2024/11/26 更新

写真a

マ トク
馬 特
MA Te
所属
大学院生命農学研究科 森林・環境資源科学専攻 森林・環境資源科学 助教
大学院担当
大学院生命農学研究科
学部担当
農学部 生物環境科学科
職名
助教
連絡先
メールアドレス

学位 1

  1. 博士(農学) ( 2018年3月   名古屋大学 ) 

研究分野 4

  1. ライフサイエンス / 森林科学

  2. ライフサイエンス / 木質科学

  3. 環境・農学 / 農業環境工学、農業情報工学

  4. 情報通信 / 数理情報学

現在の研究課題とSDGs 1

  1. 分光イメージング手法による農産物の非破壊品質評価

経歴 3

  1. 名古屋大学   大学院生命農学研究科 生物システム工学研究室   助教

    2024年4月 - 現在

  2. 名古屋大学   大学院生命農学研究科 数理・ データサイエンス・AI 教育推進事業   特任講師

    2022年10月 - 2024年3月

  3. 名古屋大学   大学院生命農学研究科 名古屋大学・カセサート大学国際連携生命農学専攻   特任助教

    2018年4月 - 2022年9月

学歴 3

  1. 名古屋大学   農学研究科   生物圏資源学専攻

    - 2018年3月

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    国名: 日本国

  2. 名古屋大学   農学研究科

    - 2015年3月

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    国名: 日本国

  3. 名古屋大学   農学部

    - 2013年3月

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    国名: 日本国

所属学協会 3

  1. 近赤外研究会   会員

  2. 日本木材学会   会員

  3. 日本木材加工技術協会

受賞 5

  1. NIR Advance Award

    2018年11月   近赤外研究会  

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    受賞区分:国際学会・会議・シンポジウム等の賞  受賞国:日本国

  2. 優秀ポスター賞

    2017年3月   日本木材学会  

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    受賞区分:国際学会・会議・シンポジウム等の賞  受賞国:日本国

  3. Best Poster Award

    2016年11月   Asian NIR Consortium  

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    受賞区分:国内外の国際的学術賞  受賞国:日本国

  4. Student Travel Award

    2014年11月   近赤外研究会  

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    受賞区分:国内学会・会議・シンポジウム等の賞  受賞国:日本国

  5. 卒業論文最優秀発表賞

    2013年2月   名古屋大学農学部生物環境科学科  

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    受賞国:日本国

 

論文 54

  1. Development of a time-resolved laser-induced fluorescence fingerprinting method for detecting low-level adulteration in extra virgin olive oil 査読有り

    Te Ma, Hao Jiang, Satoru Tsuchikawa, Tetsuya Inagaki

    Food Chemistry   465 巻   頁: 142125 - 142125   2025年2月

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    担当区分:筆頭著者   記述言語:英語  

    DOI: https://doi.org/10.1016/j.foodchem.2024.142125

  2. Enhanced detection of early bruises in apples using near-infrared hyperspectral imaging with geometrical influence correction for universal size adaptation 査読有り

    Bin Li, Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    Postharvest Biology and Technology   219 巻   頁: 113282 - 113282   2025年1月

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  3. The effects of growth rate on the age dependent variation of wood properties evaluated by differential geometry 査読有り

    Fujimoto, T; Ma, T; Inagaki, T; Tsuchikawa, S

    INDUSTRIAL CROPS AND PRODUCTS   222 巻   2024年12月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Industrial Crops and Products  

    A correct understanding of the variations seen in wood properties with tree age is of great importance for both the forestry and timber industries. However, this phenomenon is complex because of the differences between individuals and the variations associated with multiple wood properties. In this study, we have identified age-dependent changes in the state of wood as a surface that contains comprehensive information on the coupled variation of multiple properties in many individuals. By comparing the geometric quantities of the surface between sample groups with different growth rates caused by silvicultural treatments, we have discussed the ideal forest management in terms of wood quality and forest ecosystems. The slow-growing group showed larger Gaussian curvatures of the surface and a more tortuous and longer geodesic than the fast-growing group, resulting in less energy loss during tree growth. Assuming that processes with high symmetry are more sustainable, the characteristic class representing the global structure of the growth process indicates that the slow-growing group follows a more sustainable process than the fast-growing group. These results indicate that it is ideal for trees to grow slowly, in terms of variation of wood properties and forest ecosystem. Because the geometric quantities are invariant under coordinate transformations, the proposed methods provide us with the intrinsic behavior of the tree growth process independent of a specific coordinate system, that is, a concrete space spanned by the measured wood properties.

    DOI: 10.1016/j.indcrop.2024.119596

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  4. Enhanced quantification of chlorophyll a and its degradation products in olive oil using time-resolved laser-induced fluorescence fingerprint analysis 査読有り

    Ma, T; Jiang, H; Tsuchikawa, S; Inagaki, T

    FOOD CHEMISTRY   460 巻   2024年12月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Food Chemistry  

    Potential errors in the fluorescence analysis of chlorophylls and their degradation products, primarily due to spectral overlap and inner filter, are widely acknowledged. This study aimed to devise a sensitivity-enhanced technique for the concurrent quantification of chlorophyll a and its degradation products while minimizing effects from type-B chlorophylls. Initially, a time-resolved laser-induced fluorescence spectroscopic system was designed and tested on stardard chlorophyll samples. The origins, implications, and mitigation strategies of spectral overlap and the inner filter effect on the measured fluorescence intensity were thoroughly examined. Then, this methodology was proved to be efficacious within complex liquid matrices derived from olive oil. The experimental outcomes not only shed additional light on the mechanisms of chlorophyll fluorescence overlap and the inner filter effect, but also establish a general framework for developing spectrally and timely resolved fluorescence fingerprint analysis for the simultaneous quantification of chlorophylls and their degradation products at high concentrations.

    DOI: 10.1016/j.foodchem.2024.140656

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  5. Validation Study on the Practical Accuracy of Wood Species Identification via Deep Learning from Visible Microscopic Images 査読有り

    Ma, T; Kimura, F; Tsuchikawa, S; Kojima, M; Inagaki, T

    BIORESOURCES   19 巻 ( 3 ) 頁: 4838 - 4851   2024年8月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:BioResources  

    This study aimed to validate the accuracy of identifying Japanese hardwood species from microscopic cross-sectional images using convolutional neural networks (CNN). The overarching goal is to create a versatile model that can handle microscopic cross-sectional images of wood. To gauge the practical accuracy, a comprehensive database of microscopic images of Japanese hardwood species was provided by the Forest Research and Management Organization. These images, captured from various positions on wood blocks, different trees, and diverse production areas, resulted in substantial intra-species image variation. To assess the effect of data distribution on accuracy, two datasets, D1 and D2, representing a segregated and a non-segregated dataset, respectively—from 1,000 images (20 images from each of the 50 species) were compiled. For D1, distinct images were allocated to the training, validation, and testing sets. However, in D2, the same images were used for both training and testing. Furthermore, the influence of the evaluation methodology on the identification accuracy was investigated by comparing two approaches: patch evaluation and E2 image evaluation. The accuracy of the model for uniformly sized images was approximately 90%, whereas that for variably sized images it was approximately 70%.

    DOI: 10.15376/biores.19.3.4838-4851

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  6. Evaluating Soluble Solids in White Strawberries: A Comparative Analysis of Vis-NIR and NIR Spectroscopy 査読有り

    Seki, H; Murakami, H; Ma, T; Tsuchikawa, S; Inagaki, T

    FOODS   13 巻 ( 14 )   2024年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Foods  

    In recent years, due to breeding improvements, strawberries with low anthocyanin content and a white rind are now available, and they are highly valued in the market. Strawberries with white skin color do not turn red when ripe, making it difficult to judge ripeness. The soluble solids content (SSC) is an indicator of fruit quality and is closely related to ripeness. In this study, visible–near-infrared (Vis-NIR) spectroscopy and near-infrared (NIR) spectroscopy are used for non-destructive evaluation of the SSC. Vis-NIR (500–978 nm) and NIR (908–1676 nm) data collected from 180 samples of “Tochigi iW1 go” white strawberries and 150 samples of “Tochigi i27 go” red strawberries are investigated. The white strawberry SSC model developed by partial least squares regression (PLSR) in Vis-NIR had a determination coefficient R2p of 0.89 and a root mean square error prediction (RMSEP) of 0.40%; the model developed in NIR showed satisfactory estimation accuracy with an R2p of 0.85 and an RMSEP of 0.43%. These estimation accuracies were comparable to the results of the red strawberry model. Absorption derived from anthocyanin and chlorophyll pigments in white strawberries was observed in the Vis-NIR region. In addition, a dataset consisting of red and white strawberries can be used to predict the pigment-independent SSC. These results contribute to the development of methods for a rapid fruit sorting system and the development of an on-site ripeness determination system.

    DOI: 10.3390/foods13142274

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  7. Effect of dielectric barrier discharge (DBD) plasma treatment on physicochemical and 3D printing properties of wheat starch 査読有り

    Ma, S; Ma, T; Tsuchikawa, S; Inagaki, T; Wang, H; Jiang, H

    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES   269 巻   2024年6月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:International Journal of Biological Macromolecules  

    In recent years, the focus has shifted towards carbohydrate-based hydrogels and their eco-friendly preparation methods. This study involved an investigation into the treatment of wheat starch using dielectric barrier discharge (DBD) plasma technology over varying time gradients (0, 2, 5, 10, 15, and 20 min). The objective was to systematically examine the impact of different treatment durations on the physicochemical properties of wheat starch and the suitability of its gels for 3D printing. Morphology of wheat starch remained intact after DBD treatment. However, it led to a reduction in the amylose content, molecular weight, and crystallinity. This subsequently resulted in a decrease in the pasting temperature and viscosity. Moreover, the gels of the DBD-treated starch exhibited superior 3D printing performance. After a 2-min DBD treatment, the 3D printed samples of the wheat starch gel showed no significant improvements, as broken bars were evident on the surface of the 3D printed graphic, whereas DBD-20 showed better printing accuracy and surface structure, compared to the original starch without slumping. These results suggested that DBD technology holds potential for developing new starch-based gels with impressive 3D printing properties.

    DOI: 10.1016/j.ijbiomac.2024.132159

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  8. Development of a sensitivity-enhanced fluorescence lifetime spectroscopic method for nondestructive quality monitoring of mature tomatoes during storage 査読有り

    Ma, T; Inagaki, T; Tsuchikawa, S

    SCIENTIA HORTICULTURAE   330 巻   2024年4月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Scientia Horticulturae  

    The decay of fluorescence lifetime (FLT) is an absolute indication for observing the environment surrounding the fluorescent molecules. This study presents the characterization of fluorescence intensity and the FLT in tomatoes, spanning from the green to the red stage, using a novel time-resolved and laser-induced fluorescence (TRLIF) spectroscopic system. Furthermore, the applicability of this method was assessed for evaluating the postharvest quality of commercially acquired red tomatoes. The results collectively indicate a progressive decrease in the FLT of the red tomatoes throughout shelf-life storage. The average FLT loss decreased by approximately 17, 26, 32, and 38% after 1, 2, 3, and 4 d, respectively. Furthermore, the first principal component scores of the time-resolved spectra were confirmed to be stable for early quality degradation monitoring purposes. This investigation highlights that the devised TRLIF spectroscopic technique is a non-destructive and robust method for studying the degradation of fluorescent compounds. It facilitates an in-depth exploration of the underlying mechanisms behind the fluorescent phenomena in postharvest research.

    DOI: 10.1016/j.scienta.2024.113059

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  9. Three-dimensional visualization and detection of early bruise in apple based on near-infrared hyperspectral imaging coupled with geometrical influence correction 査読有り

    Li, B; Ma, T; Bai, LS; Inagaki, T; Seki, H; Tsuchikawa, S

    POSTHARVEST BIOLOGY AND TECHNOLOGY   210 巻   2024年4月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Postharvest Biology and Technology  

    Visible-near-infrared (Vis-NIR) spectral imaging holds great promise for the automatic detection of fruit defects. However, uneven brightness resulting from fruit geometry and the limitations of one-directional imaging significantly restrict the current detection to a limited area. This study presents a rotation measurement system that combines a line-scan NIR-hyperspectral imaging (HSI) camera with a laser profile. A total of 72 apple samples with bruises in the central and edge regions were prepared. A 360° scanning approach was employed to collect HSI and shape data from the entire surface of the samples over a 6-h post-bruising period. Height and angle corrections were applied to eliminate the surface geometric influences on the HSI data, resulting in improved reflectance spectrum uniformity. A two-step principal component analysis method was employed for image enhancement, followed by a straightforward bruise detection technique using global segmentation and connected-domain selection. The results demonstrated an overall improvement in bruise detection over time. Moreover, the correction significantly enhanced the detection accuracy. After 6 h of bruising, the corrected data achieved a classification accuracy of 90.3% and an identification rate of 83.3% for central bruises and 61.1% for edge bruises, whereas the uncorrected data yielded 70.8%, 58.3%, and 31.9%, respectively. Thus, this study successfully detected early bruising across the entire surface of apples and improved the detection in low-intensity edge areas. The proposed method has the potential to contribute to the comprehensive evaluation of agricultural products with irregular geometries.

    DOI: 10.1016/j.postharvbio.2023.112753

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  10. Three-dimensional modeling of moisture transport in wood using near-infrared hyperspectral imaging and X-ray computed tomography in conjunction with finite element analysis 査読有り

    Zeng, WP; Fujimoto, T; Inagaki, T; Tsuchikawa, S; Ma, T

    JOURNAL OF WOOD SCIENCE   70 巻 ( 1 )   2024年1月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Wood Science  

    In past studies, finite element analysis (FEA) methods have been used to simulate the thermal and moisture coupling of wood. However, challenges remain in achieving high-quality three-dimensional (3D) simulations, mainly because of the heterogeneous and complex structure of wood and its difficult-to-detect internal structure, which makes modeling challenging, in addition to the lack of robust experimental techniques to validate simulation results. In this study, the FEA simulation model was refined by combining X-ray computed tomography (CT) and near-infrared hyperspectral imaging (NIR-HSI). CT was used to probe the 3D density of wood, and a novel FEA tetrahedral mesh was constructed based on the results. The NIR-HSI method visualizes the moisture distribution during adsorption and desorption inside the wood. This result is then used to adjust the parameters of the FEA simulation model and as a reference value to evaluate the simulation results. The visualization and simulation results fit well with the theoretical properties. The simulation results can more accurately reflect the spatial distribution and transfer trend of wood moisture at different points in time. Therefore, the CT and NIR-HSI-based 3D heat and moisture-coupled FEA model of wood proposed in this study can be used as a basis for optimizing drying parameters to provide high-quality wood.

    DOI: 10.1186/s10086-023-02120-2

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  11. Primary assessment of macronutrients in durian (CV Monthong) leaves using near infrared spectroscopy with wavelength selection 査読有り

    Phanomsophon, T; Jaisue, N; Worphet, A; Tawinteung, N; Khurnpoon, L; Lapcharoensuk, R; Krusong, W; Pornchaloempong, P; Sirisomboon, P; Inagaki, T; Ma, T; Tsuchikawa, S

    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY   304 巻   頁: 123398   2024年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy  

    Farmers would be able to regulate fertilization and produce quality durian if they knew the nutrient concentration in durian leaves. A long period of time for traditional nutritional content determination is needed. Therefore, near-infrared spectroscopy is a good method for nondestructive and quick nutrient content evaluation. The leaf sample matrices (fresh leaves, dried ground leaves, and dried ground leaf pellets) were scanned by Fourier transform near-infrared (FT-NIR) with a wavelength of 12,500–3,600 cm−1. Regression models were developed using partial least squares (PLS) with full wavelength, short wavelength, and selected wavelength by successive projections algorithm (SPA). In this study, the model for N and K concentration was acceptable and the prediction was considered good but for P content not had succeeded. As a result, the PLS-SPA model using fresh leaf samples for evaluating N content in durian leaves exhibited performance of r2 = 0.852, SEP = 0.14%, RPD = 2.63 and bias = −0.020%. The PLS-SPA model using dried ground leaf samples for evaluating K content in durian leaves exhibited performance of r2 = 0.820, SEP = 0.13%, RPD = 2.36 and bias = 0.006%. This research found that it is possible to apply NIR waves to predict N and K concentrations in durian leaves. It is not necessary to predict directly from the wavelengths associated with -N or -K bonds. Instead, NIR can measure them indirectly from the bonding of proteins, which are products formed by N and K. In addition, selecting the wavelength that is related to the value to be measured can produce results that are not significantly different from using full or short wavelengths. These models can assist farmers in rapidly predicting N and K content in durian leaves for immediate fertilizer adjustment.

    DOI: 10.1016/j.saa.2023.123398

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  12. Application of Near-Infrared Spectroscopy to Forest and Wood Products 査読有り

    Tsuchikawa, S; Inagaki, T; Ma, T

    CURRENT FORESTRY REPORTS   9 巻 ( 6 ) 頁: 401 - 412   2023年12月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Current Forestry Reports  

    Purpose of Review: Forest and wood products are often characterized by a uniformity of quality attributes, which necessitates the development of rapid and non-destructive quality evaluation methods to ensure their optimal quality. Near-infrared spectroscopy (NIRS) represents a highly suitable approach for the characterization of organic compounds, and is generally combined with sophisticated multivariate analysis methods. This review article presents a range of scientific and technical reports showcasing the successful use of NIRS for evaluating forest and wood products, mainly published within the past 5 years. Recent Findings: Continuous advancements in spectral imaging techniques and the integration of big-data analytics have greatly enhanced the capabilities of NIR instrumentation, enabling its widespread application across diverse fields. Although NIR spectral imaging methods do have some limitations when it comes to online grading, they can still be used to test small quantities of samples at a batch level. Moreover, the ever-increasing use of handheld devices has made NIRS easily accessible. Summary: We aim to provide a summary of new research in basic spectroscopic research, integrating the improvements of spectral imaging methods and big-data analytics. Furthermore, low-cost and portable devices have been produced, enabling remote analysis and further expanding the scope of NIRS applications. Looking forward, we anticipate that continued advancements in this field will enable even wider applications of NIRS for online or at-line quality monitoring in diverse fields.

    DOI: 10.1007/s40725-023-00203-3

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  13. Review of near infrared hyperspectral imaging applications related to wood and wood products 査読有り 国際共著

    Schimleck, L; Ma, T; Inagaki, T; Tsuchikawa, S

    APPLIED SPECTROSCOPY REVIEWS   58 巻 ( 9 ) 頁: 585 - 609   2023年10月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Applied Spectroscopy Reviews  

    Hyperspectral imaging is a technique that combines spectroscopy and imaging. Originally utilized in the 1980’s by the remote sensing community it is now utilized in a wide variety of applications. Spectral imaging was first used for the detection of compression wood in the late 1990’s and since that time research focused on wood and wood products has steadily increased with a variety of applications reported. While there are several reviews of wood related research utilizing near infrared spectrometers a comprehensive summary of wood—hyperspectral imaging research is lacking. Near infrared hyperspectral imaging systems (NIR-HSI) typically have a wavelength range of 900–1700 nm, whereas short-wave infrared hyperspectral imaging (SWIR-HSI) systems range from 1000 to 2500 nm. We provide a detailed account of the various studies that have been published utilizing both camera types.

    DOI: 10.1080/05704928.2022.2098759

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  14. Validation study on light scattering changes in kiwifruit during postharvest storage using time-resolved transmittance spectroscopy 査読有り

    Ma, T; Inagaki, T; Tsuchikawa, S

    SCIENTIFIC REPORTS   13 巻 ( 1 ) 頁: 16556   2023年10月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Scientific Reports  

    Visible and near-infrared spectroscopy has been well studied for characterizing the organic compounds in fruit and vegetables from pre-harvest to late harvest. However, due to the challenge of decoupling of optical properties, the relationship between the collected samples’ spectral data and their properties, especially their mechanical properties (e.g., firmness, hardness, and resilience) is hard to understand. This study developed a time-resolved transmittance spectroscopic method to validate the light scattering changing characteristics in kiwifruit during shelf-life and in cold storage conditions. The experimental results demonstrated that the reduced scattering coefficient (μs′) of 846 nm inside kiwifruit decreased steadily during postharvest storage and is more evident under shelf-life than in cold storage conditions. Moreover, the correlation between the μs′ and the storage time was confirmed to be much higher than that using the external color indexes measured using a conventional colorimeter. Furthermore, employing time-resolved profiles at this single wavelength, an efficacious mathematical model has been successfully formulated to classify the stages of kiwifruit softening, specifically early, mid-, and late stages. Notably, classification accuracies of 84% and 78% were achieved for the shelf-life and cold storage conditions, respectively.

    DOI: 10.1038/s41598-023-43777-5

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  15. Fit-free analysis of fluorescence lifetime imaging data using chemometrics approach for rapid and nondestructive wood species classification 査読有り

    Ma, T; Inagaki, T; Tsuchikawa, S

    HOLZFORSCHUNG   77 巻 ( 9 ) 頁: 724 - 733   2023年9月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Holzforschung  

    Conventional fluorescence spectroscopy has been suggested as a valuable tool for classifying wood species rapidly and non-destructively. However, because it is challenging to conduct absolute emission intensity measurements, fluorescence analysis statistics are difficult to obtain. In this study, another dimension of fluorescence, that is, fluorescence lifetime, was further evaluated to address this issue. A time-resolved fluorescence spectroscopic measurement system was first designed, mainly using a streak camera, picosecond pulsed laser at 403 nm, and a spectroscope, to collect the fluorescence time-delay (FTD) profiles and steady-state fluorescence intensity (FI) spectra simultaneously from 15 wood species. For data analysis, principal component analysis was used to "compress"the mean-centered FTD and FI spectra. Then, support vector machine classification analysis was utilized to train the wood species classification model based on their principal component scores. To avoid overfitting, ten-fold cross-validation was used to train the calibration model using 70 % of the total samples, and the remaining 30 % hold-out validation was used to test its reproducibility. The cross-validation accuracies were 100 % (5 softwoods) and 96 % (10 hardwoods), with test-validation accuracies of 96 % and 89 %.

    DOI: 10.1515/hf-2023-0017

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    その他リンク: https://www.degruyter.com/document/doi/10.1515/hf-2023-0017/pdf

  16. Development of a sensitivity-enhanced chlorophyll fluorescence lifetime spectroscopic method for nondestructive monitoring of fruit ripening and postharvest decay 査読有り

    Ma, T; Inagaki, T; Tsuchikawa, S

    POSTHARVEST BIOLOGY AND TECHNOLOGY   198 巻   2023年4月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Postharvest Biology and Technology  

    Nondestructive monitoring of the environmental changes around fluorescent molecules in postharvest fruit is highly informative for monitoring their ripening and early decay process. In this study, a time-resolved laser-induced fluorescence (TRLIF) spectroscopic system, including a streak camera, spectrometer, and 403 nm picosecond-pulsed laser, was first developed. Then, representative pigments in photosynthesis (chlorophyll a, chlorophyll b, and carotenoids liquid samples) were initially measured and studied to determine whether the developed TRLIF spectroscopic system could produce the characteristics of chlorophyll fluorescence decay traces. Finally, the same approach was tested to monitor the ripening and early decay processes of each three samples of avocado and strawberry. The overall findings demonstrated that the fluorescence lifetime (FLT) of the fruit samples declined steadily during the shelf-life storage. For the avocados samples, the average FLT loss at the wavelength range of 706–749 nm decreased by approximately 23 % and 31 % at 1 and 2 d under shelf-life storage, respectively. For the strawberry samples, the average FLT loss at the wavelength range of 631–706 nm decreased by approximately 22 %, 46 %, 68 %, and 73 % at 0.5, 1, 1.5, and 2 d under the same shelf-life storage condition. This study indicates that the developed TRLIF spectroscopic method is potentially robust and accurate for assessing the ripening and early decay process of various climacteric and non-climacteric fruit.

    DOI: 10.1016/j.postharvbio.2022.112231

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  17. Visualization of Sugar Content Distribution of White Strawberry by Near-Infrared Hyperspectral Imaging 査読有り

    Seki, H; Ma, T; Murakami, H; Tsuchikawa, S; Inagaki, T

    FOODS   12 巻 ( 5 )   2023年3月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Foods  

    In this study, an approach to visualize the spatial distribution of sugar content in white strawberry fruit flesh using near-infrared hyperspectral imaging (NIR-HSI; 913–2166 nm) is developed. NIR-HSI data collected from 180 samples of “Tochigi iW1 go” white strawberries are investigated. In order to recognize the pixels corresponding to the flesh and achene on the surface of the strawberries, principal component analysis (PCA) and image processing are conducted after smoothing and standard normal variate (SNV) pretreatment of the data. Explanatory partial least squares regression (PLSR) analysis is performed to develop an appropriate model to predict Brix reference values. The PLSR model constructed from the raw spectra extracted from the flesh region of interest yields high prediction accuracy with an RMSEP and (Formula presented.) values of 0.576 and 0.841, respectively, and with a relatively low number of PLS factors. The Brix heatmap images and violin plots for each sample exhibit characteristics feature of sugar content distribution in the flesh of the strawberries. These findings offer insights into the feasibility of designing a noncontact system to monitor the quality of white strawberries.

    DOI: 10.3390/foods12050931

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  18. Experimental study and three-dimensional modeling of moisture transport in wood by means of near-infrared hyperspectral imaging coupled with a heat and mass transfer simulation method 査読有り

    Ma, T; Morita, G; Inagaki, T; Tsuchikawa, S

    HOLZFORSCHUNG   76 巻 ( 8 ) 頁: 699 - 710   2022年8月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Holzforschung  

    Substantial efforts have been undertaken for visualizing and simulating the characteristics of water movement in wood. However, three-dimensional (3D) thermo-hygric simulations still pose challenges, not only because wood has a heterogeneous microstructure that results in complex computational models but also because there is a lack of proper experimental techniques to support and validate the model constructions. In this study, the moisture distribution in wood during the water adsorption and desorption processes was first visualized using a near-infrared hyperspectral imaging (NIR-HSI) method that has high resolution, sensibility, and stability. Then, based on the moisture visualization results, the main parameters of a mass transfer simulation code were varied. The visualization and simulation results were confirmed to match well with the main characteristics; e.g., drying speed was slower in the wood parts with higher densities. Additionally, there was a relatively large gradient over the surface layer of the wood samples as the drying progressed, whereas this was not an obvious feature in the water adsorption process. Hence, this study proposes that the NIR-HSI method can be combined with thermo-hygric and 3D simulation model construction. Such an approach provides the basis for optimizing drying conditions and providing high-quality wood products.

    DOI: 10.1515/hf-2021-0203

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  19. Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples 査読有り 国際共著

    Onmankhong, J; Ma, T; Inagaki, T; Sirisomboon, P; Tsuchikawa, S

    INFRARED PHYSICS & TECHNOLOGY   123 巻   2022年6月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Infrared Physics and Technology  

    Rapid and non-destructive detection of genuine Thai Jasmine rice (Khao Dawk Mali 105 (KDML105)) from Pathum Thani1 (PTT1) and Phitsanulok2 (PSL2) under either milled or brown conditions is required to disrupt fraudulent. This study aimed to resolve this real issue using long-wave near infrared hyperspectral imaging (NIR-HSI) coupled with machine learning and deep learning approaches. The best classification accuracy for the milled rice was achieved using the spectral imaging-based analysis on the NIR-HSI data with selected wavelength, approximately 95% for the test set either by convolutional neural network or support vector machine (SVM), whereas for the brown rice, the SVM model based on the averaged NIR spectra could achieve the best classification accuracy of 95.4%. It suggests the chemical component difference and its spatial distribution in the milled rice could contribute higher classification accuracy. Additionally, the surface bran effects of brown rice could be reduced by using averaged spectral data coupled with the SVM method.

    DOI: 10.1016/j.infrared.2022.104100

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  20. Comparative Performance of NIR-Hyperspectral Imaging Systems 査読有り 国際共著

    Te Ma, Laurence Schimleck, Joseph Dahlen, Seung-Chul Yoon, Tetsuya Inagaki, Satoru Tsuchikawa, Anna Sandak, Jakub Sandak

    foundations     2022年6月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.3390/foundations2030035

  21. Production of Nanocellulose Film from Abaca Fibers 査読有り 国際共著

    Lapuz, AR; Tsuchikawa, S; Inagaki, T; Ma, T; Migo, V

    CRYSTALS   12 巻 ( 5 )   2022年5月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Crystals  

    Abaca fibers were subjected to a TEMPO mediated oxidation to extract nanocellulose on a 500 L capacity locally fabricated reactor. A yield of 46.7% white gel material with 2.23% solid content was obtained from an overnight reaction. Transmission electron microscopy scan of the white gel material confirms the production of relatively short highly individualized cellulose nanofibril (CNF) as the diameter of abaca fiber was reduced from 16.28 µm to 3.12 nm with fiber length in the range of 100 nm to 200 nm. Nanocellulose film was prepared using air drying (CNF-VC) and vacuum oven drying (CNF-OD). The effect of CNF concentration on the physical, morphological, thermal and mechanical properties were evaluated. FTIR spectra showed cellulose I spectra between abaca fiber with both the CNF-VC film and CNF-OD film with two distinct peaks at 1620 cm−1 and 1720 cm−1 attributed to the carboxyl group resulting from the TEMPO oxidation. In addition, the carboxyl group decreases in thermal stability of cellulose. Moreover, the XRD scan showed a decrease in crystallinity index of CNF films compared to abaca fibers. CNF-VC film showed the highest tensile strength at 0.4% concentration with 88.30 MPa, while a 89.72 MPa was observed for CNF-OD film at 0.8% concentration.

    DOI: 10.3390/cryst12050601

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  22. Rapid and nondestructive prediction of firmness, soluble solids content, and pH in kiwifruit using Vis-NIR spatially resolved spectroscopy 査読有り

    Ma, T; Zhao, J; Inagaki, T; Su, Y; Tsuchikawa, S

    POSTHARVEST BIOLOGY AND TECHNOLOGY   186 巻   2022年4月

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    担当区分:筆頭著者   記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Postharvest Biology and Technology  

    This paper reports an evaluation of firmness, soluble solids content (SSC), and acidity (pH) in kiwifruit using a newly designed visible–near-infrared (Vis–NIR) spatially resolved spectroscopic (SRS) system. The system mainly comprises a cost-effective Vis–NIR hyperspectral imaging camera, a halogen light source, and 36 light-receiving silica fibers which were divided into six groups (1, 2, 3, 4, 5, and 10 mm away from the light illumination) used to collect diffusely reflected light from sample surface. During the experiment, time-resolved spectroscopy (TRS) was used to validate the light scattering characteristics at a single wavelength of 846 nm by transmission measurement, which differed from the reflectance measurement of the SRS system. The TRS results show that firmer kiwifruits tended to have a lower transmitted light intensity and a higher full width at half maximum value. The SRS results indicate that the reflected light intensity decreased more with an increased distance from the illumination spot in firmer kiwifruits. The results of the two methods supported the same view, i.e., firmer kiwifruit indicated higher degrees of light scattering inside. Following on, the calibration models for kiwifruit properties were constructed using the SRS data coupled with partial least squares regression analysis. Finally, the prediction accuracies were benchmarked against standard diffuse reflectance spectroscopy using one fiber group position of the same SRS system. The overall results showed the benefits of using the SRS system to predict fruit firmness by enhancing light scattering effects and predicting the SSC required for reducing such effects.

    DOI: 10.1016/j.postharvbio.2022.111841

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  23. Application of near-infrared spectroscopy to agriculture and forestry 査読有り

    Tsuchikawa, S; Ma, T; Inagaki, T

    ANALYTICAL SCIENCES   38 巻 ( 4 ) 頁: 635 - 642   2022年4月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Analytical Sciences  

    Depending on the uniformity of the quality attribute within agricultural products, there is often a need to develop non-destructive and efficient evaluation methods to assure their qualities. Near-infrared spectroscopy (NIRS) is a well-suited method to characterize organic compounds, particularly when coupled with multivariate analysis methods. This review article introduces scientific and technical reports using the NIRS to evaluate food, agriculture, and forest products. Overall, basic spectroscopic research is continuously progressing; indeed, in combination with big-data information technology and spectral imaging techniques, material analysis is improving to maximize performance. Portable and low-cost devices have also been designed and produced, enabling remote analysis. Future advancements are expected to result in its applications in even more fields for online or at-line quality monitoring. Graphical abstract: [Figure not available: see fulltext.]

    DOI: 10.1007/s44211-022-00106-6

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  24. Moisture transport dynamics in wood during drying studied by long-wave near-infrared hyperspectral imaging 査読有り

    Ma, T; Morita, G; Inagaki, T; Tsuchikawa, S

    CELLULOSE   29 巻 ( 1 ) 頁: 133 - 145   2022年1月

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    担当区分:筆頭著者   記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Cellulose  

    The complexities of wood microstructure cause difficulties in understanding water movement characteristics during drying. Here, the water transport dynamics in softwood (Japanese cypress) with different sample lengths (30 mm, 60 mm, and 90 mm) and various drying temperatures (30 °C, 60 °C, and 90 °C) were studied using a rapid and high-resolution moisture content (MC) mapping method based on long-wave near-infrared hyperspectral imaging (NIR-HSI). The observations of this study are as follows: slow drying at approximately 30 °C, the area near the subsurface of the wood samples tends to have higher MC than the central parts during drying, especially in the case of longer wood samples. For drying at higher temperatures, strongly bonded water appeared at the surface areas much earlier, which could easily cause sample deformation and cracking. Overall, the experimental results suggest the capillary effects could play a major role at the first stage of slow drying at fiber level; then, the transfers between bound and free water could play a significant power source in the second drying stage. It is expected that this study will be of help in providing a basis to study and simulate the drying characteristics of cellular and hydrophilic materials.

    DOI: 10.1007/s10570-021-04290-y

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  25. Near-infrared spectroscopy and hyperspectral imaging can aid in the prediction and mapping of polyploid acacia hybrid wood properties in tree improvement programs 査読有り

    Viet, DD; Ma, T; Inagaki, T; Kim, NT; Tsuchikawa, S

    HOLZFORSCHUNG   75 巻 ( 12 ) 頁: 1067 - 1080   2021年12月

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Holzforschung  

    Acacia, including Acacia hybrids, are some of the most important species grown as part of the Vietnamese wood industry. Rapid methods to identify the variations in the wood properties of Acacia hybrids however, are a currently lacking and creating limits for their breeding programs. In this study, nine Acacia hybrid clones, including those that were diploid, triploid, and tetraploid were evaluated using near-infrared spectroscopy (NIR) and hyperspectral imaging (HSI). The standard normal variate (SNV) and second derivative (SP2D) were applied to compare the performances of NIR and HSI using partial least square regression. The HSI images were acquired at wavelengths from 1033 to 2230 nm and the SNV and SP2D described the variations in the wood properties. The NIR predicted the wood physical properties better than HSI, while they provided similar predictions for the mechanical properties. The mapping results showed low densities around the pith area and high densities near the bark. They also revealed that the air-dry moisture content changed at different positions within a disk and was dependent on its position within the tree. Overall, NIR and HSI were found to be potential wood property prediction tools, suitable for use in tree improvement programs.

    DOI: 10.1515/hf-2021-0024

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  26. Measuring the tensile strain of wood by visible and near-infrared spatially resolved spectroscopy 査読有り

    Ma, T; Inagaki, T; Yoshida, M; Ichino, M; Tsuchikawa, S

    CELLULOSE   28 巻 ( 17 ) 頁: 10787 - 10801   2021年11月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Cellulose  

    Strain measurement is critical for wood quality evaluation. Using conventional strain gauges constantly is high cost, also challenging to measure precious wood materials due to the use of strong adhesive. This study demonstrates the correlation between the light scattering degrees inside the wood during tension testing and their macroscopic strain values. A multifiber-based visible-near-infrared (Vis–NIR) spatially resolved spectroscopy (SRS) system was designed to rapidly and conveniently acquire such light scattering changes. For the preliminary experiment, samples with different thicknesses, from 2 to 5 mm, were measured to evaluate the influence of sample thickness. The differences in Vis–NIR SRS spectral data diminished with an increase in sample thickness, suggesting that the SRS method can successfully measure the wood samples' whole strain (i.e., surface and inside). Then, for the primary experiment, 18 wood samples were each prepared with approximately the same sample thickness of 2 mm and 5 mm to construct strain calibration models, respectively. The prediction accuracy of the 2-mm samples was characterized by a determination coefficient (R2) of 0.81 with a root mean squared error (RMSE) of 343.54 με for leave-one-out cross-validation; for test validation, the validation accuracy was characterized by an R2 of 0.76 and an RMSE of 395.35 με. For the validation accuracy of the 5-mm samples, R2val was 0.69 with 440.78 με RMSEval. Overall, the presented calibration results of the SRS approach were confirmed to be superior to the standard diffuse reflectance spectroscopy.

    DOI: 10.1007/s10570-021-04239-1

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    その他リンク: https://link.springer.com/article/10.1007/s10570-021-04239-1/fulltext.html

  27. Parameter Optimization of Vibrating and Comb-Brushing Harvesting of <i>Lycium barbarum</i> L. Based on FEM and RSM 査読有り

    Zhao, J; Ma, T; Inagaki, T; Chen, Y; Hu, GR; Wang, ZW; Chen, QY; Gao, ZN; Zhou, JG; Wang, MH; Tsuchikawa, S; Chen, J

    HORTICULTURAE   7 巻 ( 9 ) 頁: 286 - 286   2021年9月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Horticulturae  

    The current mechanical harvesting methods of Lycium barbarum L. are labor intensive and cause too much damage, but vibrating and comb‐brushing harvesting can increase the efficiency while minimizing the damage. However, optimizing the main factors and their parameter values of vibrating and comb‐brushing harvesting is challenging. To achieve the high‐efficiency and low‐damage harvesting of L. barbarum, firstly, the mechanical models of the materials used in the experiments were established based on the physical tests. Then, the vibrating and comb‐brushing harvesting simulations were conducted based on FEM to acquire the ranges of the parameter values. The effects of the rotating speed, material, and amplitude on the harvesting rate of ripe fruit and harvesting rate of unripe fruit, as well as the damage rate of ripe fruit were determined based on RSM. Finally, the optimized parameters were obtained and verified using the field experiments. The field experiments showed that the harvesting rate of ripe fruit was 85.8%, the harvesting rate of unripe fruit was 10.5%, and the damage rate of ripe fruit was 9.7%. The findings provided the optimal parameter values, which were a design basis for the vibrating and comb‐brushing harvesters of L. barbarum.

    DOI: 10.3390/horticulturae7090286

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  28. Modal Analysis and Experiment of a <i>Lycium barbarum</i> L. Shrub for Efficient Vibration Harvesting of Fruit 査読有り

    Zhao, J; Tsuchikawa, S; Ma, T; Hu, GR; Chen, Y; Wang, ZW; Chen, QY; Gao, ZN; Chen, J

    AGRICULTURE-BASEL   11 巻 ( 6 ) 頁: 519 - 519   2021年6月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Agriculture (Switzerland)  

    The most common harvesting method of Lycium barbarum L. (L. barbarum) is manual harvesting, resulting in low efficiency and high cost. Meanwhile, the efficiency of vibration harvesting, which is considered an efficient mechanical harvesting method, can be significantly improved if the optimized resonance frequency of the shrub can be obtained. To vibration harvest fruit efficiently, a 3D model of the shrub was established based on measurements of the shape parameters, and material mechanics models of the branches were established based on physical tests. The modal analysis of the shrub based on finite element method (FEM) simulation was performed to obtain the range of resonance frequency, and the modal experiment of the shrub using acceleration sensors and an impact hammer was conducted to obtain the accurate resonance frequency. Based on the results of the modal analysis and experiment, the optimized resonance frequency was determined to be 2 Hz. The field experiment showed that the fruit fell off when the branches were vibrated at this frequency. The results provide the design basis for the efficient vibration harvesting of L. barbarum.

    DOI: 10.3390/agriculture11060519

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  29. Finite Element Method Simulations and Experiments of Detachments of <i>Lycium barbarum</i> L. 査読有り

    Zhao, J; Ma, T; Inagaki, T; Chen, QY; Gao, ZN; Sun, LJ; Cai, HX; Chen, C; Li, CL; Zhang, SX; Tsuchikawa, S; Chen, J

    FORESTS   12 巻 ( 6 ) 頁: 699 - 699   2021年6月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Forests  

    When harvesting Lycium barbarum L., excess amounts of detachments of the half-ripe fruit, unripe fruit, flowers, and leaves significantly affect the yield and adversely affect the subsequent processing, such as drying and grading. Finite element method (FEM) simulations and experiments of detachments were performed to harvest more ripe fruit and less half-ripe fruit, unripe fruit, flowers, and leaves. Three-dimensional (3D) models of the ripe fruit, half-ripe fruit, unripe fruit, flowers, leaves, fruit calyxes (flower calyx), fruit stems (flower stem), and branches were constructed using a 3D scanner, and material mechanics models of the above parts were established based on physical tests with universal testing machines. Detachment simulations and experiments of the ripe fruit, half-ripe fruit, unripe fruit, flowers, and leaves were performed to determine the detachment mechanisms and sequences. The detachment forces of each set of two parts were obtained. The field experiments showed that the detachment force between the fruit and calyx of ripe fruit was the lowest value of these forces, and only the ripe fruit was the first to detach from the calyx when harvesting. The results provided data support on the mechanics properties of wood and the optimization basis for the harvesting method of L. barbarum.

    DOI: 10.3390/f12060699

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  30. Demonstration of the applicability of visible and near-infrared spatially resolved spectroscopy for rapid and nondestructive wood classification 査読有り

    Ma, T; Inagaki, T; Tsuchikawa, S

    HOLZFORSCHUNG   75 巻 ( 5 ) 頁: 419 - 427   2021年5月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Holzforschung  

    Although visible and near-infrared (Vis-NIR) spectroscopy can rapidly and nondestructively identify wood species, the conventional spectrometer approach relies on the aggregate light absorption due to the chemical composition of wood and light scattering originating from the physical structure of wood. Hence, much of the work in this area is still limited to further spectral pretreatments, such as baseline correction and standard normal variate to reduce the light scattering effects. However, it should be emphasized that the light scattering rather than absorption inwood is dominant, and thismust be effectively utilized to achieve highly accurate and robust wood classification. Here a novelmethod based on spatially resolved diffuse reflectance (wavelength range: 600-1000 nm) was demonstrated to classify 15 kinds of wood. A portable Vis-NIR spectral measurement system was designed according to previous simulations and experimental results. To simplify spectral data analysis (i.e., against overfitting), support vector machine (SVM) model was constructed for wood sample classification using principal component analysis (PCA) scores. The classification accuracies of 98.6% for five-fold crossvalidation and 91.2%for test set validation were achieved. This study offers enhanced classification accuracy and robustness over other conventional nondestructive approaches for such various kinds of wood and sheds light on utilizing visible and short-wave NIR light scattering for wood classification.

    DOI: 10.1515/hf-2020-0074

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  31. Non-destructive and fast method of mapping the distribution of the soluble solids content and pH in kiwifruit using object rotation near-infrared hyperspectral imaging approach 査読有り

    Ma, T; Xia, Y; Inagaki, T; Tsuchikawa, S

    POSTHARVEST BIOLOGY AND TECHNOLOGY   174 巻   2021年4月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Postharvest Biology and Technology  

    This work aimed to offer a non-destructive and fast approach to visualizing the soluble solids content (SSC) and acidity (pH) of the whole kiwifruit. Most of the visible-near-infrared spectral imaging techniques used in postharvest fruit and vegetables assessment exhibit issues related to the identification of the quality spatial distribution within intact samples, mainly due to sampling surface curvature effects. Here, a push-broom-type NIR hyperspectral imaging camera and a sample rotation stage were combined to scan entire kiwifruit surfaces. Then, key wavelengths in the range of 1002–2300 nm were extracted for constructing SSC and pH calibration models by partial least squares regression analysis. The resulting SSC prediction accuracy was sufficiently high: the coefficient of determination (R2cv) and the root mean square error (RMSEcv) of cross-validation set were 0.74 and 0.7 %, respectively. For pH, the R2cv and RMSEcv were 0.64 and 0.14, respectively. Finally, the SSC and pH 360˚mapping results surpassed earlier works in this area that they showed a distinct spatial distribution within each intact sample. It was concluded that the proposed object rotation hyperspectral imaging approach is promising for the non-destructive prediction mapping of SSC and pH in kiwifruit or other cylindrical-shaped samples.

    DOI: 10.1016/j.postharvbio.2020.111440

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  32. Rapid and nondestructive evaluation of hygroscopic behavior changes of thermally modified softwood and hardwood samples using near-infrared hyperspectral imaging (NIR-HSI) 査読有り

    Ma, T; Schimleck, L; Inagaki, T; Tsuchikawa, S

    HOLZFORSCHUNG   75 巻 ( 4 ) 頁: 345 - 357   2021年4月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Holzforschung  

    The objective of this work was to provide a rapid and nondestructive imaging method for evaluating the hygroscopic behavior of thermally modified lignocellulosic materials (softwood and hardwood). The difference in the hygroscopic behavior was explained by moisture content (MC) mapping results and molecular association characteristics of absorbed water (i.e. weakly, moderately, and strongly hydrogen-bonded water molecules) with wood at various relative humidities (RH). To achieve this goal, near-infrared (NIR) spectral images in the wavelength range 1816-2130 nm (covering the combination of stretching and deformation vibrations for OH) were used to visualize MC distributions over the surface of Japanese cedar and European beech samples which had been thermally treated at different temperatures. A curve fitting method was utilized to explore changes in water-wood structure characteristics based on shifts to longer wavelength in spectral signals caused by increasing MC. The curve fitting results support the recent nuclear magnetic resonance (NMR) studies that different bound water stabilities may pool in different compartments of the wood cell wall. Furthermore, water was firmly bound to wood at low RHs and H-bonds gained mobility as the number of absorbed molecules increased. It is concluded that NIR hyperspectral imaging also has the potential to be a complementary methodology for studying the transient changes of wood-water interactions before equilibrium.

    DOI: 10.1515/hf-2019-0298

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  33. Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy 査読有り

    Ma T., Xia Y., Inagaki T., Tsuchikawa S.

    Postharvest Biology and Technology   173 巻   2021年3月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Postharvest Biology and Technology  

    Visible–near infrared (Vis–NIR) spectroscopy is a rapid and nondestructive method used to characterize organic compounds in postharvest fruit and vegetable assessment. However, developing robust calibration models is a challenge as conventional spectrometers collect only the cumulative effects of light absorption and scattering. In this study, a multifiber-based Vis–NIR spatially resolved spectra measurement system was designed for simultaneous evaluation of soluble solid content (SSC) and firmness in apple. Thirty silica fibers separated into five groups at 1, 2, 3, 4, and 5 mm away from the light illumination point and connected to a cost-effective Vis–NIR hyperspectral imaging camera were used to acquire spectral data with an improved signal-to-noise ratio (S/N) by a two-step signal averaging process (i.e., 30 camera pixels per fiber and six optical fibers per group). Reflectance ratio spectra were then calculated by dividing the diffusely reflected light intensity detected at distance d +△ by that detected at distance d to realize a light reference-free approach. Finally, the useful explanatory variables were selected by competitive adaptive reweighted sampling (CARS) to construct individual calibration models for various regions. The coefficients of determination (Rcal2) and the root mean square errors (RMSEcal) of the best-performing calibration models were approximately 0.97 and 0.20 % for SSC and 0.96 and 0.37 N for firmness, respectively. Furthermore, the predicted results were 0.92 and 0.35 % for SSC and 0.87 and 0.71 N for firmness. Our method offers low-cost and portable detection of SSC and firmness for postharvest fruit evaluation.

    DOI: 10.1016/j.postharvbio.2020.111417

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  34. Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis-NIR spatially resolved spectroscopy

    Ma, T; Xia, Y; Inagaki, T; Tsuchikawa, S

    POSTHARVEST BIOLOGY AND TECHNOLOGY   173 巻   2021年3月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1016/jpostharvbio.2020.111417

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  35. Wooden Material and Environmental Sciences 招待有り 査読有り

    Ma T., Tsuchikawa S., Inagaki T.

    Near-Infrared Spectroscopy: Theory, Spectral Analysis, Instrumentation, and Applications     頁: 361 - 379   2020年11月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:論文集(書籍)内論文   出版者・発行元:Near-Infrared Spectroscopy: Theory, Spectral Analysis, Instrumentation, and Applications  

    Near-infrared spectroscopy (NIRS) is suitable for both the qualification and quantification of organic properties associated with C-H, O-H, or N-H groups. There have been considerable efforts made toward proposing and developing various technologies and devices for the rapid and nondestructive measurement of various samples related to natural materials and environmental sciences. In this chapter, the utilizations of NIRS in the fields of wood material, soil, sediment, waste liquid, atmospheric gas detection, and archeological science will be explained through some representative studies.

    DOI: 10.1007/978-981-15-8648-4_16

    Scopus

  36. Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach 査読有り

    Ma, T; Tsuchikawa, S; Inagaki, T

    COMPUTERS AND ELECTRONICS IN AGRICULTURE   177 巻   2020年10月

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Computers and Electronics in Agriculture  

    Seeds are the basis of the agricultural food industry, greater insights into seed viability before sowing could improve storage management and field performance. In the present study, we aimed to address this issue by using highly cost-efficient near-infrared hyperspectral imaging (NIR-HSI) and a convolutional neural network (CNN) deep learning approach. An NIR-HSI camera was used because it can recognize both molecular vibration information (i.e. chemical component differences) and its spatial distribution in each seed sample; this camera is much more informative than a regular RGB digital camera. Using this technology, the emphasis of this study was firstly to provide a methodology for enhancing the interpretability of viable and non-viable seeds via principal component analysis (PCA) and support vector machine (SVM) viability classification analysis of NIR-HSI data. A CNN was then constructed to“cognize” the differences in viable and non-inviable seeds and classify them automatically. Experimental results indicate that the methodology produces a ~90% classification accuracy for both a five-fold cross-validation set and a test set of naturally aged Japanese mustard spinach seeds. Therefore, this study provides a new strategy for effective and practical seed viability prediction.

    DOI: 10.1016/j.compag.2020.105683

    Web of Science

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  37. Rapid and nondestructive evaluation of hygroscopic behavior changes of thermally modified softwood and hardwood samples using near-infrared hyperspectral imaging (NIR-HSI) 査読有り

    Holzforschung     2020年8月

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: https://doi.org/10.1515/hf-2019-0298

  38. Physical and Mechanical Properties of Fast Growing Polyploid Acacia Hybrids (<i>A. auriculiformis</i>x<i>A. mangium</i>) from Vietnam 査読有り

    Viet, DD; Ma, T; Inagaki, T; Kim, NT; Chi, NQ; Tsuchikawa, S

    FORESTS   11 巻 ( 7 )   2020年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Forests  

    Acacia plants are globally important resources in the wood industry, but particularly in Southeast Asian countries. In the present study, we compared the physical and mechanical properties of polyploid Acacia (3x and 4x) clones with those of diploid (2x) clones grown in Vietnam. We randomly selected 29 trees aged 3.8 years from different taxa for investigation. BV10 and BV16 clones represented the diploid controls; X101 and X102 were the triploid clones; and AA-4x, AM-4x, and AH-4x represented neo-tetraploid families of Acacia auriculiformis, Acacia mangium, and their hybrid clones. The following metrics were measured in each plant: stem height levels, basic density, air-dry equilibrium moisture content, modulus of rupture (MOR), modulus of elasticity (MOE), compression strength, and Young's modulus. We found that the equilibrium moisture content significantly differed among clones, and basic density varied from pith-to-bark and in an axial direction. In addition, the basic density of AA-4x was significantly higher than that of the control clones. Furthermore, the MOR of AM-4x was considerably lower than the control clones, whereas the MOE of X101 was significantly higher than the control values. The compression strength of AM-4x was significantly lower than that of the control clones, but AH-4x had a significantly higher Young's modulus. Our results suggest that polyploid Acacia hybrids have the potential to be alternative species for providing wood with improved properties to the forestry sector of Vietnam. Furthermore, the significant differences among the clones indicate that opportunities exist for selection and the improvement of wood quality via selective breeding for specific properties.

    DOI: 10.3390/f11070717

    Web of Science

    Scopus

  39. Rapidly visualizing the dynamic state of free, weakly, and strongly hydrogen-bonded water with lignocellulosic material during drying by near-infrared hyperspectral imaging 査読有り

    Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    Cellulose     2020年

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1007/s10570-020-03117-6

  40. Cognitive spectroscopy for wood species identification: near infrared hyperspectral imaging combined with convolutional neural networks 査読有り

    Kanayama, H; Ma, T; Tsuchikawa, S; Inagaki, T

    ANALYST   144 巻 ( 21 ) 頁: 6438 - 6446   2019年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Analyst  

    From the viewpoint of combating illegal logging and examining wood properties, there is a contemporary demand for a wood species identification system. Several nondestructive automatic identification systems have been developed, but there is room for improvement to construct a highly reliable model. The present study proposes cognitive spectroscopy that combines near infrared hyperspectral imaging (NIR-HSI) with a deep convolutional neural network approach. We defined "cognitive spectroscopy" as a protocol that extracts features from complex spectroscopic data and presents the best results without human intervention. Overall, 120 samples representing 38 hardwood species were scanned using an NIR-HSI camera. A deep learning prediction model was built based on the principal component (PC) images obtained from the PC scores of hyperspectral images (wavelength range: 1000-2200 nm at approximately 6.2 nm interval). The results showed that the accuracy of wood species identification based on 6PC (PC1-PC6) images was 90.5%, which was considerably higher than the accuracy of 56.0% obtained with conventional visible images.

    DOI: 10.1039/c9an01180c

    Web of Science

    Scopus

    PubMed

  41. Three-dimensional grain angle measurement of softwood (Hinoki cypress) using near infrared spatially and spectrally resolved imaging (NIR-SSRI) 査読有り

    Ma, T; Inagaki, T; Tsuchikawa, S

    HOLZFORSCHUNG   73 巻 ( 9 ) 頁: 817 - 826   2019年9月

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Holzforschung  

    As the strength of wood is greatly affected by its three-dimensional (3D) grain angles (the dive angle and the surface angle), the wood industry today requires automatic, rapid, and robust measurement techniques for measuring them simultaneously. In the present study, a near infrared spatially and spectrally resolved imaging (NIR-SSRI) system was designed in a line scan model, mainly including an NIR hyperspectral imaging camera and a halogen spotlight source (Ø 1 mm). Spatially resolved diffuse reflectance images at three target wavelengths (1002 nm, 1217 nm, and 1413 nm) were obtained from Hinoki cypress [Chamaecyparis obtusa (Siebold & Zucc.) Endl.] samples at various (0°, 3°, 6°, ⋯ 45°) dive angles and surface angles (0°, 3°, 6°, ⋯ 45°). The scattering patterns caused by the "tracheid effect" were almost elliptical. Subsequently, nonlinear least squares fitting was used to determine their eccentricities (e) and rotation angles (θ). The e values at each selected wavelength were highly correlated with the dive angle reference values; and the global identification model developed using Gaussian process regression (GPR) under five-fold cross-validation (CV) reached a determination coefficient (r2) of 0.98 with a root mean square error (RMSE) of 2.2°. On the other hand, local surface angle identification models developed using linear regression analysis achieved determination coefficients higher than 0.90 on r2 and an RMSE of CV lower than 3.8° when the dive angle was lower than 30°.

    DOI: 10.1515/hf-2018-0273

    Web of Science

    Scopus

  42. Non-destructive evaluation of wood stiffness and fiber coarseness, derived from SilviScan data, via near infrared hyperspectral imaging 査読有り

    Ma Te, Inagaki Tetsuya, Tsuchikawa Satoru

    JOURNAL OF NEAR INFRARED SPECTROSCOPY   26 巻 ( 6 ) 頁: 398 - 405   2018年12月

     詳細を見る

    記述言語:日本語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1177/0967033518808053

    Web of Science

  43. Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI) 査読有り

    Imran Arra'd Sofianto, Tetsuya Inagaki, Te Ma, Satoru Tsuchikawa

    Holzforschung     2018年9月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1515/hf-2018-0060

  44. Optical characteristics of Douglas fir at various densities, grain directions and thicknesses investigated by near-infrared spatially resolved spectroscopy (NIR-SRS) 査読有り

    Ma, T; Schajer, G; Inagaki, T; Pirouz, Z; Tsuchikawa, S

    HOLZFORSCHUNG   72 巻 ( 9 ) 頁: 789 - 796   2018年9月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Holzforschung  

    A near-infrared spatially resolved spectroscopy (NIR-SRS) system, also called the hyperspectral imaging system, was applied in a line scanning model combined with a concentrated halogen light source (Ø 1 mm), and spatially resolved reflectance images of Douglas fir [Pseudotsuga menziesii (Mirb.) Franco] wood were obtained. The samples with various densities, grain directions and thicknesses were observed in the NIR range of 1000-1600 nm. Then, a nonlinear curve-fitting algorithm was applied based on the steady-state diffusion theory model to estimate the absorption coefficient (μa), and reduced scattering coefficients (μ′s μ) both parallel and perpendicular to the grain direction at each measurement position. The absorption scattering coefficients at 1457 nm and two kinds of reduced scattering coefficients at 1002 nm were highly correlated with wood densities measured by an X-ray densitometer. The correlation coefficients were 0.953 and 0.987 for 3 mm and 5 mm samples, respectively, while three optical profiles were combined. It can be concluded that NIR-SRS is a fast and simple method for measuring the optical characteristics of softwood, although it has a non-homogeneous cellular structure. Sub-surface density and grain direction could be predicted with satisfactory accuracy based on a few key wavelengths without relying on multivariate statistical analysis.

    DOI: 10.1515/hf-2017-0213

    Web of Science

    Scopus

  45. Noncontact evaluation of soluble solids content in apples by near-infrared hyperspectral imaging 査読有り

    Ma, T; Li, XZ; Inagaki, T; Yang, HY; Tsuchikawa, S

    JOURNAL OF FOOD ENGINEERING   224 巻   頁: 53 - 61   2018年5月

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Food Engineering  

    Near-infrared (NIR) hyperspectral imaging was used to evaluate soluble solids content (SSC) in ‘Fuji’ apples [Malus sylvestris (L.) Mill. var. domestica (Borkh. Mansf.)]. Eighty ‘Fuji’ apples were analyzed by collecting four small block samples from each one (approximately 2.0 cm × 2.0 cm × 1.5 cm). Partial least squares (PLS) regression analysis was performed to determine the relation between SSC reference data and NIR spectral data measured from each sample. The cross-validation coefficient of determination (r2) between predicted and measured SSC values is 0.89 with a root mean squared error of cross-validation (RMSECV) of 0.55%. Then, we successfully mapped SSC at a high spatial resolution (375 μm per pixel). In addition, the absorption and reduced scattering coefficients of the measured samples were determined based on a diffusion theory model. The absorption coefficients are positively correlated to the SSC values (chemical information), whereas water cored tissue content (physical information) causes a characteristic change in light scattering coefficients. The fitting results were validated by Monte Carlo simulation, and the light penetration depth in ‘Fuji’ apples was estimated to be around 0.33 cm at 1198 nm and 0.17 cm at 1450 nm, respectively.

    DOI: 10.1016/j.jfoodeng.2017.12.028

    Web of Science

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  46. Effect of cellular structure on the optical properties of wood 査読有り

    Ban, M; Inagaki, T; Ma, T; Tsuchikawa, S

    JOURNAL OF NEAR INFRARED SPECTROSCOPY   26 巻 ( 1 ) 頁: 53 - 60   2018年2月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Near Infrared Spectroscopy  

    To construct robust calibrations of wood properties by near infrared spectroscopy, one must independently evaluate the spectral contributions of light absorption and light scattering. However, the light propagation in wooden cellular structures is difficult to interpret because these structures are complex, heterogeneous, and anisotropic. This study investigates the reduced scattering coefficients of softwood and hardwood (with ring-porous or diffuse-porous vessels) at 846 nm by time-resolved spectroscopy. It also evaluates the effect of wooden cellular structure and air-dry density on the light propagation. After determining the reduced scattering coefficients, we observed cross-sectional microscopic images of the wood samples. Eighty-five percent of the variation in the reduced scattering coefficients was explainable by the air-dry density, area ratio of the cell wall, and the median pore area. Monte Carlo simulations of the light propagation through wood revealed that most of the photon transport occurs in the cell-wall substance.

    DOI: 10.1177/0967033518757233

    Web of Science

    Scopus

  47. Near-infrared hyperspectral imaging for classification of mung bean seeds 査読有り

    Phuangsombut Kaewkarn, Ma Te, Inagaki Tetsuya, Tsuchikawa Satoru, Terdwongworakul Anupun

    INTERNATIONAL JOURNAL OF FOOD PROPERTIES   21 巻 ( 1 ) 頁: 799 - 807   2018年

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    記述言語:日本語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1080/10942912.2018.1476378

    Web of Science

  48. Rapid identification of wood species by near-infrared spatially resolved spectroscopy (NIR-SRS) based on hyperspectral imaging (HSI) 査読有り

    Te Ma, Tetsuya Inagaki, Mayuka Ban, Satoru Tsuchikawa

    Holzforschung     2018年

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1515/hf-2018-0128

  49. High-Resolution and Non-destructive Evaluation of the Spatial Distribution of Nitrate and Its Dynamics in Spinach (<i>Spinacia oleracea</i> L.) Leaves by Near-Infrared Hyperspectral Imaging 査読有り

    Yang, HY; Inagaki, T; Ma, T; Tsuchikawa, S

    FRONTIERS IN PLANT SCIENCE   8 巻   頁: 1937   2017年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Frontiers in Plant Science  

    Nitrate is an important component of the nitrogen cycle and is therefore present in all plants. However, excessive nitrogen fertilization results in a high nitrate content in vegetables, which is unhealthy for humans. Understanding the spatial distribution of nitrate in leaves is beneficial for improving nitrogen assimilation efficiency and reducing its content in vegetables. In this study, near-infrared (NIR) hyperspectral imaging was used for the non-destructive and effective evaluation of nitrate content in spinach (Spinacia oleracea L.) leaves. Leaf samples with different nitrate contents were collected under various fertilization conditions, and reference data were obtained using reflectometer apparatus RQflex 10. Partial least squares regression analysis revealed that there was a high correlation between the reference data and NIR spectra (r2 = 0.74, root mean squared error of cross-validation = 710.16 mg/kg). Furthermore, the nitrate content in spinach leaves was successfully mapped at a high spatial resolution, clearly displaying its distribution in the petiole, vein, and blade. Finally, the mapping results demonstrated dynamic changes in the nitrate content in intact leaf samples under different storage conditions, showing the value of this non-destructive tool for future analyses of the nitrate content in vegetables.

    DOI: 10.3389/fpls.2017.01937

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    PubMed

  50. Calibration of SilviScan data of <i>Cryptomeria japonica</i> wood concerning density and microfibril angles with NIR hyperspectral imaging with high spatial resolution 査読有り

    Ma, T; Inagaki, T; Tsuchikawa, S

    HOLZFORSCHUNG   71 巻 ( 4 ) 頁: 341 - 347   2017年4月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Holzforschung  

    Wood density and microfibril angle (MFA) are strongly correlated with wood stiffness, swelling/shrinkage, and its anisotropy. Understanding the spatial distribution of these data is critical for solid timber applications. In this study, near-infrared (NIR) hyperspectral imaging has been calibrated for evaluation of wood density and MFA in an effective manner. Briefly, five wood samples collected from both normal wood (NW) and compression wood (CW) moieties of two different Cryptomeria japonica trees were analyzed. Partial least squares (PLS) regression analysis was performed to determine the relationship between X-ray densitometry data obtained by SilviScan and NIR spectra, and cross-validation (leave-one-out) approach served for prediction performances. The validation coefficient of determination (r2) between the predicted densities by the NIR technique and the X-ray data was 0.83 with a root mean squared error of cross-validation (RMSECV) of 105.2 kg m-3. Regarding MFA, the r2 was 0.77 and RMSECV 5.36°. Wood density was successfully maped as well as the MFA at a high spatial resolution. As a result, the detection of annual growth ring features and evaluation of aspects of heterogeneous wood quality has been facilitated. The mapping results were visually checked by looking at the difference between earlywood (EW) and latewood (LW) for density and by means of the Mäule color reaction indicating high lignin contents in CW in terms of MFA validation as CWs have high MFA values.

    DOI: 10.1515/hf-2016-0153

    Web of Science

    Scopus

  51. High spatial resolution and non-destructive evaluation of wood density and microfibril angle by NIR hyperspectral imaging 査読有り

    Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    NIR news   28 巻 ( 5 ) 頁: 7-12   2017年

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

  52. Classification of mung bean seeds for sprout production using near-infrared spectroscopy and hyperspectral imaging 査読有り

    Kaewkarn Phuangsombu, Anupun Terdwongworakul, Nattaporn Suttiwijitpukdee, Arthit Phuangsombu, Satoru Tsuchikawa, Tetsuya Inagaki, Te Ma

    Thai Society of Agricultural Engineering Journal   23 巻 ( 1 ) 頁: 23-29   2017年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

  53. High spatial resolution and non-destructive evaluation of wood density and microfibril angle by NIR hyperspectral imaging 査読有り

    Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    NIR news   28 巻 ( 5 ) 頁: 7-12   2017年

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

  54. Non-destructive inspection of insects in chocolate using near infrared multispectral imaging 査読有り

    Ma, T; Kobori, H; Katayama, N; Tsuchikawa, S

    JOURNAL OF NEAR INFRARED SPECTROSCOPY   24 巻 ( 4 ) 頁: 391 - 397   2016年

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Near Infrared Spectroscopy  

    Foreign matters in food products strongly affect the commercial viability of food production companies. To monitor and improve the reliability of food production processes, fast and non-destructive online inspection methods are urgently required. In this study, we exploited the high transmittance of near infrared (NIR) light, and designed an NIR transmission-type imaging device that detects lowdensity foreign matters (such as insects) inside chocolate. Insect parts had consistently lower transmittance than chocolate parts. To enhance the important differences between the two parts, the images were processed using principal component analysis. Furthermore, an algorithm for detecting the insect parts was developed in conjunction with image threshold processing and Laplacian of Gaussian edge detection. A favourable detection rate (93%) was achieved using spectral regions 840-870 nm, 870-900 nm and 900-930 nm. The results suggested that NIR multispectral imaging is useful for detecting low-density matter (insects) in the chocolate manufacturing industry.

    DOI: 10.1255/jnirs.1237

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▼全件表示

書籍等出版物 5

  1. Wooden Material and Environmental Sciences

    Ma T., Tsuchikawa S., Inagaki T.( 担当: 単著)

    Near-Infrared Spectroscopy: Theory, Spectral Analysis, Instrumentation, and Applications  2020年11月  ( ISBN:9789811586477

     詳細を見る

    記述言語:日本語

    Near-infrared spectroscopy (NIRS) is suitable for both the qualification and quantification of organic properties associated with C-H, O-H, or N-H groups. There have been considerable efforts made toward proposing and developing various technologies and devices for the rapid and nondestructive measurement of various samples related to natural materials and environmental sciences. In this chapter, the utilizations of NIRS in the fields of wood material, soil, sediment, waste liquid, atmospheric gas detection, and archeological science will be explained through some representative studies.

    DOI: 10.1007/978-981-15-8648-4_16

    Scopus

  2. The Encyclopedia of Archaeological Sciences

    Satoru Tsuchikawa, Te Ma, Tetsuya Inagaki( 担当: 共著)

    John Wiley & Sons, Inc.  2018年  ( ISBN:9780470674611

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    記述言語:英語 著書種別:学術書

  3. 分光イメージング法による食品混入異物の検査

    土川 覚、馬 特、小堀 光、片山詔久( 担当: 共著)

    日本工業出版  2015年11月 

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    記述言語:日本語 著書種別:学術書

  4. 分光イメージング法を活用した食品混入異物の非破壊検査

    土川 覚, 馬 特, 小堀 光, 片山詔久( 担当: 共著)

    日本オプトメカトロニクス協会  2015年 

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    担当ページ:53(3)   記述言語:日本語 著書種別:学術書

  5. 分光画像解析による食品異物混入の非破壊検査-表面近傍の有機異物検出の可能性-

    土川 覚、馬 特、小堀 光、片山詔久( 担当: 共著)

    日本工業出版  2014年 

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    記述言語:日本語 著書種別:学術書

講演・口頭発表等 39

  1. 近赤外空間分解分光法を用いた木材品質の非破壊評価

    馬 特, Gary Schajer, 稲垣哲也, Zarin Pirouz, 土川 覚

    第68回日本木材大会 

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    開催年月日: 2018年3月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  2. Non-destructive evaluation of wood density and MFA in high-spatial resolution using NIR hyperspectral imaging 国際会議

    The 2017 IUFRO All-Division 5 Conference 

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    開催年月日: 2017年6月

    記述言語:英語   会議種別:口頭発表(一般)  

    国名:カナダ  

  3. Prediction of wood fibril angle and moisture content using optical scattering and absorption properties 国際会議

    Te Ma, Gary Schajer, Zarin Pirouz, Tetsuya Inagaki, Satoru Tsuchikawa

     詳細を見る

    開催年月日: 2017年6月

    記述言語:英語   会議種別:ポスター発表  

    国名:カナダ  

  4. 近赤外ハイパースペクトラルイメージング法を活用した木材品質の非破壊評価

    馬 特, 稲垣哲也, 土川 覚

    第67回日本木材大会 

     詳細を見る

    開催年月日: 2017年3月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  5. Non-destructive evaluation of wood density and MFA in high-spatial resolution using NIR hyperspectral imaging 国際会議

    Te Ma, Tetsueya Inagaki, Satoru Tsuchikawa

    The 5th Asian NIR Symposium 2016 

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    開催年月日: 2016年11月 - 2016年12月

    記述言語:英語   会議種別:ポスター発表  

    国名:日本国  

  6. 近赤外ハイパースペクトラルイメージング法を活用した木材品質の非破壊評価

    馬 特, 稲垣哲也, 土川 覚

    日本木材学会中部支部大会 

     詳細を見る

    開催年月日: 2016年10月

    記述言語:日本語   会議種別:口頭発表(一般)  

    国名:日本国  

  7. Non-destructive evaluation of wood density and MFA in high-spatial resolution using NIR hyperspectral imaging 国際会議

     詳細を見る

    開催年月日: 2016年7月 - 2016年8月

    記述言語:英語   会議種別:ポスター発表  

    国名:アメリカ合衆国  

  8. Nondestructive inspection of foreign matters in food products using near infrared imaging 国際会議

    International Diffuse Reflectance Conference (IDRC) 

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    開催年月日: 2016年7月 - 2016年8月

    記述言語:英語   会議種別:ポスター発表  

    国名:アメリカ合衆国  

  9. 基于近红外高光谱的木材品质检测研究 国際会議

    馬 特, 稲垣哲也, 土川 覚

    第六届近红外光谱学术会议 

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    開催年月日: 2016年3月

    記述言語:中国語   会議種別:口頭発表(一般)  

    国名:中華人民共和国  

  10. ハイパースペクトラルイメージング法による木材含水率分布の可視化

    馬 特, 稲垣哲也, 王 冠雄, 土川 覚

    第31回近赤外フォーラム 

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    開催年月日: 2015年11月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  11. Evaluation of Chemical Composition in Wood using NIR Hyperspectral Imaging

    第65回 日本木材学会 

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    開催年月日: 2015年3月

    記述言語:英語   会議種別:口頭発表(一般)  

    国名:日本国  

  12. 分光画像解析による食品混入異物の非破壊検査 ‐表面近傍の有機異物検出の可能性-

    馬 特, 小堀 光, 片山詔久, 土川 覚

    第30回近赤外フォーラム 

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    開催年月日: 2014年11月

    記述言語:日本語   会議種別:口頭発表(一般)  

    国名:日本国  

  13. ハイパースペクトラルイメージングによる木材化学成分の可視化

    馬 特, 稲垣哲也, 王 冠雄, 土川 覚

    日本木材加工技術協会 第32回年次大会 

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    開催年月日: 2014年10月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  14. Non-destructive inspection of foreign matters in food products using visible and near infrared (Vis-NIR) imaging method 国際会議

    Te Ma, Hikaru Kobori, Norihisa Katayama, Satoru Tsuchikawa

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    開催年月日: 2014年6月

    記述言語:英語   会議種別:ポスター発表  

    国名:大韓民国  

  15. 分光画像解析による食品混入異物の非破壊検査-表面近傍の有機異物検出の可能性-

    馬 特, 小堀 光, 片山詔久, 土川 覚

    第29回近赤外フォーラム 

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    開催年月日: 2013年11月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  16. 可視-近赤外画像計測による食品異物検査(Ⅱ) 透過法によるチョコレート内部の異物検出の可能性

    馬 特, 小堀 光, 片山詔久, 土川 覚

    第28回近赤外フォーラム 

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    開催年月日: 2013年3月

    記述言語:日本語   会議種別:ポスター発表  

    国名:日本国  

  17. ハイパースペクトラルイメージング法による木材含水率分布の可視化 国際会議

    馬 特, 稲垣哲也, 王 冠雄, 土川 覚

    第31回近赤外フォーラム  2015年11月 

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    記述言語:日本語   会議種別:ポスター発表  

  18. Prediction of wood fibril angle and moisture content using optical scattering and absorption properties

    Te Ma, Gary Schajer, Zarin Pirouz, Tetsuya Inagaki, Satoru Tsuchikawa

    The 2017 IUFRO All-Division 5 Conference  2017年6月 

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    記述言語:英語   会議種別:ポスター発表  

  19. Evaluation of Chemical Composition in Wood using NIR Hyperspectral Imaging 国際会議

    Te Ma, Tetsuya Inagaki, Guanxiong Wang, Satoru Tsuchikawa

    第65回 日本木材学会  2015年3月 

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    記述言語:英語   会議種別:口頭発表(一般)  

  20. Non-destructive evaluation of wood density and MFA in high-spatial resolution using NIR hyperspectral imaging

    Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    The 2017 IUFRO All-Division 5 Conference  2017年6月 

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    記述言語:英語   会議種別:口頭発表(一般)  

  21. 近赤外分光イメージング法を活用した生物素材の非破壊品質評価 招待有り 国際会議

    馬 特

    第34回近赤外フォーラム  2018年11月21日 

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    記述言語:日本語   会議種別:口頭発表(一般)  

  22. 基于近红外高光谱的木材品质检测研究

    馬 特, 稲垣哲也, 土川 覚

    第六届近红外光谱学术会议  2016年3月24日 

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    記述言語:中国語   会議種別:口頭発表(一般)  

  23. Optical characteristics of Douglas fir at various densities, grain directions, and thicknesses investigated by Near-Infrared Spatially Resolved Spectroscopy

    Te Ma, Gary Schajer, Zarin Pirouz, Tetsuya Inagaki, Satoru Tsuchikawa

    The Sixth Asian NIR Symposium  2018年6月21日 

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    記述言語:英語   会議種別:口頭発表(一般)  

  24. Nondestructive inspection of foreign matters in food products using near infrared imaging

    Te Ma, Hikaru Kobori, Norihisa Katayama, Satoru Tsuchikawa

    International Diffuse Reflectance Conference (IDRC)  2016年7月30日 

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    記述言語:英語   会議種別:ポスター発表  

  25. Non-destructive evaluation of wood density and MFA in high-spatial resolution using NIR hyperspectral imaging

    Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

    International Diffuse Reflectance Conference (IDRC)  2016年7月30日 

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    記述言語:英語   会議種別:ポスター発表  

  26. Non-destructive evaluation of wood density and MFA in high-spatial resolution using NIR hyperspectral imaging

    Te Ma, Tetsueya Inagaki, Satoru Tsuchikawa

    The 5th Asian NIR Symposium 2016  2016年11月30日 

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    記述言語:英語   会議種別:ポスター発表  

  27. 近赤外ハイパースペクトラルイメージング法を活用した木材品質の非破壊評価 国際会議

    馬 特, 稲垣哲也, 土川 覚

    日本木材学会中部支部大会  2016年10月27日 

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    記述言語:日本語   会議種別:口頭発表(一般)  

  28. 近赤外ハイパースペクトラルイメージング法を活用した木材品質の非破壊評価 国際会議

    馬 特, 稲垣哲也, 土川 覚

    第67回日本木材大会  2017年3月17日 

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    記述言語:日本語   会議種別:ポスター発表  

  29. 近赤外ハイパースペクトラルイメージング法による木材内部の水分移動モニタリングおよびモデリング

    馬 特, 森田 弦喜, 稲垣 哲也, 土川 覚

    第72回日本木材学会大会  2022年3月16日 

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    記述言語:英語   会議種別:口頭発表(一般)  

  30. 可視–近赤外空間分解分光法による木材の引張ひずみの測定

    馬 特, 梶村太楠, 稲垣哲也, 土川 覚

    第71回日本木材学会大会  2020年3月20日 

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    記述言語:英語   会議種別:口頭発表(一般)  

  31. 可視–近赤外空間分解分光法による成長応力解放ひずみの測定

    馬 特, 梶村 太楠, 稲垣 哲也, 土川 覚

    第73回日本木材学会大会  2023年3月14日 

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    記述言語:英語   会議種別:口頭発表(一般)  

  32. シングルピクセルイメージング法による木材含水率の可視化

    馬 特, 酒井 創平, 稲垣 哲也, 土川 覚

    第74回 日本木材学会大会  2024年3月20日 

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    記述言語:英語   会議種別:ポスター発表  

  33. Visualize and simulate the three-dimensional water distribution within softwood using near-infrared hyperspectral imaging coupled with a mass transfer simulation method

    Te Ma, Wenpeng Zeng, Satoru Tsuchikawa, Tetsuya Inagaki

    The 21th International Conference on NIR, 2023  2023年8月23日 

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    記述言語:英語   会議種別:口頭発表(一般)  

  34. Visualize and simulate the three-dimensional water distribution within softwood using near-infrared hyperspectral imaging coupled with a mass transfer simulation method

    Te Ma, Genki Morita, Tetsuya Inagaki, Satoru Tsuchikawa

    The 20th International Conference on NIR  2021年10月19日 

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    記述言語:英語   会議種別:口頭発表(一般)  

  35. Evaluation of visible and near-infrared spatially resolved spectroscopy for growth strain measurement

    Te Ma, Takusu Kajimura, Hiroyuki Yamamoto, Tetsuya Inagaki, Satoru Tsuchikawa

    The 25th International Wood Machining Seminar  2023年10月6日 

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    記述言語:英語   会議種別:ポスター発表  

  36. 近赤外分光イメージング法による木材中の自由水・結合水の分子ダイナミクスに関する研究

    馬 特, 稲垣哲也, 土川 覚

    第36回近赤外フォーラム  2020年11月25日 

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    記述言語:英語   会議種別:口頭発表(一般)  

  37. 近赤外空間分解分光法を用いた非破壊樹種判別

    馬 特,稲垣哲也, 土川 覚

    第69回日本木材学会大会  2019年3月14日 

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    記述言語:英語   会議種別:口頭発表(一般)  

  38. 近赤外空間分解分光法を用いた木材品質の非破壊評価 国際会議

    馬 特, Gary Schajer, 稲垣哲也, Zarin Pirouz, 土川 覚

    第68回日本木材大会  2018年3月14日 

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    記述言語:日本語   会議種別:ポスター発表  

  39. 近赤外空間分解分光法を用いた木材品質の非破壊評価 国際会議

    馬 特, 稲垣哲也, Gary Schajer, Zarin Pirouz, 土川 覚

    第33回近赤外フォーラム  2017年11月 

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    記述言語:日本語   会議種別:ポスター発表  

▼全件表示

共同研究・競争的資金等の研究課題 3

  1. 次世代近赤外シングルピクセルイメージング技術による食品中低密度有機異物の検出

    2024年10月 - 2026年9月

    2024年浦上財団研究助成  

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    担当区分:研究代表者 

  2. アバカから生まれるセルロースナノファイバー (CNF) フィルムとその非破壊品質検査技術の開発

    2024年10月 - 2026年9月

    フジシール財団 若手研究助成 

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    担当区分:研究代表者 

  3. 時間・空間分解分光法による青果物収穫後の品質変化の生理機構解明と非破壊品質評価技術の開発

    2022年12月 - 2024年11月

    ヒロセ財団 第9回研究助成  

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    担当区分:研究代表者 

科研費 4

  1. 木材乾燥過程における水分移動および割れ発生メカニズムの解明

    研究課題/研究課題番号:24K09016  2024年4月 - 2027年3月

    基盤研究(C) 

    馬 特

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    担当区分:研究代表者  資金種別:競争的資金

    配分額:4550000円 ( 直接経費:3500000円 、 間接経費:1050000円 )

    本研究では、①分光情報と空間情報を同時に獲得できる近赤外ハイパースペクトラルイメージング法を用いて、様々な乾燥条件下の木材内部の水分布を可視化し、非等温条件下における三次元乾燥モデルの構築を試みる。また、② デジタル画像相関法によって乾燥過程で木材に生じる残留応力の可視化を試み、乾燥応力の発生機構や割れなどの損傷との関連性を明らかにする。さらに、③木材試料の損傷をX線マイクロCT手法で観察し、有限要素法よる変形および割れの予測アルゴリズム開発を目指す。本研究により、含水率変化による材の割れ発生メカニズムの解明や、効率的かつ内部割れが生じない乾燥スケジュールの構築が期待される。

  2. スナップショット型近赤外ハイパースペクトラル画像による木材内水分動態モニタリング

    研究課題/研究課題番号:22H02405  2022年4月 - 2025年3月

    日本学術振興会  科学研究費補助金  科学研究費補助金

    土川 覚, 稲垣 哲也, 馬 特

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    担当区分:研究分担者 

  3. 木材乾燥過程における水分分布の可視化および AI・シミュレーション技術の開発

    研究課題/研究課題番号:22K14926  2022年4月 - 2024年3月

    科学研究費補助金  若手研究 

    馬 特

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    担当区分:研究代表者 

    配分額:4680000円 ( 直接経費:3600000円 、 間接経費:1080000円 )

    本研究では、分光情報と空間情報を同時に獲得できる近赤外ハイパースペクトラルイメージング法(NIR-HSI)を用いて、様々な乾燥条件下の木材内部の自由水・結合水分布を可視化することにより、熱および水分拡散係数から木材乾燥過程をモデル化する。さらに、乾燥応力によって生じた木材試料の変化を観察し、有限要素法および人工知能(AI)による変形および割れの予測アルゴリズム開発を目指す。
    初年度には、ヒノキを実験サンプルとして使用し、合計56個のサンプルを約30×30×30mmの大きさに分割した。サンプルの湿度を制御するために2つの乾燥器を用意した。乾燥器Aは、水によって約95%の高い相対湿度(RH)に調整、乾燥器Bは五酸化二リンによって約10%の低いRHに調整した。28個のサンプルを平衡水分含量に達するまで乾燥器Aに入れた。その後、木材サンプルを乾燥器Bに移し、定期的に取り出して下記の測定を行った。
    先ず、各サンプルをX線CTで木材の物理構造、内部の割れ、および密度データを取得し、3Dシミュレーション用モデルを構築した。その後、各木材試料を約5mmの間隔で切断しつつ、その断面を近赤外ハイパースペクトラルイメージング(NIR-HSI)カメラで撮影した。含水率(MC)の計算のため、撮影前後の重量および全乾燥重量を測定した。同じ測定は、乾燥器BからAの順にも行った。測定されたMCとNIRスペクトルの間のキャリブレーションモデルは、偏最小二乗(PLS)回帰分析に基づいて構築した。最後に、MCキャリブレーションモデルを分光画像に適用して、測定された木材サンプルの湿度の可視化を実現できた。
    本実験では、「NIR分光法の利点である非破壊測定」の視点を大きく変えて木材乾燥過程における材内の水の3次元空間分布をあえて破壊的な計測によって把握できた。さらに、NIR-HSIでの水の可視化結果に基づいて、水分分布の時間変化と表面温度による水分移動特性をパラメータ化し、非等温乾燥条件下で3次元シミュレーション乾燥過程のモデル化に成功した。さらなる実証実験により、NIR-HSI法が木材乾燥過程における水移動機構のモデル構築のための有力な分析ツールになることが期待できる。
    令和4年度の研究計画である「熱および水分拡散係数から木材乾燥過程のモデル化」を達成するため、木材人工乾燥の実験を繰り返した。近赤外ハイパースペクトラルイメージング法による観測深度は材表層の数mm程度であり、柱材などの材内の水分分布の観察には使えないという現実を直視し、非破壊測定に固執せず、木材試料を乾燥しながら一定の間隔で切断しつつ分光画像の撮影を連続的に行った。その結果、木材乾燥過程における材内の水の3次元空間分布を把握でき、水分分布の時間変化と表面温度による水分移動特性をパラメータ化し、非等温乾燥条件下で3次元シミュレーション乾燥過程のモデル化にも成功した。また、マイクロX線CT装置を活用し、材の変形計測を非接触かつ高い分解能で撮影できた。これにより、次年度の研究計画である「Al・シミュレーション法によるひずみ・割れ予測モデルの構築」のための準備ができたといえる。さらに、上記の研究成果を国学会と国際誌でも発表でき、研究は概ね順調に進展しているといえる。
    令和4年度の研究成果である「水の空間分布と材の変形情報」を元に、有限要素法、AI学習などを組み合わせて材の変形・割れの予測モデルの構築を試みる。また、新しい木材試料を準備し、乾燥応力が原因で実際に生じたひずみ・割れの状況との比較を行い、予測モデルの妥当性を担保する。その後、水分分布および乾燥温度のパラメータを変えながらシミュレーションを繰り返し、乾燥による木材割れの発生メカニズムの解明を図る。さらに、同じ樹種の木材試料をマイクロ波による乾燥や自然乾燥の実験も同時に進める。各乾燥条件での木材の破壊特徴を比較し、人工乾燥と自然乾燥のシミュレーションにおける最適なパラメータの設定の違いなどを検討する。一連の実験により、最適な乾燥スケジュールを自動提案する手法の確立を目指す。

  4. 近赤外空間分解分光法による木材の樹種判別および多形質の同時非破壊評価

    研究課題/研究課題番号:19K15886  2019年4月 - 2021年3月

    日本学術振興会  若手研究 

    馬 特

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    担当区分:研究代表者  資金種別:競争的資金

    本研究は、木材試料に照射した点光源の空間分布から多波長の吸収・散乱特性を高速、同時に取得する光学系を考案・設計した。これにより、複数樹種の非破壊判別モデルを作成でき、従来の分光法より予測精度の向上を実現できた。また、同じ空間分解分光法による木材引張ひずみの測定可能性も見出した。さらに、国際共同研究にもつなげて、本手法による果物の硬度を非破壊かつ高精度での測定可能性を見出した。これらの成果を国内学会(第71日本木材学会)で一度、2件国際ジャーナルへの論文投稿(Holzforschung, Postharvest Biology and Technology)を行った。

 

社会貢献活動 1

  1. 科学技術振興財団、日本・アジア青少年サイエンス交流事業、さくらサイエンスプラン ( 計12回 運営参加)

    役割:運営参加・支援

    2014年 - 2024年