Soybean polypeptide content detection based on fusion of spectral and image information

References

• Shang, Y.F. The Future Development Direction of Green Building Energy-saving New Materials. Sichuan Cement 2021, 301(9), 63–64.
   Google Scholar
• Cheng, H.N.; Wyckoff, W.; Dowd, M.K.; He, Z. Evaluation of Adhesion Properties of Blends of Cottonseed Protein and Anionic Water-soluble Polymers. Journal of Adhesion Science and Technology Taylor Technology 2019, 33(1), 66–78. DOI: 10.1080/01694243.2018.1495404.
   Web of Science ®Google Scholar
• Gao, C.X.; Wang, F.Z.; Yuan, L. Summary of Changes of Bioactive Substances, Anti-nutritional Factors and Antioxidant Activity of Soybean During Germination. Journal of Nuclear Agricultural Sciences 2021, 33(05), 962–968. DOI: 10.11869/j.issn.100-8551.2019.05.0962.
   Google Scholar
• Wang, W.; Liu, Z.; Liu, Y.; Su, Z.; Liu, Y. Plant Polypeptides: A Review on Extraction, Isolation, Bioactivities and Prospects. International Journal of Biological Macromolecules 2022, 207, 169–178. DOI: 10.1016/j.ijbiomac.2022.03.009.
   PubMed Web of Science ®Google Scholar
• Sharma, A.; Singh, S. B.; Panjwani, U.; Yadav, D. K.; Amitabh, K.; Singh, S.; Selvamurthy, W. Effect of a Carbohydrate Supplement on Feeding Behaviour and Exercise in Rats Exposed to Hypobaric Hypoxia. Appetite Elsevier 2002, 39(2), 127–135. DOI: 10.1006/appe.2002.0497.
   PubMed Web of Science ®Google Scholar
• Fei, Y.J.; Kanai, Y.; Nussberger, S.; Ganapathy, V.; Leibach, F.H.; Romero, M.F.; Singh, S.K.; Boron, W.F.; Hediger, M.A. Expression Cloning of a Mammalian Proton-coupled Oligopeptide Transporter. Nature 1994, 368(6471), 563–566. DOI: 10.1038/368563a0.
   PubMed Web of Science ®Google Scholar
• Ishihara, K. Effect of Soybean Peptide on Suppression of Body Fat Accumulation during Endurance Swimming in Mice. Nutritional Science Soy Protein 1996, 17, 94–97. DOI: 10.5555/19971408560.
   Google Scholar
• Singh, B.P.; Vij, S.; Hati, S. Functional Significance of Bioactive Peptides Derived from Soybean. Peptides Elsevier 2014, 54, 171–179. DOI: 10.1016/j.peptides.2014.01.022.
   PubMed Web of Science ®Google Scholar
• Otani, H. Antigenically Reactive Regions of Bovine Milk Proteins. Japan Agricultural Research Quarterly 1987, 21, 135–142. DOI: 10.2508/chikusan.58.907.
   Google Scholar
• Liu, J.; Gao, Y.H. Study on Enzymatic Hydrolysis into Low Molecular Weight Polypeptides with Microwave Heating. Advanced Materials Research 2012, 550–553, 1607–1610. DOI: 10.4028/www.scientific.net/AMR.550-553.1607.
   Google Scholar
• Hu, X.; Zhang, Q.; Zhang, Q.; Ding, J.; Liu, Y.; Qin, W. An Updated Review of Functional Properties, Debittering Methods, and Applications of Soybean Functional Peptides. Critical Reviews in Food Science and Nutrition 2023, 63(27), 8823–8838. DOI: 10.1080/10408398.2022.2062587.
   PubMed Web of Science ®Google Scholar
• Wan, X.; Liu, H.; Sun, Y.; Zhang, J.; Chen, X.; Chen, N. Lunasin: A Promis-ing Polypeptide for the Prevention and Treatment of Cancer. Oncology Letters 2017, 13(6), 3997–4001. DOI: 10.3892/ol.2017.6017.
   PubMed Web of Science ®Google Scholar
• Ma, X.Y.; Wang, Y.H. Study on Factors Affecting the Accuracy of Chemical Analysis Results. China Petroleum and Chemical Standards and Quality 2023, 43(09), 49–51.
   Google Scholar
• Aulia, R.; Kim, Y.; Amanah, H.Z.; Andi, A.M.A.; Kim, H.; Kim, H.; Lee, W.H.; Kim, K.H.; Baek, J.; Cho, B.K. Non-destructive Prediction of Protein Contents of Soybean Seeds Using Near-infrared Hyper-spectral Imaging. Infrared Physics & Technology Elsevier 2022, 127, 104365. DOI: 10.1016/j.infrared.2022.104365.
   Web of Science ®Google Scholar
• Guo, Z.; Zhang, J.; Ma, C.; Yin, X.; Guo, Y.; Sun, X.; Xia, S.; Jin, C.Q. Application of Visible-near-infrared Hyperspectral Imaging Technology Coupled with Wavelength Selection Algorithm for Rapid Determination of Moisture Content of Soybean Seeds. Journal of Food Composition and Analysis Elsevier 2023, 116, 105048. DOI: 10.1016/j.jfca.2022.105048.
   Web of Science ®Google Scholar
• Song, Y.; Cao, S.; Chu, X.; Zhou, Y.; Xu, Y.; Sun, T.; Zhou, G.X.; Liu, X.Q. Non-destructive Detection of Moisture and Fatty Acid Content in Rice Using Hyperspectral Imaging and Chemometrics. Journal of Food Composition and Analysis Elsevier 2023, 121, 105397. DOI: 10.1016/j.jfca.2023.105397.
   Web of Science ®Google Scholar
• Berhow, M.A.; Singh, M.; Bowman, M.J.; Price, N.P.; Vaughn, S.F.; Liu, S.X. Quantitative NIR Determination of Isoflavone and Saponin Content of Ground Soybeans. Food Chemistry 2020, 317, 126373. DOI: 10.1016/j.foodchem.2020.126373.
   PubMed Web of Science ®Google Scholar
• Gao, S.; Xu, J. Hyperspectral Image Information Fusion-based Detection of Soluble Solids Content in Red Globe Grapes. Computers and Electronics in Agriculture Elsevier 2022, 196, 106822. DOI: 10.1016/j.compag.2022.106822.
   Web of Science ®Google Scholar
• Xu, S.; Xu, X.; Blacker, C.; Gaulton, R.; Zhu, Q.; Yang, M.; Yang, G.; Zhang, J.; Yang, Y.; Yang, M.; et al. Estimation of Leaf Nitrogen Content in Rice Using Vegetation Indices and Feature Variable Optimiza-tion with Information Fusion of Multiple-Sensor Images from UAV. Remote Sensing MDI 2023, 15(3), 854. DOI: 10.3390/rs15030854.
   Web of Science ®Google Scholar
• Fu, D.; Zhou, J.; Scaboo, A.M.; Niu, X. Nondestructive Phenotyping Fatty Acid Trait of Single Soybean Seeds Using Reflective Hyperspectral Imagery. Journal of Food Process Engineering 2021, 44(8), e13759. DOI: 10.1111/jfpe.13759.
   Web of Science ®Google Scholar
• Kukunin, S. The Application of Morphological Algorithms for the Restoration and Segmentation of Graphic Data for the Machine Vision System. Global Prosperity 2023, 3(1), 49–56. URL: https://orcid.org/0000-0001-5243-495X
   Google Scholar
• Xie, J.; Pan, T.; Chen, J.; Chen, H.; Ren, X. Joint Optimization of Savitz-ky-Golay Smoothing Models and Partial Least Squares Factors for Near-infrared Spectroscopic Analysis of Serum Glucose. Chinese Journal of Analytical Chemistry (Chinese Version) 2010, 38(3), 342–346. DOI: 10.3724/SP.J.1096.2010.00342.
   Google Scholar
• Yang, J.; Wang, J.; Lu, G.; Fei, S.; Yan, T.; Zhang, C.; Lu, X.; Yu, Z.; Li, W.; Tang, X. TeaNet: Deep Learning on Near-Infrared Spectroscopy (NIR) Data for the Assurance of Tea Quality. Computers and Electronics in Agriculture Elsevier 2021, 190, 106431. DOI: 10.1016/j.compag.2021.106431.
   Web of Science ®Google Scholar
• Barnes, R.J.; Dhanoa, M.S.; Lister, S.J. Standard Normal Variate Transformation and De-trending of Near-infrared Diffuse Reflectance Spectra. Applied Spectroscopy 1989, 43(5), 772–777. DOI: 10.1366/0003702894202201.
   Web of Science ®Google Scholar
• An, C.; Yan, X.; Lu, C.; Zhu, X. Effect of Spectral Pretreatment on Qualitative Identification of Adulterated Bovine Colostrum by Near-infrared Spectroscopy. Infrared Physics & Technology Elsevier 2021, 118, 103869. DOI: 10.1016/j.infrared.2021.103869.
   Web of Science ®Google Scholar
• Wang, D.M.; Ji, J.M.; Gao, H.Z. The Effect of MSC Spectral Pretreatment Regions on Near Infrared Spectroscopy Calibration Results. Spectroscopy and Spectral Analysis 2014, 34(9), 2387–2390. https://europepmc.org/article/med/25532331.
   Web of Science ®Google Scholar
• Roy, S.; Anantheswaran, R.C.; Shenk, J.S.; Westerhaus, M.O.; Beelman, R.B. Determination of moisture content of mushrooms by Vis-NIR spectroscopy. Journal of the Science of Food and Agriculture 1993, 63(3), 355–360. DOI: 10.1002/jsfa.2740630314.
   Web of Science ®Google Scholar
• Yang, P. P.; Zeng, Z. D.; Hou, Y.; Chen, A. M.; Xu, J.; Zhao, L. Q.; Liu, X. Y. Rapid Authentication of Variants of Gastrodia elata Blume Using Near-infrared Spectroscopy Combined with Chemo-metric Methods. Journal of Pharmaceutical and Biomedical Analysis 2023, 235, 115592. DOI: 10.1016/j.jpba.2023.115592.
   PubMed Web of Science ®Google Scholar
• Miao, X.; Miao, Y.; Liu, Y.; Tao, S.; Zheng, H.; Wang, J.; Wang, W.X.; Tang, Q.Y. Measurement of Nitrogen Content in Rice Plant Using Near Infrared Spectroscopy Combined with Different PLS Algorithms. Spectrochimica Acta Part A, Molecular and Biomolecular Spectroscopy 2023, 284, 121733. DOI: 10.1016/j.saa.2022.121733.
   PubMed Web of Science ®Google Scholar
• Xu, Y.; Zhang, H.; Zhang, C.; Wu, P.; Li, J.; Xia, Y.; Fan, S.X. Rapid Prediction and Visualization of Moisture Content in Single Cucumber (Cucumis sativus L.) Seed Using Hyperspectral Imaging Technology. Infrared Physics & Technology Elsevier 2019, 102, 103034. DOI: 10.1016/j.infrared.2019.103034.
   Web of Science ®Google Scholar
• Wang, W.; Yang, W.; Zhou, P.; Cui, Y.; Wang, D.; Li, M. Development and Performance Test of a Vehicle-mounted Total Nitrogen Content Prediction System Based on the Fusion of Near-infrared Spectroscopy and Image Information. Computers and Electronics in Agriculture Elsevier 2022, 192, 106613. DOI: 10.1016/j.compag.2021.106613.
   Web of Science ®Google Scholar
• Galvão, R. K. H.; Araujo, M. C. U.; José, G. E.; Pontes, M. J. C.; Silva, E. C.; Saldanha, T. C. B. A Method for Calibration and Validation Subset Partitioning. Talanta Elsevier 2005, 67(4), 736–740. DOI: 10.1016/j.talanta.2005.03.025.
   PubMed Web of Science ®Google Scholar