Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains
The chemical method for the determination of the resistant starch (RS) content in grains is time-consuming and labor intensive. Near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy are rapid and nondestructive analytical techniques for determining grain quality. T...
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2021-01-01
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Series: | Journal of Analytical Methods in Chemistry |
Online Access: | http://dx.doi.org/10.1155/2021/5599388 |
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author | Rong Wang Xia Wei Hongpan Wang Linshu Zhao Cengli Zeng Bingrui Wang Wenying Zhang Luxiang Liu Yanhao Xu |
author_facet | Rong Wang Xia Wei Hongpan Wang Linshu Zhao Cengli Zeng Bingrui Wang Wenying Zhang Luxiang Liu Yanhao Xu |
author_sort | Rong Wang |
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description | The chemical method for the determination of the resistant starch (RS) content in grains is time-consuming and labor intensive. Near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy are rapid and nondestructive analytical techniques for determining grain quality. This study was the first report to establish and compare these two spectroscopic techniques for determining the RS content in wheat grains. Calibration models with four preprocessing techniques based on the partial least squares (PLS) algorithm were built. In the NIR technique, the mean normalization + Savitzky–Golay smoothing (MN + SGS) preprocessing technique had a higher coefficient of determination (Rc2 = 0.672; Rp2 = 0.552) and a relative lower root mean square error value (RMSEC = 0.385; RMSEP = 0.459). In the ATR-MIR technique, the baseline preprocessing method exhibited a better performance regarding to the values of coefficient of determination (Rc2 = 0.927; Rp2 = 0.828) and mean square error value (RMSEC = 0.153; RMSEP = 0.284). The validation of the developed best NIR and ATR-MIR calibration models showed that the ATR-MIR best calibration model has a better RS prediction ability than the NIR best calibration model. Two high grain RS content wheat mutants were screened out by the ATR-MIR best calibration model from the wheat mutant library. There was no significant difference between the predicted values and chemical measured values in the two high RS content mutants. It proved that the ATR-MIR model can be a perfect substitute in RS measuring. All the results indicated that the ATR-MIR spectroscopy with improved screening efficiency can be used as a fast, rapid, and nondestructive method in high grain RS content wheat breeding. |
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language | English |
publishDate | 2021-01-01 |
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series | Journal of Analytical Methods in Chemistry |
spelling | doaj-art-41faf35543224e0cbb9fc2caf752f8712025-02-03T01:25:13ZengWileyJournal of Analytical Methods in Chemistry2090-88652090-88732021-01-01202110.1155/2021/55993885599388Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat GrainsRong Wang0Xia Wei1Hongpan Wang2Linshu Zhao3Cengli Zeng4Bingrui Wang5Wenying Zhang6Luxiang Liu7Yanhao Xu8Hubei Key Laboratory of Waterlogging Disaster and Agriculture Use of Wetland and Hubei Collaborative Innovation Centre for Grain Industry and Engineering Research Center of Ecology and Agriculture Use of Wetland, Ministry of Education, Yangtze University, Jingzhou, Hubei 434025, ChinaHubei Key Laboratory of Waterlogging Disaster and Agriculture Use of Wetland and Hubei Collaborative Innovation Centre for Grain Industry and Engineering Research Center of Ecology and Agriculture Use of Wetland, Ministry of Education, Yangtze University, Jingzhou, Hubei 434025, ChinaHubei Key Laboratory of Waterlogging Disaster and Agriculture Use of Wetland and Hubei Collaborative Innovation Centre for Grain Industry and Engineering Research Center of Ecology and Agriculture Use of Wetland, Ministry of Education, Yangtze University, Jingzhou, Hubei 434025, ChinaInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaHubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, Jianghan University, Wuhan 430056, ChinaCollege of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430064, ChinaHubei Key Laboratory of Waterlogging Disaster and Agriculture Use of Wetland and Hubei Collaborative Innovation Centre for Grain Industry and Engineering Research Center of Ecology and Agriculture Use of Wetland, Ministry of Education, Yangtze University, Jingzhou, Hubei 434025, ChinaInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaHubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences, Wuhan 430064, ChinaThe chemical method for the determination of the resistant starch (RS) content in grains is time-consuming and labor intensive. Near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy are rapid and nondestructive analytical techniques for determining grain quality. This study was the first report to establish and compare these two spectroscopic techniques for determining the RS content in wheat grains. Calibration models with four preprocessing techniques based on the partial least squares (PLS) algorithm were built. In the NIR technique, the mean normalization + Savitzky–Golay smoothing (MN + SGS) preprocessing technique had a higher coefficient of determination (Rc2 = 0.672; Rp2 = 0.552) and a relative lower root mean square error value (RMSEC = 0.385; RMSEP = 0.459). In the ATR-MIR technique, the baseline preprocessing method exhibited a better performance regarding to the values of coefficient of determination (Rc2 = 0.927; Rp2 = 0.828) and mean square error value (RMSEC = 0.153; RMSEP = 0.284). The validation of the developed best NIR and ATR-MIR calibration models showed that the ATR-MIR best calibration model has a better RS prediction ability than the NIR best calibration model. Two high grain RS content wheat mutants were screened out by the ATR-MIR best calibration model from the wheat mutant library. There was no significant difference between the predicted values and chemical measured values in the two high RS content mutants. It proved that the ATR-MIR model can be a perfect substitute in RS measuring. All the results indicated that the ATR-MIR spectroscopy with improved screening efficiency can be used as a fast, rapid, and nondestructive method in high grain RS content wheat breeding.http://dx.doi.org/10.1155/2021/5599388 |
spellingShingle | Rong Wang Xia Wei Hongpan Wang Linshu Zhao Cengli Zeng Bingrui Wang Wenying Zhang Luxiang Liu Yanhao Xu Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains Journal of Analytical Methods in Chemistry |
title | Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains |
title_full | Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains |
title_fullStr | Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains |
title_full_unstemmed | Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains |
title_short | Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains |
title_sort | development of attenuated total reflectance mid infrared atr mir and near infrared nir spectroscopy for the determination of resistant starch content in wheat grains |
url | http://dx.doi.org/10.1155/2021/5599388 |
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