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Development of Prediction Model by NIRS for Anthocyanin Contents in Black Colored Soybean  

Kim, Yong-Ho (Dept. of Biological Resources and Technology, Soonchunhyang Univ.)
Ahn, Hyung-Kyun (Dept. of Biological Resources and Technology, Soonchunhyang Univ.)
Lee, Eun-Seop (Gyeonggi-do Agricultural Research and Extension Services)
Kim, Hee-Dong (Gyeonggi-do Agricultural Research and Extension Services)
Publication Information
KOREAN JOURNAL OF CROP SCIENCE / v.53, no.1, 2008 , pp. 15-20 More about this Journal
Abstract
Near infrared reflectance spectroscopy (NIRS) is a rapid and accurate analytical method for determining the composition of agricultural products and feeds. This study was conducted to measure anthocyanin contents in black colored soybean by using NIRS system. Total 300 seed coat of black colored soybean samples previously analyzed by HPLC were scanned by NIRS and over 250 samples were selected for calibration and validation equation. A calibration equation calculated by MPLS(modified partial least squares) regression technique was developed in which the coefficient of determination for anthocyanin pigment C3G, D3G and Pt3G content was 0.952, 0.936, and 0.833, respectively. Each calibration equation was applied to validation set that was performed with the remaining samples not included in the calibration set, which showed high positive correlation both in C3G and D3G content file. In case Pt3G, the prediction model was needed more accuracy because of low $R^2$ value in validation set. This results demonstrate that the developed NIRS equation can be practically used as a rapid screening method for quantification of C3G and D3G contents in black colored soybean.
Keywords
NIRS; anthocyanin; soybean; HPLC; MPLS regression;
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