Determination of Protein, Fat, Starch, and Amino Acids in Foxtail Millet [Setaria italica (L.) Beauv.] by Fourier Transform Near-Infrared Reflectance Spectroscopy

作者:Yang, Xiu-Shi; Wang, Li-Li; Zhou, Xian-Rong; Shuang, Shao-Min; Zhu, Zhi-Hua; Li, Nan; Li, Yan; Liu, Fang; Liu, San-Cai; Lu, Ping; Ren, Gui-Xing*; Dong, Chuan
来源:Food Science and Biotechnology, 2013, 22(6): 1495-1500.
DOI:10.1007/s10068-013-0243-1

摘要

Quantitative detection of protein, fat, starch, and amino acids in foxtail millet using Fourier transform near-infrared spectroscopy (NIRS) was investigated. Foxtail millet samples (n=259) were analyzed using NIRS. Spectral data were linearized with data from chemical analyses. Calibration models were established using a partial least-squares (PLS) algorithm with cross-validation. Optimized models were tested using external validation set samples with coefficients of determination in the external validation (R-val(2) of >0.90. Residual predictive deviation (RPD) values were nearly equal to or >2.5 for crude protein, alanine, aspartic acid, glutamic acid, isoleucine, leucine, and serine. However, for glycine, histidine, phenylalanine, proline, threonine, tyrosine, and valine, the R-val(2) values were >0.83 and RPD values were nearly equal to or >2.0. For crude fat, total starch, arginine, and lysine, the R-val(2) values were >0.70 and RPD values were >1.5. NIRS is a rapid determination tool for foxtail millet breeding, and for quality control.

  • 出版日期2013-12
  • 单位中国农业科学院; 山西大学