现代食品科技2013，Vol.29Issue(2)：393-396,4.
小麦脂肪酸值的近红外光谱快速测定研究
Rapid Determination of Fatty Acid Content in Wheat by Near-Infrared Spectroscopy
摘要
Abstract
The mathematic models for the prediction of fatty acid content of wheat were established with the technique of near infrared spectroscopy (NIRS). The result showed lhat the coefficient of correlation (RSQ) was of 0.9026 and the standard error of calibration (SEC) of 3.8735. The determination coefficient of cross-validation (1-VR) was of 0.6278 and the standard error of cross-validation (SECV) was of 7.0980. Regression squared (r) was of 0.948 and square error of prediction (SEP) was of 3.8709. The t test value between the chemical standard methods and NIRS method was 1.345 suggesting no significant difference between these two methods. The absolute average deviation was 0.25. This NIRS method could be applied to predict the fatty acid content in wheat.关键词
小麦/脂肪酸值/近红外光谱Key words
wheat/ fatty acid/ near-infrared spectroscopy引用本文复制引用
王若兰,王春华,黄亚伟..小麦脂肪酸值的近红外光谱快速测定研究[J].现代食品科技,2013,29(2):393-396,4.基金项目
河南工业大学高层次人才基金,国家十二五科技计划课题(2012AA101705) （2012AA101705）
