食品工业科技2013，Vol.34Issue(3)：302-305,4.
两种近红外光谱分辨率预测牛肉营养成分的比较研究
Comparative study on the prediction of beef nutrients by near infrared spectroscopy under two resolutions
摘要
Abstract
The protein,fat and moisture of the beef samples under two resolutions were analyzed using near infrared spectroscopy.The samples were obtained from 14 parts of 16 Simmental crossbred cattle. After 48h postmortem aging .these samples would be homogenized and scanned. Immediately after scanning under 1.6 and 10.0nm by near infrared spectroscopy(NIR) ,the samples were analyzed for protein,fat and moisture.The models were set up by partial least squares regression(PLSR) using the Unscrambler software.The results of nutrient contents tested by cross-validation under two resolutions of 1.6 and 10.0nm showed R of 0.94 and 0.93, RMSECV of 0.49 and 0.54 (protein) ;R of 0.93 and 0.92, RMSECV of 0.64 and 0.76(fat);R of 0.87 and 0.81, RMSECV of 1.18 and 1.26 (moisture),respectively.The above research results demonstrated that for the models of protein,fat and moisture, the higher resolution provide slightly better results than the lower resolution.关键词
近红外光谱/预测/蛋白质/脂肪/水分Key words
near infrared spectroscopy/prediction/protein/fat/moisture分类
轻工纺织引用本文复制引用
刘晓晔,汤晓艳,孙宝忠,王敏,毛雪飞,吴伟..两种近红外光谱分辨率预测牛肉营养成分的比较研究[J].食品工业科技,2013,34(3):302-305,4.基金项目
国家公益性(农业)行业科技专项(201303083,200903012) （农业）
国际科技合作专项(2012DFA31140) （2012DFA31140）
农业部"948"重点项目(2011-G5). （2011-G5）
