中国食品学报2013，Vol.13Issue(6)：209-214,6.
近红外光谱结合偏最小二乘法快速检测大黄鱼新鲜度
Rapid Assessment of the Freshness of Large Yellow Croaker by Near Infrared Spectroscopy Combined with PLS Methods
摘要
Abstract
Near infrared spectroscopy technique combined with chemometrics methods was applied to predict K value of large yellow croaker (Pseudosciaena crocea).The raw spectra of large yellow croaker was preprocessed by multiplicative scatter correction(MSC),synergy interval partial least squares(siPLS) algorithm was used to optimize the modeling ranges and established better predictive model.And then that model was compared with the models established by classical partial least squares (PLS) and interval PLS (iPLS) algorithm.The results showed that the siPLS model was the best,the optimal model was obtained by separating the whole spectra into 16 sub-intervals and combined two sub-range (2,3),the RMSECV and RMSEP were 3.63 and 3.49,calibration and prediction correlation coefficient of 0.98059 and 0.91287.This study demonstrated that synergy interval partial least squares (siPLS) algorithm could effectively reduced variable number,rapidly predict K value in large yellow croaker.关键词
近红外光谱/联合区间偏最小二乘法/大黄鱼/K值Key words
Near infrared spectroscopy/ synergy interval partial least squares/ large yellow croaker/ K value引用本文复制引用
励建荣,王丽,张晓敏,李洪军..近红外光谱结合偏最小二乘法快速检测大黄鱼新鲜度[J].中国食品学报,2013,13(6):209-214,6.基金项目
国家自然科学基金项目(31071514,30800916) （31071514,30800916）
国家"十二五"支撑计划项目(2012BAD29B06) （2012BAD29B06）
