肉类研究2016，Vol.30Issue(4)：41-45,5.DOI:10.15922/j.cnki.rlyj.2016.04.009
应用近红外技术快速预判生猪血液指标及劣质肉
Fast Prediction of Pig Blood Parameters Using Near-Infrared Spectroscopy for Discrimination of Inferior Quality Pork
摘要
Abstract
In order to quickly discriminate pale, soft and exudative (PSE) pork and dark, ifrm, and dry (DFD) pork, 64 blood samples were collected at slaughter and tested by near-infrared (NIR) spectroscopy for the establishment of a predictive model for serum cortisol concentration, and 89 additional sample were collected and also detected by NIR spectroscopy for the development of a model to predict serum glucose concentration. Spectral information was acquired employing a portable NIR spectrometer and preprocessed using individual and combined algorithms for modeling using partial least square regression. Based on evaluation of the model parameters, the predictive model for serum glucose concentration developed by spectral pretreatment using Savitzky-Golay derivative + baseline correction had the best performance. The standard error of calibration and standard error of prediction of the model were 2.07 and 2.48, respectively and the number of principal components was 6. The correlation coefifcients of calibration and prediction sets were 0.88 and 0.85, respectively. The optimal spectral pretreatment method for predictive modeling of serum cortisol concentration was autoscaling + difference derivative + Savitzky-Golay smoothing + net analyte signal. The standard error of calibration and standard error of prediction of the predictive model for serum cortisol concentration were 0.05 and 0.15, respectively and the number of principal components was 6. The correlation coefifcients of calibration and prediction sets were 0.97 and 0.67, respectively. The built models were respectively used to predict serum glucose and cortisol concentrations of 25 unknown samples and consequently recognize PSE and DFD meat with an accuracy of 92% and 96%, respectively. Hence, it is feasible to predict serum glucose and cortisol concentrations of pig blood using NIR spectroscopy in order to identify PSE and DFD meat.关键词
猪/劣质肉/近红外技术/血液指标Key words
pig/inferior quality pork/near-infrared spectroscopy/blood parameters分类
化学化工引用本文复制引用
邹昊,田寒友,刘飞,王辉,李文采,李家鹏,陈文华,乔晓玲..应用近红外技术快速预判生猪血液指标及劣质肉[J].肉类研究,2016,30(4):41-45,5.基金项目
国家公益性行业（农业）科研专项 （）
