Meat and meat products are important components of the human food chain.Their quality is an important issue to con-sumers,government agencies and retailers.In China,the research and application of rapid and reliable methods for on-line detec-tion of meat quality is still in badly need.Near infrared spectroscopy (NIRS)is an attractive technique for such applications, since it is fast,non-destructive method which requires small samples with a high-penetration radiation beam and free from further preparation of the samples is needed.Therefore,in this study,the overall objective was to investigate the use of a NIR hyper-spectral imaging technique for accurate,fast and objective detection of fat content in various meat,and to compare with tradition-al standard chemical results.With near infrared scanning technology to pork,beef,mutton,and the national standard method (soxhlet extraction method)to determination of chemical values of fresh meat fat,with PLS (partial least squares)as a modeling method,and through the different spectral preprocessing methods respectively established the pigs,beef and mutton samples of near infrared spectrum parameters and the corresponding relationship between the fat content of model.Results show that for pork,select band 4260～6014 cm-1 +a derivative+Norris derivative model built by the best effect,the correction coefficient of correlation and prediction correlation coefficient of 0.9556 and 0.9616 respectively;For beef,choose 5226～7343 cm-1 band+a derivative+S-G model built by the best effect,the correction coefficient of correlation and prediction correlation coefficient of 0.9235 and 0.9427 respectively;For mutton,select band 5207～7362 cm-1 +a derivative + Norris derivative model built by the best effect,the correction coefficient of correlation and prediction correlation coefficient of 0.9157 and 0.9396 respectively;For fresh meat,choose select band of 5156～6065 cm-1 +second derivative+S-G model built by the best effect,the correction coefficient of correlation and prediction correlation coefficient were 0.9163 and 0.9194,above all model correction of the corre-lation coefficient is greater than 0.91.Thus,the model has higher precision,meeting the needs of different meat products in the actual production.It is a nondestructive method with advantages such as fast analysis speed,low cost and high resolution.
Near infrared spectroscopyFatPLSOn-line inspection
NETL
NSTL
维普
万方数据
