Abstract：The aim of the present study was to investigate application of Fourier transform near-infrared（FT-NIR） spectroscopy to rapidly determine the acid value（AV） and peroxide value（PV） of Chinese bacon.Samples were crushed,mixed evenly and then scanned on an Antaris Ⅱ FT-NIR analyzer.The IR spectra were correlated with the AV and PV values obtained by the national standard methods.Based on FT-NIR spectra,a mathematical predictive model was established and validated for AV and PV values,respectively,by means of partial least squares（PLS） regression.The coefficients of determination of calibration（R2cal） and cross validation（R2cv） for AV were 0.99582 and 0.98687,respectively,and the root mean square errors of estimation（RSMEE） and cross validation（RSMSECV） were 0.1370 and 0.1900,respectively.For PV,the R2cal and R2cv were 0.99999 and 0.99926,respectively,and the RSMEE and RSMSECV were 0.756 × 10-4 and 0.684 × 10-3,respectively.The models were used to verify samples and the statistical results showed that there was no significant difference between the predictive and chemical values.Thus,FT-NIR spectroscopy is applicable for rapid detection of AV and PV in Chinese bacon.
2012, Vol. 26 
