Effects of Spectral Pretreatments on Prediction of Total Volatile Basic Nitrogen (TVB-N) Content in Mutton Using Near Infrared Spectroscopy

doi:10.7506/spkx1002-6630-201622027

Abstract

Abstract: This study aimed at in situ, rapid and nondestructive detection of total volatile basic nitrogen (TVB-N) content in fresh raw mutton using near infrared spectroscopy. We checked whether the impact of portable near infrared spectrometer and microstructure of samples on the spectral information of the samples could be reduced or even eliminated by adjusting algorithm parameters and combing different algorithms for the purpose of improving the accuracy and robustness of the prediction model developed. Various individual algorithms with different parameter combinations and various algorithm combinations were used to pretreat the spectral information of the samples for modeling. The effects of algorithm parameters and algorithm combinations on the performance of the model in terms of predictive accuracy and stability were evaluated and discussed to find the optimal pretreatment method. The results showed that different algorithm parameter combinations and different algorithm combinations distinctly affected the model performance. When the spectral information of the sample was pretreated with difference derivatives (window parameter is 6, and order of differentiation is 1), the best model performance was achieved. The standard error of calibration (SEC) and standard error of prediction (SEP) of the model were 1.21 and 1.31, respectively, with SEP/SEC = 1.08 < 1.2. The number of principal components was 10. The correlation coefficients of calibration and prediction were 0.94 and 0.92, respectively. Our study verified that spectral information pretreatment with proper algorithm parameter combination and algorithm combination can significantly improve the model performance and allow fast, non-destructive and on-the-spot detection of TVB-N in mutton.

Key words: near infrared spectroscopy, pretreatment, fresh raw mutton, TVB-N, portable near infrared spectrometer

CLC Number:

O657.33

ZOU Hao,TIAN Hanyou,LIU Fei,LI Wencai, WANG Hui,LI Jiapeng,CHEN Wenhua,DI Yanquan, QIAO Xiaoling. Effects of Spectral Pretreatments on Prediction of Total Volatile Basic Nitrogen (TVB-N) Content in Mutton Using Near Infrared Spectroscopy[J]. FOOD SCIENCE, 2016, 37(22): 180-186.

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