Non-destructive determination of chemical and microbial spoilage indicators of beef for freshness evaluation using front-face synchronous fluorescence spectroscopy
文献类型： 外文期刊
作者： Liu, Huan 1 ; Ji, Zengtao 1 ; Liu, Xinliang 3 ; Shi, Ce 1 ; Yang, Xinting 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
3.Beijing Technol & Business Univ, Beijing Key Lab Big Data Technol Food Safety, Beijing 100048, Peoples R China
4.Natl Engn Lab Agriprod Qual Traceabil, Beijing 100097, Peoples R China
关键词： Front-face synchronous fluorescence; spectroscopy; Beef; Conjugated Schiff bases; Freshness indicators; Classification
期刊名称：FOOD CHEMISTRY （ 影响因子：7.514； 五年影响因子：7.516 ）
ISSN： 0308-8146
年卷期： 2020 年 321 卷
页码：
收录情况： SCI
摘要： We investigated the potential of front-face synchronous fluorescence spectroscopy (Delta lambda = 75 nm) to non-destructively evaluate beef freshness and quality decline during chilled storage. The total volatile basic nitrogen (TVB-N), thiobarbituric acid reactive substances (TBARS) and total viable count (TVC) values were used as standard freshness indicators. The fluorescent substances, including amino acids, collagen and conjugated Schiff bases, were highly correlated with the chemical and microbial deterioration of the beef. Quantitative models for simultaneously predicting the three freshness indicators were built combined with partial least squares (PLS) algorithm and showed good reliability. For TVB-N and TBARS values, R-c(2) and R-p(2) were both above 0.900, and for TVC values R-c(2) and R-p(2) were 0.912 and 0.871, respectively. The qualitative model established by partial least squares discriminant analysis (PLS-DA) algorithm could accurately classify beef samples as fresh, acceptable or spoiled. The accuracy of the calibration and validation sets were 92.54% and 86.96%, respectively.
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