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RhB@MOF-5 Composite Film as a Fluorescence Sensor for Detection of Chilled Pork Freshness

文献类型： 外文期刊

作者： Li, Jingyi 1 ; Zhang, Ning 5 ; Yang, Xin 1 ; Yang, Xinting 2 ; Wang, Zengli 1 ; Liu, Huan 2 ;

作者机构： 1.China Agr Univ, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Res Ctr Informat Technol, Beijing 100097, Peoples R China

3.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

4.Natl Engn Lab Agriprod Qual Traceabil, Beijing 100097, Peoples R China

5.Beijing Technol & Business Univ BTBU, Beijing Key Lab Flavor Chem, Beijing 100048, Peoples R China

关键词： metal-organic frameworks; rhodamine B; volatile compounds; fluorescence sensing; chilled pork; freshness

期刊名称：BIOSENSORS-BASEL （ 影响因子：5.743； 五年影响因子：5.972 ）

ISSN：

年卷期： 2022 年 12 卷 7 期

页码：

收录情况： SCI

摘要： This study presents a novel composite thin film based on rhodamine B encapsulated into MOF-5 (Metal Organic Frameworks) as a fluorescence sensor for the real-time detection of the freshness of chilled pork. The composite film can adsorb and respond to the volatile amines produced by the quality deterioration of pork during storage at 4 degrees C, with the fluorescence intensity of RhB decreasing over time. The quantitative model used for predicting the freshness indicator (total volatile base nitrogen) of pork was built using the fluorescence spectra (excited at 340 nm) of the RhB@MOF-5 composite film combined with the partial least squares (PLS) algorithm, providing R-c(2) and R-p(2) values of 0.908 and 0.821 and RMSEC (root mean square error of calibration) and RMSEP (root mean square error of prediction) values of 3.435 mg/100 g and 3.647 mg/100 g, respectively. The qualitative model established by the partial least squares discriminant analysis (PLS-DA) algorithm was able to accurately classify pork samples as fresh, acceptable or spoiled, and the accuracy was 86.67%.

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