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Non-destructive detection of shrimp freshness based on metal-organic framework enrichment-enhanced FTIR spectroscopy

文献类型： 外文期刊

作者： Yang, Guiyan 1 ; Jiao, Leizi 2 ; Zhou, Yunhai 2 ; Gao, Zhen 2 ; Liu, Yachao 2 ; Zhao, Chunjiang 1 ; Dong, Daming 2 ;

作者机构： 1.Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan 430070, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Key Lab Agr Sensors, Minist Agr & Rural Affairs, Beijing 100097, Peoples R China

3.Beijing Acad Agr & Forestry Sci, Res Ctr Intelligent Equipment, Beijing 100097, Peoples R China

关键词： Shrimp; Freshness; Volatiles; Metal-organic frameworks; FTIR

期刊名称：FOOD CHEMISTRY （ 影响因子：9.8； 五年影响因子：9.7 ）

ISSN： 0308-8146

年卷期： 2025 年 485 卷

页码：

收录情况： SCI

摘要： Rapid and non-destructive determination of shrimp freshness is of great significance to ensure food safety. Volatile-based analysis is an effective means of detecting food freshness. In this study, we proposed a metal-organic framework (MOF) enrichment-enhanced Fourier transform infrared (FTIR) spectroscopy to determine shrimp freshness. The FTIR spectral characteristics of HKUST-1 MOF adsorbing ammonia, a signature volatile of shrimp spoilage, were analyzed. The univariate and multivariate quantitative models of ammonia, and the identification model of shrimp freshness were established by combining with chemometric methods. The results show that the multivariate model has the optimal ability to quantify ammonia. Partial least squares discriminant analysis (PLS-DA) and support vector machine (SVM) enable the identification of shrimp freshness, with a recognition accuracy of 95 %. FTIR spectroscopy combined with MOF enrichment technique of volatiles provides the feasibility for rapid and non-destructive determination of shrimp freshness.

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