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

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.