AI Article Synopsis
- Ion mobility spectrometry (IMS), specifically differential mobility spectrometry coupled with mass spectrometry (DMS-MS), shows promise in food analysis for classification and authentication.
- This study focuses on using DMS-MS to analyze 70 Spanish paprika samples from different regions, employing advanced statistical methods like partial least squares regression-discriminant analysis (PLS-DA) and soft independent modeling of class analogy (SIMCA).
- The results demonstrated successful classification based on geographical origin and high accuracy in authenticating La Vera and Mallorca paprika samples.
Article Abstract
Ion mobility spectrometry (IMS) has proved its huge potential in many research areas, especially when hyphenated with chromatographic techniques or mass spectrometry (MS). However, focusing on food analysis, and particularly in classification and authentication issues, very few applications have been reported. In this study, differential mobility spectrometry coupled to mass spectrometry (DMS-MS) is presented for the first time as an alternative and high-throughput technique for food classification and authentication purposes using a fingerprinting strategy. As a study case, 70 Spanish paprika samples (from La Vera, Murcia, and Mallorca) were analyzed by DMS-MS to address their classification -using partial least squares regression-discriminant analysis (PLS-DA)- and authentication -through soft independent modeling of class analogy (SIMCA). As a result, after external validation, complete sample classification according to their geographical origin and excellent La Vera and Mallorca sample authentication were reached.
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| http://dx.doi.org/10.1016/j.foodchem.2022.133141 | DOI Listing |
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