Abstract
Traditional fermented shrimp paste is widely recognized for its distinctive flavor, exceptional nutritional value, and numerous health benefits. The volatile components of shrimp paste can be influenced by the production process and geographical environment, thereby reflecting its unique characteristics and quality. The objective of this study was to investigate the correlation between shrimp paste produced from different geographical origins and establish a rapid and accurate method for distinguishing them. To accomplish these objectives, the volatiles of shrimp paste from various regions were extracted using headspace solid-phase micro-extraction (HS-SPME) and subsequently analyzed by GC-MS. The data is pre-processed through (Mass Spectrometry-Data Independent Analysis) MS-DIAL software and then subjected to multivariate statistical analysis, wherein correlation analysis, principal component analysis (PCA), and orthogonal partial least square-discriminant analysis (OPLS-DA) were collectively employed. The findings demonstrate that OPLS-DA exhibits a favorable discriminant region in the context of discriminant analysis. The integration of untargeted GC-MS metabolomics with multivariate statistical analysis offers a rapid and efficient approach for discriminating shrimp paste originating from diverse regions, which circumvents the time-intensive process of volatile compound identification.
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Acknowledgements
The financial support for this work was provided by the Innovation Fund of the Advanced Analysis and Testing Center at Nanjing Forestry University, while additional support was received from the “Analysis and Testing of New Methods and New Research Independent Subject” Program, sponsored by the Jiangsu Scientific Instrument and Equipment Association.
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Xiaoyue Ji: conceptualization, writing – original draft. Wensu Ji: investigation, visualization. Linfei Ding: resources, data curation. All authors reviewed the manuscript.
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Xiaoyue Ji declares that she has no conflict of interest. Wensu Ji declares that he has no conflict of interest. Linfei Ding declares that he has no conflict of interest.
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Ji, X., Ji, W. & Ding, L. Untargeted GC-MS metabolomics combined with multivariate statistical analysis as an effective method for discriminating the geographical origin of shrimp paste. Food Anal. Methods 17, 200–206 (2024). https://doi.org/10.1007/s12161-023-02557-7
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DOI: https://doi.org/10.1007/s12161-023-02557-7