Kaiying Hu, Shuai Liu, Yang Han, Jingxiang Sun, Yu Mao, Hao Qu, Baolei Dong, Lei Zheng
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Rapid determination of biogenic amines in meats using quinone chemistry-based colorimetric strategy.
Rapid and convenient detection of biogenic amines (BAs) in meat products is a vital approach for ensuring food quality and consumer health. In this study, we developed a quinone chemistry-mediated colorimetric strategy for the rapid detection of BAs in meat. BAs such as putrescine undergo a visible colorimetric reaction with 2-methyl-1,4-benzoquinone (MBQ), producing a product with strong UV-visible absorption at 480 nm, enabling specific colorimetric detection of BAs. Structural analysis of the chromogenic product indicated that a Michael addition reaction between BAs and MBQ was the primary mechanism driving the color change. A deep eutectic solvent (DES) was employed to achieve mild and efficient extraction of BAs from samples. Combined with the quinone-mediated colorimetric reaction, we developed a rapid colorimetric detection method for BAs in pork, fish, and shrimp. The results of the colorimetric assay showed good agreement with those obtained from the Kjeldahl-based nitrogen determination method. The developed method does not rely on photosensitive dyes/pigments or structurally complex nanomaterials, offering a simple, efficient, and low-cost strategy for the rapid quantification of BAs and freshness monitoring in meat products.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.