College of Food Science and Engineering, Shanghai Ocean University, Shanghai 201306, China.
Molecules. 2021 Oct 28;26(21):6529. doi: 10.3390/molecules26216529.
Fish species substitution and fraud has become a worldwide economic issue in the seafood industry. In this study, an ultraviolet-visible (UV-Vis) spectroscopy-based method was developed for the identification of fish samples. Sixty fish samples from twelve commonly consumed fish species in China were analyzed as models to testify the protocol. The obtained results show that UV-Vis spectroscopy combined with chemometric analysis, such as principal component analysis (PCA), can accurately distinguish two fish species by boiling fish tissue sample in trifluoroacetic acid (TFA) solution for 2 min and analyzing the resultant samples using a UV-Vis spectrometer. The developed strategy was successfully applied to the classification and identification of fish samples on the market. It is a promising strategy that can be applied to the classification and authenticity testing of closely related fish species in order to detect and recognize fish substitution.
鱼类品种的替代和欺诈已经成为海鲜行业的一个全球性经济问题。在这项研究中，开发了一种基于紫外可见（UV-Vis）光谱的方法来鉴定鱼类样本。以中国十二种常见食用鱼类的 60 个鱼类样本作为模型来验证该方案。结果表明，紫外可见光谱结合化学计量分析，如主成分分析（PCA），可以通过将鱼组织样本在三氟乙酸（TFA）溶液中煮沸 2 分钟，并使用紫外可见分光光度计分析所得样本，准确地区分两种鱼类。该方法已成功应用于市场上鱼类样本的分类和鉴定。这是一种很有前途的策略，可用于密切相关的鱼类品种的分类和真实性测试，以检测和识别鱼类替代。
