State Key Laboratory for Quality and Safety of Agro-products/Institute of Quality and Standards for Agricultural Products, Zhejiang Academy of Agricultural Sciences, 198 Shiqiao Road, Hangzhou, Zhejiang 310021, China; Key Laboratory of Information Traceability for Agricultural Products, Ministry of Agriculture, 198 Shiqiao Road, Hangzhou, Zhejiang 310021, China.
State Key Laboratory for Quality and Safety of Agro-products/Institute of Quality and Standards for Agricultural Products, Zhejiang Academy of Agricultural Sciences, 198 Shiqiao Road, Hangzhou, Zhejiang 310021, China; Key Laboratory of Information Traceability for Agricultural Products, Ministry of Agriculture, 198 Shiqiao Road, Hangzhou, Zhejiang 310021, China.
Food Chem. 2020 Oct 30;328:127115. doi: 10.1016/j.foodchem.2020.127115. Epub 2020 May 21.
Stable carbon (δC) and nitrogen (δN) isotope ratios and multi-element signatures of pooled fish scales were used to differentiate wild, lake-farmed and pond-farmed carp from Dongting Lake, China. Fish scales were found to be important archives for the dietary history and trophic level of wild and farmed fish, indicating their food sources. δC and δN values of pond-farmed carp scales were comparatively enriched to wild and lake-farmed carp due to their animal protein-derived feeds. Multi-element compositions of fish scales also showed significant differences between wild and farmed fish. A partial least squares discriminant analysis (PLS-DA) model correctly discriminated the three carp groups. Discrimination accuracies of wild, lake-farmed and pond-farmed carp were 100%, 95%, and 100% for the training set, and 100% for the testing set. This strategy provides a promising non-lethal alternative method to combat mislabeling of freshwater carp from different farming methods.
采用稳定碳（δC）和氮（δN）同位素比值以及多元素特征对来自中国洞庭湖的野生、湖泊养殖和池塘养殖鲤鱼的鱼鳞片进行了区分。鱼鳞片是研究野生和养殖鱼类饮食历史和营养水平的重要档案，可指示其食物来源。由于池塘养殖鲤鱼的饲料为动物蛋白，因此其鳞片的 δC 和 δN 值比野生和湖泊养殖鲤鱼更为丰富。鱼鳞片的多元素组成也显示出野生和养殖鱼类之间存在显著差异。偏最小二乘判别分析（PLS-DA）模型正确区分了这三组鲤鱼。对于训练集，野生、湖泊养殖和池塘养殖鲤鱼的判别准确率分别为 100%、95%和 100%，对于测试集则为 100%。该策略为打击淡水养殖鲤鱼不同养殖方式的标签造假提供了一种很有前途的非致命替代方法。
