Using Muscle Element Fingerprint Analysis (EFA) to Trace and Determine the Source of Hypophthalmichthys nobilis in the Yangtze River Basin

Fishes Pub Date : 2024-08-09 DOI:10.3390/fishes9080316
Chao Song, Chengyao Yang, Feng Zhao, Jilin Xie, Hong Tao, Xiaorong Huang, Zhuang Ping
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Abstract

Hypophthalmichthys nobilis are widely distributed in the Yangtze River basin and its related lakes. They are an important economic fish species and are a famous cultured species known as the “Four Famous Domestic Fishes” in China. Currently, with the fishing ban in the Yangtze River basin, fishing for H. nobilis in the natural water bodies of the Yangtze River basin has been completely prohibited. In order to identify the sources of H. nobilis appearing in the market, further control and accountability is necessary to trace the sources of H. nobilis in the Yangtze River basin and its related water bodies. Therefore, this study identified and traced different sources of H. nobilis through muscle element fingerprint analysis (EFA). The results show that H. nobilis from different stations have characteristic element compositions. The characteristic element of H. nobilis from Wuhan (WH) is Pb, which is significantly higher than that in other stations; the characteristic element from Anqing (AQ) is Hg, which is significantly higher than that in other stations; and the characteristic element from Taihu (TH) is Al, which is significantly higher than that in other water areas. Multivariate analysis selected different spatial distribution patterns in four discriminative element ratios (Pb/Ca, Cr/Ca, Na/Ca, and Al/Ca) in the muscle of H. nobilis in the Yangtze River basin and its related lakes. This study suggests that the screened discriminative elements can be used to visually distinguish different sources of H. nobilis and to quickly trace and verify the origin of newly emerging samples. Therefore, the use of selected discriminative element fingerprint features to trace the origin of new samples has been proven to be feasible. By further discriminating and verifying the muscle element fingerprints of new samples, the discrimination rate is high. Therefore, a multivariate analysis of muscle element fingerprints can be used for tracing the origins of samples of unknown origin in market supervision.
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利用肌肉元素指纹分析法(EFA)追踪和确定长江流域鳙鱼的来源
鳙鱼广泛分布于长江流域及其相关湖泊。它们是重要的经济鱼类,也是著名的养殖品种,被称为中国的 "四大家鱼"。目前,随着长江流域禁渔期的到来,长江流域天然水体已全面禁止捕捞鳙鱼。为了查明市场上出现的鳙鱼的来源,有必要对长江流域及其相关水体的鳙鱼来源进行进一步的控制和追溯。因此,本研究通过肌元素指纹图谱分析(EFA)对鳙鱼的不同来源进行了鉴定和追溯。结果表明,不同监测站点的鳙鱼具有不同的元素组成特征。武汉(WH)鳙鱼的特征元素为铅,明显高于其他水域;安庆(AQ)鳙鱼的特征元素为汞,明显高于其他水域;太湖(TH)鳙鱼的特征元素为铝,明显高于其他水域。多变量分析筛选出了长江流域及其相关湖泊鳙鱼肌肉中四种特征元素比值(Pb/Ca、Cr/Ca、Na/Ca和Al/Ca)的不同空间分布模式。该研究表明,筛选出的鉴别元素可用于直观区分不同来源的鳙鱼,并能快速追踪和验证新出现样本的来源。因此,利用筛选出的鉴别元素指纹特征来追踪新样本的来源已被证明是可行的。通过进一步分辨和验证新样品的肌肉元素指纹,分辨率很高。因此,在市场监管中,可以利用肌肉元素指纹的多元分析对来源不明的样品进行溯源。
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