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首页> 外文期刊>Aquaculture >Isotopic and elemental profiling to trace the geographic origins of farmed and wild-caught Asian seabass (Lates calcarifer)
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Isotopic and elemental profiling to trace the geographic origins of farmed and wild-caught Asian seabass (Lates calcarifer)

机译:同位素和元素剖析追踪养殖和野生捕获的亚洲鲈鱼(Lates Calcarifer)的地理起源

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摘要

Demand for seafood, farmed or wild-caught, is growing globally. Consequently, seafood provenance is increasingly important to regulatory bodies, market chain actors and consumers. The limitations of current seafood provenance methods can be overcome using complementary or standalone nuclear techniques. This study focuses on determining the production method and geographic origin of Asian seabass (Lates calcarifer) using Stable Isotope Analysis (SIA) and X-ray fluorescence (XRF) through Itrax. The data were analysed using three different statistical methods; univariate and multivariate analysis, randomForest and LDA. The SIA model had accuracy of 84% when distinguishing the production methods and geographic origin of the L. calcarifer. The model using elemental analysis from the XRF returned an accuracy of 72%, and a combined SIA and elemental model was 81% accurate in determining provenance. However, the SIA model had two incorrect predictions compared to one incorrect prediction in the elemental model, while the combined model had no incorrectly predicted samples. The results of this study highlight that a combination of both SIA and elemental profiling through Itrax is ideal for seafood provenance.
机译:对海鲜,养殖或野生捕获的需求在全球范围内增长。因此,海鲜出处对监管机构,市场链演员和消费者越来越重要。可以使用互补或独立核技术克服当前海鲜出处方法的局限性。本研究侧重于使用稳定同位素分析(SIA)和X射线荧光(XRF)来确定亚洲鲈鱼(Lates Calcarifer)的生产方法和地理来源通过Itrax。使用三种不同的统计方法分析数据;单变量和多变量分析,randomforest和LDA。在区分L. Calcarifer的生产方法和地理起源时,SIA模型的准确性为84%。使用来自XRF的元素分析的模型返回72%的准确性,并且在确定出处时,组合的SIA和元素模型的准确性为81%。然而,与元素模型中的一个不正确的预测相比,SIA模型具有两个不正确的预测,而组合模型没有错误地预测的样本。这项研究的结果强调了SIA和元素分析通过Itrax的组合是海鲜出处的理想选择。

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