Abstract

Elemental profiling is a process where element concentrations in tissues are used to discern group membership between a priori groups, such as geographic location. The goal of this meta-analysis was to determine the effectiveness of elemental profiling to discern the geographic origin of seafood products when coupled with discriminant analyses. Cohen’s Kappa of discriminant analyses were calculated based on reported accuracies and calculated expected accuracies. A systemic literature review was conducted which generated 86 effect sizes from 43 studies. A random effects model was used to estimate Cohen’s Kappa, and the average effect observed was 0.83 (±0.036 95% CI) with a p value of <0.001. Moderators were investigated as part of this analysis. There were no significant differences based on production method or geographic range, but differences were observed based on the type of tissue analyzed and taxa groups. Meta-regression was used to analyze the relationship between the effect size and the number of elements included in each analysis or sample size. There was no observed relationship between Kappa and the number of elements analyzed or the sample size of the study. Based on these results, recommendations for future studies that utilize elemental profiling are included.

摘要

元素分析是一个过程，其中组织中的元素浓度用于辨别先验组之间的组成员关系，例如地理位置。该荟萃分析的目标是确定元素分析在与判别分析相结合时识别海产品地理来源的有效性。判别分析的 Cohen's Kappa 是根据报告的准确度和计算的预期准确度计算的。进行了系统的文献回顾，从 43 项研究中产生了 86 种效应量。使用随机效应模型来估计 Cohen's Kappa，观察到的平均效应为 0.83 (±0.036 95% CI)，p值 <0.001。作为该分析的一部分，对主持人进行了调查。基于生产方法或地理范围没有显着差异，但根据分析的组织类型和分类群观察到差异。元回归用于分析效应量与每次分析或样本量中包含的元素数量之间的关系。在 Kappa 与分析的元素数量或研究样本量之间没有观察到关系。基于这些结果，包括对利用元素分析的未来研究的建议。