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Gas Chromatography- Mass Spectrometry Based Metabolomic Approach for Optimization and Toxicity Evaluation of Earthworm Sub-Lethal Responses to Carbofuran

机译:基于气相色谱-质谱的代谢组学方法优化worm对碳呋喃的次致命反应

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摘要

Despite recent advances in understanding mechanism of toxicity, the development of biomarkers (biochemicals that vary significantly with exposure to chemicals) for pesticides and environmental contaminants exposure is still a challenging task. Carbofuran is one of the most commonly used pesticides in agriculture and said to be most toxic carbamate pesticide. It is necessary to identify the biochemicals that can vary significantly after carbofuran exposure on earthworms which will help to assess the soil ecotoxicity. Initially, we have optimized the extraction conditions which are suitable for high-throughput gas chromatography mass spectrometry (GC-MS) based metabolomics for the tissue of earthworm, Metaphire posthuma. Upon evaluation of five different extraction solvent systems, 80% methanol was found to have good extraction efficiency based on the yields of metabolites, multivariate analysis, total number of peaks and reproducibility of metabolites. Later the toxicity evaluation was performed to characterize the tissue specific metabolomic perturbation of earthworm, Metaphire posthuma after exposure to carbofuran at three different concentration levels (0.15, 0.3 and 0.6 mg/kg of soil). Seventeen metabolites, contributing to the best classification performance of highest dose dependent carbofuran exposed earthworms from healthy controls were identified. This study suggests that GC-MS based metabolomic approach was precise and sensitive to measure the earthworm responses to carbofuran exposure in soil, and can be used as a promising tool for environmental eco-toxicological studies.
机译:尽管最近在了解毒性机理方面取得了进展,但农药和环境污染物暴露的生物标志物(随着暴露于化学物质而显着变化的生物化学物质)的开发仍然是一项艰巨的任务。呋喃丹是农业上最常用的农药之一,据说是毒性最高的氨基甲酸酯农药。有必要确定将car呋喃暴露于an后可能会发生显着变化的生物化学物质,这将有助于评估土壤的生态毒性。最初,我们对提取条件进行了优化,以适合于基于Meta的代谢组学的高通量气相色谱质谱(GC-MS)代谢组学。在评估五种不同的萃取溶剂系统后,根据代谢物的产率,多变量分析,峰的总数和代谢物的重现性,发现80%的甲醇具有良好的萃取效率。后来进行了毒性评估,以表征暴露于三种不同浓度水平(0.15、0.3和0.6 mg / kg土壤)的呋喃丹后worm的组织特异性代谢组微扰。确定了十七种代谢物,这些代谢物有助于健康对照中剂量依赖性最高的暴露于呋喃呋喃的car的最佳分类性能。这项研究表明,基于GC-MS的代谢组学方法可以精确而灵敏地测量worm对土壤中呋喃丹暴露的反应,并且可以用作进行环境生态毒理学研究的有前途的工具。

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