首页> 外文期刊>Journal of Analytical Methods in Chemistry >Removal of Matrix Interferences by Nano-MgO and Co-Adsorbents for Accurate Multi-Pesticide Residue Analysis in the Chinese Medicinal Herb, Paeoniae Radix Alba
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Removal of Matrix Interferences by Nano-MgO and Co-Adsorbents for Accurate Multi-Pesticide Residue Analysis in the Chinese Medicinal Herb, Paeoniae Radix Alba

机译:纳米MgO和共吸收剂去除基质干扰,在中药草药中准确多种农药残留分析,Paeoniae ad Alba

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A simple, accurate, and high-throughput analytical method was developed to detect 123 pesticide residues in Chinese medicinal herb Paeoniae Radix Alba (PRA) by introducing nano-MgO as a highly efficient purification material based on quick, easy, cheap, effective, rugged, and safe (QuEChERS) design concept. Various PRA samples were extracted using 8?mL 0.5% acetic acid-acetonitrile solution and purified by a dispersive solid-phase extraction method with 30?mg nano-MgO, 40?mg primary secondary amine (PSA), and 40?mg octadecylsilane (C18) as the cleanup adsorbents, followed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). 70.7% of pesticides showed a weak matrix effect after the purification process, indicating that this method can give the precise quantitative analysis of trace pesticides residue. The method was systematically validated under optimal conditions in five different kinds of PRA samples; good linearity was observed in the concentration range of 0.5–250? μ g/L or 1–250? μ g/L. Pesticide recovery in each sample spiked at concentrations of 20, 50, and 200? μ g/kg ranged from 98.0% to 111% and the mean relative standard deviation ranged from 2.72% to 5.70%. Furthermore, the method comparison with the traditional QuEChERS method suggested the feasibility, advantages, and potential application prospect of the present method for the multi-pesticide residue analysis in various PRA samples.
机译:开发了一种简单,准确,高通量的分析方法,通过将纳米MgO作为高效的净化材料基于快速,容易,便宜,有效,粗糙的粗糙,通过将纳米MgO引入纳米MgO(PRA)中检测123个农药残留物。和安全(Quechers)设计理念。使用8·ml 0.5%乙酸 - 乙腈溶液萃取各种PRA样品,并通过分散的固相萃取方法纯化,其中30×mg纳米MgO,40毫克初级胺(PSA)和40μl八碳基硅烷( C18)作为清洁吸附剂,其次是液相色谱 - 串联质谱(LC-MS / MS)。 70.7%的农药显示纯化过程后的基质效果弱,表明该方法可以提供痕量农药残留的精确定量分析。该方法在5种不同的PRA样本中的最佳条件下系统地验证;在0.5-250的浓度范围内观察到良好的线性度? μg / l或1-250? μg/升。在每种样品中捕获的农药恢复以20,50和200的浓度掺入? μg/ kg的范围为98.0%至111%,平均相对标准偏差范围为2.72%至5.70%。此外,与传统QueChers方法的方法比较,提出了本发明的各种PRA样品中多种农药残留分析方法的可行性,优点和潜在应用前景。

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