首页> 美国卫生研究院文献>Molecules >Detection of Pirimiphos-Methyl in Wheat Using Surface-Enhanced Raman Spectroscopy and Chemometric Methods
【2h】

Detection of Pirimiphos-Methyl in Wheat Using Surface-Enhanced Raman Spectroscopy and Chemometric Methods

机译:表面增强拉曼光谱和化学计量学方法检测小麦中的次生磷甲基

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Pesticide residue detection is a hot issue in the quality and safety of agricultural grains. A novel method for accurate detection of pirimiphos-methyl residues in wheat was developed using surface-enhanced Raman spectroscopy (SERS) and chemometric methods. A simple pretreatment method was conducted to extract pirimiphos-methyl residue from wheat samples, and highly effective gold nanorods were prepared for SERS measurement. Raman peaks assignment was calculated using density functional theory. The Raman signal of pirimiphos-methyl can be detected when the concentrations of residue in wheat extraction solution and contaminated wheat is as low as 0.2 mg/L and 0.25 mg/L, respectively. Quantification of pirimiphos-methyl was performed by applying regression models developed by partial least squares regression, support vector machine regression and random forest with principal component analysis using different preprocessed methods. As for the contaminated wheat samples, the relative deviation between gas chromatography-mass spectrometry value and predicted value is in the range of 0.10%–6.63%, and predicted recovery is 94.12%–106.63%, ranging from 23.93 mg/L to 0.25 mg/L. Results demonstrated that the proposed SERS method is an effective and efficient analytical tool for detecting pirimiphos-methyl in wheat with high accuracy and excellent sensitivity.
机译:农药残留检测是农业谷物质量和安全中的一个热门问题。利用表面增强拉曼光谱(SERS)和化学计量学方法,开发了一种精确检测小麦中的嘧啶磷甲基残留的新方法。采取了一种简单的预处理方法从小麦样品中提取嘧啶磷甲基残留物,并制备了用于SERS测定的高效金纳米棒。拉曼峰分配是使用密度泛函理论计算的。当小麦提取液和受污染小麦中的残留物浓度分别低至0.2 mg / L和0.25 mg / L时,可以检测到嘧啶磷的拉曼信号。通过应用偏最小二乘回归,支持向量机回归和随机森林以及使用不同预处理方法进行的主成分分析开发的回归模型,对丙胺磷进行了定量。对于受污染的小麦样品,气相色谱-质谱法值与预测值之间的相对偏差在0.10%–6.63%的范围内,预测回收率在94.12%–106.63%的范围内,范围从23.93 mg / L至0.25 mg /升结果表明,所提出的SERS方法是一种高效,高效,准确度高,灵敏度高的分析工具,可用于检测小麦中的嘧啶磷。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号