• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>RSC Advances >Strong base pre-treatment for colorimetric sensor array detection and identification of N-methyl carbamate pesticides
【24h】

Strong base pre-treatment for colorimetric sensor array detection and identification of N-methyl carbamate pesticides

机译：对比色传感器阵列检测和N-甲基氨基甲酸酯杀虫剂的鉴定强碱预处理

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Colorimetric sensor arrays demonstrate numerous superior features in chemo- and bio-sensing, but they are generally not applicable to less-reactive analytes. Based on the findings that N -methyl carbamate pesticides could be decomposed into reactive phenols in basic media, herein, a novel strategy of strong base pre-treatment was developed and employed for the colorimetric sensor array detection and differentiation of the N -methyl carbamate pesticides in an indirect manner. With the use of five inexpensive and commercially available phenol responsive indicators, such a colorimetric sensor array can be facilely fabricated. Classification analysis ( e.g. hierarchical clustering analysis (HCA) and principal component analysis (PCA)) reveals that the as-fabricated sensor array has an extremely high dimensionality and, consequently, exhibits excellence in discriminating a variety of N -methyl carbamates from other types of pesticides and potential interferants, and further identifying them exactly from each other. Moreover, semi-quantitative detection could also be achieved through combining HCA/PCA, recognition patterns, and corresponding fitting curves. Overall, the as-developed method exhibits high selectivity and sensitivity, good anti-interference, simultaneous detection and identification capability for each of the N -methyl carbamate pesticides, and potential applicability in real samples. Most importantly, this study demonstrates that pre-treatment strategies are very effective in expanding the range of applications of colorimetric sensor array methodology to less-reactive analytes.
机译：比色传感器阵列展示了化学和生物传感的许多优越的特征，但它们通常不适用于较低的反应性分析物。基于该结果，在本文中，N-甲基氨基甲酸酯农药可以将N-甲基氨基甲酸酯农药分解成反应性酚类，在本文中，开发了一种强碱预处理的新策略，并用于测色的传感器阵列检测和N-甲基氨基甲酸酯农药的分化以间接的方式。通过使用五种廉价且市售的酚响应指示器，可以施加这样一种比色传感器阵列。分类分析（例如分层聚类分析（HCA）和主成分分析（PCA））揭示了由制造的传感器阵列具有极高的维度，因此，卓越地表现出从其他类型的各种类型的各种N-甲基氨基甲酸酯展示卓越杀虫剂和潜在干扰，并进一步识别它们彼此完全识别。此外，还可以通过组合HCA / PCA，识别模式和相应的配合曲线来实现半定量检测。总的来说，为每种N-甲基氨基甲酸酯农药以及实际样品中的潜在适用性表现出高选择性和灵敏度，良好的抗干扰，同时检测和鉴定能力，以及在真实样品中的潜在适用性。最重要的是，本研究表明，预处理策略在扩大比色传感器阵列方法的应用范围内是较少反应的分析物的效果非常有效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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