Suppr超能文献

一种用于检测有毒气体的光电鼻。

An optoelectronic nose for the detection of toxic gases.

机构信息

iSense LLC, Palo Alto, California 94301, USA.

出版信息

Nat Chem. 2009 Oct;1(7):562-7. doi: 10.1038/nchem.360.

Abstract

We have developed a simple colorimetric sensor array that detects a wide range of volatile analytes and then applied it to the detection of toxic gases. The sensor consists of a disposable array of cross-responsive nanoporous pigments with colours that are changed by diverse chemical interactions with analytes. Although no single chemically responsive pigment is specific for any one analyte, the pattern of colour change for the array is a unique molecular fingerprint. Clear differentiation among 19 different toxic industrial chemicals (TICs) within two minutes of exposure at concentrations immediately dangerous to life or health were demonstrated. Based on the colour change of the array, quantification of each analyte was accomplished easily, and excellent detection limits were achieved, generally below the permissible exposure limits. Different TICs were identified readily using a standard chemometric approach (hierarchical clustering analysis), with no misclassifications over 140 trials.

摘要

我们开发了一种简单的比色传感器阵列,可检测范围广泛的挥发性分析物,然后将其应用于有毒气体的检测。该传感器由一组可一次性使用的交叉响应纳米孔颜料组成,这些颜料的颜色因与分析物的各种化学相互作用而发生变化。虽然没有单一的化学响应颜料对任何一种分析物具有特异性,但该阵列的颜色变化模式是独特的分子指纹。在暴露于立即危及生命或健康的浓度下两分钟内,该传感器能够清楚地区分 19 种不同的有毒工业化学品(TICs)。基于阵列的颜色变化,可以轻松地对每种分析物进行定量,并实现了优异的检测限,通常低于允许的暴露限值。使用标准化学计量学方法(层次聚类分析)可以轻松识别不同的 TIC,在 140 多次试验中没有误分类。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验