Limits of recognition for simple vapor mixtures determined with a microsensor array
Limits of recognition for simple vapor mixtures determined with a microsensor array
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DOI：
10.1021/ac035294w
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发表时间：
2004-04-01
影响因子：
7.4
通讯作者：
Zellers, ET
中科院分区：
文献类型：
--
作者：
Hsieh, MD;Zellers, ET
“识别极限”（LOR）已被定义为最低浓度，在该最低浓度下，可以用多传感器阵列实现可靠的单个蒸气识别，并且已经报道了基于传感器阵列响应模式概率地确定单个蒸气的LOR的方法。Ibis的文章探讨的问题，定义和评估LOR的蒸气混合物的绝对和相对组分蒸气浓度，其中的混合物必须区分从这些组分蒸气和从子集的可能的低阶组分混合物。Monte Carlo模拟和主成分回归分析的校准响应的一组16个蒸汽从一个阵列的6个不同的聚合物涂层的表面声波传感器的现存数据库被用来说明的方法，并检查LOR值的趋势之间的120个可能的二元混合物和560个可能的三元混合物的数据集。在超过LOD的浓度下，89%的二元混合物可以被可靠地识别（
The "limit of recognition" (LOR) has been defined as the minimum concentration at which reliable individual vapor recognition can be achieved with a multisensor array, and methodology for determining the LORs of individual vapors probabilistically on the basis of sensor array response patterns has been reported. Ibis article explores the problems of defining and evaluating LORs for vapor mixtures in terms of the absolute and relative component vapor concentrations, where the mixture must be discriminated from those component vapors and from the subset of possible lower-order component mixtures. Monte Carlo simulations and principal components regression analyses of an extant database of calibrated responses to a set of 16 vapors from an array of 6 diverse polymer-coated surface acoustic wave sensors are used to illustrate the approach and to examine trends in LOR values among the 120 possible binary mixtures and 560 possible ternary mixtures in the data set. At concentrations exceeding the LOD, 89% of the binary mixtures could be reliably recognized (