Characterization of polymeric surface acoustic wave sensor coatings and semiempirical models of sensor responses to organic vapors.
Characterization of polymeric surface acoustic wave sensor coatings and semiempirical models of sensor responses to organic vapors.
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DOI：
10.1021/ac00063a021
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发表时间：
1993-08
影响因子：
7.4
通讯作者：
S. Patrash;E. Zellers
中科院分区：
文献类型：
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作者：
S. Patrash;E. Zellers
从一个阵列的四个聚合物涂层的表面声波传感器暴露于一系列的39个有机蒸气的响应被用来调查传感器响应模型的基础上蒸汽沸点，溶解度参数，溶剂化参数与线性溶剂化能关系。作为这项工作的一部分，传感器响应数据被用来估计的传感器涂层的溶解度参数和溶剂化参数的适应最初开发的方法与气液色谱保留数据。这些参数的值被发现是一致的涂层的结构，但在某些情况下，从其他方法确定的那些不同。差异归因于测定所用条件的差异。传感器的响应是线性的浓度范围内检查，并可以总结使用经验确定的分配系数，Ke，为每个蒸汽涂层对。发现log Ke和蒸气沸点之间存在线性相关性，回归线的斜率与理想行为的预期斜率相似。相关性的强度随着涂层极性的增加而降低，为了获得令人满意的结果，有必要将蒸汽分为两个或三个广泛的化学类别。改进的相关性被发现通过使用Hildebrand溶解度参数在一个模型的基础上定期溶液理论，试图占非理想的蒸汽涂层相互作用。然而，在线性溶剂化能关系中使用溶剂化参数提供了最强的相关性，在所有情况下，模型K值落在实验值的2倍以内，在83%的情况下，实验值在+/- 25%以内。这些模型的传感器阵列的响应模式的预测的应用程序似乎很有前途。
Responses from an array of four polymer-coated surface acoustic wave sensors exposed to a series of 39 organic vapors were used to investigate sensor response models based on vapor boiling point, solubility parameters, and solvation parameters in conjunction with linear solvation energy relationships. As part of this effort, sensor response data were used to estimate the solubility parameters and solvation parameters of the sensor coatings by adaptation of methods originally developed for use with gas-liquid chromatographic retention data. Values of these parameters were found to be consistent with the structures of the coatings though in some cases different from those determined by other methods. Discrepancies were attributed to differences in the conditions used for the determinations. Sensor responses were linear over the concentration ranges examined and could be summarized using the empirically determined partition coefficient, Ke, for each vapor-coating pair. Linear correlations were found between log Ke and vapor boiling point, and the slopes of the regressions lines were similar to those expected for ideal behavior. The strength of the correlations decreased with increasing coating polarity, and it was necessary to divide the vapors into two or three broad chemical classes in order to obtain satisfactory results. Improved correlations were found by use of Hildebrand solubility parameters in a model based on regular solution theory which attempts to account for nonideal vapor-coating interactions. The use of solvation parameters in linear solvation energy relationships, however, provided the strongest correlations, with modeled K values falling within a factor of 2 of experimental values in all cases and within +/- 25% of experimental values in 83% of the cases. Application of these models to the prediction of sensor array response patterns appears promising.