Identification of gas species and their concentrations by using sorption kinetics of viscoelastic film

K. Minami, Kota Shiba, Gaku Imamura, Genki Yoshikawa
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引用次数: 1

Abstract

Nanomechanical sensors and their arrays have been attracting significant attention for detecting, distinguishing, and identifying target analytes. In the static mode operation, sensing signals are obtained by a concentration-dependent sorption-induced mechanical stress/strain. Recently, we derived an an-alytical solution, which is applicable to multistep injection-purge cycles in the static mode nanomechanical sensing with viscoelastic receptor layers. The model can be utilized for ex-tracting viscoelastic properties and the concentrations of analytes more accurately by fitting a couple of injection purge curves obtained from experimental data. Here, we show the utility of the optimized parameters directly not only for the identification of gas species but also for their concentrations.
用粘弹性膜吸附动力学鉴别气体种类及其浓度
纳米机械传感器及其阵列在检测、区分和识别目标分析物方面已经引起了人们的极大关注。在静态模式操作中,传感信号是通过浓度依赖的吸附引起的机械应力/应变获得的。最近,我们导出了一种解析解,该解适用于具有粘弹性受体层的静态模式纳米力学传感的多步注射-吹扫循环。通过拟合实验数据得到的注入吹散曲线,该模型可以更准确地提取分析物的粘弹性和浓度。在这里,我们展示了优化参数的效用,不仅直接用于气体种类的识别,而且用于气体浓度的识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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