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Gold Nanorod-Based Chrono-Colorimetric Sensor Arrays:A Promising Platform for Chemical Discrimination Applications

机译:基于金纳米棒的色度比色传感器阵列:一个有前途的化学歧视应用平台

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摘要

Most array-based sensing platforms, to date, utilize static response patterns for discrimination of a wide variety of analytes, but only a few studies have focused on the important task of quantitatively resolving structural isomers, which are nowadays important because of their broad usage in medicines and industries. A possible way of accomplishing this feat is to combine kinetic (rather than static) sensor response profiles with the chemical tongue strategy to allow the development of array-based sensors for isomeric discrimination. Here, by adding the time dimension, a simple and novel gold nanorod (AuNR)-based chrono-colorimetric sensor array is proposed for chemical discrimination applications. Because of their similar structure but different redox potentials, dihydroxybenzene (DHB) structural isomers have been chosen, as models, to evaluate the applicability of the proposed array. The principle of the array relies on various growth rates of silver shells on AuNRs at different silver ion/AuNR concentration ratios owing to the different kinetic behaviors of DHBs, which canbe used as fingerprints to identify DHBs with the help of multivariateanalysis methods. The combinatorial colorimetric response of AuNRsupon DHB addition has been analyzed by linear discriminant analysisand hierarchical cluster analysis. Finally, identification of individualDHBs or their mixtures in real samples confirms the potential applicationof the proposed array.
机译:迄今为止,大多数基于阵列的传感平台都利用静态响应模式来区分各种分析物,但只有少数研究集中在定量解析结构异构体这一重要任务上,由于其在分子生物学中的广泛应用,如今这一点非常重要。医药和工业。实现这一壮举的一种可能方法是将动态(而非静态)传感器响应曲线与化学舌策略组合在一起,以允许开发基于阵列的传感器以进行异构识别。在此,通过增加时间维度,提出了一种简单新颖的基于金纳米棒(AuNR)的计时比色传感器阵列,用于化学识别应用。由于它们的结构相似但氧化还原电位不同,因此已选择二羟基苯(DHB)结构异构体作为模型,以评估所提出的阵列的适用性。阵列的原理依赖于DHBs动力学行为的不同,在不同银离子/ AuNR浓度比下,AuNRs上银壳的各种生长速率,这可以在多变量的帮助下用作指纹识别DHB分析方法。 AuNRs的组合色度响应加入DHB后,通过线性判别分析进行了分析和层次聚类分析。最后,个人识别实际样品中的DHB或其混合物证实了潜在的应用提议的数组。

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