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自组织纳米受体用于羧酸盐药物检测和区分的传感器阵列。

Sensor arrays made by self-organized nanoreceptors for detection and discrimination of carboxylate drugs.

机构信息

Dipartimento di Scienze Chimiche, Università di Padova, via Marzolo 1, 35131 Padova, Italy.

出版信息

Analyst. 2018 Nov 19;143(23):5754-5763. doi: 10.1039/c8an01756e.

DOI:10.1039/c8an01756e
PMID:30334044
Abstract

Nanoreceptors capable of recognizing amphiphilic organic carboxylates have been obtained by exploiting the self-organization properties of monolayer-protected gold nanoparticles. Affinity and selectivity for the target compounds can be modulated by modifying the chemical structure of the nanoparticle-coating molecules (cationic thiols). Such nanoreceptors have been used to develop sensor arrays in combination with different commercially available fluorescent dyes. The combined systems were tested for the detection and discrimination of four kinds of nonsteroidal anti-inflammatory drugs (NSAIDs). The discriminatory capability of the sensing systems has been evaluated through pattern recognition methods, principle component analysis (PCA) and linear discriminant analysis (LDA). The results showed that the systems here reported are able to identify the four kinds of NSAIDs with 100% accuracy in a quantitative way. The sensing system is capable of detecting the target drugs at micromolar concentration, discriminating both analyte identity and amount. In addition, the proposed sensor array is able to detect the four kinds of NSAIDs in a commercial tablet or in artificial urine.

摘要

通过利用单分子层保护金纳米粒子的自组织特性,获得了能够识别两亲性有机羧酸酯的纳米受体。通过修饰纳米粒子包覆分子(阳离子硫醇)的化学结构,可以调节对目标化合物的亲和性和选择性。已经将这种纳米受体与不同的市售荧光染料结合使用,开发出了传感器阵列。通过模式识别方法、主成分分析(PCA)和线性判别分析(LDA)对组合系统进行了测试,以检测和区分四种非甾体抗炎药(NSAIDs)。结果表明,所报道的传感系统能够以定量的方式 100%准确地识别这四种 NSAIDs。该传感系统能够以微摩尔浓度检测目标药物,同时区分分析物的身份和数量。此外,所提出的传感器阵列能够检测商业片剂或人工尿液中的四种 NSAIDs。

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引用本文的文献

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Molecular Features for Probing Small Amphiphilic Molecules with Self-Assembled Monolayer-Protected Nanoparticles.
用于探测具有自组装单分子层保护的纳米粒子的小分子两亲性分子的分子特征。
Langmuir. 2020 May 26;36(20):5671-5679. doi: 10.1021/acs.langmuir.9b03686. Epub 2020 May 11.