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A pH-Regulated Colorimetric Sensor Array for Discrimination of Biothiols Based on Two Different-Sized β-Cyclodextrin-Functionalized AuNPs

A pH-Regulated Colorimetric Sensor Array for Discrimination of Biothiols Based on Two... The abnormal changes of biothiols are directly related to health condition of human body, and the effective identification and quantification of biothiols is of great significance for screening and diagnosis of disease. This study described the development of a pH-regulated colorimetric sensor array for discrimination of five kinds of biothiols including cysteine (Cys), glutathione (GSH), homocysteine (Hcy), cysteamine (CA) and N-acetylcysteine (NAC). The proposed sensor array was established using 5-nm- and 20-nm-sized β-cyclodextrin-functionalized gold nanoparticles (β-CD@AuNPs) as nonspecific receptor and signal transduction elements. Due to the different binding affinity between biothiols and β-CD@AuNPs in various pH environments, the different aggregation behaviors of nanoparticles produced unique colorimetric response patterns, which were able to be distinguished by bare eyes and UV–vis spectrophotometer. Accordingly, principal component analysis (PCA) and hierarchical cluster analysis (HCA) were employed for pattern recognition and generated a clustering map for a clear differentiation of biothiols at the level of μmol/L. Furthermore, it can be proved that the method was successfully applied to the analysis of biothiols in human urine samples. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Analysis and Testing Springer Journals

A pH-Regulated Colorimetric Sensor Array for Discrimination of Biothiols Based on Two Different-Sized β-Cyclodextrin-Functionalized AuNPs

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Publisher
Springer Journals
Copyright
Copyright © The Nonferrous Metals Society of China 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
2096-241X
eISSN
2509-4696
DOI
10.1007/s41664-023-00249-z
Publisher site
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Abstract

The abnormal changes of biothiols are directly related to health condition of human body, and the effective identification and quantification of biothiols is of great significance for screening and diagnosis of disease. This study described the development of a pH-regulated colorimetric sensor array for discrimination of five kinds of biothiols including cysteine (Cys), glutathione (GSH), homocysteine (Hcy), cysteamine (CA) and N-acetylcysteine (NAC). The proposed sensor array was established using 5-nm- and 20-nm-sized β-cyclodextrin-functionalized gold nanoparticles (β-CD@AuNPs) as nonspecific receptor and signal transduction elements. Due to the different binding affinity between biothiols and β-CD@AuNPs in various pH environments, the different aggregation behaviors of nanoparticles produced unique colorimetric response patterns, which were able to be distinguished by bare eyes and UV–vis spectrophotometer. Accordingly, principal component analysis (PCA) and hierarchical cluster analysis (HCA) were employed for pattern recognition and generated a clustering map for a clear differentiation of biothiols at the level of μmol/L. Furthermore, it can be proved that the method was successfully applied to the analysis of biothiols in human urine samples.

Journal

Journal of Analysis and Testing – Springer Journals

Published: Jun 1, 2023

Keywords: Colorimetric sensor array; Biothiols; β-Cyclodextrin-functionalized AuNPs; Principal component analysis

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