Sensitive and selective detection of glutathione based on anti-catalytical growth of gold nanoparticles colorimetric sensor

ABSTRACT

Gold nanoparticles (AuNps) are often employed in different detection paths based on the catalytic growth mechanism; AuNps could act as catalyst for the reduction of AuCl₄⁻ and result in the enlargement of the original AuNps. However, there are few probes based on the anti-catalytical growth of AuNps in previous studies. In this article, we proposed a simple colorimetric sensor for the detection of glutathione (GSH) based on the anti-catalytical growth of AuNps, the strong affinity of GSH make it readily combine with AuNps or metal ions (AuCl₄⁻), and thus inhibit the catalytical growth of AuNps through the specific property of GSH. Therefore, the UV absorbance of detection system could be used to estimate the concentration of GSH, and the probe exhibits highly sensitive and selective detection of the concentration of GSH with a wide linear from 13 to 800 nM within 20 min. Meanwhile, a good linear relationship with correlation coefficient of R² = 0.9795 was obtained. It is believed that this research could broaden the choices of GSH detection methods.

KEYWORDS:

• Glutathione
• gold nanoparticles
• colorimetric sensor
• sensitivity

View correction statement:

Correction to: Cui Lai, Lei Qin, Liang Chen, Guang-Ming Zeng, Dan-Lian Huang, Chen Zhang, Piao Xu and Min Cheng, Sensitive and selective detection of glutathione based on anti-catalytical growth of gold nanoparticles colorimetric sensor

Acknowledgments

This study was financially supported by the National Natural Science Foundation of China (51408206, 51378190, 51278176, 51579098 and 51521006), the Program for Changjiang Scholars and Innovative Research Team in University (IRT-13R17), the Fundamental Research Funds for the Central Universities, the Program for New Century Excellent Talents in University (NCET-13-0186), Scientific Research Fund of Hunan Provincial Education Department (No.521293050), the Hunan Provincial Innovation Foundation for Postgraduate (CX2015B091) and the Hunan Provincial Natural Science Foundation of China (2015JJ2031).

Disclosure statement

No potential conflict of interest was reported by the authors.

Supplementary material

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Additional information

Funding

This study was financially supported by the National Natural Science Foundation of China [41601272, 51278176, 51378190, 51408206, 51521006, 51579098]; the Hunan Provincial Natural Science Foundation [2015JJ2031]; theChangjiang Scholar Program of Chinese Ministry of Education [IRT-13R17]; Scientific Research Fund of Hunan Provincial Education Department [521293050]; the Fundamental Research Funds for the Central Universities, the Program for New Century Excellent Talents in University [NCET-13-0186]; the Hunan Provincial Innovation Foundation for Postgraduate [CX2015B091].