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author:

Xu, Shaohua (Xu, Shaohua.) [1] | Deng, Xiaoyu (Deng, Xiaoyu.) [2] | Ji, Shuyi (Ji, Shuyi.) [3] | Chen, Lifen (Chen, Lifen.) [4] | Zhao, Tiesong (Zhao, Tiesong.) [5] | Luo, Fang (Luo, Fang.) [6] | Qiu, Bin (Qiu, Bin.) [7] | Lin, Zhenyu (Lin, Zhenyu.) [8] | Guo, Longhua (Guo, Longhua.) [9]

Indexed by:

EI

Abstract:

Hydrogen sulfide (H2S) is an active physiological molecule, and its intracellular level has great significance to life functions. In this study, an effective and sensitive method was developed for H2S sensing with dark field microscopy (DFM). The proposed method employed AuNPs as the signal source, DFM as the readout system, and an intelligence algorithm as the image processing and output systems, respectively. The AuNP surface was modified with azido and alkynyl in advance, and then added into a tube cap. As the H2S evaporated from the solution and selectively reduced azido to amino, the click chemistry reaction was inhibited, which resulted in the AuNPs being well dispersed in the solution; otherwise, AuNP aggregation occurred. The scattering colour of single AuNPs could be easily distinguished from that of AuNP aggregations with DFM, and the number or ratio of single AuNPs could also be easily obtained by the custom algorithm. The results showed that the H2S content could be linearly analyzed in a range from 2-80 μM. Furthermore, the proposed sensing strategy has been applied for H2S detection in cell lysate. Compared with the traditional colorimetric method, the results showed no significant difference, indicating the good prospects of the algorithm and proposed H2S sensing method. © 2022 The Royal Society of Chemistry

Keyword:

Colorimetry Gold compounds Hydrogen sulfide Image processing Sulfur determination

Community:

  • [ 1 ] [Xu, Shaohua]Jiangxi Engineering Research Centre for Translational Cancer Technology, Jiangxi University of Chinese Medicine, Jiangxi, Nanchang; 330004, China
  • [ 2 ] [Xu, Shaohua]Jiaxing Key Laboratory of Molecular Recognition and Sensing; College of Biological, Jiaxing University, Chemical Sciences and Engineering, Jiaxing; 314001, China
  • [ 3 ] [Deng, Xiaoyu]Ministry of Education Key Laboratory of Modern Preparation of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Jiangxi, Nanchang; 330004, China
  • [ 4 ] [Ji, Shuyi]Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, College of Physics and Information Engineering, Fujian 350116, Fuzhou, China
  • [ 5 ] [Chen, Lifen]Jiaxing Key Laboratory of Molecular Recognition and Sensing; College of Biological, Jiaxing University, Chemical Sciences and Engineering, Jiaxing; 314001, China
  • [ 6 ] [Zhao, Tiesong]Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, College of Physics and Information Engineering, Fujian 350116, Fuzhou, China
  • [ 7 ] [Luo, Fang]Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fuzhou University, College of Chemistry, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, Fujian, Fuzhou; 350116, China
  • [ 8 ] [Qiu, Bin]Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fuzhou University, College of Chemistry, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, Fujian, Fuzhou; 350116, China
  • [ 9 ] [Lin, Zhenyu]Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fuzhou University, College of Chemistry, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, Fujian, Fuzhou; 350116, China
  • [ 10 ] [Guo, Longhua]Jiaxing Key Laboratory of Molecular Recognition and Sensing; College of Biological, Jiaxing University, Chemical Sciences and Engineering, Jiaxing; 314001, China
  • [ 11 ] [Guo, Longhua]Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fuzhou University, College of Chemistry, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, Fujian, Fuzhou; 350116, China

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Source :

Analyst

ISSN: 0003-2654

Year: 2022

Issue: 7

Volume: 147

Page: 1492-1498

4 . 2

JCR@2022

3 . 6 0 0

JCR@2023

ESI HC Threshold:74

JCR Journal Grade:2

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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