Electrochemiluminescence Detecting and Imaging of Yeast Metabolism Indicated by Endogenetic Co-reactant

Glycolysis, a pivotal step in yeast metabolism, plays an indispensable role as a carbohydrate utilization process crucial for cellular survival. Developing advanced technologies to elucidate this fundamental physiological process holds significant scientific implications. Electrochemiluminescence (ECL) imaging exhibits the advantage of negligible background interference and facilitates straightforward visualization, thereby conferring significant value in biomolecular observation. In this study, we present an ECL imaging method for investigating yeast metabolism by utilizing the endogenetic NADH as an efficient coreactant for ECL generation. The yeast glycolysis process drives the conversion of NAD<sup>+</sup> to NADH, resulting in enhanced ECL response as well as the increased brightness of ECL images that can be used for quantification of yeast activity. There was a linear correlation between the reciprocal of both the gray value of ECL image and yeast concentration within the range of 6.25 × 10<sup>6</sup> - 6.25 × 10<sup>8</sup> CFU/mL. Due to the highly efficient coreactant behavior of NADH, our method demonstrated excellent selectivity with minimal interference. Furthermore, we employed this approach to investigate some toxic inhibitors on yeast metabolism, yielding reliable results. This ECL imaging method not only avoids the use of additional coreactants but also provides a sensitive and intuitive approach for monitoring yeast metabolism, demonstrating great potential in revealing various complex biological processes.

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Publication Details

Journal
Analytical Chemistry
Published
2024-12-19
DOI
https://doi.org/10.1021/acs.analchem.4c05663
Citations
4
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.94

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article

Electrochemiluminescence Detecting and Imaging of Yeast Metabolism Indicated by Endogenetic Co-reactant

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4 citations
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
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article

Electrochemiluminescence Detecting and Imaging of Yeast Metabolism Indicated by Endogenetic Co-reactant

Qiaoling Chen, Jiancong Ni, Weiqiang Yang, Zhenyu Lin, Shengxiu Huang
article en
4 citations

Abstract

Glycolysis, a pivotal step in yeast metabolism, plays an indispensable role as a carbohydrate utilization process crucial for cellular survival. Developing advanced technologies to elucidate this fundamental physiological process holds significant scientific implications. Electrochemiluminescence (ECL) imaging exhibits the advantage of negligible background interference and facilitates straightforward visualization, thereby conferring significant value in biomolecular observation. In this study, we present an ECL imaging method for investigating yeast metabolism by utilizing the endogenetic NADH as an efficient coreactant for ECL generation. The yeast glycolysis process drives the conversion of NAD<sup>+</sup> to NADH, resulting in enhanced ECL response as well as the increased brightness of ECL images that can be used for quantification of yeast activity. There was a linear correlation between the reciprocal of both the gray value of ECL image and yeast concentration within the range of 6.25 × 10<sup>6</sup> - 6.25 × 10<sup>8</sup> CFU/mL. Due to the highly efficient coreactant behavior of NADH, our method demonstrated excellent selectivity with minimal interference. Furthermore, we employed this approach to investigate some toxic inhibitors on yeast metabolism, yielding reliable results. This ECL imaging method not only avoids the use of additional coreactants but also provides a sensitive and intuitive approach for monitoring yeast metabolism, demonstrating great potential in revealing various complex biological processes.

Analytical ChemistryVol. 97(1)
Fuzhou University (CN), Minnan Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Minnan Normal University
Zero hunger
Openalex Percentile: Top 24%
Advanced biosensing and bioanalysis techniques
0.94
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