当前位置:
X-MOL 学术
›
Anal. Chem.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Electrochemiluminescence Detecting and Imaging of Yeast Metabolism Indicated by Endogenetic Co-reactant
Analytical Chemistry ( IF 6.7 ) Pub Date : 2024-12-19 , DOI: 10.1021/acs.analchem.4c05663 Jiancong Ni, Shengxiu Huang, Weiqiang Yang, Qiaoling Chen, Zhenyu Lin
Analytical Chemistry ( IF 6.7 ) Pub Date : 2024-12-19 , DOI: 10.1021/acs.analchem.4c05663 Jiancong Ni, Shengxiu Huang, Weiqiang Yang, Qiaoling Chen, Zhenyu Lin
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+ 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 × 106 – 6.25 × 108 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.
更新日期:2024-12-20