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Direct electron transfer chemistry of redox‐active enzymes: applications in biosensor development

doi: 10.1002/bbb.2742
AbstractThe direct electron transfer (DET) process, which does not require a mediator, is highly advantageous and holds significant potential for application in biosensors. Enzyme‐based biosensors are simple, cost‐efficient, and easy to use. This review highlights key enzymes with redox‐active sites that are suitable for DET processes using various modified electrodes and their applications in biosensors. The review discusses enzyme classification, distinguishing between single‐cofactor and multi‐cofactor enzymes according to their number of prosthetic groups, with a focus on internal electron transfer processes and the role of redox‐active centers. Methods for enzyme immobilization on electrodes are explored with an emphasis on their impact on electron transfer rates in biosensors. A comparison of sensitivity, electron transfer rates, and the linear detection range of molecules (e.g., glucose and lactose) is provided to illustrate the impact of different immobilization techniques on biosensor performance.
- Bahauddin Zakariya University Pakistan
- Government Sadiq College Women University Pakistan
- University of Sharjah United Arab Emirates
- Islamia University of Bahawalpur Pakistan
- University of Wah Pakistan
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
