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Published on: October 5, 2019
Wired and Wireless Photosynthetic Biohybrids: Design, Materials, and Mechanisms
Lihini Jayasinghe1, Wonseok Lee2, Andrew Liu2
1Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States.
Chemical Reviews
|June 3, 2026
Summary
Photosynthetic biohybrid systems harness solar energy for chemical synthesis. This review compares wired and wireless designs, identifying key principles for efficient solar-to-chemical conversion.
Area of Science:
- Biohybrid systems
- Photocatalysis
- Sustainable chemistry
Background:
- Photosynthetic biohybrid systems (PBSs) combine semiconductor light harvesters with microbial metabolism for solar-driven chemical synthesis.
- Current understanding of PBS performance is fragmented across wired (photoelectrode-microbe interface) and wireless (catalyst-sensitized microbes) architectures.
Purpose of the Study:
- To review and compare the chemical principles governing wired and wireless photosynthetic biohybrid systems.
- To identify unifying principles and bottlenecks for designing next-generation PBSs.
- To provide a framework for efficient solar-to-chemical conversion.
Main Methods:
- Review of materials chemistry in semiconductor photoelectrodes and catalysts.
- Analysis of interfacial electron transfer mechanisms in both wired and wireless systems.
- Evaluation of biological constraints including microbial metabolism, cellular uptake, and community dynamics.
Main Results:
- Wired systems: stability, biocompatibility, charge transfer, microbial dynamics, and operational parameters are crucial.
- Wireless systems: semiconductor choice, cellular uptake, redox coupling, and electron delivery mechanisms are key design rules.
- Comparison reveals common chemical principles and limitations across both architectures.
Conclusions:
- A comparative framework is established for understanding and designing PBSs.
- Identifying bottlenecks is essential for advancing efficiency in solar-driven chemical synthesis.
- This review facilitates the predictive design of advanced PBSs for sustainable energy applications.
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