Critical factors for carbon fixation efficiency in semiconductor-biohybrid systems: insights from a meta-analysis.

Journal: Bioresource technology
Published Date: Aug 8, 2025

Abstract

Semiconductor biohybrid systems are emerging as promising strategies for enhanced carbon dioxide fixation and synthesis of organic compounds, with the potential to transcend biological limitations. However, the effects of experimental variables on the efficiency of CO fixation in these systems have not been systematically explored, which has hindered insights into the general patterns in this field of research. In this study, we pioneered a comprehensive meta-analysis of 300 observations from 28 studies and used machine learning models to assess the effects of key experimental variables (e.g., microbial and material type, reaction temperature and duration, and light intensity) on CO fixation efficiencies and related outcomes (organic compound yields, electron transfer efficiencies, and quantum yields). The results showed that the inorganic semiconductor and bacterial systems outperformed in terms of CO fixation and organic compound yields, while the results emphasized that temperature, light intensity, and reaction time are the main experimental variables determining the CO fixation efficiency. Notably, this study is the first to apply the XGBoost algorithm to predict optimal CO fixation conditions (t = 96.9 h, L = 445.6 W/m and T = 28.3 ℃). This study paves the way for a rational design of experiments aimed at maximizing CO fixation and organic matter production in semiconductor biohybrid systems.

Authors

  • Diantong Li
    State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Ziyang Tang
    Purdue University West Lafayette, Indiana.
  • Chenchen Wang
    School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China; Tianjin Key Laboratory of Aquatic Science and Technology, Tianjin Chengjian University, Tianjin 300384, China.
  • Jie Mao
    State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: jiemao@rcees.ac.cn.
  • Yaohui Bai
    Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. Electronic address: yhbai@rcees.ac.cn.
  • Jiuhui Qu
    Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.

Keywords

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