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Enhancing biogenic carbon dioxide conversion to acetic acid using support materials and machine learning-based

Aikaterini Xirostylidou1, Konstantinos N Kontogiannopoulos2, Alexandros Chatzis1

  • 1Soil and Water Resources Institute, Hellenic Agricultural Organisation Dimitra, Thermi-Thessaloniki 57001, Greece; Laboratory of Chemical and Environmental Technology, Department of Chemistry, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.

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This study explores sustainable biological conversion of carbon dioxide (CO2) to acetic acid. Zero-valent iron enhanced conversion efficiency, supporting a circular carbon economy.

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Area of Science:

  • Biotechnology and Chemical Engineering
  • Sustainable Chemistry
  • Environmental Science

Background:

  • Acetic acid production relies heavily on petroleum, posing environmental and economic challenges.
  • Sustainable alternatives are crucial for carbon neutrality and a circular carbon economy.
  • Biological conversion of carbon dioxide (CO2) offers a promising green pathway.

Purpose of the Study:

  • To investigate the impact of packing and conductive materials on biological CO2-to-acetic acid conversion.
  • To optimize acetogenic activity by inhibiting methanogenesis and favoring the Wood-Ljungdahl pathway.
  • To develop and validate advanced models for process optimization.

Main Methods:

  • Utilized multilevel categorical design (MCD) to assess material effects on pH, yield, and efficiency.
  • Employed 2-bromoethanesulfonic acid to inhibit methanogenesis.
  • Developed and validated statistical models (MCD) and an artificial neural network-genetic algorithm (ANN-GA) framework.

Main Results:

  • Zero-valent iron demonstrated superior performance as a conductive material, achieving high yield (0.68 g/g CO2) and efficiency (99.8%).
  • Material selection significantly influences biological CO2 conversion, with specific materials enhancing or inhibiting performance.
  • Statistical models (MCD and ANN-GA) showed high predictive accuracy (R2 > 0.80, prediction errors < 3%).

Conclusions:

  • Support material selection is critical for enhancing biological CO2 conversion to acetic acid.
  • The study presents a robust modeling framework for optimizing this sustainable bioprocess.
  • Findings contribute to advancing a circular carbon economy through efficient CO2 utilization.