Using AI and BES/MFC to decrease the prediction time of BOD5 measurement

Environ Monit Assess. 2023 Aug 5;195(9):1018. doi: 10.1007/s10661-023-11576-0.

Abstract

Biochemical oxygen demand (BOD) is one of the most important water/wastewater quality parameters. BOD5 is the amount of oxygen consumed in 5 days by microorganisms that oxidize biodegradable organic materials in an aerobic biochemical manner. The primary objective of this research is to apply microbial fuel cells (MFCs) to reduce the time requirement of BOD5 measurements. An artificial neural network (ANN) has been created, and the predictions we obtained for BOD5 measurements were carried out within 6-24 h with an average error of 7%. The outcomes demonstrated the viability of our AI MFC/BES BOD5 sensor in real-life scenarios.

Keywords: Biochemical Oxygen demand; Biosensor; Microbial fuel cell; Neural network.

MeSH terms

  • Bioelectric Energy Sources*
  • Biological Oxygen Demand Analysis
  • Biosensing Techniques*
  • Environmental Monitoring
  • Oxygen / analysis

Substances

  • BES
  • Oxygen