Publication Notices

Notifications of New Publications Released by ERDC

Contact Us

      

  

    866.362.3732

   601.634.2355

 

ERDC Library Catalog

Not finding what you are looking for? Search the ERDC Library Catalog

Results:
Tag: Predictive modeling
Clear
  • Incubation Temperature and Urea Addition Impact Bacterial Composition and Voltage Output by Electroactive Bacteria

    Abstract: Soil based terrestrial microbial fuel cells, traditionally used as batteries, could also serve as biosensors whereby the addition of an anthropogenic compound changes their voltage output. The ability and rate of electron transmission at the anode surface shifts based on external stimuli. This study investigates microbial response to diurnal temperature cycles and whether the shifts obscure voltage changes induced by the addition of urea. Replicate tMFCs were constructed with either 70 mg/ml urea or water and incubated at either a 25 ◦C static or 10 ◦C to 25 ◦C cycling temperature regime. Voltage was measured for 30 days and the tMFC electrodes were destructively sampled to determine bacterial taxonomy. Though voltage of all tMFCs increased throughout the incubation period, those exposed to urea had an output of 692 mV compared to 1011 mV observed in the controls. In both control and urea tMFCs, maximum voltage output during peak performance was significantly greater in the static temperature incubation than in cyclic. Bacterial diversity was significantly higher in the control tMFCs and was significantly higher at the cathode surface under cyclic temperature conditions. A previously trained machine learning model was able to accurately discern control vs. urea tMFCs despite the diurnal temperature conditions with 99% accuracy. These data show that diurnal temperature fluctuations had minimal impact on the bacterial community, and the presence of a contaminant was a strong predictor of tMFC community composition.