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Journal article

Innovative operation of microbial fuel cell-based biosensor for selective monitoring of acetate during anaerobic digestion

From

Technical University of Denmark1

Department of Environmental Engineering, Technical University of Denmark2

Residual Resource Engineering, Department of Environmental Engineering, Technical University of Denmark3

Aarhus University4

China Agricultural University5

Volatile fatty acids (VFAs) especially acetate concentration have been proved to be a sensitive and reliable indicator for many anaerobic processes such as anaerobic digestion (AD). Microbial fuel cells (MFC) have been demonstrated as a promising VFAs sensor due to simple reactor design and operating conditions among microbial electrochemical biosensors.

However, the conventional MFC biosensors may fail to distinguish between VFAs and other organics as real digestates containing complex organics and microbes are fed into anode directly. In the present study, an MFC based biosensor was developed and operated in a smart way for selective acetate detection.

In the biosensor, acetate ions contained in the AD sample was first fed into the cathode, and then acetic ion transferred through the membrane from the cathode to anode chamber where it was further used as the sole substrate by pre-enriched electroactive biofilm for the current generation. A linear correlation between the current density and acetate concentrations (0.5–20 mM) at varied reaction time (1–5 h) was established.

Then, the interference from propionate, butyrate, isobutyrate, and glucose on the performance of the biosensor was evaluated. Furthermore, the influence of sample temperatures (37 and 55 °C) was also studied. Finally, the VFAs content in real AD effluent with this biosensor was measured. The results corresponded well with gas chromatographic measurements.

This simple, and reliable biosensor could serve as a promising alternative method for acetate detection in the AD process or any other acetate-rich fluids.

Language: English
Year: 2019
Pages: 1439-1447
ISSN: 18791026 and 00489697
Types: Journal article
DOI: 10.1016/j.scitotenv.2018.11.336
ORCIDs: 0000-0003-1203-0680 , 0000-0001-8499-6375 , Zhang, Yifeng and Angelidaki, Irini

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