A microfluidic study of the kinetics of bio-electrochemical oxidation of acetate by a Geobacter sulfurreducens biofilm
Bibliographic record
Abstract
This work addresses the need for kinetic studies to better understand the mechanisms that are responsible for the outputs from flow-based bioelectrochemical systems (BES). Unlike most kinetic studies, which focus on electron transport, here we consider reaction kinetics with a focus on chemical mass transport. To achieve this, we used a precision microfluidic reactor which accurately controlled acetate concentration ([Ac]), flow rate (Q), and flow direction (tangential and perpendicular), while output current (I) from a mature Geobacter sulfurreducens electroactive biofilm (EAB) was measured. A detailed analysis of the effects of the control variables on the current (I) were evaluated over a long timeframe, between 1 month to nearly 1 year. The results indicate that all experimental parameters have effects on outputs, but overall, age is the dominant factor. After nearly 1 year, current densities were as high as 29.5 A m-1, which is higher than any other 3-electrode experiment on G. sulfurreducens EAB. The main mechanisms for high outputs at early stages appeared to be related to EAB deacidification, whereas for the old EAB, increases were related to significantly higher acetate permeability due to structural changes in the EAB. Additionally, each flow mode exhibits complementary kinetic properties based on a quantitative analysis of apparent enzyme/substrate affinity (KM(app)) and maximum current (Imax) values. Therefore, in addition to providing valuable insights to the biosensors and bioelectronics community, these findings open the door to practical approaches for optimization of BES device design and operation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".