Networks of Dissolved Organic Matter and Organo-Mineral Associations Stimulate Electron Transfer over Centimeter Distances
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Natural organic matter (NOM) dominated electron transfer has been widely studied in wetlands, freshwater sediments, and peatlands, in which a diffusion-electron hopping mechanism consisting of dissolved organic matter (DOM) and particulate organic matter (POM) was found to mediate electron transfer over centimeter (cm) distances. However, it remains unclear whether such long-distance electron transfer also occurs when NOM is associated with minerals, which form organo-mineral associations (OMAs) and thus are less mobile and accessible. In this study, we investigated the roles of DOM and OMAs in transferring electrons by performing a series of microbial Fe(III)-mineral reduction experiments over a 2 cm distance. We found that significant electron transfer only occurred when both DOM and OMAs were present. Generally, we observed a positive correlation between the relative proportion of DOM and OMAs and the extent of Fe(III) mineral reduction. However, varying the proportion of DOM showed a stronger effect on the Fe(III)-mineral reduction compared to OMAs, indicating that DOM played a more critical role in the electron transfer network. Our findings shed new light on how organic carbon facilitates iron transformation and the associated biogeochemical cycling of nutrients and contaminants in forest soil systems.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it