Modelling methanogenic pathways and community dynamics during anaerobic digestion of municipal solid waste
Bibliographic record
Abstract
Based on experimental data of mesophilic and thermophilic anaerobic digestion of solids imitating the Chinese and French Municipal Solid Wastes (CMSW and FMSW) a mathematical model was developed to describe dynamics of methanogenic population. Three groups of methanogens were considered in the model including strictly hydrogenotrophic methanogens (Methanoculleus sp.), strictly aceticlastic methanogens (Methanosaeta sp.) and Methanosarcina sp. consuming both acetate and H2 /H2CO3. The growth of these different methanogens was monitored using Fluorescent in situ hybridization. Acetate-oxidizing syntrophs were also included in the model. The batch bottles were studied at water-saturated and unsaturated conditions. Initially, headspaces were purged by inert gas (helium). CMSW and FMSW contained mostly putrescible waste (PSW) as well as cellulosic material under the form of office paper (OP) and cardboard (CD). Separately, batch biodegradation experiments with OP, CD and PSW were carried out. The total organic (TOC) and inorganic (TIC) carbon concentrations, methane production volume, methane and carbon dioxide partial pressures values were used for the model calibration and validation. Moreover, in order to differentiate methane produced by hydrogenotrophic and aceticlastic pathways, we included the equations representing the evolution of isotopic 13C composition of methane that was followed by GC-IRMS analysis. Inhibition of the stages of hydrolysis/acidogenesis and aceticlastic methanogenesis by high value of non-ionized or total VFA concentrations was taken into account. A comparatively good fit of the model to experimental data was obtained. (...)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".