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Record W3022753454 · doi:10.1002/wer.1357

Impacts of conductive materials on microbial community during syntrophic propionate oxidization for biomethane recovery

2020· article· en· W3022753454 on OpenAlexafffund
Bing Guo, Yingdi Zhang, Najiaowa Yu, Yang Liu

Bibliographic record

VenueWater Environment Research · 2020
Typearticle
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMethanosaetaMethanobacteriumPropionateMethanogenesisAnaerobic digestionBacteriaChemistryAnammoxFood scienceMethanosarcinaMicrobiologyMicrobial population biologyBiologyMethaneBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Propionate is one of the most important intermediates in anaerobic digestion, and its degradation requires a syntrophic partnership between propionate‐oxidizing bacteria and hydrogenotrophic methanogens. Anaerobic digestion efficiency can be improved by direct interspecies electron transfer (DIET) through conductive materials. This study aimed to investigate the effects of DIET on syntrophic propionate oxidization under room temperature (20°C) and reveal the syntrophic partners. Firstly, conventional anaerobic consortium and conductive material‐enriched consortium were tested for DIET under high H2 partial pressure. The latter supplemented with granular activated carbon (GAC) can mitigate H2 inhibition through DIET. Secondly, a DIET consortium was enriched for testing GAC and magnetite, both showed DIET facilitation. Microbial communities in GAC‐ and magnetite‐supplemented reactors were similar. Syntrophic propionate‐oxidizing bacteria, for example, Smithella (3.9%–9.9%) and a genus from the family Syntrophaceae (1.9%–3.6%) and methanogens Methanobacterium (30.3%–75.2%), Methanolinea (8.5%–25.2%), Methanosaeta (11.4%–36.7%), and Candidatus Methanofastidiosum (3.6%–6.6%), were predominant. Functional genes for cell mobility and membrane transport (3.3% and 9.5% in control reactor) increased with GAC (3.7% and 11.1%, respectively) and magnetite (3.7% and 10.9%, respectively) addition. Syntrophic propionate‐oxidizing bacteria and methanogenesis partners were revealed by co‐occurrence network, for example, Methanobacterium with Smithella, Syntrophobacter, Dechloromonas, and Trichococcus, signifying the importance of the syntrophic partnership in DIET environment. Practitioner points DIET improved syntrophic propionate oxidization under room temperature condition (20°C). Microbial communities were similar for GAC‐ and magnetite‐supplemented reactors, different with control reactor. Syntrophic propionate‐oxidizing bacteria and methanogenesis partners were revealed by co‐occurrence network. Methanobacterium and Smithella, Syntrophobacter, Dechloromonas, and Trichococcus were correlated.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.062
GPT teacher head0.272
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations43
Published2020
Admission routes2
Has abstractyes

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