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Caractérisation des paramètres physico-chimiques et microbiologiques au cours d’un cycle de compostage d’ordures ménagères

2005· article· en· W2468240007 on OpenAlexfundno aff
L. Ben Ayed, A. Hassen, N. Jedidi, N. Saidi, O. Bouzaiane, F. Murano

Bibliographic record

VenueEnvironnement Ingénierie & Développement · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicComposting and Vermicomposting Techniques
Canadian institutionsnot available
FundersInstitut national de la recherche scientifique
KeywordsCompostMesophileMicroorganismBiomass (ecology)ChemistryBacteriaFood scienceOrganic matterAerobic bacteriaPopulationEnvironmental chemistryBiologyAgronomyOrganic chemistry

Abstract

fetched live from OpenAlex

Composting is a self-heating, aerobic, biodegradative process of organic waste materials. The present study investigates the prevailing of both physico-chemical conditions such as temperature, total organic matter, moisture, C/N ratio, pH and microbial parameters such as faecal indicator bacteria, Pseudomonas as pathogenic bacteria, mesophilic and thermophilic bacteria, microbial biomass present in a compost of municipal solid waste. So, our results showed the effect of temperature on microbial diversity. In fact, when higher temperature are reached, there is a decrease of faecal coliforms, E.coli, and these results dropped respectively from 370 to 40, from 340 to 25 bacteria/g de MS. The mesophilic microorganisms are very active throughout the process until the end where their number decreased. We also remarked the myriad of microoganisms in the compost showed by the evaluation of the total microbial biomass. Microbial biomass C (BC) ranged from 4,86 to 1 g/kg of dry compost from day 5 to day 62, and decreased and reaches 0,44 g/kg in mature compost.BN showed the same trend as BC ranging from 1,472 to 0,443 g/kg of dry compost from day 5 to day 62. This behaviour is probably related with the decreasing availability of readily decomposable substrates with the ongoing of the process. BC and BN showed a strong correlation (r=0,78). Dynamics of BC/BN ratio, index of the chemical composition of the whole microbial population, suggested a shift in the composition of microbial populations during the process from prevailing bacteria and actinomycetes to prevailing fungi. The hygienization of the final product allow its utilization on agriculture as a fertilizer. So, the aim of this work was to follow the different physic-chemical and microbiological parameters dynamics during the composting process of urban solid waste. Le compostage est un procédé aérobie de transformation biologique de matériaux biodégradables pour former, après maturation, un compost stable et riche en humus. La présente étude a permis de montrer les effets des paramètres physicochimiques et microbiologiques sur le déroulement du processus de compostage. L’effet notable des hautes valeurs de la température sur l’élimination des coliformes fécaux, E.coli notamment, permet une hygiénisation du compost avec une diminution respectivement de 370 à 40, de 340 à 25 bactéries/g de MS. On a aussi remarqué que le compost abrite une large diversité microbienne responsable de la biodégradation. La caractérisation microbienne du compostage est importante dans le suivi du processus et dans la détermination de la qualité du produit fini. La biomasse C (BC) varie entre 4,86 et 1 g/kg de compost sec du 5e jour jusqu’au 62e jour, et diminue pour atteindre 0,44 g/kg dans le compost mature. La biomasse N (BN) montre la même évolution que celle de BC et varie de 1,472 à 0,443 g/kg de compost sec du 5e au 62e jour. Cette évolution est vraisemblablement due à une diminution de la biodisponibilité des substrats facilement décomposables. Avec la progression du processus, BC et BN montrent une importante corrélation (r=0,78). L’évolution du rapport BC/BN donne une idée sur la composition chimique de toute la communauté microbienne et suggère une modification dans sa composition au cours du processus allant des bactéries et actinomycètes jusqu’aux champignons. Le produit fini obtenu en fin de cycle de compostage peut être utilisable à des fins agricoles.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.879

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.257
Teacher spread0.237 · 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 teacher head, 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

Citations6
Published2005
Admission routes1
Has abstractyes

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