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Record W4416668059 · doi:10.1016/j.jwpe.2025.109160

Impact of alkaline thermal hydrolysis on anaerobic digestion of mixed sludge contaminated with microplastics

2025· article· en· W4416668059 on OpenAlexafffund
R. Mompó-Curell, Ashraf Abdеl-Fattah Mostafa, J.A. Mendoza‐Roca, A. Bes-Piá, Bipro Ranjan Dhar

Bibliographic record

VenueJournal of Water Process Engineering · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaMinisterio de Ciencia e InnovaciónMinisterio de Educación y Formación ProfesionalUniversity of AlbertaMinisterio de Ciencia, Innovación y Universidades
KeywordsMicroplasticsAnaerobic digestionThermal hydrolysisContaminationSewage sludgeMethaneWastewaterHydrolysis

Abstract

fetched live from OpenAlex

The widespread presence of microplastics in wastewater treatment plants is well-documented and their detrimental impact on different unit processes has been established by the scientific community. This study aims to advance the understanding of how a still little-known process, alkaline thermal hydrolysis process (ATHP) of the mixed sludge (pH = 10, temperature = 125 °C, exposure time = 60 min), affects the subsequent anaerobic digestion in presence of two commonly found microplastics (polyethylene and polyvinylchloride) in the sludge. Biochemical methane potential test (BMP) was performed with sludge samples without and with ATHP and with and without microplastics (MPs) doping for 35 days. Results indicated a partial degradation of the MPs during ATHP according to the Raman spectra. Concerning cumulative methane production, the maximum production was obtained for the samples with microplastics, irrespective of the pretreatment. However, it was observed that ATHP alleviated the decrease in methane production in the digesters. In fact, for the highest polyethylene concentration, the digester with pretreated sludge yielded a 111 % higher methane production that the digester without pretreatment. It can be concluded that ATHP reduces the inhibition of the anaerobic process in presence of MPs. This study addresses the environmental risk posed by microplastics (PE and PVC) in wastewater sludge by evaluating their behaviour during alkaline thermal hydrolysis and subsequent anaerobic digestion. Results show partial degradation of the polymers and a reduction in their inhibitory effects on methane production. These findings highlight a viable strategy to mitigate the environmental impact of persistent contaminants in sludge treatment systems. The proposed approach contributes to improved energy recovery and safer biosolids management, offering a practical solution for wastewater treatment plants facing increasing microplastic contamination. • ATHP enhances anaerobic digestion performance in MP-doped sludge. • Partial degradation of PE and PVC after ATHP was confirmed via Raman spectra. • ATHP mitigates methane inhibition caused by high PE and PVC concentrations. • Methane yield increased by up to 111 % with ATHP at high PE concentrations.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.003
GPT teacher head0.197
Teacher spread0.194 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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