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A comparison of radio frequency and microwave heating methods for enhancing the removal and biotransformation of endocrine-disrupting triclocarban during advanced anaerobic digestion

2024· article· en· W4405006311 on OpenAlexafffund
Gokce Kor‐Bicakci, Thomas Johnson, Çiğdem Eskicioğlu

Bibliographic record

VenueThe Science of The Total Environment · 2024
Typearticle
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan Campus
FundersHORIZON EUROPE Marie Sklodowska-Curie ActionsH2020 Marie Skłodowska-Curie ActionsHorizon 2020European CommissionNatural Sciences and Engineering Research Council of CanadaUniversity of British ColumbiaCanada Foundation for Innovation
KeywordsTriclocarbanBiotransformationMicrowaveAnaerobic digestionRadio frequencyChemistryMicrowave heatingTriclosanEnvironmental chemistryMethaneComputer scienceMedicineBiochemistryTelecommunicationsOrganic chemistryEnzyme

Abstract

fetched live from OpenAlex

Anaerobic digestion (AD) has very limited effectiveness against the removal of many emerging contaminants, including the pervasive antimicrobial triclocarban (TCC). This is the first study to compare two thermal pretreatment methods to evaluate the fate of persistent TCC and its transformation/degradation by-products during advanced AD. Two electromagnetic heating methods are employed: one uses an innovative radio frequency (RF) heating system at 13.56 MHz, while the other uses microwave (MW) heating at 2450 MHz. The biodegradation was assessed by biochemical methane potential (BMP) assays utilizing spiked secondary sludge. Overall, advanced digestion processes, combined with RF and MW pretreatments, were highly effective in increasing TCC elimination (up to 65 %) from digested sludge after 60 days of incubation, compared to conventional digestion (without pretreatment), which achieved only up to 20 % elimination. The contribution of RF and MW pretreatments to the total TCC removal efficiencies of the overall advanced digestion process was 26 ± 1 % and 22 ± 1 %, respectively. After pretreatment, during thermophilic anaerobic digestion, 34 ± 3 % and 30 ± 2 % additional TCC removals were achieved from the RF- and MW-pretreated samples, respectively. Significantly higher TCC removal and biotransformation occurred in advanced BMPs incubated at thermophilic temperatures compared to mesophilic temperatures. The chlorinated TCC was converted to less toxic carbanilide during digestion, reducing the environmental risk of TCC through the dechlorination mechanism. Considering the feasibility of RF and MW heating systems at full scale, the RF heating technology combined with anaerobic sludge digestion can be preferred to manage the municipal sludge contaminated with antimicrobials. • A custom-built radio frequency system at 13.56 MHz was used for thermal pretreatment. • Radio frequency heating on the fate of triclocarban in digestion was studied for the first time. • Anaerobic digestion with radio frequency heating can be used to obtain non-toxic biosolids. • Triclocarban was transformed into less toxic products during advanced digestion. • Radio frequency heating can be more efficient than microwave heating for pretreatment.

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 score0.001

Distilled classifier scores by category (both heads)

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 head0.011
GPT teacher head0.276
Teacher spread0.265 · 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".

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Citations6
Published2024
Admission routes2
Has abstractyes

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