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Record W2118077328 · doi:10.1109/icbbe.2009.5162646

Disinfection of Sewage Sludge Using Microwave Enhanced Advanced Oxidation Process

2009· article· en· W2118077328 on OpenAlexaff
Yang Yu, K.V. Lo, Ping Liao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHydrogen peroxideSewageSewage sludgeSewage treatmentFecal coliformChemistryPulp and paper industryWaste managementEnvironmental chemistryEnvironmental scienceNuclear chemistryEnvironmental engineeringBiologyOrganic chemistryEcologyEngineering

Abstract

fetched live from OpenAlex

The microwave enhanced advanced oxidation process (MW/H2O2-AOP) was used to treat municipal sewage sludge for pathogen destruction. Two levels of microwave heating temperatures of 55degC and 70degC, and six levels of hydrogen peroxide dosages (0% to 0.1%) were used. Fecal coliform concentrations were found below detection limit (1000 CFU/L) immediately after treatment when sludge was treated at 70degC with more than 0.04% of hydrogen peroxide. Significant regrowth of fecal coliforms was observed after the treated samples were stored at ambient temperature for 72 hours. However, no regrowth was observed with hydrogen peroxide dosages higher than 0.08%, suggesting complete elimination of fecal coliforms. The MW/H2O2-AOP might be a very promising technology in sewage sludge treatment; not only can it solubilize nutrients for subsequent recovery, but also destroy pathogens, for producing Class A sludge.

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 score0.000
Threshold uncertainty score0.002

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 head0.009
GPT teacher head0.266
Teacher spread0.258 · 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

Citations3
Published2009
Admission routes1
Has abstractyes

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