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Record W2035935775 · doi:10.1080/10934529.2013.838880

Effects of microwave, ultrasonic and enzymatic treatment on chemical and physical properties of waste-activated sludge

2013· article· en· W2035935775 on OpenAlexafffund
Wei Yi, K.V. Lo, Donald S. Mavinic

Bibliographic record

VenueJournal of Environmental Science and Health Part A · 2013
Typearticle
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicrowaveActivated sludgeUltrasonic sensorProteaseParticle sizeChemistryHydrolysisLysisEnzymeParticle (ecology)Materials scienceParticle-size distributionChromatographyChemical engineeringBiochemistrySewage treatmentWaste managementBiology

Abstract

fetched live from OpenAlex

The effects of microwave irradiation, microwave enhanced advanced oxidation process (MW/H2O2-AOP), ultrasonic and/or protease enzymatic treatments on chemical and physical properties of waste-activated sludge were studied. The different treatment mechanisms resulted in various degrees of biomass cell destruction and nutrient release, as evidenced by transformation of chemical constituents, particle size distribution, and scanning electron microscopic imaging. The microwave irradiation and the MW/H2O2-AOP resulted in higher soluble protein concentrations, but lower amino acids. High concentrations of soluble polysaccharide and deoxyribonucleic acid were also obtained in solution. The particle size distribution profile, after treatments, remained similar to that of waste-activated sludge; however, the distribution shifted toward smaller particle sizes. Ultrasonic treatment resulted in a high concentration of amino acids and overall protein disintegration/hydrolysis. Protease enzymatic treatment, after ultrasonic disintegration, further enhanced protein degradation. The particle size distribution profile for ultrasonic treatment was altered to a further nonuniform distribution. The ultrasonic plus protease treatment yielded the best results, in terms of cell wall destruction.

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 score0.017
Threshold uncertainty score0.159

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 head0.013
GPT teacher head0.221
Teacher spread0.207 · 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

Citations31
Published2013
Admission routes2
Has abstractyes

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Same venueJournal of Environmental Science and Health Part ASame topicAnaerobic Digestion and Biogas ProductionFrench-language works237,207