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Record W4245853370 · doi:10.32920/ryerson.14647779.v1

Pilot Plant Study of Aqueous Linear Alkylbenzene Sulfonate Degradation by Combined Advance Oxidation and Biological Processes

2021· preprint· en· W4245853370 on OpenAlexafffund
Gelareh Bankian Tabrizi

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicEnvironmental Chemistry and Analysis
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiodegradationEffluentDegradation (telecommunications)ChemistryActivated sludgeSulfonateAqueous solutionLinear alkylbenzeneEnvironmental chemistryChemical engineeringSewage treatmentOrganic chemistryEnvironmental engineeringEnvironmental sciencePulmonary surfactant

Abstract

fetched live from OpenAlex

Photochemical degradation of linear alkybenzene sulfonate (LAS) using a pilot plant photoreactor is studied. LAS at 100 mg/L is degraded by UV-254 and UV/H2O2. Degradation of LAS is effectively enhanced by 720 mg/L H2O2. Moreover, the effectiveness of phototreatment on the biodegradability of LAS is examined. Both pretreated and untreated LAS are used in biological experiments. Combination of UV-254 with optimum concentration of H2O2 effectively enhanced the biodegradability of LAS. However, LAS at 100 mg/L can inhibit the growth of microorganisms. It is observed that the adaptation of activated sludge increases the biodegradation of LAS. However, due to the presence of intermediates in the effluent of the photoreactor, the biodegradability of this effluent is less than the biodegradability of the same as the concentration of untreated LAS. It is also observed that using the integration of UV/H2O2 and biological processes instead of single step of UV/H2O2, reduces the total residence time in chemical reactor while obtains the desired total efficiency.

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 score0.182
Threshold uncertainty score0.782

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.231
Teacher spread0.213 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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