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Record W4390273485 · doi:10.1021/acs.iecr.3c03387

Photodegradation of Xanthate Using a Bi<sub>2</sub>Fe<sub>4</sub>O<sub>9</sub>/ZnIn<sub>2</sub>S<sub>4</sub>Heterojunction: Experimental and DFT Studies

2023· article· en· W4390273485 on OpenAlexaff
Qianqian Nie, Linfeng Liu, Jiayou Liu, M. Shen, Xiaoxiang Huang, Zhongchao Tan, Hesheng Yu

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2023
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversity of Waterloo
FundersChina University of Mining and Technology
KeywordsXanthatePhotodegradationPhotocatalysisMaterials scienceDegradation (telecommunications)CatalysisVisible spectrumHeterojunctionIrradiationChemical engineeringNuclear chemistryAnalytical Chemistry (journal)ChemistryChromatographyOrganic chemistryPolymer chemistryOptoelectronicsComputer science

Abstract

fetched live from OpenAlex

Bi 2 Fe 4 O 9 /ZnIn 2 S 4 (BFO/ZIS) composites are synthesized by using a facile impregnation method and tested for the photocatalytic degradation of xanthate for the first time. The effects of multiple parameters, including catalyst dosage and the pH value of solution, on xanthate photodegradation are investigated systematically. Furthermore, the photocatalytic mechanisms of BFO/ZIS are proposed based on various characterizations and density functional theory calculations. Results show that the degradation efficiency of 30BFO/ZIS is 98.25% during 90 min of visible light irradiation, which is 2.63 and 2.89 times higher than that of pure ZIS and BFO, respectively. This is mainly because the type II heterojunction formed between BFO and ZIS improves the separation of photogenerated carriers. Furthermore, the xanthate photodegradation efficiency of 30BFO/ZIS decreases slightly from 98.25 to 92.86% after four cycles, indicating its excellent durability and stability. Finally, the chemical oxygen demand (COD) removal efficiency of 30BFO/ZIS is up to 81.06%, exhibiting a high degree of mineralization.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0020.004
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 head0.108
GPT teacher head0.355
Teacher spread0.247 · 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; both teacher heads agree on what is shown here.

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

Citations15
Published2023
Admission routes1
Has abstractyes

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