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Record W4282826123 · doi:10.1016/j.eti.2022.102751

Facile metal organic framework composites as photocatalysts for lone/simultaneous photodegradation of naproxen, ibuprofen and methyl orange

2022· article· en· W4282826123 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironmental Technology & Innovation · 2022
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsDalhousie University
FundersSharjah Research AcademyAmerican University of Sharjah
KeywordsPhotodegradationNaproxenMethyl orangePhotocatalysisMaterials scienceNuclear chemistryMetal-organic frameworkIbuprofenChemical engineeringChemistryCatalysisOrganic chemistryAdsorption

Abstract

fetched live from OpenAlex

Pharmaceuticals and dyes are known to have endocrine disrupting effects in humans and aquatic animals. As a result of inefficient removal of these micropollutants from wastewater, they have been detected in potable water supplies. In this work, photocatalysts were prepared by incorporating TiO2 and ZnO into the framework of the MOF, MIL-53(Al), and were used in photodegradation studies of single and binary mixtures of naproxen, ibuprofen and methyl orange. The photocatalyst composites, MIL-53(Al)@TiO2 and MIL-53(Al)@ZnO, were characterized by XRD, FTIR, BET and FE-SEM, which confirmed attachment of TiO2 and ZnO nanoparticles to MIL-53(Al). DRS revealed direct optical band gaps of MIL-53(Al)@TiO2 and MIL-53(Al)@ZnO to be 3.34 eV and 3.24 eV, respectively. Uncoated MIL-53(Al) showed greatest photodegradation efficiency for naproxen (89.5%), closely followed by MIL-53(Al)@TiO2 (80.3%) and MIL-53(Al)@ZnO (76.6%). Uncoated MIL-53(Al) was also efficient at degrading ibuprofen from single and binary micropollutant systems, with MIL-53(Al)@ZnO performing better than MIL-53(Al)@TiO2 in both systems. MIL-53(Al)@ZnO was the only photocatalyst that was able to degrade methyl orange in both systems. It was established that a 3:1 ratio of naproxen (mg/L) to MIL-53(Al)@TiO2(mg) was optimum for photodegradation, while for ibuprofen and methyl orange in single and binary systems, a 2:1 ratio of total micropollutant (mg/L) to MIL-53(Al)@ZnO (mg) gave the best degradation performance. The photodegradations kinetics were investigated and fitted to zero and pseudo-first/second order models. Recyclability of MIL-53(Al)@TiO2 for three consecutive photodegradation cycles showed a decrease of only 13.6% in photodegradation efficiency. Experiments conducted with scavengers showed that hydroxyl radicals played a major role in the photocatalytic process photodegradation, and it was found that only 1 h of treatment was sufficient to obtain a considerable COD reduction of 58%. This study provides a promising strategy for uniform MOF loading into ZnO and TiO2 for binary pharmaceutical and dye wastewater photodegradation treatment.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.255
Teacher spread0.246 · 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