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Record W2916986580 · doi:10.1021/acsomega.8b03071

Rational Design of Peroxymonosulfate Activation and Photoinduced Catalysis Tandem Systems for Artificial Conversion of Solar Light to Chemical Energy

2019· article· en· W2916986580 on OpenAlexaff
Shiying Fan, Xinyong Li, Meichun Qin, Jincheng Mu, Liang Wang, Guoqiang Gan, Xinyang Wang, Aicheng Chen

Bibliographic record

VenueACS Omega · 2019
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversity of Guelph
FundersState Administration of Foreign Experts AffairsMinistry of Science and Technology of the People's Republic of ChinaMinistry of Education of the People's Republic of ChinaNational Natural Science Foundation of China
KeywordsPhotocatalysisCatalysisRational designNanotechnologyMaterials scienceChemical engineeringMicrostructureTandemChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

It has been known that dedicated photoinduced catalysis over artificial functional nanostructures and/or combined with effective peroxymonosulfate (PMS) activations toward highly effective greener synthesis and/or environmental remediation have been well recognized to be one of the best options for efficiently exploiting solar light to convert into chemical fuel and energy. Novel ZnxCu1–xFe2O4 (0 ≤ x ≤ 1) hierarchical yolk–shell hollow nano-microspheres/PMS/Vis (ZCF/PMS/Vis) tandem systems with remarkable light harvesting capability and superior environmental catalytic activity toward elimination of antibiotic enrofloxacin up to 90.5% removal efficiency have been successfully designed and fabricated via combined solvothermal strategy and morphologically conserved sintering in this current work. The physicochemical characteristics, diverse structures including the spinel crystal structures, hierarchical nano-microstructure, and internal correlations of structure-dependent properties, and the catalytic reaction mechanism in terms of the synergetic effect between instant PMS activation and dedicated photoinitiated catalysis have been methodically inspected and thoroughly illustrated by a variety of in/ex situ physicochemical ways, and the diverse microstructures including solid microspheres with villiform surfaces, YSHMs composed of exquisite particles, and YSHM alternative formation of diverse microstructures could be ultimately tailored and formed. ZCF YSHMs exhibit higher efficiency of both dedicated catalysis and spatial charge separations owing to their physicochemical characteristics and surface structures, namely, more surface oxygen vacancies, highest specific surface area, and interior structures. Specifically, as confirmed by primary combined characterizations, namely, room-temperature Mössbauer, in situ spin-trap EPR, SPV, ns-TAS, and in situ Raman and sequential investigations, the primary reactive oxygen species were deemed to be SO4·– and ·OH radicals, which generated instantly and simultaneously through surface covalent Cu2+ ions. Sequential-derived Cu(II)/Cu(III)/Cu(II) redox cycling initiated PMS activations and photoinitiated catalysis, and the superior catalytic performance as derived from ZCF HYSHM hierarchical-structured spinels could be primarily attributed to the diverse bulk and surface structures, highly efficient photonic energy harvesting, spatial charge separations and surface–interfacial transfers, more surface oxygen vacancies, and crucial reactive species including SO4·– and ·OH generations with long radical lifetimes up to 14.57 μs. The work could bring a brand new and deep insight into further understanding of both the intrinsic spinel structural influence factors governing the catalytic properties and the synergetic effect between instant PMS activation and simultaneous photoinitiated catalysis at the molecular level, which would be very beneficial for mimicking the natural photosynthetic solar energy harness system with marvelous featured properties in both environmental elimination and solar energy conversions.

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 score0.126
Threshold uncertainty score0.569

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 head0.019
GPT teacher head0.248
Teacher spread0.229 · 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

Citations20
Published2019
Admission routes1
Has abstractyes

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