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Record W4405355631 · doi:10.1016/j.rsurfi.2024.100385

Solid state, rapid mechanochemical route for TiO2 coated Schiff-base polymer as adsorbent for the exclusion of hexavalent Cr from water

2024· article· en· W4405355631 on OpenAlex
Poornima Gubbi Shivarathri, Shwetha Rajappa, Mohith Smaran Reddy Gondhesi, V.S. Anusuya Devi, Mruthyunjayachari Chattanahalli Devendrachari, Harish Makri Nimbegondi Kotresh

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

VenueResults in Surfaces and Interfaces · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsAdsorptionSchiff basePolymerChemical engineeringMaterials scienceSolid-stateHexavalent chromiumPolymer chemistryChemistryOrganic chemistryMetallurgyComposite materialEngineeringPhysical chemistry

Abstract

fetched live from OpenAlex

The removal of hexavalent Cr from water is vital considering its harmful and carcinogenic effects on human health as well as the environment. Effective exclusion of Cr(VI) provides reliable water to consume, impedes bioaccumulation, and mitigates environmental pollution. The present work details the rapid, ecofriendly, solvent-free mechanochemical route for the development of a polymeric Schiff-Base-wrapped TiO 2 (SBP@TiO 2 ) nano-adsorbent for the effective removal of Cr(VI) from water. The comprehensive understanding of the structural and chemical characteristics of the newly synthesized materials were examined through Fourier transform infrared (FTIR) spectroscopy, X-Ray Diffraction (XRD), and Scanning electron microscopy (SEM) with energy dispersive X-ray (EDX) spectroscopy. To assess the adsorption capacity, kinetics, and equilibrium of Cr(VI) adsorbate on adsorbent material (TiO 2 and SBP@TiO 2 ) and to understand the interplay between the critical parameters and their impact on adsorption, a series of batch adsorption studies were carried out. The adsorption equilibrium data for the Cr(VI) adsorption process fitted well with the Freundlich isotherm model of adsorption and adsorption kinetics disclosed that the data are in excellent agreement with R 2 values of 0.98721 for the pseudo-second-order, indicating that the sorption process is by chemisorption. Thermodynamic measurements revealed that the adsorption of Cr(VI) on SBP@TiO 2 was spontaneous and endothermic, as corroborated by the −ve value of Δ G o and the +ve value of Δ H o , respectively. It was discovered that the sorption of 10 and 50 ppm of Cr(VI) on SBP@TiO 2 was 96% and 75.4% under optimal conditions, respectively. In contrast, the sorption study of Cr(VI) on TiO 2 under identical conditions was found to be 49%. The study found that surface functionalization of TiO 2 by SBP admirably improved the adsorption capacity, signifying SBP@TiO 2 as an efficient Cr(VI) adsorbent. Schiff-Base polymer-functionalized TiO 2 nanoparticles as effective sorbent hexavalent Cr, offering a promising solution for heavy metal remediation. • A simple mechanochemical route was adopted to synthesize polymeric Schiff-Base-wrapped TiO 2 (SBP@TiO 2 ) adsorbent. • SBP@TiO 2 demonstrated removal effectiveness of 95, 89, 87, 80, and 75% for 10, 20, 30, 40, and 50 ppm of Cr(VI) solution. • Freundlich isotherm model and pseudo-second-order kinetics were corroborated by the experimental data. • Functionalization of TiO 2 boosted the adsorption competence towards Cr(VI) with excellent stability and cyclability.

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 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 score0.058
Threshold uncertainty score0.701

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)0.0010.000

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 head0.017
GPT teacher head0.282
Teacher spread0.266 · 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