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Record W4391559466 · doi:10.21203/rs.3.rs-3927465/v1

Recycling of Poly (Methyl Methacrylate) Waste Sheets to Synthesize Catalyst-Free Bi- Functional Cation Exchange Resin for Sequestering of Toxic Pollutant

2024· preprint· en· W4391559466 on OpenAlexaff
Ruba Arif, Syed Wasim Ali, Muhammad Saifullah, Shabnam Shahida, Sajid Iqbal

Bibliographic record

VenueResearch Square · 2024
Typepreprint
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsCatalysisPollutantIon-exchange resinMethyl methacrylateWaste managementChemistryMethacrylateMaterials scienceChemical engineeringPolymer chemistryOrganic chemistryPolymerCopolymerEngineering

Abstract

fetched live from OpenAlex

Abstract A simple and green method for the recovery of methyl methacrylate (MMA) has been developed by recycling waste sheets of poly (methyl methacrylate) without using any catalyst. The liquefaction yield was 97.33% while the purity of recovered MMA was up to 92%. The recovered monomer utilized for the synthesis of methylmethacrylate-copolymer-divinylbenzene at 20% cross-linking in the presence of different porogens (methyl isobutylketone, cyclohexane, toluene, and cyclohexanone) by suspension polymerization. The same copolymer was also synthesized but with different cross-linking percentages such as 4, 10, 15, 20, 25, 30, and 40% in the presence of a single porogen (methyl isobutylketone). Different copolymers having pore volumes in the range of 0.120 to 0.682 mL/g were obtained. The pendant –COOCH 3 groups within the polymeric chain were converted to –COOH groups via acid hydrolysis, accompanied by the attachment of –SO 3 H groups to phenyl rings. FTIR, UV-Vis spectrometry and HPLC techniques were used for qualitative and quantitative analyses of–COOH and –SO 3 H groups. The obtained results were compared with copolymers and resin synthesized using commercial MMA, displaying similar behavior. The resin derived from the recovered monomer was utilized for Co 2+ ion removal at various pH levels, demonstrating excellent performance.

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)0.006
metaresearch head score (Gemma)0.001
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 score0.435
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.005
Research integrity0.0000.001
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 head0.085
GPT teacher head0.374
Teacher spread0.289 · 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.

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
Published2024
Admission routes1
Has abstractyes

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