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Record W2619167657 · doi:10.11159/iccpe17.105

Synthesis of Hollow Silica Spheres using Skim Natural Rubber as a Template

2017· article· en· W2619167657 on OpenAlexvenueno aff
Nanthiya Hansupalak, Kanokwan Jantawatchai

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNatural rubberSPHERESNatural (archaeology)Materials scienceComposite materialComputer scienceEngineeringGeology

Abstract

fetched live from OpenAlex

A hollow silica sphere (HSS) has cavity and porous shell, which are produced by thermally removing template and structure-directing agent, making it suitable for applications like drug delivery and catalysis [1,2].With two ultimate goals, to make the production of HSS more environmentally-friendly and to increase the value-added price of skim natural rubber (SNR) latex, which is abundant in Thailand, the use of SNR latex as a template for producing HSS from sodium silicate (SS) was of interest.Effects of the synthesis pH and amounts of SNR, cetyltrimethyl ammonium bromide (CTAB), and silica (through adjusting the SS content) on HSS morphology were examined.CTAB was used to diminish the electrostatic repulsion between SNR particles and silica particles.Images from transmission electron microscopy (TEM) exhibited that SNR particles in the latex were quite spherical and had diameters in the range of 78 nm to 400 nm (an average particle diameter of 176 nm).It was also found that SNR particles could be completely removed by calcinations at 550 C for 6 h.The experimental results demonstrated that by controlling rates of hydrolysis and condensation, a two-pH adjustment process from the original value to 10 h and from 10 to 7 during mixing SNR latex, SS, and CTAB allowed the silica synthesis to proceed and, simultaneously, form ordered mesoporous silica shells around each NR particle.This eventually generated HSS with the cavity diameters and thickness ranging from 70-200 nm and 3-22 nm, respectively.The control runs showed that CTAB acted as a structure-directing agent by screening charges on both silica particles and SNR particles, allowing both particle types to get close to each other and form core-shell particles.The removal of all organic materials from the core-shell particles was successfully carried out by applying the calcinations conditions, no sign of silica shell collapse.This was due to the existence of mesopores in the shell wall, generated by CTAB removal.In addition, the experimental results showed that interactions between SNR, silica, and CTAB played important roles in producing HSS.A higher amounts of SNR particles and/or silica particles attracted more CTAB molecules to be adsorbed onto their surfaces via electrostatic attractions, and thus decreasing the surfactant concentration in the water medium, leading to micelle dissociation.Moreover, increasing the SNR amount caused the particles to rapidly flocculate and separate from the slurry of sodium silicate during the pH reduction.Consequently, only disordered porous silica was obtained as a product.The excessive amount of CTAB, however, yielded HSS and porous silica particles with worm-like mesoporous structure.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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