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Record W2911633483 · doi:10.1021/acssuschemeng.8b05112

CO<sub>2</sub> Sequestration by Bile Salt Aqueous Solutions and Formation of Supramolecular Hydrogels

2019· article· en· W2911633483 on OpenAlexafffund
Meng Zhang, Zhiyuan Ma, Kaojin Wang, X. X. Zhu

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship CouncilFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsSelf-healing hydrogelsAqueous solutionChemistryChemical engineeringSalt (chemistry)DesorptionSupramolecular chemistryCarboxylateMoleculeAdsorptionPolymer chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Bubbling carbon dioxide (CO2) into aqueous solutions of bile salts such as sodium deoxycholate caused a gelation of the solution, forming a hydrogel made of entirely natural biological molecules and providing a convenient storage reservoir of CO2 in water. The carboxylate group of the bile salt becomes protonated in the aqueous solutions to make the bile acid only marginally soluble in water, which induces the formation of a supramolecular hydrogel with nanofibrous structures. Such hydrogels show convenient gel–sol transition by the desorption of CO2. The mechanical properties of the hydrogels may be varied by the amounts of CO2 in the media, reaching a peak value of the storage modulus of the hydrogel. Bubbling CO2 initially yielded a transparent hydrogel which upon continued purging became mechanically stronger and optically opaque. The bile salt aqueous solutions absorb CO2 effectively and may potentially serve as an alternative material for CO2 capture and storage.

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 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 score0.041
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
Bibliometrics0.0000.000
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 head0.003
GPT teacher head0.163
Teacher spread0.161 · 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

Citations29
Published2019
Admission routes2
Has abstractyes

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