MétaCan
Menu
Back to cohort
Record W1984470708 · doi:10.1021/cg900661z

Nucleation and Growth Kinetics of (<i>R</i>)-Mandelic Acid from Aqueous Solution in the Presence of the Opposite Enantiomer

2010· article· en· W1984470708 on OpenAlexaff
Yan Zhang, Shimin Mao, Ajay K. Ray, Sohrab Rohani

Bibliographic record

VenueCrystal Growth & Design · 2010
Typearticle
Languageen
FieldMaterials Science
TopicCrystallization and Solubility Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsNucleationSupersaturationChemistryEnantiomerCrystallizationMandelic acidKineticsAqueous solutionRacemic mixtureCrystallographyPhysical chemistryAnalytical Chemistry (journal)ChromatographyStereochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Resolution of mandelic acid (MA), a racemic compound, is presented in this article using direct crystallization from enantiomeric enriched water solutions. Final crystals with enantiomeric excess ( ee ) of ( R )-MA higher than 96.4% were obtained. Because of the presence of the opposite enantiomer (( S )-MA), it was reported that nucleation and growth of ( R )-MA was inhibited at the initial stage of the experiment (Perlberg, et al. Ind. Eng. Chem. Res. 2005, 44, 1012−1020). In order to understand the nucleation and growth kinetics of ( R )-MA in the presence of ( S )-MA, batch crystallization experiments were performed for controlled linear cooling mode with various operating conditions. Nucleation and growth parameters were then estimated by nonlinear fitting the measured liquid concentrations obtained from the signals of in situ attenuated total reflectance infrared (ATR-IR) spectroscopy and online polarimetry with model predictions. The effects of supersaturation, seed amount, cooling rate, and the presence of opposite enantiomer on the growth and nucleation rate of ( R )-MA were discussed.

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 score0.002
Threshold uncertainty score0.005

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)0.0010.000

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 head0.230
Teacher spread0.211 · 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".

Quick stats

Citations18
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCrystal Growth & DesignSame topicCrystallization and Solubility StudiesFrench-language works237,207