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Record W4392243946 · doi:10.1021/acs.oprd.3c00476

Continuous Production of an API Suspension (ZS-9) under Oscillatory Flow at Intensified Temperature and Pressure

2024· article· en· W4392243946 on OpenAlexaff
Brendon J. Doyle, Gordana Vrbanec, Christof Aellig, Eugen Marcelić, Sarah Filliger, Arturo Macchi, Dominique M. Roberge

Bibliographic record

VenueOrganic Process Research & Development · 2024
Typearticle
Languageen
FieldEngineering
TopicInnovative Microfluidic and Catalytic Techniques Innovation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSeedingCrystallizationSuspension (topology)Volumetric flow rateIntensity (physics)Mixing (physics)Space velocityChemistryBar (unit)Materials scienceThermodynamicsMechanicsPhysicsCatalysis

Abstract

fetched live from OpenAlex

A baffleless oscillatory flow coil reactor is implemented for the continuous production of a sodium zirconium cyclosilicate (SZC) species (ZS-9) suspension at elevated temperature and pressure. Development of the process and the resulting effects on product quality are outlined, including both mechanical changes to the reaction system itself and parametric tests of the operating conditions. The reaction apparatus proceeded through several iterations, where physical changes upstream of the crystallization coil from a simple T-junction mixing point to the final system containing a prefilled seeding loop led to significant improvements in product quality. The effects of system temperatures, fluid space times, and oscillation intensity are then outlined, leading to final operating conditions consisting of a 1 h crystallization fluid space time at 245 °C and up to 75 bar, a 173 °C seeding temperature, and a velocity ratio ( Re o / Re n ) ratio of 175 and a ZS-9 production rate of 40 g/h.

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 score0.002

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 integrity0.0000.001
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 head0.020
GPT teacher head0.292
Teacher spread0.271 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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