Evidence map›Paper›PMID 42852053›Full record

ArticleChemical science2026

Direct-inject liquid-chromatography enables an autonomous continuous preferential crystallization platform.

Joshua S Derasp, Felix Painsecq, Wenyu Zhang, Matthew E Reish, Paloma Prieto, Jason E Hein

Abstract read
In one paragraph

Article in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Joshua S DeraspDepartment of Chemistry, The University of British Columbia Vancouver British Columbia V6T 1Z1 Canada jason.hein@ubc.ca.
Felix PainsecqDepartment of Chemistry, The University of British Columbia Vancouver British Columbia V6T 1Z1 Canada jason.hein@ubc.ca.
Wenyu ZhangDepartment of Chemistry, The University of British Columbia Vancouver British Columbia V6T 1Z1 Canada jason.hein@ubc.ca.ORCID https://orcid.org/0000-0002-1924-6591
Matthew E ReishDepartment of Chemistry, The University of British Columbia Vancouver British Columbia V6T 1Z1 Canada jason.hein@ubc.ca.
Paloma PrietoDepartment of Chemistry, The University of British Columbia Vancouver British Columbia V6T 1Z1 Canada jason.hein@ubc.ca.
Jason E HeinDepartment of Chemistry, The University of British Columbia Vancouver British Columbia V6T 1Z1 Canada jason.hein@ubc.ca.ORCID https://orcid.org/0000-0002-4345-3005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to both enantiomers of chiral building blocks remains a fundamental challenge in chemical synthesis, particularly for scalable applications in pharmaceuticals, agrochemicals, and materials development. Continuous preferential crystallization (CPC) offers a promising route to obtain enantiomerically enriched compounds from racemic mixtures without the use of chiral auxiliaries. However, its widespread adoption is hindered by the need for precise supersaturation control mediated by real-time process analytical technologies capable of monitoring enantiomeric ratio. Here, we report the development of an autonomous CPC platform enabled by online chiral high-performance liquid chromatography. Using our Direct Inject Liquid Chromatography (DILC) module, we continuously monitor the crystallization process and implement feedback control that initiates temperature-based dissolution in response to early detection of undesired enantiomer accumulation. The trigger threshold is set from the measured noise in the baseline signal, so the controller responds to signal breakthrough rather than the scatter in the measurement, allowing it to run for days without supervision. Applied to the CPC of allylalanine monohydrate, a conglomerate-forming α-amino acid, this system achieved multi-day operation and gram-scale production of enantiopure material with minimal supervision. The platform establishes a generalizable strategy for real-time control of enantioselective crystallizations and opens new avenues for self-driving purification technologies.

Identifiers

PMID42852053
PMCPMC13647125

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.