Evidence map›Paper›PMID 42890704›Full record

ArticleIndustrial & engineering chemistry research2026

In Situ 3D Crystal Growth Measurement: Unravelling the Nature of Crystal Face-Specific Growth Rate Dispersion in α‑Form l‑Glutamic Acid.

Chen Jiang, Thomas P Ilett, Thomas A Hazlehurst, Cai Y Ma, David C Hogg, Kevin J Roberts

Abstract read
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Article in Industrial & engineering chemistry research, 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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0citing papers 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chen JiangSchool of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, U.K.ORCID https://orcid.org/0000-0001-5273-0660
Thomas P IlettSchool of Computer Science, University of Leeds, Leeds LS2 9JT, U.K.
Thomas A HazlehurstSchool of Computer Science, University of Leeds, Leeds LS2 9JT, U.K.
Cai Y MaSchool of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, U.K.ORCID https://orcid.org/0000-0002-4576-7411
David C HoggSchool of Computer Science, University of Leeds, Leeds LS2 9JT, U.K.ORCID https://orcid.org/0000-0002-6125-9564
Kevin J RobertsSchool of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, U.K.ORCID https://orcid.org/0000-0002-1070-7435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obtaining 3D crystal morphology and its evolution during growth is beneficial for crystallization process design. A newly developed image analysis tool is used to reconstruct the complex 3D morphology (20 habit faces in 6 forms) of α form l-glutamic acid crystals from 2D transmission microscopy images captured in situ during the growth process. A digital crystallographically based polyhedral mesh is fitted to experimental images, enabling calculation of face-specific growth rates. Solution supersaturation during the growth process is estimated using the fitted crystal volume together with solubility and density data. The data reveals significant growth rate dispersion, reflecting differences in the local solution environment, with {110} and {100} faces growing fastest and {001} the slowest. For our experiments, mechanistic analysis is consistent with surface integration-limited growth, which aligns with the BCF model, except for the {111} and {001} surfaces, which are mass transfer limited under the B&S model.

Identifiers

PMID42890704
PMCPMC13674084

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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.