Evidence map›Paper›PMID 41589710›Full record

ArticleChemical communications (Cambridge, England)2026

High-throughput chiral analysis using automated desorption electrospray ionization mass spectrometry.

Jie Li, Nicolás M Morato, Bo Hao, Ainslie Chen, Lucile Jouffroy, Ho Kim, Zhicai Shi, Karel Goossens, Iulia I Strambeanu, R Graham Cooks

Abstract read
In one paragraph

Article in Chemical communications (Cambridge, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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

10 authors.

Jie LiChemistry Capabilities, Analytical and Purification, Global Discovery Chemistry, Johnson & Johnson, Spring House, PA 19477, USA.ORCID http://orcid.org/0000-0002-4282-4919
Nicolás M MoratoPurdue Institute for Cancer Research, Purdue University, West Lafayette, IN 47907, USA.ORCID http://orcid.org/0000-0003-0218-407X
Bo HaoChemistry Capabilities, Analytical and Purification, Global Discovery Chemistry, Johnson & Johnson, Spring House, PA 19477, USA.
Ainslie ChenDepartment of Chemistry, Purdue University, West Lafayette, IN 47907, USA. cooks@purdue.edu.
Lucile JouffroyChemical Process Research and Development, Therapeutics Development & Supply, Johnson & Johnson, 2340 Beerse, Belgium.
Ho KimChemistry Capabilities, Analytical and Purification, Global Discovery Chemistry, Johnson & Johnson, Spring House, PA 19477, USA.
Zhicai ShiChemistry Capabilities, Analytical and Purification, Global Discovery Chemistry, Johnson & Johnson, Spring House, PA 19477, USA.
Karel GoossensChemical Process Research and Development, Therapeutics Development & Supply, Johnson & Johnson, 2340 Beerse, Belgium.ORCID http://orcid.org/0000-0003-0134-9565
Iulia I StrambeanuChemistry Capabilities, Analytical and Purification, Global Discovery Chemistry, Johnson & Johnson, Spring House, PA 19477, USA.ORCID http://orcid.org/0000-0002-1502-5484
R Graham CooksDepartment of Chemistry, Purdue University, West Lafayette, IN 47907, USA. cooks@purdue.edu.ORCID http://orcid.org/0000-0002-9581-9603

Funding

High throughput infrastructure for reaction screening and bioassaysUH3TR004139 · NCATS · PURDUE UNIVERSITY · PI Robert Graham Cooks · 2024 to 2026
$4.1M
NCATS NIH HHS UH3 TR004139
6 · The paper itself

Abstract

Rapid chiral analysis is important for high-throughput experimentation in drug development. Here, we implement the so-called "kinetic method" on an automated DESI-MS platform for the fast and separation-free enantiomeric analysis (0.2 min per sample) of a variety of chiral molecules directly from mixtures.

Identifiers

PMID41589710
PMCPMC13050499

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Registered trials

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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.