Evidence map›Paper›PMID 42461729›Full record

ReviewChemical reviews2026

Multidimensional Infrared Spectroscopy as a Bioanalytical Technique.

Sander Woutersen, Neil T Hunt

Abstract readReview
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

2 authors.

Sander WoutersenVan 't Hoff Institute for Molecular Sciences, University of Amsterdam, 1098XHAmsterdam, The Netherlands.ORCID 0000-0003-4661-7738
Neil T HuntDepartment of Chemistry and York Biomedical Research Institute, University of York, YorkYO10 5DD, U.K.ORCID 0000-0001-7400-5152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since its inception at the end of the last century, 2D-IR spectroscopy has undergone continuous development into an established method for studying the structure, dynamics and intermolecular interactions of biomolecules. Thanks to parallel advances in lasers and related technology, 2D-IR data sets can now be acquired in minutes, using minimal sample quantities and under physiologically relevant conditions. This progress has opened the door for 2D-IR spectroscopy to play a role as an analytical tool, making measurements that characterize samples and inform decisions in arenas ranging from drug design to biomedical diagnostics. Here, we briefly review the pioneering developments that have brought about this scenario before discussing the current state of the art in analytical applications of 2D-IR spectroscopy. We consider the implementation of 2D-IR spectroscopy to measure label free protein structure, biomolecular interactions and the use of 2D-IR to interrogate complex mixtures and biological tissues. We include strategies that have extended the reach of 2D-IR spectroscopy through advances in measurement sensitivity and data quality and highlight the potential impact that emerging methods such as machine learning could have on the development of 2D-IR. Finally, we look ahead to the challenges and opportunities facing 2D-IR on its path toward a robust and widely used bioanalytical tool.

Indexed as

ProteinsAnimalsHumansSpectrophotometry, InfraredProteins

Identifiers

PMID42461729
PMCPMC13474560

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.