Evidence map›Paper›PMID 42068175›Full record

ArticleAdvanced healthcare materials2026

Fluorescent Nanosensor for Indole-3-Propionic Acid Detection in Gut Health Monitoring.

Mervin Chun-Yi Ang, Jonathan Wei Jie Lee, Sayyid Mohaideen, Gabriel Sánchez-Velázquez, Song Wang, Yangyang Han, Liu Lin, Germaine Yong, Raju Cheerlavancha, Duc Thinh Khong and 6 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 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

16 authors.

Mervin Chun-Yi AngDisruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.ORCID https://orcid.org/0000-0002-4420-9637
Jonathan Wei Jie LeeYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0001-7065-8041
Sayyid MohaideenDisruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
Gabriel Sánchez-VelázquezDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0001-5090-3695
Song WangDisruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.ORCID https://orcid.org/0000-0002-6524-9881
Yangyang HanDisruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.ORCID https://orcid.org/0000-0001-9869-4538
Liu LinYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0009-0003-4351-3201
Germaine YongSingapore Institute of Food and Biotechnology Innovation (SIFBI), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.ORCID https://orcid.org/0000-0001-5661-582X
Raju CheerlavanchaDisruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.ORCID https://orcid.org/0000-0002-1854-0406
Duc Thinh KhongDisruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.ORCID https://orcid.org/0000-0001-7001-385X
Jianhong ChingCardiovascular and Metabolic Diseases Programme, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0003-1526-8459
Sharon Hong Yu HanCardiovascular and Metabolic Diseases Programme, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore.
Jun Yu YeoDisruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
Lian XuDisruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
Gajendra Pratap SinghDisruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.ORCID https://orcid.org/0000-0001-8561-1385
Michael S StranoDisruptive & Sustainable Technologies for Agricultural Precision IRG, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.ORCID https://orcid.org/0000-0003-2944-808X

Funding

National Research Foundation Singapore NRF2022-ITS011-0007National Science Foundation Graduate Research Fellowship Program 2141064
6 · The paper itself

Abstract

The gut microbiota plays a pivotal role in bio-transforming dietary components, including tryptophan, an essential amino acid that undergoes microbial metabolism. Microbial metabolism of tryptophan yields indole-3-propionic acid (IPA), an emerging biomarker for gut inflammation. Current IPA detection relies on expensive, time-consuming mass spectrometry. To address this limitation, a fluorescent nanosensor system is presented that uniquely features two optical modalities: one utilizing near-infrared (NIR) emission of a central single-walled carbon nanotube (SWNT), and a separate, visible emission from the corona phase polymer, a cationic conjugated polyelectrolyte (CP3). Selective IPA molecular recognition occurs at the latter, but the binding is optically reported via quenching in both the visible and NIR emission channels. The two modalities provide complementary advantages: CP3-SWNTs' NIR channel enables detection in strongly scattering tissue environments due to reduced Rayleigh scattering at longer wavelengths. Conversely, CP3 visible channel facilitates future rapid, cost-effective point-of-care biological sample screening. Functionality of both modalities is maintained within a gelatin metacrylate hydrogel offering potential for future continuous in vivo monitoring of IPA dynamics. The sensor reveals significant differences in plasma IPA levels between healthy controls and patients with active gut inflammation: ulcerative colitis and Crohn's disease, highlighting its promise in rapid gut health assessment.

Indexed as

Gastrointestinal MicrobiomeIndolesAnimalsFluorescent Chemosensor CompoundsHumansNanotubes, CarbonFluorescent Chemosensor Compoundsindolepropionic acidIndolesNanotubes, Carboncarbon nanotubesconjugated polyelectrolytegut healthIndole‐3‐propionic acidnanosensor

Identifiers

PMID42068175
PMCPMC13241470

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.