Evidence map›Paper›PMID 42244332›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Ratiometric Mycotoxin Detection in Living Plants With Dual-Emissive Nanosensors.

Yuliang Li, Di Shen, Ziyang Huang, Suppanat Puangpathumanond, Calvin Thenarianto, Yue Zhao, Jolly Madathiparambil Saju, Rajani Sarojam, Dongmei Zhou, Tedrick Thomas Salim Lew

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

10 authors.

Yuliang LiDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.
Di ShenDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.
Ziyang HuangDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.
Suppanat PuangpathumanondDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.
Calvin ThenariantoDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.
Yue ZhaoDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.
Jolly Madathiparambil SajuTemasek Life Sciences Laboratory Limited, National University of Singapore, Singapore, Singapore.
Rajani SarojamTemasek Life Sciences Laboratory Limited, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-7207-2295
Dongmei ZhouState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, P. R. China.
Tedrick Thomas Salim LewDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.

Funding

Asian Institute of Modern Agronomy partnership in Singapore AIMA-2024-WP2National University of Singapore A-8001604-00-00Singapore National Research Foundation NRF-NRFF15-2023-0002
6 · The paper itself

Abstract

Early diagnosis of fungal infections in crops is essential for mitigating yield losses, yet most detection strategies rely on destructive assays that are incompatible with in situ monitoring. Among major fungal pathogens, Fusarium species pose a significant threat to global agriculture and produce the phytotoxin fusaric acid (FA), a key biomarker of early infection. Here, we develop a non-destructive, ratiometric optical nanosensor that integrates aggregation-induced emissive carbon dots within a zeolitic imidazolate framework (CD@ZIF-8) for selective FA detection in living plants. By rationally tuning the balance between dispersed and aggregated CDs within the ZIF-8 framework, we generated a dual-emissive nanosensor with distinct blue and red fluorescent signals that enable self-referencing readouts. Upon exposure to FA, interactions with CD@ZIF-8 quench the blue emission while leaving the red aggregation-induced emission stable, thereby affording highly selective ratiometric sensing. Integrating CD@ZIF-8 into plant-compatible microneedle patches enables minimally invasive sampling of plant interstitial fluid, allowing FA detection in Fusarium-infected crops before visible symptoms and discrimination from abiotic and bacterial stresses. This work establishes an integrated, self-referenced nanosensing platform for non-destructive plant diagnostics, laying the foundation for early disease surveillance in precision and climate-resilient agriculture.

Indexed as

Biosensing TechniquesFusaric AcidMycotoxinsNanotechnologyCarbon Quantum DotsFluorescent Chemosensor CompoundsFusariumFluorescent Chemosensor CompoundsFusaric AcidMycotoxinsfungi infectionmicroneedlesoptical nanosensorsplant healthplant sensors

Identifiers

PMID42244332
PMCPMC13496041

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LicenceCC BY-NC-ND
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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.