Evidence map›Paper›PMID 41772313›Full record

ArticleMikrochimica acta2026

Integrated on-site detection of Fusarium temperatum based on a droplet digital CRISPR-based platform.

Yingchun Li, Zequan Ye, Chenfei Zhao, Yunyun Tan, Jianai Chen, Zhina Wu, Yaqin Zhang, Hangyu Guo, Yuan Cheng, Rui Wang and 2 more

Abstract read
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In one paragraph

Article in Mikrochimica acta, 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
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

12 authors.

Yingchun LiSchool of Life Sciences, Jilin University, Changchun, 130012, China.
Zequan YeGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China.
Chenfei ZhaoSchool of Life Sciences, Jilin University, Changchun, 130012, China.
Yunyun TanEngineering Research Center of Chinese Ministry of Education for Edible and Medicinal Fungi, Jilin Agricultural University, Changchun, 130118, China.
Jianai ChenSchool of Life Sciences, Jilin University, Changchun, 130012, China.
Zhina WuDepartment of Orthodontics, Hospital of Stomatology, Jilin University, Changchun, 130012, China.
Yaqin ZhangSchool of Life Sciences, Jilin University, Changchun, 130012, China.
Hangyu GuoSchool of Life Sciences, Jilin University, Changchun, 130012, China.
Yuan ChengDepartment of Hepatobiliary Surgery II, General Surgery Center, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510220, China. chengyuan9226@sohu.com.
Rui WangDepartment of Physics and Astronomy, University of Manchester, Manchester, M13 9PL, UK. rui.wang-4@manchester.ac.uk.
Jiasi WangGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China. wangjs8@mail.sysu.edu.cn.
Di WangSchool of Life Sciences, Jilin University, Changchun, 130012, China. jluwangdi@outlook.com.

Funding

Guangdong Basic and Applied Basic Research 2024A1515011281Technology Research and Development Project from the Development and Reform Commission in Jilin Province of China 2023C043-5, 2022C044-9
6 · The paper itself

Abstract

Fusarium temperatum (F. temperatum) is a fungus whose infection can cause various diseases in maize plants, leading to premature death, and F. temperatum mycotoxin poses a serious threat to human and animal health. Rapid and early on-site detection of F. temperatum infection facilitates the prevention of disease progression, which is an unmet need. In this study, a droplet digital CRISPR-Cas12a-based platform (DD-Cas), combined with a rapid extraction procedure, was developed for amplification-free on-site detection of F. temperatum. The DD-Cas assay can rapidly detect F. temperatum genomic DNA in infected maize samples with high sensitivity (102 CFU/mL) and specificity. Furthermore, we developed a smartphone-based fluorescence microscope integrating the heating module, that could accurately detect infected samples within 30 min, enabling low-cost point-of-care testing (POCT). This platform can avoid cross-contamination and amplification bias, thus having great potential for on field detection of pathogenic bacteria in agriculture.

Indexed as

CRISPR-Cas SystemsFusariumDNA, FungalMicroscopy, FluorescenceRapid Diagnostic TestsSmartphoneZea maysDNA, Fungal28s rDNACRISPR-Cas12aDroplet digital assayFusarium temperatumSmartphone-based fluorescence microscopy

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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.