Evidence map›Paper›PMID 41348230›Full record

ArticleMikrochimica acta2025

Magnetic nanocomposite-based dual-readout lateral flow biosensor for sensitive and point-of-care detection of Burkholderia gladioli pv. cocovenenans in rice and milk products.

Jingjing Yao, Junling Han, Yang Ping, Rui Du, Hongwei Liu, Libin Wan, Yeru Liu, Fayun Wang

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Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jingjing YaoInstitute of Business Science, Henan Academy of Sciences, Wenhua Road #87, Zhengzhou, 450003, Henan, PR China. yaojingjing@hnas.ac.cn.
Junling HanPeople's Hospital of Zhengzhou, People's Hospital affiliated to Henan University of Chinese Medicine, Huanghe Road #33, Zhengzhou, 450003, Henan, PR China.
Yang PingInstitute of Business Science, Henan Academy of Sciences, Wenhua Road #87, Zhengzhou, 450003, Henan, PR China.
Rui DuInstitute of Business Science, Henan Academy of Sciences, Wenhua Road #87, Zhengzhou, 450003, Henan, PR China.
Hongwei LiuInstitute of Business Science, Henan Academy of Sciences, Wenhua Road #87, Zhengzhou, 450003, Henan, PR China.
Libin WanInstitute of Business Science, Henan Academy of Sciences, Wenhua Road #87, Zhengzhou, 450003, Henan, PR China.
Yeru LiuInstitute of Business Science, Henan Academy of Sciences, Wenhua Road #87, Zhengzhou, 450003, Henan, PR China.
Fayun WangInstitute of Business Science, Henan Academy of Sciences, Wenhua Road #87, Zhengzhou, 450003, Henan, PR China.

Funding

Joint Fund of Henan Province Science and Technology RD Program 235200810028the Fundamental Research Fund of Henan Academy of Sciences 240611078the High-level Talent Research Start-up Project Funding of Henan Academy of Sciences 241811036
6 · The paper itself

Abstract

Burkholderia gladioli pv. cocovenenans (B. gladioli C.) poses a threat to consumer health, making strengthen supervision of B. gladioli C. essential. A dual-readout lateral flow biosensor was described based on the combined colorimetric and magnetic properties of polydopamine-coated Fe3O4 magnetic nanospheres (Fe3O4@PDA MNSs). The biosensor utilized a pair of monoclonal antibodies (mAb) as specific recognition module for point-of-care detection of B. gladioli C. The mAbs demonstrated a limit of detection (LOD) of 4.17 × 104 CFU mL− 1 for B. gladioli C. via sandwich ELISA. The developed Fe3O4@PDA-based lateral flow assay (LFA) utilized immunomagnetic separation and enrichment capabilities of Fe3O4@PDA-mAb probe for sample pretreatment. This assay facilitated both colorimetric and magnetic analysis modes, allowing for a visual LOD of 1.0 × 104 CFU mL− 1 and a quantitative LOD of 2.32 × 103 CFU mL− 1. Compared with the gold nanoparticles-based LFA, this method achieved an approximately ninefold increase in detection sensitivity. Moreover, the assay exhibited reliable performance with recoveries ranging from 81.0% to 103.5% in rice noodle and milk samples. The validation with a panel of 20 milk samples further confirmed its potential for application to complex matrix. These results indicated that the proposed Fe3O4@PDA-based LFA offered a practical and rapid solution for screening B. gladioli C. contaminants in food safety application.

Indexed as

Biosensing TechniquesBurkholderia gladioliMilkNanocompositesOryzaAnimalsAntibodies, ImmobilizedAntibodies, MonoclonalColorimetryFerrosoferric OxideFood ContaminationIndolesLimit of DetectionMagnetite NanoparticlesPoint-of-Care SystemsPolymersAntibodies, ImmobilizedAntibodies, MonoclonalFerrosoferric OxideIndolesMagnetite NanoparticlespolydopaminePolymersB. gladioli C. determinationColorimetric detectionDual-readout lateral flow biosensorMagnetic nanospheres (Fe3O4@PDA MNSs)Polydopamine-coated Fe3O4Rice and milk products

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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.