A smartphone-integrated rapid and sensitive lateral flow test strip for quantitative detection of Fusarium spp. in maize samples

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dc.contributor.authorRotamporn, Saowalak
dc.contributor.authorCheubong, Chehasan
dc.contributor.authorSansenya, Sompong
dc.contributor.authorJantra, Jongjit
dc.contributor.authorTeepoo, Siriwan
dc.date.accessioned2026-08-06T10:51:04Z
dc.date.available2026-08-06T10:51:04Z
dc.date.issued2025-05-01
dc.description.abstractIn the world, maize is considered as one of the most valuable resources. Fusarium spp. are the primary soilborne plant-pathogenic fungi that can infect maize seeds and cause diseases that potentially decrease the production of crops. This study aims to develop a rapid and sensitive lateral flow test strip (LFTS) utilizing gold nanoparticles (AuNPs) for on-site detection of Fusarium spp. in maize samples. The smartphone-integrated LFTS enables the identification of Fusarium spp. within a concentration range of 0.2–1.5 nM and achieves a limit of detection (LOD) as low as 0.063 nM. The quantitative determination of the Fusarium spp. can be completed within 8 min. Maize samples were analyzed using both the LFTS and real-time polymerase chain reaction (real-time PCR). The LFTS demonstrated effective recovery in spiked samples, with values ranging from 80.1% to 101.1%. Furthermore, the real-time PCR results exhibited significant agreement with the LFTS results. Compared to the traditional real-time PCR technique, the proposed LFTS offers a sensitive, accurate, and rapid assay for the on-site detection of Fusarium spp. in maize samples.
dc.identifier.citationFood Control, 171, 2025
dc.identifier.doi10.1016/j.foodcont.2024.111115
dc.identifier.issn09567135
dc.identifier.other2-s2.0-85213563320
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/16952
dc.sourceFood Control
dc.subjectFusarium spp.
dc.subjectGold nanoparticle
dc.subjectLateral flow test strip
dc.subjectMaize sample
dc.subjectSmartphone
dc.titleA smartphone-integrated rapid and sensitive lateral flow test strip for quantitative detection of Fusarium spp. in maize samples
dc.typeArticle

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