2022
DOI: 10.1016/j.ijfoodmicro.2022.109682
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Development and evaluation of a novel visual and rapid detection assay for toxigenic Fusarium graminearum in maize based on recombinase polymerase amplification and lateral flow analysis

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Cited by 4 publications
(1 citation statement)
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“…Recent literature has demonstrated the successful application of RPA-based techniques in the identification of various fungal species, such as Candida albicans (Wang et al, 2021), Candida tropicalis , Candida glabrata , Cryptococcus neoformans/C. gattii (Ma et al, 2019), Aspergillus fumigatus (Li et al, 2022), and Fusarium graminearum (Lei et al, 2022;Liang et al, 2022;, thereby fulfilling the demand for rapid, specific, and highly sensitive detection within a timeframe of 20-30 min (Supplementary Table S2). However, to date, there have been no published studies investigating the use of RPA for identifying fungi belonging to the order Mucorales.…”
Section: Introductionmentioning
confidence: 99%
“…Recent literature has demonstrated the successful application of RPA-based techniques in the identification of various fungal species, such as Candida albicans (Wang et al, 2021), Candida tropicalis , Candida glabrata , Cryptococcus neoformans/C. gattii (Ma et al, 2019), Aspergillus fumigatus (Li et al, 2022), and Fusarium graminearum (Lei et al, 2022;Liang et al, 2022;, thereby fulfilling the demand for rapid, specific, and highly sensitive detection within a timeframe of 20-30 min (Supplementary Table S2). However, to date, there have been no published studies investigating the use of RPA for identifying fungi belonging to the order Mucorales.…”
Section: Introductionmentioning
confidence: 99%