Development of a LAMP-on-Chip Assay for Simultaneous Detection of Mealybugs and Plant Viruses
Global trade faces increasing biosecurity threats from pests like mealybugs and plant viruses, yet conventional detection methods are usually time-consuming and lab-dependent, creating an urgent need for an efficient portable platform. This study developed a microfluidic chip-based assay to simultaneously identify two mealybug species (Planococcus minor and Dysmicoccus neobrevipes) and Orthotospovirus tomatomaculae (tomato spot wilt virus, TSWV). Species-specific primers targeting conserved genetic regions (28S rRNA, internal transcribed spacer ITS, and nucleocapsid protein gene) were designed. The assay achieved a limit of detection (LOD) of 103 copies/µL (based on plasmids) and 2.30 × 10−3 ng/µL (based on real samples) for P. minor, 104 copies/µL and 1.16 × 10−2 ng/µL for D. neobrevipes, and 103 copies/µL and 2.07 × 10−2 ng/µL for TSWV, with no cross-reactivity against non-target species and good producibility both intrassay and interassay. Parallel detection was also successful with complex nucleic acid mixtures. The clinical specificity and sensitivity was 100% and 92.31%. Integrated with isothermal amplification and microfluidic pattern, the quadruple-sector chip enables on-site screening of a maximum of eight samples within 30–60 min. This rapid, sensitive, and portable tool overcomes limitations of conventional phytosanitary methods, supporting real-time customs monitoring and risk-based biosecurity measures.
Authors
- X Chen (ORCID: https://orcid.org/0000-0001-9801-0343)
- Lu Liu (ORCID: https://orcid.org/0000-0001-8023-7187)
- Jiaying Wang (ORCID: https://orcid.org/0000-0002-9720-6181)
- Guozhou Cao (ORCID: https://orcid.org/0000-0001-8238-6418)
- Junxia Cui
Institutions
- Ningbo University (CN)
- University of Nottingham Ningbo China (CN)
- Ningbo University of Technology (CN)
- Ningbo College of Health Sciences (CN)
- Ningbo Entry-Exit Inspection And Quarantine Bureau (CN)
Publication Details
- Journal
- Insects
- Published
- 2026-07-16
- DOI
- https://doi.org/10.3390/insects17070731
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ningbo Municipal Bureau of Science and Technology