Development and validation of a droplet digital PCR assay for Nipah virus quantitation
These findings show that our NiV RT-ddPCR assay is exceptionally sensitive and provides a robust tool for quantitatively detecting NiV, particularly in stimulated field samples with low viral loads or complex matrices. This advancement has significant implications for early NiV monitoring, safeguarding human health and safety, and advancing animal husbandry practices.
Authors
- Xiao Han (ORCID: https://orcid.org/0000-0003-3036-8511)
- Linglin Fu (ORCID: https://orcid.org/0000-0001-5623-3047)
- Jiangbing Shuai
- Ruoxue Zeng
- Houhui Song (ORCID: https://orcid.org/0000-0001-6530-5794)
- Kexin Chen (ORCID: https://orcid.org/0000-0003-4248-7681)
- Xiaofeng Zhang (ORCID: https://orcid.org/0009-0002-8005-7092)
Institutions
- Chinese Academy of Inspection and Quarantine (CN)
- Zhejiang Entry-Exit Inspection and Quarantine Bureau (CN)
- Zhejiang Gongshang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- BMC Veterinary Research
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1186/s12917-024-04245-y
- Citations
- 8
- Primary Topic
- Virology and Viral Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.09
Funders
- National Key Research and Development Program of China