Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Rapid and sensitive detection of botulinum toxin type A in complex sample matrices by AlphaLisa

Bibliographic Data

ID22090071
AuthorsLiwen Zhang (0000-0002-3345-7256, Anhui Medical University), Qingyu Lv (0009-0000-3620-8522, Academy of Military Medical Sciences), Yuling Zheng (Academy of Military Medical Sciences), Shan Gao (0000-0001-7424-476X, Academy of Military Medical Sciences), Wenhua Huang (0009-0006-0504-3642, Academy of Military Medical Sciences), Peng Liu (0000-0002-8223-0007, Academy of Military Medical Sciences), Decong Kong (Academy of Military Medical Sciences), Ye Wang (0000-0001-5127-4245, Academy of Military Medical Sciences), Yunzhou Yu, Yun‐Zhou Yu (0000-0002-5124-9688, corresponding author), Yongqiang Jiang (0000-0001-8970-4570, Anhui Medical University, corresponding author), Hua Jiang (0000-0001-9347-5782, Anhui Medical University, corresponding author)
Year2022
Volume10
Pages987517-987517
Publication date2022-10-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.987517
PMID36339146
OpenAlexW4306879421
LanguageEN
References cited17

Botulinum toxin A(BoNT/A) is a neurotoxin produced by the bacteria Clostridium botulinum , which can cause serious food poisoning and is recognized as a potential biological warfare agent. BoNT/A is does not degrade easily and can remain in the complex matrix for a long time. Meanwhile, the poisonous dose of botulinum toxin exceptionally low and intravenous human lethal doses estimated at 1-3 ng/kg. Therefore, sensitive and accurate detection methods suitable for testing a wide range of complex samples are urgently needed. To this end, the “amplified luminescent proximity homogeneous assay linked immunosorbent assay” (AlphaLISA) was established for the detection of BoNT/A and its detection efficacy in plasma, beverage, food, and other complex samples was evaluated. The results showed that this method can very effectively resist matrix interference. The detection time is rapid, reaching a detection limit for all samples of up to 0.1 ng/mL in only 30 min. BoNT/A can also be accurately detected in vomit samples of patients with clinical food poisoning. This study demonstrates that AlphaLISA is an effective tool for the detection of BoNT/A in complex samples and can potentially be developed for commercial use in the future

Biology · Computational biology · Botulinum Toxin and Related Neurological Disorders · Chemistry · Computer Science · Genetic Neurodegenerative Diseases · Medicine · Neurological disorders and treatments

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae