152
Views
20
CrossRef citations to date
0
Altmetric
Original Articles

High-throughput enzyme-linked immunoabsorbant assay (ELISA) electrochemiluminescent detection of botulinum toxins in foods for food safety and defence purposes

&
Pages 1084-1088 | Received 21 Jun 2007, Accepted 14 Mar 2008, Published online: 16 Sep 2008
 

Abstract

Clostridum species produce seven serotypes (A–G) of botulinum toxin, four of which (A, B, E, and F) are normally associated with human illness. To date, the most reliable test for botulinum toxin is the mouse bioassay. The authors’ laboratory has been exploring the use of an antibody-based assay similar to an enzyme-linked immunoabsorbant assay (ELISA) but utilizing electrochemiluminescent technology (BioVerify® assay) as an alternative to the mouse bioassay for testing food samples. The detection limit of this assay is as low as 10 ng g−1 depending on the food matrix and the serotype detected. Detection of botulinum toxin between 10 and 200 ng g−1 is a linear curve allowing for the possibility of performing quantitative as well as qualitative testing of samples. The ease of the assay, limited sample preparation, and low detection limit make the BioVerify assay and instrument an excellent, high-throughput option for detecting botulinum toxins in food matrices.

Acknowledgements

The authors would like to thank both the American and Japanese panel of the symposium for providing an exciting and diverse symposium.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 799.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.