JoVE Visualize What is visualize?
Stop Reading. Start Watching.
Advanced Search
Stop Reading. Start Watching.
Regular Search
Find video protocols related to scientific articles indexed in Pubmed.
Development of an immunoassay for ciprofloxacin based on phage-displayed antibody fragments.
J. Immunol. Methods
PUBLISHED: 02-10-2010
Show Abstract
Hide Abstract
The widespread use of ciprofloxacin in human, animal and plant health has raised an environmental problem, paralleled by several other antibiotics. The aim of this work is the development of a rapid and sensitive ELISA assay for ciprofloxacin, which can constitute an alternative to time-consuming HPLC methods. For this purpose, we worked with antibody fragments, instead of whole antibodies, and used magnetic beads as solid support. Ciprofloxacin was successfully immobilized onto this support with a carbodiimide-mediated reaction. A library of phage particles that express human single-chain antibodies at their surface was then screened with an optimized protocol. Several positive fragments were isolated and identified as being V(L) fragments. These were then fully characterized. A reproducible competitive ELISA was developed using the magnetic beads - ciprofloxacin as support and the phages displaying the V(L) fragment as recognition entity. This assay showed limits of detection and quantification of 9.3 nM and 33 nM, respectively. Also, competitive ELISAs with ciprofloxacin homologues and other molecules showed cross-reactivities lower than 12%.
Related JoVE Video

What is Visualize?

JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.

How does it work?

We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.

Video X seems to be unrelated to Abstract Y...

In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.