Darcy, Elaine (2012) Rapid methods for the detection of anti-parasitic drugs. PhD thesis, Dublin City University.
Abstract
The benzimidazoles (BZD), thiabendazole (TBZ), triclabendazole (TCB) and albendazole
(ABZ), are veterinary agents employed for the eradication of parasitic infections in ruminant
animals. Treatment with these drugs commonly results in trace residues remaining in the food
product, thus requiring the development of tests capable of detecting below maximum
acceptable residue levels (MRLs) as determined by European legislation. This research
describes the development of novel, rapid, antibody-based methods for benzimidazole residue
detection below the required MRL.
A recombinant antibody fragment (Fab) generated from a hybridoma secreting an anti-TBZ
monoclonal antibody was utilised for the development of an ELISA for TBZ with a limit of
detection (LOD) of 2.5 ng/mL. Thee sensitivity of this Fab was improved two fold by
generation of a modified plasmid vector which converts the Fab from a mono-valent to a bivalent antibody.
An avian polyclonal antibody (pAb) was raised against TCB and ABZ. This antibody was
incorporated into competitive ELISA and Biacore-based assay with LODs for TCB in spiked
pasteurised organic milk samples of 609 and 203 pg/mL, respectively. A short chain fragment
(scFv) antibody library of 5.9 x 1011 was also constructed, bio-panned and screened for
clones specific for TCB and ABZ.
Finally, the anti-TCB IgY was incorporated into a lateral flow immunoassay (LFIA) and a
novel TCB-green fluorescent protein (GFP) LFIA assay with a detection threshold of 75-100
ng/ml of TCB in milk, which is at or below the required MRL
Metadata
Item Type: | Thesis (PhD) |
---|---|
Date of Award: | November 2012 |
Refereed: | No |
Supervisor(s): | O'Kennedy, Richard |
Uncontrolled Keywords: | Residue levels; Ruminant animals |
Subjects: | Biological Sciences > Biotechnology |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Biotechnology |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License |
ID Code: | 17173 |
Deposited On: | 19 Nov 2012 15:58 by Richard O'Kennedy . Last Modified 30 Jul 2021 14:49 |
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