To prove its applicability, the sensing approach was employed to develop a colorimetric biosensor for the detection of Mycobacterium bovis. M. bovis has been described as one of the main hazards of raw drinking milk in the EU, leading to more than 1,000 cases of zoonotic tuberculosis each year. More importantly, due to their slow-growth nature, the detection of pathogenic Mycobacterium species using culture methods is very time-consuming and thus extremely challenging. To date, no effective sensors have been developed to detect the presence of this bacteria in food samples, as most regulations only apply to the presence of the bacteria in the animal.
Towards this end, a binding immunoassay was implemented to select the antibody with the highest avidity for M. bovis. The selected antibody was then immobilized onto the Au NST, using thioctic acid-N-hydroxysuccinimide ester as a heterobifunctional crosslinker. This bionanoconjugate was enlarged by adding Au3+ ions to a final concentration of 10-4 M, thus restoring bare gold surfaces available for TMB oxidation. This step has resulted in the potential to reach higher sensitivity through signal amplification compared with conventional approaches. Integration of this colorimetric biosensing approach with a smartphone reader to allow the development of a semi-quantitative and user-friendly biosensor for in-field applications will also be reported
|Publication status||Published - Oct 2019|
|Event||The 9th International Symposium on Recent Advances in Food Analysis - Clarion Congress Hotel, Prague, Czech Republic|
Duration: 05 Nov 2019 → 08 Nov 2019
Conference number: 9
|Conference||The 9th International Symposium on Recent Advances in Food Analysis|
|Abbreviated title||RAFA 2019|
|Period||05/11/2019 → 08/11/2019|
FingerprintDive into the research topics of 'Retrieving Peroxidase-like Activity of Ligand-capped Gold Nanostars for the Detection of Mycobacterium bovis'. Together they form a unique fingerprint.
Gold nanostars : From catalytic and SERS properties to the development of smartphone-based and portable biosensing approaches for food contaminantsAuthor: Lou Franco, J., Jul 2022
Student thesis: Doctoral Thesis › Doctor of Philosophy