Chapter title |
Label-Free Immuno-Sensors for the Fast Detection of Listeria in Food
|
---|---|
Chapter number | 5 |
Book title |
Microbial Toxins
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6958-6_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6956-2, 978-1-4939-6958-6
|
Authors |
Alexandra Morlay, Agnès Roux, Vincent Templier, Félix Piat, Yoann Roupioz |
Editors |
Otto Holst |
Abstract |
Foodborne diseases are a major concern for both food industry and health organizations due to the economic costs and potential threats for human lives. For these reasons, specific regulations impose the research of pathogenic bacteria in food products. Nevertheless, current methods, references and alternatives, take up to several days and require many handling steps. In order to improve pathogen detection in food, we developed an immune-sensor, based on Surface Plasmon Resonance imaging (SPRi) and bacterial growth which allows the detection of a very low number of Listeria monocytogenes in food sample in one day. Adequate sensitivity is achieved by the deposition of several antibodies in a micro-array format allowing real-time detection. This label-free method thus reduces handling and time to result compared with current methods. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 25% |
Student > Master | 2 | 25% |
Other | 1 | 13% |
Researcher | 1 | 13% |
Unknown | 2 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 25% |
Veterinary Science and Veterinary Medicine | 1 | 13% |
Nursing and Health Professions | 1 | 13% |
Engineering | 1 | 13% |
Unknown | 3 | 38% |