| Publication type: |
 |
Article in peer-reviewed journal |
|
| Title: |
|
Identification of foodborne pathogens within food matrices by IR spectroscopy |
|
| Author(s): |
|
Marie-Laure Brandily ( ), Valérie Monbet () 1, B. Bruneau, C. Boussard-Pledel 2, O. Loreal, Jean-Luc Adam 2, O. Sire 3 |
|
| Laboratory: |
|
|
|
| Research team: |
|
Statistique |
| Abstract: |
|
Fiber evanescent wave spectroscopy (FEWS) was used to classify various foodborne pathogens (Listeria monocytogenes, Staphylococcus aureus and Salmonella enteritidis) using chemometric methods such as principal component analysis (PCA) and logistic-partial least squares (logistic-PLS). Spectra were recorded thanks to an IR optical fiber made of chalcogenide glasses. A limited segregation between the healthy and non healthy food has been observed using the PCA method, whereas a clear differentiation between bacteria strains was obtained using the PLS regression. FEWS coupled to chemometric methods is a promising technique for the identification of foodborne pathogens as it could provide a rapid identification and classification of the bacteria. |
|
| Fulltext language: |
|
English |
|
|
| Journal: |
|
| Sensors and Actuators B: Chemical |
| Publisher |
Elsevier |
| ISSN |
0925-4005 |
|
|
| Audience: |
|
international |
|
| Publication date: |
|
2011 |
|
| Volume: |
|
160 |
|
| Issue: |
|
1 |
|
| Page, identifiant, ...: |
|
202-206 |
|
|
| Keyword(s): |
|
Food pathogens – IR optical fiber – FEWS – Classification – PCA – PLS |
|
|
Export this paper
