کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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6289948 | 1616579 | 2015 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Short communicationRapid detection of Listeria monocytogenes in milk using confocal micro-Raman spectroscopy and chemometric analysis Short communicationRapid detection of Listeria monocytogenes in milk using confocal micro-Raman spectroscopy and chemometric analysis](/preview/png/6289948.png)
- Raman spectroscopy could detect L. monocytogenes directly from milk.
- The classification accuracies were higher than 90%.
- Analysis could be finished within a few hours without bacterial enrichment.
- Sample preparation was extremely simple.
Listeria monocytogenes is a facultatively anaerobic, Gram-positive, rod-shape foodborne bacterium causing invasive infection, listeriosis, in susceptible populations. Rapid and high-throughput detection of this pathogen in dairy products is critical as milk and other dairy products have been implicated as food vehicles in several outbreaks. Here we evaluated confocal micro-Raman spectroscopy (785Â nm laser) coupled with chemometric analysis to distinguish six closely related Listeria species, including L. monocytogenes, in both liquid media and milk. Raman spectra of different Listeria species and other bacteria (i.e., Staphylococcus aureus, Salmonella enterica and Escherichia coli) were collected to create two independent databases for detection in media and milk, respectively. Unsupervised chemometric models including principal component analysis and hierarchical cluster analysis were applied to differentiate L. monocytogenes from Listeria and other bacteria. To further evaluate the performance and reliability of unsupervised chemometric analyses, supervised chemometrics were performed, including two discriminant analyses (DA) and soft independent modeling of class analogies (SIMCA). By analyzing Raman spectra via two DA-based chemometric models, average identification accuracies of 97.78% and 98.33% for L. monocytogenes in media, and 95.28% and 96.11% in milk were obtained, respectively. SIMCA analysis also resulted in satisfied average classification accuracies (over 93% in both media and milk). This Raman spectroscopic-based detection of L. monocytogenes in media and milk can be finished within a few hours and requires no extensive sample preparation.
Journal: International Journal of Food Microbiology - Volume 204, 2 July 2015, Pages 66-74