Rapid Identification of Foodborne Pathogens in Limited Resources Settings Using a Handheld Raman Spectroscopy Device
Rapid and precise methods to detect pathogens are paramount in ensuring food safety and selecting appropriate disinfection treatments. Raman spectrometry is a promising technology being investigated for detecting pathogens and achieving rapid, culture-free, and label-free methods. Nonetheless, previ...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/19/9909 |
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| author | Cid Ramon Gonzalez-Gonzalez Mark Hansen Alexandros Ch. Stratakos |
| author_facet | Cid Ramon Gonzalez-Gonzalez Mark Hansen Alexandros Ch. Stratakos |
| author_sort | Cid Ramon Gonzalez-Gonzalez |
| collection | DOAJ |
| description | Rapid and precise methods to detect pathogens are paramount in ensuring food safety and selecting appropriate disinfection treatments. Raman spectrometry is a promising technology being investigated for detecting pathogens and achieving rapid, culture-free, and label-free methods. Nonetheless, previous Raman techniques require additional steps, including the preparation of slides that could introduce significant variability. In this study, we investigated the capability of a Raman handheld device for rapid identification of monocultures of <i>Listeria monocytogenes</i>, <i>Salmonella</i> Typhimurium, <i>Escherichia coli</i> O157:H7, and <i>Staphylococcus aureus</i>, and the combination of co-cultures in BHI broth suspension by utilising principal component analysis (PCA) and support vector machine (SVM) classification of Raman spectra. The detection method accurately identified monocultures (0.93 ± 0.20), achieving good discrimination after 24 h of bacterial growth. However, the PCA–SVM system was less accurate for classifying co-cultures (0.67 ± 0.35). These results show that this method requires an isolation step followed by biomass enrichment (>8 log<sub>10</sub> CFU/mL) for accurate identification. The advantage of this technology is its simplicity and low-cost preparation, achieving high accuracy in monocultures in a shorter time than conventional culture-dependent methods. |
| first_indexed | 2024-03-09T22:02:36Z |
| format | Article |
| id | doaj.art-7476bbf2ea77461287ccc5ac630df57e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:02:36Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-7476bbf2ea77461287ccc5ac630df57e2023-11-23T19:47:39ZengMDPI AGApplied Sciences2076-34172022-10-011219990910.3390/app12199909Rapid Identification of Foodborne Pathogens in Limited Resources Settings Using a Handheld Raman Spectroscopy DeviceCid Ramon Gonzalez-Gonzalez0Mark Hansen1Alexandros Ch. Stratakos2Department of Biochemistry Engineering, Tecnológico Nacional de México Campus Acayucan, Acayucan 96100, MexicoCentre for Machine Vision, Bristol Robotics Lab, College of Arts, Technology and Environment, University of the West of England, Bristol BS16 1QY, UKCentre for Research in Biosciences, College of Health, Science and Society, University of the West of England, Bristol BS16 1QY, UKRapid and precise methods to detect pathogens are paramount in ensuring food safety and selecting appropriate disinfection treatments. Raman spectrometry is a promising technology being investigated for detecting pathogens and achieving rapid, culture-free, and label-free methods. Nonetheless, previous Raman techniques require additional steps, including the preparation of slides that could introduce significant variability. In this study, we investigated the capability of a Raman handheld device for rapid identification of monocultures of <i>Listeria monocytogenes</i>, <i>Salmonella</i> Typhimurium, <i>Escherichia coli</i> O157:H7, and <i>Staphylococcus aureus</i>, and the combination of co-cultures in BHI broth suspension by utilising principal component analysis (PCA) and support vector machine (SVM) classification of Raman spectra. The detection method accurately identified monocultures (0.93 ± 0.20), achieving good discrimination after 24 h of bacterial growth. However, the PCA–SVM system was less accurate for classifying co-cultures (0.67 ± 0.35). These results show that this method requires an isolation step followed by biomass enrichment (>8 log<sub>10</sub> CFU/mL) for accurate identification. The advantage of this technology is its simplicity and low-cost preparation, achieving high accuracy in monocultures in a shorter time than conventional culture-dependent methods.https://www.mdpi.com/2076-3417/12/19/9909portable Ramanrapid identificationfoodborne pathogenslimited-resource settings |
| spellingShingle | Cid Ramon Gonzalez-Gonzalez Mark Hansen Alexandros Ch. Stratakos Rapid Identification of Foodborne Pathogens in Limited Resources Settings Using a Handheld Raman Spectroscopy Device Applied Sciences portable Raman rapid identification foodborne pathogens limited-resource settings |
| title | Rapid Identification of Foodborne Pathogens in Limited Resources Settings Using a Handheld Raman Spectroscopy Device |
| title_full | Rapid Identification of Foodborne Pathogens in Limited Resources Settings Using a Handheld Raman Spectroscopy Device |
| title_fullStr | Rapid Identification of Foodborne Pathogens in Limited Resources Settings Using a Handheld Raman Spectroscopy Device |
| title_full_unstemmed | Rapid Identification of Foodborne Pathogens in Limited Resources Settings Using a Handheld Raman Spectroscopy Device |
| title_short | Rapid Identification of Foodborne Pathogens in Limited Resources Settings Using a Handheld Raman Spectroscopy Device |
| title_sort | rapid identification of foodborne pathogens in limited resources settings using a handheld raman spectroscopy device |
| topic | portable Raman rapid identification foodborne pathogens limited-resource settings |
| url | https://www.mdpi.com/2076-3417/12/19/9909 |
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