ArticleApplied and environmental microbiology2012
Raman spectroscopy as a potential tool for detection of Brucella spp. in milk.
Article in Applied and environmental microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 82 citations in OpenAlex.
- Quality Analysis and Detection of Adulterants and Contaminations in Milk/Milk Powder by Raman Spectroscopy.Comprehensive reviews in food science and food safety · 2026Review
- Lighting the Path: Raman Spectroscopy's Journey Through the Microbial Maze.Molecules (Basel, Switzerland) · 2024Article
- Unveiling the efficacy of a bulk Raman spectra-based model in predicting single cell Raman spectra of microorganisms.Heliyon · 2024Article
- Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms.Molecules (Basel, Switzerland) · 2024Review
- Species identification and strain discrimination of fermentation yeastsApplied and environmental microbiology · 2023Article
- Raman Microscopic Identification of Microorganisms on Metal Surfaces via Support Vector Machines.Microorganisms · 2022Article
- SERS Biosensor Based on Engineered 2D-Aperiodic Nanostructure for In-Situ Detection of ViableNanomaterials (Basel, Switzerland) · 2021Article
- Microbial phenomics linking the phenotype to fonction: The potential of Raman spectroscopy.Journal of microbiology (Seoul, Korea) · 2021Review
- Article
- Weighted spectral reconstruction method for discrimination of bacterial species with low signal-to-noise ratio Raman measurements.RSC advances · 2019Article
- Drug-Resistant Staphylococcus aureus Strains Reveal Distinct Biochemical Features with Raman Microspectroscopy.ACS infectious diseases · 2018Article
- Aerobiology: Experimental Considerations, Observations, and Future Tools.Applied and environmental microbiology · 2017Review
- Chemically imaging bacteria with super-resolution SERS on ultra-thin silver substrates.Scientific reports · 2017Article
- Review: Microbial analysis in dielectrophoretic microfluidic systems.Analytica chimica acta · 2017Review
- Advantages and limitations of potential methods for the analysis of bacteria in milk: a review.Journal of food science and technology · 2016Review
- Development of a bead-based Luminex assay using lipopolysaccharide specific monoclonal antibodies to detect biological threats from Brucella species.BMC microbiology · 2015Article
- Detection and discrimination of two Brucella species by multiplex real-time PCR and high-resolution melt analysis curve from human blood and comparison of results using RFLP.Iranian journal of basic medical sciences · 2015Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detection of Brucella, causing brucellosis, is very challenging, since the applied techniques are mostly time-demanding and not standardized. While the common detection system relies on the cultivation of the bacteria, further classical typing up to the biotype level is mostly based on phenotypic or genotypic characteristics. The results of genotyping do not always fit the existing taxonomy, and misidentifications between genetically closely related genera cannot be avoided. This situation gets even worse, when detection from complex matrices, such as milk, is necessary. For these reasons, the availability of a method that allows early and reliable identification of possible Brucella isolates for both clinical and epidemiological reasons would be extremely useful. We evaluated micro-Raman spectroscopy in combination with chemometric analysis to identify Brucella from agar plates and directly from milk: prior to these studies, the samples were inactivated via formaldehyde treatment to ensure a higher working safety. The single-cell Raman spectra of different Brucella, Escherichia, Ochrobactrum, Pseudomonas, and Yersinia spp. were measured to create two independent databases for detection in media and milk. Identification accuracies of 92% for Brucella from medium and 94% for Brucella from milk were obtained while analyzing the single-cell Raman spectra via support vector machine. Even the identification of the other genera yielded sufficient results, with accuracies of >90%. In summary, micro-Raman spectroscopy is a promising alternative for detecting Brucella. The measurements we performed at the single-cell level thus allow fast identification within a few hours without a demanding process for sample preparation.
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