ArticleJournal of Raman spectroscopy : JRS2008
Barcoding bacterial cells: A SERS based methodology for pathogen identification.
Article in Journal of Raman spectroscopy : JRS, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Hyper-Raman spectroscopy of non-proteinogenic amino acids.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Article
- Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy Detection for Environmental Applications: A Review.Environmental science & technology · 2024Review
- Review
- SERS detection of foodborne pathogens in beverage with Au nanostars.Mikrochimica acta · 2023Article
- Identification of Four Similar Cell Culture Media According to their Glucose, Glutamine, and Pyruvate Content by Handheld Raman Spectroscopy.Pharmaceutical research · 2023Article
- Advancing Mycotoxin Detection: Multivariate Rapid Analysis on Corn Using Surface Enhanced Raman Spectroscopy (SERS).Toxins · 2023Article
- FDTD Simulations for Rhodium and Platinum Nanoparticles for UV Plasmonics.Nanomaterials (Basel, Switzerland) · 2023Article
- Machine learning using convolutional neural networks for SERS analysis of biomarkers in medical diagnostics.Journal of Raman spectroscopy : JRS · 2022Article
- Review
- Differentiation of Closely Related Oak-Associated Gram-Negative Bacteria by Label-Free Surface Enhanced Raman Spectroscopy (SERS).Microorganisms · 2021Article
- Rapid identification of pathogens by using surface-enhanced Raman spectroscopy and multi-scale convolutional neural network.Analytical and bioanalytical chemistry · 2021Article
- Article
- Present and Future of Surface-Enhanced Raman Scattering.ACS nano · 2020Article
- Surface enhanced Raman scattering artificial nose for high dimensionality fingerprinting.Nature communications · 2020Article
- Label-Free SERS Discrimination and In Situ Analysis of Life Cycle inBiosensors · 2018Article
- Surface enhanced Raman spectroscopy of Chlamydia trachomatis and Neisseria gonorrhoeae for diagnostics, and extra-cellular metabolomics and biochemical monitoring.Scientific reports · 2018Article
- Plasmonic bacteria on a nanoporous mirror via hydrodynamic trapping for rapid identification of waterborne pathogens.Light, science & applications · 2018Article
- Bioanalytical applications of surface-enhanced Raman spectroscopy:Reviews in analytical chemistry · 2017Article
- Review on SERS of Bacteria.Biosensors · 2017Review
- Semi-quantitative analysis of multiple chemical mixtures in solution at trace level by surface-enhanced Raman Scattering.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
A principal component analysis (PCA) based on the sign of the second derivative of the surface enhanced Raman spectroscopy (SERS) spectrum obtained on in-situ grown Au cluster covered SiO(2) substrates results in improved reproducibility and enhanced specificity for bacterial diagnostics. The barcode generated clustering results are systematically compared to those obtained from corresponding spectral intensities, first derivatives and second derivatives for the SERS spectra of closely related cereus group Bacillus strains. PCA plots and corresponding hierarchical cluster analysis (HCA) dendrograms illustrate the improved bacterial identification resulting from the barcode spectral data reduction. Supervised DFA plots result in slightly improved group separation but show more susceptibility to false positive classifications than the corresponding PCA contours. In addition, this PCA treatment is used to highlight the enhanced bacterial species specificity observed for SERS as compared to normal bulk (non-SERS) Raman spectra. The identification algorithm described here is critical for the development of SERS microscopy as a rapid, reagentless, portable diagnostic of bacterial pathogens.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.