Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced raman scattering
Analytical and Bioanalytical Chemistry, ISSN: 1618-2650, Vol: 407, Issue: 27, Page: 8233-8241
2015
- 30Citations
- 35Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations30
- Citation Indexes29
- 29
- CrossRef11
- Patent Family Citations1
- Patent Families1
- Captures35
- Readers35
- 35
Article Description
Urinary tract infection (UTI) is a widespread infection and affects millions of people around the globe. The gold standard for identification of microorganisms causing infection is urine culture. However, current methods require at least 24 h for the results. In clinical settings, identification and discrimination of bacteria with less time-consuming and cheaper methods are highly desired. In recent years, the power of surface-enhanced Raman scattering (SERS) for fast identification of bacteria and biomolecules has been demon-strated. In this study, we show discrimination of urinary tract infection causative pathogens within 1 h of incubation using principal component analysis (PCA) of SERS spectra of seven different UTI causative bacterial species. In addition, we showed differentiation of them at their different growth phases. We also analyzed origins of bacterial SERS spectra and demonstrated the highly dynamic structure of the bacteria cell wall during their growth.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85027947380&origin=inward; http://dx.doi.org/10.1007/s00216-015-8950-5; http://www.ncbi.nlm.nih.gov/pubmed/26297460; http://link.springer.com/10.1007/s00216-015-8950-5; https://dx.doi.org/10.1007/s00216-015-8950-5; https://link.springer.com/article/10.1007/s00216-015-8950-5
Springer Science and Business Media LLC
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