2015
DOI: 10.1007/s00216-015-8950-5
|View full text |Cite
|
Sign up to set email alerts
|

Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced Raman scattering

Abstract: 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 biomolecule… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
36
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 27 publications
(37 citation statements)
references
References 49 publications
1
36
0
Order By: Relevance
“…In the third approach used to obtain SERS spectra of bacteria, bacteria and colloid are mixed together [ 38 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 ]. Some researchers would obtain SERS spectra of the bacteria-colloid suspension.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…In the third approach used to obtain SERS spectra of bacteria, bacteria and colloid are mixed together [ 38 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 ]. Some researchers would obtain SERS spectra of the bacteria-colloid suspension.…”
Section: Resultsmentioning
confidence: 99%
“…Spectral features observed in SERS spectra are dependent upon the growth phase of the bacteria [ 55 , 71 ]. One study placed harvested bacteria on Ag/AAO substrates [ 55 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Pitris and Ziegler group reported a few proceedings of SERS for classifying bacterial samples as positive or negative for UTI and their antibiotic sensitivities [ 18 , 19 ]. As reported by Avci et al and Mircescu et al , UTI causative bacterial species at their different growth phases could be discriminated [ 20 , 21 ]. The SERS detection of bacteria from complex samples usually needed an enrichment such as filtration and centrifugation or using the help of magnetic nanoparticles (NPs) [ 22 ], which takes most time of analytical procedure.…”
Section: Introductionmentioning
confidence: 99%
“…UTI‐causing bacteria were discriminated by differences in their growth profiles . Here, the researchers tracked the temporal fluctuations in the SERS spectra of UTI‐causing bacteria.…”
Section: Sers‐based Detection Of Antibiotic‐resistant Bacteriamentioning
confidence: 99%