| Title |
Strain-level typing and identification of bacteria – a novel approach for SERS active plasmonic nanostructures
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, June 2018
|
| DOI | 10.1007/s00216-018-1153-0 |
| Pubmed ID | |
| Authors |
Evelin Witkowska, Dorota Korsak, Aneta Kowalska, Anna Janeczek, Agnieszka Kamińska |
| Abstract |
One of the potential applications of surface-enhanced Raman spectroscopy (SERS) is the detection of biological compounds and microorganisms. Here we demonstrate that SERS coupled with principal component analysis (PCA) serves as a perfect method for determining the taxonomic affiliation of bacteria at the strain level. We demonstrate for the first time that it is possible to distinguish different genoserogroups within a single species, Listeria monocytogenes, which is one of the most virulent foodborne pathogens and in some cases contact with which may be fatal. We also postulate that it is possible to detect additional proteins in the L. monocytogenes cell envelope, which provide resistance to benzalkonium chloride and cadmium. A better understanding of this infectious agent could help in selecting the appropriate pharmaceutical product for enhanced treatment. Graphical abstract ᅟ. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 6 | 10% |
| Researcher | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 19 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 17% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Agricultural and Biological Sciences | 4 | 7% |
| Physics and Astronomy | 4 | 7% |
| Materials Science | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 22 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 July 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,543
of 9,619 outputs
Outputs of similar age
#288,300
of 328,691 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#129
of 182 outputs
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So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.