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ELISA-based detection of gentamicin and vancomycin in protein-containing samples

Overview of attention for article published in SpringerPlus, October 2015
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Title
ELISA-based detection of gentamicin and vancomycin in protein-containing samples
Published in
SpringerPlus, October 2015
DOI 10.1186/s40064-015-1411-y
Pubmed ID
Authors

Jim C. E. Odekerken, Dorien M. W. Logister, Loubna Assabre, Jacobus J. C. Arts, Geert H. I. M. Walenkamp, Tim J. M. Welting

Abstract

Orthopaedic implant infections are treated by surgical debridement, systematic antibiotic treatment or local antibiotic treatment with antibiotic-loaded beads. Currently antibiotic concentrations in wound exudate, serum, urine or tissue samples are determined with HPLC or fluorescent spectrometric assays. Both methods are heavily influenced due to proteins in the samples. Is ELISA capable to detect gentamicin and vancomycin in protein-containing samples like serum and wound exudate. Two specific competitive ELISA-assays were set-up to detect either gentamicin or vancomycin in protein-rich samples. An antibiotic-BSA hapten was generated as a coatable antigen and commercially available antibodies were applied for downstream immunodetection. The developed ELISAs perform at a detection range of 2-500 ng/ml gentamycin and 20-5000 ng/ml vancomycin. Both ELISAs were capable of detecting these antibiotics in human serum and wound exudate without being compromised by the presence of proteins. We did not detect cross-reactivity for gentamicin in the vancomycin ELISA or vice versa. The antibiotic ELISAs detect gentamicin and vancomycin at low concentrations in protein-rich samples and they can be used as a high throughput and cost-effective alternative for chromatographic or fluorescent methods. These ELISAs can be used to detect very low gentamicin or vancomycin concentrations in clinical samples or assess novel orthopaedic antibiotic release systems in in vitro and in vivo studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 16%
Student > Master 4 11%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Professor 3 8%
Other 5 14%
Unknown 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 22%
Agricultural and Biological Sciences 7 19%
Medicine and Dentistry 3 8%
Chemistry 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 11%
Unknown 12 32%
Attention Score in Context

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 October 2015.
All research outputs
#20,294,248
of 22,830,751 outputs
Outputs from SpringerPlus
#1,460
of 1,850 outputs
Outputs of similar age
#234,158
of 279,238 outputs
Outputs of similar age from SpringerPlus
#98
of 127 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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