2019
DOI: 10.3390/coatings9100652
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Graphene–Gold Nanostructures Hybrid Composites Screen-Printed Electrode for the Sensitive Electrochemical Detection of Vancomycin

Abstract: The most important and well-known glycopeptide antibiotic, vancomycin (VAN), is used for the treatment of severe bacterial infections like methicillin-resistant staphylococcal infections and endocarditis caused by enterococci and sepsis. Taking into account the problem of the development of antibiotic resistance as well as its toxicity, both correlated with the VAN concentration (CVAN) in biological samples, there is need for better and more accessible quantification methods for this antibiotic. Considering al… Show more

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Cited by 12 publications
(2 citation statements)
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“…Blidar et al presented VAN sensing based on graphene-gold nanocomposites. VAN is directly detected in the oxidation domain while indirectly via reduction with a 0.29 µM of DL (Blidar et al, 2019 ). Molecularly imprinted polymer (MIP) nanoparticles were also reported for the detection of VAN by using vinylferrocene and ferrocenylmethyl methacrylate in varying quantities and characterized by CV.…”
Section: Types Of Drugsmentioning
confidence: 99%
“…Blidar et al presented VAN sensing based on graphene-gold nanocomposites. VAN is directly detected in the oxidation domain while indirectly via reduction with a 0.29 µM of DL (Blidar et al, 2019 ). Molecularly imprinted polymer (MIP) nanoparticles were also reported for the detection of VAN by using vinylferrocene and ferrocenylmethyl methacrylate in varying quantities and characterized by CV.…”
Section: Types Of Drugsmentioning
confidence: 99%
“…2 Therefore, therapeutic drug monitoring of vancomycin is necessary. Various analytical methods, including high performance liquid chromatography (HPLC), [8][9][10] electrochemical detection, 11,12 immunoassay, 13,14 UV-vis spectrophotometric 15,16 and uorometric methods [17][18][19][20][21][22][23] have been employed to quantify vancomycin in biological samples.…”
Section: Introductionmentioning
confidence: 99%