Literature DB >> 28063334

Towards interference free HPLC-SERS for the trace analysis of drug metabolites in biological fluids.

Waleed A Hassanain1, Emad L Izake2, Arumugam Sivanesan1, Godwin A Ayoko1.   

Abstract

Sofosbuvir metabolite, 2'-deoxy-2'-fluoro-2'-C-methyluridine (PSI-6206) was studied for the first time by surface enhanced Raman spectroscopy (SERS) using the paper-based SERS substrate. The quantification limit of PSI-6206 by SERS was found to be 13ngL-1 (R2 value=0.959, RSD=5.23%). For the structural and quantitative analysis of PSI-6206 in blood plasma, an interference-free HPLC-SERS method was developed and compared to HPLC-DAD and HPLC-MS methods. The SERS quantification of the drug by the paper substrate was 4 orders of magnitude more sensitive than that by the diode array detector. In addition, the SERS detection provided unique structural identification of the drug in blood plasma, similar to Mass spectroscopy detector. Due to the disposable nature of the SERS substrate, the new method does not suffer from the known "memory effect" which is known to lead to false positive identification in traditional HPLC-SERS methods. Therefore, the presented HPLC-paper SERS platform holds great potential for the sensitive and cost effective determination of drugs and their metabolites in biological fluids.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biological fluids; HPLC-SERS; Infectious diseases; PSI-6206 nucleoside; Paper SERS substrate

Mesh:

Substances:

Year:  2016        PMID: 28063334     DOI: 10.1016/j.jpba.2016.12.019

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  3 in total

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Review 2.  Detection of Foodborne Pathogens by Surface Enhanced Raman Spectroscopy.

Authors:  Xihong Zhao; Mei Li; Zhenbo Xu
Journal:  Front Microbiol       Date:  2018-06-12       Impact factor: 5.640

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Authors:  Marta Gambucci; Elena Cambiotti; Paola Sassi; Loredana Latterini
Journal:  Molecules       Date:  2020-07-28       Impact factor: 4.411

  3 in total

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