Literature DB >> 30172514

Development of an electrochemical biosensor for the determination of triglycerides in serum samples based on a lipase/magnetite-chitosan/copper oxide nanoparticles/multiwalled carbon nanotubes/pectin composite.

A Di Tocco1, S N Robledo2, Y Osuna3, J Sandoval-Cortez4, A M Granero1, N R Vettorazzi1, J L Martínez3, E P Segura3, A Iliná3, M A Zon1, F J Arévalo5, H Fernández6.   

Abstract

A very sensitive electrochemical biosensor to determine totals triglycerides (TGs) in serum samples has been developed. It is based on the electrochemical oxidation of glycerol at glassy carbon electrodes modified with magnetic nanoparticles bonded to lipase enzyme and copper oxide nanoparticles, both supported on a multiwalled carbon nanotubes/pectin dispersion. Glycerol is produced by enzymatic reaction between the TGs present in samples and the lipase immobilized. The quantification of triglycerides was performed by amperometric measurements. The proposed electrochemical biosensor improves the performance of others methods developed for the TGs quantification. The determination of TGs does not need a pretreatment of serum samples. The PLS-1 algorithm was used for the quantification of TGs. According to this algorithm, the of detection and quantification limits were from 3.2 × 10-3 g L-1 to 3.6 × 10-3 g L-1, and from 9.6 × 10-3 to 1.1 × 10-2 g L-1, respectively. The sensitivity was 1.64 × 10-6 A L g-1. The proposed electrochemical biosensor exhibited a very good performance, a stability of 20 days, very good reproducibility and repeatability, and it is presented as a very good alternative for the determination of TGs in human serum clinical samples.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Electrochemical biosensor; Lipase; Serum samples; Tryglycerides

Mesh:

Substances:

Year:  2018        PMID: 30172514     DOI: 10.1016/j.talanta.2018.07.028

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  5 in total

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Journal:  Sci Rep       Date:  2020-08-17       Impact factor: 4.379

  5 in total

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