Literature DB >> 26398419

Direct determination of cadmium and lead in pharmaceutical ingredients using anodic stripping voltammetry in aqueous and DMSO/water solutions.

Samuel M Rosolina1, James Q Chambers1, Carlos W Lee2, Zi-Ling Xue3.   

Abstract

A new electrochemical method has been developed to detect and quantify the elemental impurities, cadmium(II) (Cd(2+)) and lead(II) (Pb(2+)), either simultaneously or individually in pharmaceutical matrices. The electro-analytical approach, involving the use of anodic stripping voltammetry (ASV) on an unmodified glassy carbon electrode, was performed in both aqueous and in a 95/5 dimethyl sulfoxide (DMSO)/water solutions, without acid digestion or dry ashing to remove organic matrices. Limits of detection (LODs) in the μg L(-1) [or parts per billion (ppb), mass/volume] range were obtained for both heavy metals - in the presence and absence of representative pharmaceutical components. To the best of our knowledge, the work demonstrates the first analysis of heavy metals in DMSO/water solutions through ASV. The strong reproducibility and stability of the sensing platform, as well as obviation of sample pretreatment show the promise of utilizing ASV as a sensitive, robust, and inexpensive alternative to inductively-coupled-plasma (ICP)-based approaches for the analysis of elemental impurities in, e.g., pharmaceutical-related matrices.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anodic stripping voltammetry; Cadmium; DMSO solutions; Lead; Pharmaceutical ingredients/excipients; Unmodified glassy C electrode

Mesh:

Substances:

Year:  2015        PMID: 26398419     DOI: 10.1016/j.aca.2015.07.010

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  8 in total

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Authors:  Samuel M Rosolina; Stefanie A Bragg; Ruizhuo Ouyang; James Q Chambers; Zi-Ling Xue
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Journal:  Sensors (Basel)       Date:  2020-01-06       Impact factor: 3.576

8.  Highly Sensitive Whole-Cell Biosensor for Cadmium Detection Based on a Negative Feedback Circuit.

Authors:  Guangbao Zhang; Shuting Hu; Xiaoqiang Jia
Journal:  Front Bioeng Biotechnol       Date:  2021-12-03
  8 in total

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