Literature DB >> 30243055

A Q-TOF LC/MS method for identification and quantitation of Histamine in the antibiotic Gentamicin at ppm level: Validation and uncertainty evaluation.

Maria Cristina Gaudiano1, Luisa Valvo1, Andrea Luca Rodomonte2.   

Abstract

Adverse reactions have been reported for antibiotics produced via fermentation with fish peptone due to Histamine contamination. Just few micrograms of Histamine can result in adverse reactions when administered intravenously. Thus in this paper a new method for identification and quantitation of Histamine at ppm levels in the antibiotic Gentamicin is described. The method is based on separation of Histamine from Gentamicin and other excipients present in the drug matrix, by hydrophilic interaction liquid chromatography (HILIC) coupled to a Q-TOF/MS detector; quantitation is based on the standard addition approach. The method was validated for repeatability, inter-day precision, specificity, accuracy (relative and absolute bias) linearity, limit of detection and quantitation. Uncertainty was estimated and evaluated by comparison with values expected according to the Horwitz theory. The method showed satisfactory performances and good sensitivity, reaching a limit of quantitation of approximately 1 ppm. The method proposed can be a starting point for the development of Histamine quantitation methods in other antibiotics or even in other medicinal products which active ingredient is produced via fermentation in presence of fish peptone.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Antibiotic; Gentamicin; Histamine contamination; Liquid Chromatography; Mass Spectrometry; Uncertainty; Validation

Mesh:

Substances:

Year:  2018        PMID: 30243055     DOI: 10.1016/j.jpba.2018.09.015

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


  2 in total

1.  Development of ELISA and chemiluminescence enzyme immunoassay for quantification of histamine in drug products and food samples.

Authors:  Long Xu; Jiping Zhou; Sergei Eremin; Alberto C P Dias; Xiaoying Zhang
Journal:  Anal Bioanal Chem       Date:  2020-06-01       Impact factor: 4.142

2.  Development of an LC-MS Targeted Metabolomics Methodology to Study Proline Metabolism in Mammalian Cell Cultures.

Authors:  Agnieszka Klupczynska; Magdalena Misiura; Wojciech Miltyk; Ilona Oscilowska; Jerzy Palka; Zenon J Kokot; Jan Matysiak
Journal:  Molecules       Date:  2020-10-12       Impact factor: 4.411

  2 in total

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