↓ Skip to main content

Detection of stanozolol in environmental waters using liquid chromatography tandem mass spectrometry

Overview of attention for article published in BMC Chemistry, October 2011
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
26 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Detection of stanozolol in environmental waters using liquid chromatography tandem mass spectrometry
Published in
BMC Chemistry, October 2011
DOI 10.1186/1752-153x-5-63
Pubmed ID
Authors

Nawed IK Deshmukh, James Barker, Andrea Petroczi, Declan P Naughton

Abstract

Owing to frequent administration of a wide range of pharmaceutical products, various environmental waters have been found to be contaminated with pharmacologically active substances. For example, stanozolol, a synthetic anabolic steroid, is frequently misused for performance enhancement as well as for illegal growth promoting purposes in veterinary practice. Previously we reported stanozolol in hair samples collected from subjects living in Budapest. For this reason we initiated this study to explore possible environmental sources of steroid contamination. The aim of this study was to develop a method to monitor stanozolol in aqueous matrices using liquid chromatography tandem mass spectrometry (LC-MS/MS).

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Italy 1 4%
Unknown 24 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Researcher 5 19%
Student > Master 4 15%
Professor 2 8%
Student > Bachelor 2 8%
Other 2 8%
Unknown 5 19%
Readers by discipline Count As %
Environmental Science 6 23%
Chemistry 6 23%
Agricultural and Biological Sciences 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Nursing and Health Professions 1 4%
Other 5 19%
Unknown 4 15%