Title |
Application of microwave-assisted extraction and ultra-high performance liquid chromatography–tandem mass spectrometry for the analysis of sex hormones and corticosteroids in sewage sludge samples
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Published in |
Analytical & Bioanalytical Chemistry, August 2016
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DOI | 10.1007/s00216-016-9810-7 |
Pubmed ID | |
Authors |
Rayco Guedes-Alonso, Sergio Santana-Viera, Sarah Montesdeoca-Esponda, Cristina Afonso-Olivares, Zoraida Sosa-Ferrera, José Juan Santana-Rodríguez |
Abstract |
Hormonal compounds are a concern to the international community because they can affect the aquatic biota and are therefore considered to be endocrine-disrupting compounds. These compounds have lipophilic properties, so they tend to accumulate in solid matrices, such as sewage sludge. This work presents the optimization of a microwave-assisted extraction process combined with ultra-high performance liquid chromatography-tandem mass spectrometry for the determination of 15 hormonal compounds in sludge samples. The proposed method has relative standard deviations below 23 %, good recoveries (over 71 %) for all compounds, detection limits that ranged from 1.1 to 7.9 ng g(-1) and quantification limits which ranged from 3.7 to 26.3 ng g(-1). The method was used to analyse sludge samples from four different wastewater treatment plants of Gran Canaria (Spain) with different wastewater treatments. 17β-estradiol, 17α-ethynylestradiol, norgestrel and cortisone were detected in sludge samples at concentrations that ranged from 17.3 to 1.44 × 10(3) ng g(-1). The developed method permits the use of small quantities of sample and organic solvents, presents short extractions times and is the first one based on microwave-assisted extraction for the analysis of both sex hormones and corticosteroids. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 21% |
Student > Master | 6 | 16% |
Researcher | 5 | 13% |
Student > Doctoral Student | 4 | 11% |
Student > Bachelor | 2 | 5% |
Other | 4 | 11% |
Unknown | 9 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 13 | 34% |
Biochemistry, Genetics and Molecular Biology | 4 | 11% |
Engineering | 3 | 8% |
Chemical Engineering | 2 | 5% |
Nursing and Health Professions | 1 | 3% |
Other | 2 | 5% |
Unknown | 13 | 34% |