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Data supporting the optimization of liquid chromatography tandem mass spectrometry conditions to analyze EPA-priority hormones and bisphenol A in water samples

Ken Goeury, Sung Vo Duy, Gabriel Munoz, Michèle Prévost and Sébastien Sauvé

Article (2019)

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Abstract

This database presents the optimization of ultra-high-performance liquid chromatography electrospray ionization tandem mass spectrometry (UHPLC-MS/MS) for the analysis of EPA-priority endocrine disruptor compounds (13 hormones and bisphenol A). Various method parameters were tested and compared for improved sensitivity. Data related to the selection of the ionization source (heated-ESI vs. APCI) are presented, including optimization results of source parameters. Compound-dependent responses when varying the UHPLC mobile phase salt concentration of ammonium fluoride (NH4F) are supplied. Details on the chromatographic gradient program and chromatographic data demonstrating the separation of alpha-estradiol and beta-estradiol are provided. In addition, we supply the details on mass spectrometry parameters under the optimized conditions, relative responses of quantification and confirmation MS/MS transitions (QT/CT), and number of points present in UHPLC-MS/MS spectra. The sample preparation and instrumental analysis procedures under the retained conditions are also described. The herein dataset supports the research "Analysis of Environmental Protection Agency priority endocrine disruptor hormones and bisphenol A in tap, surface and wastewater by online concentration liquid chromatography tandem mass spectrometry" Goeury et al., 2019.

Subjects: 1000 Civil engineering > 1000 Civil engineering
1500 Environmental engineering > 1500 Environmental engineering
1500 Environmental engineering > 1501 Water quality, pollution
Department: Department of Civil, Geological and Mining Engineering
Research Center: CIEP - Industrial Chair on Drinking Water
Funders: CRSNG/NSERC, Chaire industrielle en eau potable (CIEP), Canadian Foundation for Innovation/Fondation canadienne pour l'innovation
PolyPublie URL: https://publications.polymtl.ca/4896/
Journal Title: Data in Brief (vol. 24)
Publisher: Elsevier
DOI: 10.1016/j.dib.2019.103958
Official URL: https://doi.org/10.1016/j.dib.2019.103958
Date Deposited: 05 Apr 2022 16:01
Last Modified: 15 May 2023 20:18
Cite in APA 7: Goeury, K., Vo Duy, S., Munoz, G., Prévost, M., & Sauvé, S. (2019). Data supporting the optimization of liquid chromatography tandem mass spectrometry conditions to analyze EPA-priority hormones and bisphenol A in water samples. Data in Brief, 24, 103958 (9 pages). https://doi.org/10.1016/j.dib.2019.103958

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