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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 et Sébastien Sauvé

Article de revue (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.

Sujet(s): 1000 Génie civil > 1000 Génie civil
1500 Génie de l'environnement > 1500 Génie de l'environnement
1500 Génie de l'environnement > 1501 Qualité de l'eau, pollution
Département: Département des génies civil, géologique et des mines
Centre de recherche: CIEP - Chaire industrielle en eau potable
Organismes subventionnaires: CRSNG/NSERC, Chaire industrielle en eau potable (CIEP), Canadian Foundation for Innovation/Fondation canadienne pour l'innovation
URL de PolyPublie: https://publications.polymtl.ca/4896/
Titre de la revue: Data in Brief (vol. 24)
Maison d'édition: Elsevier
DOI: 10.1016/j.dib.2019.103958
URL officielle: https://doi.org/10.1016/j.dib.2019.103958
Date du dépôt: 05 avr. 2022 16:01
Dernière modification: 07 avr. 2024 22:12
Citer en 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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