TY - JOUR
T1 - Metoprolol and metoprolol acid degradation in UV/H2O2 treated wastewaters
T2 - An integrated screening approach for the identification of hazardous transformation products
AU - Jaén-Gil, Adrián
AU - Buttiglieri, Gianluigi
AU - Benito, Aleix
AU - Gonzalez-Olmos, Rafael
AU - Barceló, Damià
AU - Rodríguez-Mozaz, Sara
N1 - Funding Information:
This work has been funded by the Spanish Ministry of Economy and Competitiveness (projects CTM 2013 48545-C2-1-R and CTM2017-85385-C2-1-R) and partly supported by the Generalitat de Catalunya (Consolidated Research Groups 2017-SGR-14, 2017-SGR-1404, 2017-SGR-1124, 2017-SGR-1318 and 2017-SGR-1016). S.R.M and R.G.O acknowledge the ?Redes de Excelencia 2015? program (CTM2015-71054-REDT). S.R.M and G.B. acknowledge the Ramon y Cajal research fellowships (RYC-2014-16707 and RYC-2014-16754) from the Spanish Ministry of Economy and Competitiveness. A.J.G. acknowledges the predoctoral grant from AGAUR (2018FI_B1_00212). R.G.O thanks to ?Obra Social La Caixa? for receiving funding to carry out this research through the Intensification Research Fellowship 2017-URL-IR2Q-023. We would like to thank Sant Joan de D?u Hospital staff for their collaboration during the sampling campaign. We also thank to Thermo Scientific and Marie-Pierre Pavageau for providing us the technical support using Compound Discoverer 2.0 software.
Funding Information:
This work has been funded by the Spanish Ministry of Economy and Competitiveness (projects CTM 2013 48545-C2-1-R and CTM2017-85385-C2-1-R) and partly supported by the Generalitat de Catalunya (Consolidated Research Groups 2017-SGR-14, 2017-SGR-1404, 2017-SGR-1124, 2017-SGR-1318 and 2017-SGR-1016). S.R.M and R.G.O acknowledge the “Redes de Excelencia 2015″ program (CTM2015-71054-REDT). S.R.M and G.B. acknowledge the Ramon y Cajal research fellowships (RYC-2014-16707 and RYC-2014-16754) from the Spanish Ministry of Economy and Competitiveness. A.J.G. acknowledges the predoctoral grant from AGAUR ( 2018FI_B1_00212 ). R.G.O thanks to “Obra Social La Caixa” for receiving funding to carry out this research through the Intensification Research Fellowship 2017-URL-IR2Q-023. We would like to thank Sant Joan de Déu Hospital staff for their collaboration during the sampling campaign. We also thank to Thermo Scientific and Marie-Pierre Pavageau for providing us the technical support using Compound Discoverer 2.0 software.
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/12/15
Y1 - 2019/12/15
N2 - Advancements on analytical strategies to determine the chemicals present in treated wastewater are necessary to clearly link their occurrence with the ecotoxicity of such effluents. This study describes the development of an integrated screening approach to determine the highest number of pharmaceutical transformation products (TPs) in a single run. The identification of TPs was based on the comparison of detected features with literature sources, compound prediction tools, in-house libraries and reference standards using high-resolution mass spectrometry (HRMS). This integrated approach allowed a better estimation (in silico) of the ecotoxicological contribution of the individual TPs identified. As a proof of concept, this methodology was applied for identification of the TPs generated from metoprolol and its main human metabolite (metoprolol acid) in pure water, hospital wastewater and industrial wastewater treated by UV/H2O2. Twenty-four TPs with potential ecotoxicological implications were identified and their presence was pinpointed as a function of the treated wastewater. An integrated screening approach has been developed using four different screening methodologies in the same run. Additionally, the metabolite MTPA has been considered as a target pollutant in UV/H2O2 experiments.
AB - Advancements on analytical strategies to determine the chemicals present in treated wastewater are necessary to clearly link their occurrence with the ecotoxicity of such effluents. This study describes the development of an integrated screening approach to determine the highest number of pharmaceutical transformation products (TPs) in a single run. The identification of TPs was based on the comparison of detected features with literature sources, compound prediction tools, in-house libraries and reference standards using high-resolution mass spectrometry (HRMS). This integrated approach allowed a better estimation (in silico) of the ecotoxicological contribution of the individual TPs identified. As a proof of concept, this methodology was applied for identification of the TPs generated from metoprolol and its main human metabolite (metoprolol acid) in pure water, hospital wastewater and industrial wastewater treated by UV/H2O2. Twenty-four TPs with potential ecotoxicological implications were identified and their presence was pinpointed as a function of the treated wastewater. An integrated screening approach has been developed using four different screening methodologies in the same run. Additionally, the metabolite MTPA has been considered as a target pollutant in UV/H2O2 experiments.
KW - Advanced oxidation processes
KW - Hazard assessment
KW - Metoprolol
KW - Metoprolol acid
KW - Suspect screening
UR - http://www.scopus.com/inward/record.url?scp=85069579888&partnerID=8YFLogxK
U2 - 10.1016/j.jhazmat.2019.120851
DO - 10.1016/j.jhazmat.2019.120851
M3 - Article
C2 - 31326839
AN - SCOPUS:85069579888
SN - 0304-3894
VL - 380
JO - Journal of Hazardous Materials
JF - Journal of Hazardous Materials
M1 - 120851
ER -