Literature DB >> 24439506

Screening for pharmaceutical transformation products formed in river sediment by combining ultrahigh performance liquid chromatography/high resolution mass spectrometry with a rapid data-processing method.

Zhe Li1, Michael P Maier2, Michael Radke3.   

Abstract

While the occurrence of pharmaceuticals in the aquatic environment has been extensively investigated, their environmental fate is less thoroughly explored. Scarce information on their transformation pathways and transformation products (TPs) limits conventional target analytical approaches. In this study, samples from water/sediment tests were analyzed by ultrahigh performance liquid chromatography interfaced with quadrupole time-of-flight mass spectrometry (UHPLC/QToF-MS). A data processing method based on peak detection, time-trend filtration and structure assignment was established to provide an efficient way for identifying the key TPs in terms of persistence; all software used for the individual steps of this method is freely available. The accurate mass and meaningful time-trends were major contributors in facilitating the isolation of plausible TP peaks. In total, 16 TPs from 9 parent pharmaceuticals were identified. Eleven out of the 16 TPs were confirmed by corresponding reference standards; no standards were available for the remaining TPs. For additional 6 potential TPs, a molecular formula was suggested but no additional structural information could be generated. Among the TPs identified in the water/sediment tests, carbamazepine-10,11-epoxide (parent: carbamazepine), saluamine (parent: furosemide), chlorothiazide and 4-amino-6-chloro-1,3-benzenedisulfonamide (parent of both: hydrochlorothiazide), and 1-naphthol (parent: propranolol) accumulated over the entire incubation period of 35 days.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  In silico data processing; Pharmaceuticals; Transformation products; Ultrahigh performance liquid chromatography/high resolution mass spectrometry; Water/sediment test

Mesh:

Substances:

Year:  2013        PMID: 24439506     DOI: 10.1016/j.aca.2013.12.012

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  5 in total

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Authors:  Hugo Olvera-Vargas; Sébastien Leroy; Michael Rivard; Nihal Oturan; Mehmet Oturan; Didier Buisson
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2.  In Silico Structure Predictions for Non-targeted Analysis: From Physicochemical Properties to Molecular Structures.

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Journal:  J Am Soc Mass Spectrom       Date:  2022-06-01       Impact factor: 3.262

3.  Bacterial Diversity Controls Transformation of Wastewater-Derived Organic Contaminants in River-Simulating Flumes.

Authors:  Malte Posselt; Jonas Mechelke; Cyrus Rutere; Claudia Coll; Anna Jaeger; Muhammad Raza; Karin Meinikmann; Stefan Krause; Anna Sobek; Jörg Lewandowski; Marcus A Horn; Juliane Hollender; Jonathan P Benskin
Journal:  Environ Sci Technol       Date:  2020-04-20       Impact factor: 9.028

4.  Transformation of organic micropollutants along hyporheic flow in bedforms of river-simulating flumes.

Authors:  Anna Jaeger; Malte Posselt; Jonas L Schaper; Andrea Betterle; Cyrus Rutere; Claudia Coll; Jonas Mechelke; Muhammad Raza; Karin Meinikmann; Andrea Portmann; Phillip J Blaen; Marcus A Horn; Stefan Krause; Jörg Lewandowski
Journal:  Sci Rep       Date:  2021-06-22       Impact factor: 4.379

5.  Non-target time trend screening: a data reduction strategy for detecting emerging contaminants in biological samples.

Authors:  Merle M Plassmann; Erik Tengstrand; K Magnus Åberg; Jonathan P Benskin
Journal:  Anal Bioanal Chem       Date:  2016-04-27       Impact factor: 4.142

  5 in total

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