Extended Suspect and Non-Target Strategies to Characterize Emerging Polar Organic Contaminants in Raw Wastewater with LC-HRMS/MS.

An integrated workflow based on liquid chromatography coupled to a quadrupole-time-of-flight mass spectrometer (LC-QTOF-MS) was developed and applied to detect and identify suspect and unknown contaminants in Greek wastewater. Tentative identifications were initially based on mass accuracy, isotopic pattern, plausibility of the chromatographic retention time and MS/MS spectral interpretation (comparison with spectral libraries, in silico fragmentation). Moreover, new specific strategies for the identification of metabolites were applied to obtain extra confidence including the comparison of diurnal and/or weekly concentration trends of the metabolite and parent compounds and the complementary use of HILIC. Thirteen of 284 predicted and literature metabolites of selected pharmaceuticals and nicotine were tentatively identified in influent samples from Athens and seven were finally confirmed with reference standards. Thirty four nontarget compounds were tentatively identified, four were also confirmed. The sulfonated surfactant diglycol ether sulfate was identified along with others in the homologous series (SO4C2H4(OC2H4)xOH), which have not been previously reported in wastewater. As many surfactants were originally found as nontargets, these compounds were studied in detail through retrospective analysis.

[1]  Thomas Letzel,et al.  Non-target screening with high-resolution mass spectrometry: critical review using a collaborative trial on water analysis , 2015, Analytical and Bioanalytical Chemistry.

[2]  D. Barceló,et al.  LC-HRMS suspect screening for detection-based prioritization of iodinated contrast media photodegradates in surface waters. , 2015, Environmental science & technology.

[3]  Tania Portolés,et al.  Advancing towards universal screening for organic pollutants in waters. , 2015, Journal of hazardous materials.

[4]  J. Vervoort,et al.  Identification of unknown microcontaminants in Dutch river water by liquid chromatography-high resolution mass spectrometry and nuclear magnetic resonance spectroscopy. , 2014, Environmental science & technology.

[5]  H. Langenhove,et al.  Suspect screening and target quantification of multi-class pharmaceuticals in surface water based on large-volume injection liquid chromatography and time-of-flight mass spectrometry , 2014, Analytical and Bioanalytical Chemistry.

[6]  Emma L. Schymanski,et al.  Identifying small molecules via high resolution mass spectrometry: communicating confidence. , 2014, Environmental science & technology.

[7]  Emma L. Schymanski,et al.  Strategies to characterize polar organic contamination in wastewater: exploring the capability of high resolution mass spectrometry. , 2014, Environmental science & technology.

[8]  Martin Krauss,et al.  Identification of novel micropollutants in wastewater by a combination of suspect and nontarget screening. , 2014, Environmental pollution.

[9]  M. Celina Review of polymer oxidation and its relationship with materials performance and lifetime prediction , 2013 .

[10]  Heinz Singer,et al.  Alleviating the reference standard dilemma using a systematic exact mass suspect screening approach with liquid chromatography-high resolution mass spectrometry. , 2013, Analytical chemistry.

[11]  Steffen Neumann,et al.  MetFusion: integration of compound identification strategies. , 2013, Journal of mass spectrometry : JMS.

[12]  Martin Krauss,et al.  Screening of lake sediments for emerging contaminants by liquid chromatography atmospheric pressure photoionization and electrospray ionization coupled to high resolution mass spectrometry. , 2013, Environmental science & technology.

[13]  Christian Zwiener,et al.  Is nontarget screening of emerging contaminants by LC-HRMS successful? A plea for compound libraries and computer tools , 2012, Analytical and Bioanalytical Chemistry.

[14]  Jukka Pellinen,et al.  Critical evaluation of screening techniques for emerging environmental contaminants based on accurate mass measurements with time-of-flight mass spectrometry. , 2012, Journal of mass spectrometry : JMS.

[15]  K. Kümmerer,et al.  Incomplete aerobic degradation of the antidiabetic drug Metformin and identification of the bacterial dead-end transformation product Guanylurea. , 2011, Chemosphere.

[16]  C. Gagnon,et al.  Quantification of carbamazepine and atrazine and screening of suspect organic contaminants in surface and drinking waters. , 2011, Chemosphere.

[17]  B. Brownawell,et al.  Multi-residue method for the analysis of synthetic surfactants and their degradation metabolites in aquatic systems by liquid chromatography-time-of-flight-mass spectrometry. , 2011, Journal of chromatography. A.

[18]  Valery Tkachenko,et al.  Identification of “Known Unknowns” Utilizing Accurate Mass Data and ChemSpider , 2011, Journal of The American Society for Mass Spectrometry.

[19]  Markus Meringer,et al.  MS/MS Data Improves Automated Determination of Molecular Formulas by Mass Spectrometry , 2011 .

[20]  Heinz Singer,et al.  A tiered procedure for assessing the formation of biotransformation products of pharmaceuticals and biocides during activated sludge treatment. , 2010, Journal of environmental monitoring : JEM.

[21]  Heinz Singer,et al.  High-throughput identification of microbial transformation products of organic micropollutants. , 2010, Environmental science & technology.

[22]  M. Hirai,et al.  MassBank: a public repository for sharing mass spectral data for life sciences. , 2010, Journal of mass spectrometry : JMS.

[23]  Martin Krauss,et al.  LC–high resolution MS in environmental analysis: from target screening to the identification of unknowns , 2010, Analytical and bioanalytical chemistry.

[24]  Matthias Müller-Hannemann,et al.  In silico fragmentation for computer assisted identification of metabolite mass spectra , 2010, BMC Bioinformatics.

[25]  René P Schwarzenbach,et al.  Identification of transformation products of organic contaminants in natural waters by computer-aided prediction and high-resolution mass spectrometry. , 2009, Environmental science & technology.

[26]  Oliver Fiehn,et al.  Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry , 2007, BMC Bioinformatics.

[27]  C. Daughton Non-regulated water contaminants: emerging research , 2004 .

[28]  D. Scott,et al.  Optimization and testing of mass spectral library search algorithms for compound identification , 1994, Journal of the American Society for Mass Spectrometry.