4.7 Article

Simultaneous determination of anionic and nonionic surfactants in commercial laundry wastewater and anaerobic fluidized bed reactor effluent by online column-switching liquid chromatography/tandem mass spectrometry

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 580, Issue -, Pages 1120-1128

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2016.12.068

Keywords

Linear alkylbenzene sulfonate; Linear alcohol ethoxylate; LC-MS/MS; Laundry wastewater; SPE online; Anaerobic reactor

Funding

  1. FAPESP (Fundacao de Amparo a Pesquisa do Estado de Sao Paulo) [2013/19025-3]

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This study presents a new method developed for the simultaneous determination of anionic surfactant (linear alkylbenzene sulfonate - LAS, 4 homologs) and nonionic surfactant (linear alcohol ethoxylate - LAE) in commercial laundry wastewater. The surfactants were identified and quantified using online column-switching solid phase extraction (SPE) coupled with liquid chromatography/tandem mass spectrometry (LC-MS/MS). Ten and three transitions (m/z) were identified for LAS and LAE, respectively. The detection and quantification limits were 75 and 200 mu g/L for LAS, respectively, and 75 mu g/L for LAE. This method was applied to the determination of the surfactants in the influent and effluent of an anaerobic fluidized bed reactor that was used for the treatment of commercial laundry wastewater. After 480 days of operation with a hydraulic retention time (HRT) of 18 h, the removal of 45.9 +/- 5.6% LAS and 99.2 +/- 4.3% LAE from an influent with surfactant concentrations of 26.1 +/- 12.9 mg/L and 23.8 +/- 6.8 mg/L, respectively, was obtained. Under these conditions, the breakage of longer-chain LAS homologs with the release of carbon units was observed with an increase in the number of shorter homolog chains. This SPE online sample treatment method is simple, fast and effectivefor the analysis of both surfactants. This technique is pioneering in its simultaneous measurement of two surfactant categories in anaerobic fluidized bed reactors. (C) 2016 Elsevier B.V. All rights reserved.

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