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Use of fluorescence EEM to monitor the removal of emerging contaminants in full scale wastewater treatment plants.
Sgroi, Massimiliano; Roccaro, Paolo; Korshin, Gregory V; Greco, Valentina; Sciuto, Sebastiano; Anumol, Tarun; Snyder, Shane A; Vagliasindi, Federico G A.
Afiliação
  • Sgroi M; Department of Civil Engineering and Architecture, University of Catania, Viale A. Doria 6, 95125, Catania, Italy.
  • Roccaro P; Department of Civil Engineering and Architecture, University of Catania, Viale A. Doria 6, 95125, Catania, Italy.
  • Korshin GV; Department of Civil and Environmental Engineering, University of Washington, Box 352700, Seattle, WA 98195-2700, USA.
  • Greco V; Department of Chemical Science, University of Catania, Viale A. Doria 6, 95125, Catania, Italy.
  • Sciuto S; Department of Chemical Science, University of Catania, Viale A. Doria 6, 95125, Catania, Italy.
  • Anumol T; Department of Chemical and Environmental Engineering, University of Arizona, 1133 E. James E. Rogers Way, Tucson, AZ 85721, USA; Agilent Technologies Inc., 2850 Centerville Road, Wilmington, DE 19808, USA.
  • Snyder SA; Department of Chemical and Environmental Engineering, University of Arizona, 1133 E. James E. Rogers Way, Tucson, AZ 85721, USA.
  • Vagliasindi FGA; Department of Civil Engineering and Architecture, University of Catania, Viale A. Doria 6, 95125, Catania, Italy. Electronic address: fvaglias@dica.unict.it.
J Hazard Mater ; 323(Pt A): 367-376, 2017 Feb 05.
Article em En | MEDLINE | ID: mdl-27233208
ABSTRACT
This study investigated the applicability of different techniques for fluorescence excitation/emission matrices data interpretations, including peak-picking method, fluorescence regional integration and PARAFAC modelling, to act as surrogates in predicting emerging trace organic compounds (ETOrCs) removal during conventional wastewater treatments that usually comprise primary and secondary treatments. Results showed that fluorescence indexes developed using alternative methodologies but indicative of a same dissolved organic matter component resulted in similar predictions of the removal of the target compounds. The peak index defined by the excitation/emission wavelength positions (λex/λem) 225/290nm and related to aromatic proteins and tyrosine-like fluorescence was determined to be a particularly suitable surrogate for monitoring ETOrCs that had very high removal rates (average removal >70%) (i.e., triclosan, caffeine and ibuprofen). The peak index defined by λex/λem=245/440nm and the PARAFAC component with wavelength of the maxima λex/λem=245, 350/450, both identified as humic-like fluorescence, were found remarkably well correlated with ETOrCs such as atenolol, naproxen and gemfibrozil that were moderately removed (51-70% average removal). Finally, the PARAFAC component with wavelength of the maxima λex/λem=<240, 315/380 identified as microbial humic-like fluorescence was the only index correlated with the removal of the antibiotic trimethoprim (average removal 68%).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Fluorescência / Poluentes Químicos da Água / Eliminação de Resíduos Líquidos / Monitoramento Ambiental Tipo de estudo: Prognostic_studies Idioma: En Revista: J Hazard Mater Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Fluorescência / Poluentes Químicos da Água / Eliminação de Resíduos Líquidos / Monitoramento Ambiental Tipo de estudo: Prognostic_studies Idioma: En Revista: J Hazard Mater Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Itália