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Characterization of brewery wastewater with spectrofluorometry analysis
Authors:Janhom Tansiphorn  Wattanachira Suraphong  Pavasant Prasert
Institution:National Center of Excellence for Environmental and Hazardous Waste Management, Chulalongkorn University, Bangkok 10330, Thailand.
Abstract:The wastewater treatment systems from the three local breweries consist of upflow anaerobic sludge blanket (UASB) and activated sludge (AS) connected in series for which the influent and effluent from each treatment step were collected and determined for their dissolved organic matter (DOM) surrogate parameters including dissolved organic carbon (DOC), UV(254) and SUVA(254). The analyses suggested that the influent wastewater contained a high level of aromatic organic content classified as humic substances with high average molecular weight. Organic removal mostly occurred in the UASBs where DOC and UV(254) were reduced by 24-58% and 38-50%, respectively. Spectrofluorometry analysis (fluorescent excitation-emission matrix: FEEM) was reasonably accurate in evaluating DOM reduction during the treatment course. A total of eight fluorescent peaks were detected by the FEEM technique comprising (A) 230 nm(Ex)/315 nm(Em), (B) 275 nm(Ex)/315 nm(Em), (C) 230 nm(Ex)/365 nm(Em), (D) 285 nm(Ex)/365 nm(Em), (E) 290 nm(Ex)/400 nm(Em), (F) 335-355 nm(Ex)/405-465 nm(Em), (G) 255 nm(Ex)/455 nm(Em), and (H) 500 nm(Ex)/525 nm(Em). Peaks 'A and B' and 'C and D' were associated with tyrosine-like, tryptophan-like substances, respectively, whilst each individual peak E, F and G was associated with humic and fulvic acid-like substances. Peaks C, D, F and H were always found in the influent wastewater from all the breweries, whereas the effluents only exhibited Peak F. The origin of Peak H had not been recognized elsewhere and was not identified in this work. This suggested that FEEM could not only be used to monitor the reduction in DOM, but it could also provide details on the organic composition of the wastewater.
Keywords:Brewery wastewater  DOMs  UASB  AS  FEEM  Monitoring
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