2014
DOI: 10.3390/s140101771
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Estimating the Concentration and Biodegradability of Organic Matter in 22 Wastewater Treatment Plants Using Fluorescence Excitation Emission Matrices and Parallel Factor Analysis

Abstract: This study aimed at monitoring the changes of fluorescent components in wastewater samples from 22 Korean biological wastewater treatment plants and exploring their prediction capabilities for total organic carbon (TOC), dissolved organic carbon (DOC), biochemical oxygen demand (BOD), chemical oxygen demand (COD), and the biodegradability of the wastewater using an optical sensing technique based on fluorescence excitation emission matrices and parallel factor analysis (EEM-PARAFAC). Three fluorescent componen… Show more

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Cited by 88 publications
(27 citation statements)
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“…A three-component PARAFAC model was developed for fDOM data normalized to correct for differences in overall fluorescence intensity ( Figure S4). To assess wastewater contamination, the peak fluorescence value (Fmax) for the component identified as protein-like 351 and potentially associated with anthropogenic sewage loading (C3) (λEx/λEm: 275/350 nm) 352 (Murphy et al 2011, Yang et al 2014 was extracted in the PARAFAC model. 353…”
Section: Fluorescence Spectroscopy Of Dom 348mentioning
confidence: 99%
“…A three-component PARAFAC model was developed for fDOM data normalized to correct for differences in overall fluorescence intensity ( Figure S4). To assess wastewater contamination, the peak fluorescence value (Fmax) for the component identified as protein-like 351 and potentially associated with anthropogenic sewage loading (C3) (λEx/λEm: 275/350 nm) 352 (Murphy et al 2011, Yang et al 2014 was extracted in the PARAFAC model. 353…”
Section: Fluorescence Spectroscopy Of Dom 348mentioning
confidence: 99%
“…To-date few studies have explored in-situ BOD measurement using optical surrogates, although laboratory based studies have highlighted the potential for absorbance (Comber, Gardner, & Gunn, 1996) and fluorescence based surrogates of BOD (Hudson, Baker, Ward, et al, 2008;Yang, Shin, & Hur, 2014). Xu and Xu (2015) outlined the suitability of in-situ fluorometery (Chlorophyll a, λ excitation = 460, λ emission = 685) to monitor BOD in a eutrophic lake system, although they measured the response to elevated labile OM (i.e., phytoplankton abundance) rather than determining the labile OM concentration directly.…”
Section: Introductionmentioning
confidence: 99%
“…Peak T has been found to correlate with Biochemical Oxygen Demand (BOD) in rivers (Baker and Inverarity, 2004;Hudson et al, 2008;Hur et al, 2008;Hur and Cho, 2012;Knapik et al, 2014) and sewer systems (Hur et al, 2010). Peak T also correlates with BOD and chemical oxygen demand within the sewerage treatment process (Bridgeman et al, 2013;Yang et al, 2014); and with total bacteria using flow cytometry (Bridgeman et al, 2015).…”
Section: Introductionmentioning
confidence: 97%