title: Predicting trace organic compound breakthrough in granular activated carbon using fluorescence and UV absorbance as surrogates.
abstract: This study investigated the applicability of bulk organic parameters like dissolved organic carbon (DOC), UV absorbance at 254 nm (UV254), and total fluorescence (TF) to act as surrogates in predicting trace organic compound (TOrC) removal by granular activated carbon in water reuse applications. Using rapid small-scale column testing, empirical linear correlations for thirteen TOrCs were determined with DOC, UV254, and TF in four wastewater effluents. Linear correlations (R(2) > 0.7) were obtained for eight TOrCs in each water quality in the UV254 model, while ten TOrCs had R(2) > 0.7 in the TF model. Conversely, DOC was shown to be a poor surrogate for TOrC breakthrough prediction. When the data from all four water qualities was combined, good linear correlations were still obtained with TF having higher R(2) than UV254 especially for TOrCs with log Dow>1. Excellent linear relationship (R(2) > 0.9) between log Dow and the removal of TOrC at 0% surrogate removal (y-intercept) were obtained for the five neutral TOrCs tested in this study. Positively charged TOrCs had enhanced removals due to electrostatic interactions with negatively charged GAC that caused them to deviate from removals that would be expected with their log Dow. Application of the empirical linear correlation models to full-scale samples provided good results for six of seven TOrCs (except meprobamate) tested when comparing predicted TOrC removal by UV254 and TF with actual removals for GAC in all the five samples tested. Surrogate predictions using UV254 and TF provide valuable tools for rapid or on-line monitoring of GAC performance and can result in cost savings by extended GAC run times as compared to using DOC breakthrough to trigger regeneration or replacement.
authors: Department of Chemical & Environmental Engineering, University of Arizona, 1133 E James E Rogers Way, Tucson, AZ 85721, USA.
authors: Tarun
authors: T
authors: Anumol
authors: Department of Chemical & Environmental Engineering, University of Arizona, 1133 E James E Rogers Way, Tucson, AZ 85721, USA; Department of Civil Engineering and Architecture, University of Catania, Viale A. Doria 6, 95125 Catania, Italy.
authors: Massimiliano
authors: M
authors: Sgroi
authors: Department of Chemical & Environmental Engineering, University of Arizona, 1133 E James E Rogers Way, Tucson, AZ 85721, USA.
authors: Minkyu
authors: M
authors: Park
authors: Department of Chemical & Environmental Engineering, University of Arizona, 1133 E James E Rogers Way, Tucson, AZ 85721, USA; Department of Civil Engineering and Architecture, University of Catania, Viale A. Doria 6, 95125 Catania, Italy.
authors: Paolo
authors: P
authors: Roccaro
authors: Department of Chemical & Environmental Engineering, University of Arizona, 1133 E James E Rogers Way, Tucson, AZ 85721, USA; National University of Singapore, NUS Environmental Research Institute (NERI), 5A Engineering Drive 1, T-Lab Building, #02-01, Singapore 117411, Singapore. Electronic address: snyders2@email.arizona.edu.
authors: Shane A
authors: SA
authors: Snyder
mesh_terms: D002606:Charcoal / Q000737:chemistry*; D009930:Organic Chemicals / Q000737:chemistry*; D013050:Spectrometry, Fluorescence; D013056:Spectrophotometry, Ultraviolet; D014865:Waste Disposal, Fluid / Q000379:methods; D062065:Wastewater / Q000737:chemistry; D014874:Water Pollutants, Chemical / Q000032:analysis*; D018508:Water Purification / Q000379:methods*
chemical_list: D002606:Charcoal; D009930:Organic Chemicals; D062065:Wastewater; D014874:Water Pollutants, Chemical
keywords: Adsorption; Granular activated carbon; PFC; Pharmaceuticals; Real time monitoring; Trace organic compounds