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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

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2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2024, Vol. 18 Issue (9) : 113    https://doi.org/10.1007/s11783-024-1873-7
Use of DREAM to assess relative risks of presence of pharmaceuticals and personal care products from a wastewater treatment plant
Daniela M. Pampanin1(), Daniel Schlenk2, Matteo Vitale1, Pierre Liboureau1, Magne O Sydnes1
1. Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, Stavanger 224021, Norway
2. Department of Environmental Sciences, University of California Riverside, Riverside, CA 92521, USA
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Abstract

● Most prescribed PPCP concentrations were measured in WWTP influent and effluent.

● The WWTP removal efficacy was above 90% for 12 out of 22 PPCPs.

● The use of bioassays was successful in evaluating the WWTP effluent impact.

● There was no risk due to the WWTP discharge related to the 30 selected PPCPs.

● DREAM simulation provided useful info about the WWTP discharge plume distribution.

Concerns related to environmental risks associated with pharmaceuticals and personal care products (PPCPs) have led researchers to seek methods for assessing and monitoring these contaminants in the aquatic environment. Identifying and validating risk assessment tools that can evaluate ecological concerns and risks associated with PPCPs is critical. Herein, the suitability of a dose-related risk and effect assessment model, which estimates predicted environmental concentrations and allowed comparisons with predicted no effect concentrations determined, in combination with in vitro analyses of the whole effluent toxicity, was verified for the characterization of a PPCP hazard. Concentrations of the most utilized PPCPs in Norway were measured in influent and effluent samples and used to parameterize the fate model.

 Greater than 90% removal was attained for 12 out of 22 detected PPCPs. Removal was not dependent on the class or the concentration of the specific substance and varied between 12% and 100%. The PPCPs detected in the discharged wastewater were utilized to assess individual contributions to the risk of the effluent, and no risk was identified for the targeted 30 PPCP. The simulations provided valuable information regarding the discharge plume distribution over time, which can aid planning of future environmental monitoring investigations.

 Bioassays (using fish liver cells, PLHC-1) were used for assessing overall effluent toxicity, through cell viability, production of reactive oxygen species, and ethoxyresorufin-O-deethylase (EROD) activities.

 The present study may allow regulators to use risk-based strategies over removal criteria for monitoring studies and confirms the importance to take PPCP contamination into consideration when establishing environmental regulations.

Keywords Pharmaceuticals      Wastewater effluent      Ciprofloxacin      Metoprolol      Amitriptyline      Carbamazepine      Modelling      Risk assessment      Monitoring     
Corresponding Author(s): Daniela M. Pampanin   
Issue Date: 01 July 2024
 Cite this article:   
Daniela M. Pampanin,Daniel Schlenk,Matteo Vitale, et al. Use of DREAM to assess relative risks of presence of pharmaceuticals and personal care products from a wastewater treatment plant[J]. Front. Environ. Sci. Eng., 2024, 18(9): 113.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-024-1873-7
https://academic.hep.com.cn/fese/EN/Y2024/V18/I9/113
Compound Influent (ng/L) Effluent (ng/L) Removal (%) PNEC (µg/L)
Acetaminophen 83.00 < LOD 98
Acridine < LOD < LOD
Amitriptyline 4.93 6.24 −27 0.13576
Atenolol 113.80 0.60 99 150
Atorvastatin 682.30 < LOD 100
Atrazine 21.76 < LOD 99
Benzotriazole 430.27 10.89 97 19
Methyl-1H-benzotriazole 339.90 5.50 98 150
Caffeine 48066.47 69.94 100 0.1
Carbamazepine 75.92 66.92 12 2
Carbamazepine-10,11-epoxide < LOD < LOD
Chlorphenamine 0.67 < LOD 87
Ciprofloxacin 16.57 7.88 52 0.089
Diclofenac < LOD < LOD
5-Hydroxy diclofenac < LOD < LOD
Fluoxetine 7.83 < LOD 97
Ibuprofen < LOD < LOD
Losartan 6.54 13.73 −110 78
Medroxy progesterone 17-acetate < LOD < LOD
Metoprolol 465.80 388.38 17 8.6
N,N-diethyl-meta-toluamide 33.52 48.22 −44 24.68
Nortriptyline 4.45 0.42 91 0.18505
Prednisolone < LOD < LOD
Ranitidine 2.24 < LOD 95
Simvastatin 19.49 < LOD 96
Sulfadoxine < LOD < LOD
Sulfametaxazole 101.09 0.30 100 0.6
Trimetoprim 7.93 5.47 31 120
Tris (1-chloro-2-propyl) phosphate 182.58 471.44 −158 260
Warfarin < LOD < LOD
Tab.1  Chemical analysis results, mean values reported as ng/L (n = 1−3). Predicted no effect concentration (PNEC) were reported only for compounds quantified in the effluent. For compounds quantified in the influent and below limit of detection (LOD) in the effluent, the removal % was calculate using half of the LOD as effluent value
Fig.1  Cell Bioassays of influent and effluent from a Norwegian WWTP. (A) cell viability; (B) reactive oxygen species production; (C) ethoxyresorufin-O-deethylase (EROD) activity, data normalized for the control, box plot data as mean ± standard deviation, n = 7, * = p < 0.05. CTRL = solvent control group. REF = relative enrichment factor (for details see Section 2.3.5).
Fig.2  Wastewater treatment plant discharge plume distribution after (A) 10, (B) 20, and (C) 30 d of simulate continuous release. Red = 1X, yellow = 10X, green = 100X, X = dilution. The wastewater treatment plant is symbolized by the crossed white square.
Fig.3  Pie charts showing relative contributions to risk including all compounds detected in the effluent (A), excluding the caffeine contribution (B), CAF = caffein; CBZ = carbamazepine; AMT = amitriptyline; CIP = ciprofloxacin; MET = metoprolol; NTP = nortriptyline; DEET = N,N-diethyl-meta-toluamide; TCCP = Tris (1-chloro-2-propyl) phosphate.
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