Mixed Coagulant-flocculant Optimization for Pharmaceutical Effluent Pretreatment Using Response Surface Methodology and Gaussian Process Regression

Tahraoui, Hichem; Belhadj, Abd-Elmouneïm; Triki, Zakaria; Boudella, Nihel Rayen; Seder, Sarah; Amrane, Abdeltif; Zhang, Jie; Moula, Nassim; Tifoura, Amina; Ferhat, Radhia; Bousselma, Abla; Mihoubi, Nadia

doi:10.1016/j.psep.2022.11.045

Article (Scientific journals)

Mixed Coagulant-flocculant Optimization for Pharmaceutical Effluent Pretreatment Using Response Surface Methodology and Gaussian Process Regression

Tahraoui, Hichem; Belhadj, Abd-Elmouneïm; Triki, Zakaria et al.

2023 • In Process Safety and Environmental Protection

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/296718

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10.1016/j.psep.2022.11.045

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Keywords :

Safety, Risk, Reliability and Quality; General Chemical Engineering; Environmental Chemistry; Environmental Engineering

Abstract :

[en] Wastewater from the Antibiotical-Saidal pharmaceutical plant (Medéa) was pretreated by coagulation-flocculation using copper sulfate (CuSO4), iron chloride (FeCl3), and mixture of the two salts combined in a 1:1 (v/v) ratio in the present study. Response surface methodology (RSM) was used to optimize pH and coagulant dosage as independent variables, while dissolved organic carbon (DOC), absorbance at 254 nm (UV 254), and turbidity were provided as dependent variables in the central composite design (CCD). Then, the databases of the three treatments were combined in a single database to create a general model valid for the three treatments at the same time, and to predict the reduction rates of DOC, UV254, and turbidity, using the Gaussian process regression coupled with the dragonfly optimization algorithm (GPR-DA). To have the best model obtained between RMS and GPR-DA, an experimental validation was carried out after having had the optimal conditions of each type of coagulant, using the multi-objective optimization technique. The results of the experimental validation show the superiority of the GPR-DA model compared to the RSM model. Also, the results show that the mixed coagulant (CuSO4+ FeCl3) obtain better results than CuSO4 or FeCl3 alone with a treatment efficiency equal to 92.68% at pH = 5 and dosage = 600 mg/L, and the reductions in DOC, UV 254 and turbidity are 97.32%, 82.90% and 96.47%, respectively.

Disciplines :

Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others

Author, co-author :

Tahraoui, Hichem

Belhadj, Abd-Elmouneïm

Triki, Zakaria

Boudella, Nihel Rayen

Seder, Sarah

Amrane, Abdeltif

Zhang, Jie

Moula, Nassim ; Université de Liège - ULiège > Département des sciences biomédicales et précliniques > Méthodes expérimentales des animaux de laboratoire et éthique en expérimentation animale

Tifoura, Amina

Ferhat, Radhia

Bousselma, Abla

Mihoubi, Nadia

Language :

English

Title :

Mixed Coagulant-flocculant Optimization for Pharmaceutical Effluent Pretreatment Using Response Surface Methodology and Gaussian Process Regression

Publication date :

January 2023

Journal title :

Process Safety and Environmental Protection

ISSN :

0957-5820

eISSN :

1744-3598

Publisher :

Elsevier BV

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S0957582022010102?httpAccept=text/xml

Available on ORBi :

since 25 November 2022

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