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Removal of two antidepressant active pharmaceutical ingredients from hospital wastewater by polystyrene-coated magnetite nanoparticles-assisted batch adsorption process.

Authors :
Bozyiğit GD
Zaman BT
Özdemir OK
Kılınç Y
Chormey DS
Bakırdere S
Engin GO
Source :
Environmental monitoring and assessment [Environ Monit Assess] 2023 Dec 22; Vol. 196 (1), pp. 77. Date of Electronic Publication: 2023 Dec 22.
Publication Year :
2023

Abstract

This study employed simple polystyrene-coated magnetite nanoparticles (PS@MNPs)-assisted batch adsorption process for the removal of two antidepressant active ingredients (amitriptyline HCl and sertraline HCl) from hospital wastewater. Dominant parameters of the adsorption process including pH, adsorbent amount, and contact period were optimized through the univariate approach to enhance the adsorption efficiency. Upon reaching optimum adsorption conditions, equilibrium experiments were performed by spiking the adsorbates in hospital wastewater in the concentration range of 100-2000 μg/L. The concentrations of the adsorbates in the effluent were calculated using the matrix-matching calibration strategy to enhance the accuracy of quantification. A validated switchable solvent-based liquid phase microextraction (SS-LPME) method was employed to enrich the two active pharmaceutical ingredients (APIs) prior to sensitive determination with GC-MS (gas chromatography-mass spectrometry). The equilibrium data were mathematically modeled employing the Langmuir and Freundlich adsorption isotherm models. The isotherm constants were calculated, and the results showed that both the isotherm models fitted well with the experimental data. The efficient and simple batch adsorption strategy reported in this study was successfully employed to remove amitriptyline HCl and sertraline HCl from hospital wastewater at low concentrations.<br /> (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Details

Language :
English
ISSN :
1573-2959
Volume :
196
Issue :
1
Database :
MEDLINE
Journal :
Environmental monitoring and assessment
Publication Type :
Academic Journal
Accession number :
38135867
Full Text :
https://doi.org/10.1007/s10661-023-12231-4