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Development of microextraction methods for the determination of sulfamethoxazole in water and biological samples: modelling, optimization and verification by central composite design

This study aimed to preconcentration of sulfamethoxazole (SMX) in water and biological samples. Ultrasound-assisted dispersive liquid-liquid microextraction (UA-DLLME) and ultrasound-assisted dispersive solid-phase microextraction (UA-DSPME) methods paired with spectrophotometry were applied to extr...

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Published in:Frontiers in environmental science 2023-08, Vol.11
Main Authors: Amin, Issa Sheibani, Neysari, Ali Naser, Althomali, Raed H., Musad Saleh, Ebraheem Abdu, Baymakov, Sayfiddin, Radie Alawady, Ahmed Hussien, Hashiem Alsaalamy, Ali, Ramadan, Montather F., Juyal, Ashima
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creator Amin, Issa Sheibani
Neysari, Ali Naser
Althomali, Raed H.
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Hashiem Alsaalamy, Ali
Ramadan, Montather F.
Juyal, Ashima
description This study aimed to preconcentration of sulfamethoxazole (SMX) in water and biological samples. Ultrasound-assisted dispersive liquid-liquid microextraction (UA-DLLME) and ultrasound-assisted dispersive solid-phase microextraction (UA-DSPME) methods paired with spectrophotometry were applied to extraction and preconcentration of SMX. ZnFe 2 O 4 nanoparticles were prepared as adsorbent in UA-DSPME method by hydrothermal method. The scanning electron microscopy (SEM) technique showed that the adsorbent had symmetrical, bullet-shaped particles with uniform size. The results of the X-ray diffraction (XRD) showed the successful synthesis of the ZnFe 2 O 4 nanoparticles. Effective parameters in extraction, including ultrasonication time, disperser solvent volume, adsorbent amount, extraction solvent volume, eluent volume, and pH were investigated and optimized. The practical and optimal conditions of the process were determined by the central composite design (CCD). The optimal conditions were 0.024 g of adsorbent, 535 µL of disperser solvent volume, 7.5 min of ultrasonication time, 235 µL of eluent volume, pH of 5, and 185 µL of extraction solvent volume. Linear ranges and detection limits were 20–1,200 μg L −1 and 6 μg L −1 for UA-DSPME and 10–800 μg L −1 and 3 μg L −1 for UA-DLLME. Relative standard deviation (RSD) of less than 4% were obtained for UA-DSPME and UA-DLLME methods. The reusability showed that the ZnFe 2 O 4 adsorbent could extract SMX up to five cycles of adsorption/desorption without significant reduction in its efficiency. Also, interference studies showed that the presence of different cations and anions did not significantly interfere in the extraction of SMX. The outcomes of real-time samples analysis showed that the extraction of SMX for both methods was in the range of 92.44%–99.12%. The results showed the developed methods are simple, sensitive, and suitable for SMX preconcentration in environmental water and biological samples.
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Ultrasound-assisted dispersive liquid-liquid microextraction (UA-DLLME) and ultrasound-assisted dispersive solid-phase microextraction (UA-DSPME) methods paired with spectrophotometry were applied to extraction and preconcentration of SMX. ZnFe 2 O 4 nanoparticles were prepared as adsorbent in UA-DSPME method by hydrothermal method. The scanning electron microscopy (SEM) technique showed that the adsorbent had symmetrical, bullet-shaped particles with uniform size. The results of the X-ray diffraction (XRD) showed the successful synthesis of the ZnFe 2 O 4 nanoparticles. Effective parameters in extraction, including ultrasonication time, disperser solvent volume, adsorbent amount, extraction solvent volume, eluent volume, and pH were investigated and optimized. The practical and optimal conditions of the process were determined by the central composite design (CCD). The optimal conditions were 0.024 g of adsorbent, 535 µL of disperser solvent volume, 7.5 min of ultrasonication time, 235 µL of eluent volume, pH of 5, and 185 µL of extraction solvent volume. Linear ranges and detection limits were 20–1,200 μg L −1 and 6 μg L −1 for UA-DSPME and 10–800 μg L −1 and 3 μg L −1 for UA-DLLME. Relative standard deviation (RSD) of less than 4% were obtained for UA-DSPME and UA-DLLME methods. The reusability showed that the ZnFe 2 O 4 adsorbent could extract SMX up to five cycles of adsorption/desorption without significant reduction in its efficiency. Also, interference studies showed that the presence of different cations and anions did not significantly interfere in the extraction of SMX. The outcomes of real-time samples analysis showed that the extraction of SMX for both methods was in the range of 92.44%–99.12%. The results showed the developed methods are simple, sensitive, and suitable for SMX preconcentration in environmental water and biological samples.</description><identifier>ISSN: 2296-665X</identifier><identifier>EISSN: 2296-665X</identifier><identifier>DOI: 10.3389/fenvs.2023.1242730</identifier><language>eng</language><publisher>Lausanne: Frontiers Research Foundation</publisher><subject>Adsorbents ; Anions ; Antibiotics ; Biological properties ; Biological samples ; Cations ; Detection limits ; dispersive liquid-liquid microextraction ; dispersive solid-phase microextraction ; Eluents ; Environmental science ; Liquid-liquid extraction ; Nanoparticles ; Optimization ; response surface methodology ; Scanning electron microscopy ; Solid phase methods ; Solid phases ; Solvents ; Spectrophotometry ; Sulfamethoxazole ; ultrasonic-assisted extraction (UAE) ; Ultrasound ; X-ray diffraction ; Zinc ferrites</subject><ispartof>Frontiers in environmental science, 2023-08, Vol.11</ispartof><rights>2023. 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Ultrasound-assisted dispersive liquid-liquid microextraction (UA-DLLME) and ultrasound-assisted dispersive solid-phase microextraction (UA-DSPME) methods paired with spectrophotometry were applied to extraction and preconcentration of SMX. ZnFe 2 O 4 nanoparticles were prepared as adsorbent in UA-DSPME method by hydrothermal method. The scanning electron microscopy (SEM) technique showed that the adsorbent had symmetrical, bullet-shaped particles with uniform size. The results of the X-ray diffraction (XRD) showed the successful synthesis of the ZnFe 2 O 4 nanoparticles. Effective parameters in extraction, including ultrasonication time, disperser solvent volume, adsorbent amount, extraction solvent volume, eluent volume, and pH were investigated and optimized. The practical and optimal conditions of the process were determined by the central composite design (CCD). The optimal conditions were 0.024 g of adsorbent, 535 µL of disperser solvent volume, 7.5 min of ultrasonication time, 235 µL of eluent volume, pH of 5, and 185 µL of extraction solvent volume. Linear ranges and detection limits were 20–1,200 μg L −1 and 6 μg L −1 for UA-DSPME and 10–800 μg L −1 and 3 μg L −1 for UA-DLLME. Relative standard deviation (RSD) of less than 4% were obtained for UA-DSPME and UA-DLLME methods. The reusability showed that the ZnFe 2 O 4 adsorbent could extract SMX up to five cycles of adsorption/desorption without significant reduction in its efficiency. Also, interference studies showed that the presence of different cations and anions did not significantly interfere in the extraction of SMX. The outcomes of real-time samples analysis showed that the extraction of SMX for both methods was in the range of 92.44%–99.12%. The results showed the developed methods are simple, sensitive, and suitable for SMX preconcentration in environmental water and biological samples.</abstract><cop>Lausanne</cop><pub>Frontiers Research Foundation</pub><doi>10.3389/fenvs.2023.1242730</doi><oa>free_for_read</oa></addata></record>
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subjects Adsorbents
Anions
Antibiotics
Biological properties
Biological samples
Cations
Detection limits
dispersive liquid-liquid microextraction
dispersive solid-phase microextraction
Eluents
Environmental science
Liquid-liquid extraction
Nanoparticles
Optimization
response surface methodology
Scanning electron microscopy
Solid phase methods
Solid phases
Solvents
Spectrophotometry
Sulfamethoxazole
ultrasonic-assisted extraction (UAE)
Ultrasound
X-ray diffraction
Zinc ferrites
title Development of microextraction methods for the determination of sulfamethoxazole in water and biological samples: modelling, optimization and verification by central composite design
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