Selective Determination of Acidic Drugs in Water Samples Using Online Solid Phase Extraction Liquid Chromatography with Alginate Incorporated Multi-Walled Carbon Nanotubes as Extraction Sorbent
A rapid and effective method is developed for selective determination of five selected acidic drugs (salicylic acid, naproxen, diclofenac, ibuprofen and mefenamic acid) in water samples by using online solid phase extraction (Online-SPE) prior to liquid chromatography diode array detector (LC-DAD) a...
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Department of Chemistry, Universitas Gadjah Mada
2020
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oai:doaj.org-article:bf8dec45a9f94b02a48049a0a2d5f0142021-12-02T13:14:06ZSelective Determination of Acidic Drugs in Water Samples Using Online Solid Phase Extraction Liquid Chromatography with Alginate Incorporated Multi-Walled Carbon Nanotubes as Extraction Sorbent1411-94202460-157810.22146/ijc.43703https://doaj.org/article/bf8dec45a9f94b02a48049a0a2d5f0142020-07-01T00:00:00Zhttps://jurnal.ugm.ac.id/ijc/article/view/43703https://doaj.org/toc/1411-9420https://doaj.org/toc/2460-1578A rapid and effective method is developed for selective determination of five selected acidic drugs (salicylic acid, naproxen, diclofenac, ibuprofen and mefenamic acid) in water samples by using online solid phase extraction (Online-SPE) prior to liquid chromatography diode array detector (LC-DAD) analysis. In this study, Alginate incorporated multi-walled carbon nanotubes (Alg-MWCNT) beads were prepared and utilized as solid phase extraction sorbent. Optimization of online SPE-LC operating parameters such as valve switching time, composition of acetonitrile and buffer pH was conducted using Box-Behnken Design of Response Surface Methodology (RSM) to evaluate the interactive effects of these three variables. Under the optimized conditions (valve switching time: 1.5 min, composition of acetonitrile: MSA, 60:40 and buffer pH: pH 2), the method showed good linearity (1–500 μg L−1) with coefficient of determination (R2) of 0.9971–0.9996 and low limits of detection ≤ 0.018 µg L–1. The method showed high relative recoveries in the range of 75–110% for river water and tap water samples, respectively with RSDs of ≤ 7.8 (n = 3). This method was successfully applied to the determination of acidic drugs in river and tap water samples. In addition, Alg-MWCNT sorbent offered high degree of selectivity and efficiency for online SPE-LC-DAD analysis.Nurzaimah Zaini @ OthmanNor Suhaila Mohamad HanapiNor’ashikin SaimWan Nazihah Wan IbrahimAhmad Lutfi AnisDepartment of Chemistry, Universitas Gadjah Madaarticleonline spe-lcalginatemwcntsacidic drugswater samplesChemistryQD1-999ENIndonesian Journal of Chemistry, Vol 20, Iss 5, Pp 987-999 (2020) |
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online spe-lc alginate mwcnts acidic drugs water samples Chemistry QD1-999 |
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online spe-lc alginate mwcnts acidic drugs water samples Chemistry QD1-999 Nurzaimah Zaini @ Othman Nor Suhaila Mohamad Hanapi Nor’ashikin Saim Wan Nazihah Wan Ibrahim Ahmad Lutfi Anis Selective Determination of Acidic Drugs in Water Samples Using Online Solid Phase Extraction Liquid Chromatography with Alginate Incorporated Multi-Walled Carbon Nanotubes as Extraction Sorbent |
description |
A rapid and effective method is developed for selective determination of five selected acidic drugs (salicylic acid, naproxen, diclofenac, ibuprofen and mefenamic acid) in water samples by using online solid phase extraction (Online-SPE) prior to liquid chromatography diode array detector (LC-DAD) analysis. In this study, Alginate incorporated multi-walled carbon nanotubes (Alg-MWCNT) beads were prepared and utilized as solid phase extraction sorbent. Optimization of online SPE-LC operating parameters such as valve switching time, composition of acetonitrile and buffer pH was conducted using Box-Behnken Design of Response Surface Methodology (RSM) to evaluate the interactive effects of these three variables. Under the optimized conditions (valve switching time: 1.5 min, composition of acetonitrile: MSA, 60:40 and buffer pH: pH 2), the method showed good linearity (1–500 μg L−1) with coefficient of determination (R2) of 0.9971–0.9996 and low limits of detection ≤ 0.018 µg L–1. The method showed high relative recoveries in the range of 75–110% for river water and tap water samples, respectively with RSDs of ≤ 7.8 (n = 3). This method was successfully applied to the determination of acidic drugs in river and tap water samples. In addition, Alg-MWCNT sorbent offered high degree of selectivity and efficiency for online SPE-LC-DAD analysis. |
format |
article |
author |
Nurzaimah Zaini @ Othman Nor Suhaila Mohamad Hanapi Nor’ashikin Saim Wan Nazihah Wan Ibrahim Ahmad Lutfi Anis |
author_facet |
Nurzaimah Zaini @ Othman Nor Suhaila Mohamad Hanapi Nor’ashikin Saim Wan Nazihah Wan Ibrahim Ahmad Lutfi Anis |
author_sort |
Nurzaimah Zaini @ Othman |
title |
Selective Determination of Acidic Drugs in Water Samples Using Online Solid Phase Extraction Liquid Chromatography with Alginate Incorporated Multi-Walled Carbon Nanotubes as Extraction Sorbent |
title_short |
Selective Determination of Acidic Drugs in Water Samples Using Online Solid Phase Extraction Liquid Chromatography with Alginate Incorporated Multi-Walled Carbon Nanotubes as Extraction Sorbent |
title_full |
Selective Determination of Acidic Drugs in Water Samples Using Online Solid Phase Extraction Liquid Chromatography with Alginate Incorporated Multi-Walled Carbon Nanotubes as Extraction Sorbent |
title_fullStr |
Selective Determination of Acidic Drugs in Water Samples Using Online Solid Phase Extraction Liquid Chromatography with Alginate Incorporated Multi-Walled Carbon Nanotubes as Extraction Sorbent |
title_full_unstemmed |
Selective Determination of Acidic Drugs in Water Samples Using Online Solid Phase Extraction Liquid Chromatography with Alginate Incorporated Multi-Walled Carbon Nanotubes as Extraction Sorbent |
title_sort |
selective determination of acidic drugs in water samples using online solid phase extraction liquid chromatography with alginate incorporated multi-walled carbon nanotubes as extraction sorbent |
publisher |
Department of Chemistry, Universitas Gadjah Mada |
publishDate |
2020 |
url |
https://doaj.org/article/bf8dec45a9f94b02a48049a0a2d5f014 |
work_keys_str_mv |
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