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Simultaneous magnetic dispersive micro solid phase extraction of valsartan and atorvastatin using CMC-coated Fe3O4 nanocomposite prior to HPLC-UV detection: Multivariate optimization

Abstract

In the current study, a sensitive, rapid, accurate and practical procedure is established for determination of atorvastatin (AT) and valsartan (VAS) together from human biological fluids by dispersive micro solid phase extraction (D-μ-SPE) combined with the high-performance liquid chromatography-ultraviolet-visible detector (HPLC-UV). The Fe3O4@carboxymethyl cellulose (Fe3O4@CMC) nanocomposite was synthesized and employed as magnetic adsorbent. The SEM, FT-IR, XRD, and VSM analytical techniques confirm the characteristics of synthesized nanoadsorbent. The extraction process was optimized by central composite design (CCD) as the most popular response surface methodology (RSM). The optimum operational conditions are found in which pH = 7.0, 50 mg of the sorbent, sorption time 13 min, desorption time 5 min, sample volume 20 mL and a mixed solvent of 0.1 mL methanol, 0.2 mL acetonitrile, and 0.2 mL formic acid (3:100, v/v) as the efficient eluent solvent. Under the optimum experimental conditions, linear dynamic ranges (LDRs), limits of detection (LODs), limits of quantitation (LOQs), enrichment factors (EFs) and relative standard deviations (RSDs) for VAS and AT were obtained to be as follow: EFs, 176 and 114; LODs, 2.4 and 2.1 µg L-1; LOQs 8.0 and 7.0 µg L-1, RSDs, 2.96 and 3.79 for AT and VAS, respectively; and LDRs, 10-2000 µg L-1. The proposed method described is successfully implemented to determine trace amounts of AT and VAS for human serum and urine matrices.

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Publication details

The article was received on 16 Jul 2019, accepted on 27 Sep 2019 and first published on 08 Oct 2019


Article type: Paper
DOI: 10.1039/C9NJ03599K
New J. Chem., 2019, Accepted Manuscript

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    Simultaneous magnetic dispersive micro solid phase extraction of valsartan and atorvastatin using CMC-coated Fe3O4 nanocomposite prior to HPLC-UV detection: Multivariate optimization

    A. Azadi and S. Ahmadi, New J. Chem., 2019, Accepted Manuscript , DOI: 10.1039/C9NJ03599K

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