4.6 Article

Super-porous semi-interpenetrating polymeric composite prepared in straw for micro solid phase extraction of antibiotics from honey, urine and wastewater

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1631, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.chroma.2020.461576

Keywords

Cryogel; Semi-interpenetrating polymer network; mu-Solid phase extraction; Antibiotic residues; Honey

Funding

  1. Research Council of Sharif University of Technology (SUT), Tehran-Iran [G940603]
  2. Graduates School of Sharif University of Technology (SUT), Tehran-Iran

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A cryogel-based semi-interpenetrating polymer network (Cryo-SIPN) was prepared in which conductive polymers such as polyaniline (PANI) and polypyrrole (PPy) were formed within the super porous network of acrylic acid cryogel. For completion of cryo-polymerization, all the constituent solutions were severely mixed and placed into the plastic straws and kept at -20 degrees C and then the synthesized cyrogels were cut into the 1-cm length and freeze dried after washing with water. The Cryo-SIPN polymeric composite was applied in micro solid phase extraction (mu SPE) of some selected antibiotic residues from various samples. The mu SPE method combined with a high performance liquid chromatography-ultraviolet (HPLC-UV) system allowed trace quantification of antibiotic residues in the honey and water samples while the significant variables were optimized using a central composite design (CCD) to find optimum conditions. The method performance was satisfactory with recovery ranges from 70.0 to 109%. The limits of detection (S/N = 3) and quantification (S/N = 10) for all samples were within the 17-50 mu g kg(-1) and 47-140 mu g kg(-1) range, respectively. The relative standard deviation was less than 10 % for antibiotics in the foodstuff and water samples. The validated Cryo-SIPN-mu SPE in conjunction with HPLC-UV, proved to be versatile, efficient and robust while its capability toward the trace determination of drugs residues in real-life samples is demonstrated in this work. (C) 2020 Elsevier B.V. All rights reserved.

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