Molecularly imprinted silica gel incorporated with agarose polymer matrix as mixed matrix membrane for separation and preconcentration of sulfonamide antibiotics in water samples

TALANTA

卷:199

Article

Rozaini, Muhammad Nur' Hafiz^1,2  Semail, Nadhiratul-farihin¹  Saad, Bahruddin²  Kamaruzaman, Sazlinda³  Abdullah, Wan Nazwanie⁴  Rahim, Noorazwani Abdul⁴  Miskam, Mazidatulakmam⁴  Loh, Saw Hong⁵  Yahaya, Noorfatimah¹ 

[1] Univ Sains Malaysia, Adv Med & Dent Inst, Integrat Med Cluster, Kepala Batas 13200, Penang, Malaysia

[2] Univ Teknol Petronas, Dept Fundamental & Appl Sci, Seri Iskandar 32610, Perak Darul Rid, Malaysia

[3] Univ Putra Malaysia, Fac Sci, Dept Chem, Upm Serdang 43400, Selangor Darul, Malaysia

[4] Univ Sains Malaysia, Sch Chem Sci, Usm 11800, Penang, Malaysia

[5] Univ Malaysia Terengganu, Sch Marine & Environm Sci, Kuala Terengganu 21030, Terengganu, Malaysia

关键词: Sulfonamide antibiotics;    Molecularly imprinted silica gel;    Mixed matrix membrane;    High performance liquid chromatography;    Environmental water;   

DOI  :  10.1016/j.talanta.2019.02.096

来源: Elsevier

【 摘 要 】

Molecularly imprinted silica gel (MISG) was incorporated through dispersion in agarose polymer matrix to form a mixed matrix membrane (MMM) and was applied for the determination of three sulfonamide antibiotic compounds (i.e. sulfamethoxazole (SMX), sulfamonomethoxine (SMM), and sulfadiazine (SDZ)) from environmental water samples. Several important microextraction conditions, such as type of desorption solvent, extraction time, amount of sorbent, sample volume, pH, and effect of desorption time, were comprehensively optimized. A preconcentration factors of z 20 was achieved by the extraction of 12.5 mL of water samples using the developed method. This microextraction-HPLC method demonstrated good linearity (1-500 pg L-1) with a coefficient of determination (R2) of 0.9959-0.9999, low limits of detection (0.06-0.17 pg1..-1) and limits of quantification (0.20-0.56 pg I:1), good analyte recoveries (80-96%), and acceptable relative standard deviations ( < 10%) under the optimized conditions. The method is systematically compared to those reported in the literature.

【 授权许可】

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