Molecularly imprinted polymer as SPE sorbent for selective extraction of diphenylamine in surface water
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 579
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
RSTCONF01_322
تاریخ نمایه سازی: 30 آبان 1394
Abstract:
This paper describes the development of an analytical methodology to determine diphenylamine (DPA) in surface waters using molecularly imprinted polymers (MIPs) as extraction and pre-concentration material, followed by high performance liquid chromatography (HPLC). A new molecularly imprinted polymer, prepared following a non-covalent approach, was synthesised using DPA as the template molecule, methacrylic acid as functional monomer, ethylene glycol dimethacrylate as cross-linker. The imprinting effect of the polymer was verified by chromatographic evaluation. The polymer exhibited high adsorption capacity and good selective ability. A method for determination of trace DPA was developed using this polymer as enrichment sorbent coupled with high performance liquid chromatography focusing on surface water samples. Under the optimum experimental conditions, the DPA standard is linear within the concentration range studied, that is, from 0.5μg.mL-5 to 5μg.mL-5 (r2= 0.0960). Lower limits of detection (LOD) were 0.02μg.mL-5. Recoveries and relative standard deviation (RSD, n= 4) values for precision in the developed method were 01% and 5.3%. It was demonstrated that the proposed MI-SPE-HPLC method could be applied to direct determination of DPA in surface water
Keywords:
Authors
Alireza Geramizadegan
Department of Chemistry, Faculty of Science, Kerman Branch, Islamic Azad Uinversity, Kerman, Iran
Ali Asghar Amiri
Department of Applied Chemistry, Faculty of Science, Shiraz Branch, Islamic Azad Uinversity, Shiraz, Iran
Dadkhoda Ghazanfari
Department of Chemistry, Faculty of Science, Kerman Branch, Islamic Azad Uinversity, Kerman, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :