Preparation and Characterization of New Hetrocyclic Azo Thiozal Dye Ligand and Its Use as a Reagent for Determination of Zn+۲ Ion in Drug by New Analytical Method
Publish place: Journal of Medicinal and Chemical Sciences، Vol: 6، Issue: 4
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
View: 133
This Paper With 11 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JMCH-6-4_017
تاریخ نمایه سازی: 21 آبان 1401
Abstract:
A novel heterocyclic organic ligand was synthesized by using a novel azo reagent and characterized by the organic diagnostic methods such as FT-IR, ۱H-NMR, and UV-Vis. The novel azo reagent was employed in the analytical approach to find trace levels of zinc(II) ion in several drug models. The complex was formed after studying the optimal conditions for its synthesis in a reagent: zn+۲ ratio of ۱:۱. The largest absorption peak was seen at ۶۲۰ nm in wavelength. In contrast, the reagent wavelength was ۴۷۵ nm. The linear range was between concentration and absorption at longer wavelength ranges ۰.۳ - ۲۰ mg/L. The approach has an accuracy of percent RSD ۰.۹۲۵۹ and SD =۰.۰۰۰۵. Sandal sensitivity, LOD, and LOQ are each ۰.۲۶۳۲, ۰.۸۷۷۲ g/mL, and ۰.۱۷۵۴ g.cm-۲, respectively. The impact of various positive and negative ions on complex absorption was examined to demonstrate the method's selectivity. Under the optimal pH ۶.۵ to ۷ conditions and an absorption temperature of ۲۵ to ۴۰ °C, the percentage recovery of the drug by the suggested method varied from ۹۵ to ۱۰۴ %.
Keywords:
Zn(II) Determination Organicreagent FAAS UV , VIS Spectroscopy Drug sample
Authors
Thekrayat Joodi Jassim
Department of Pathological Analysis, College of Science, University of Sumer, Thi-Qar, ۶۴۰۰۵, Iraq
Haider M. Hessoon
Department of Chemistry, College of Science, University of Al-Qadisiyah, Al-Diwaniyah, Iraq
Faiq F. Karam
Department of Chemistry, College of Science, University of Al-Qadisiyah, Al-Diwaniyah, Iraq
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 :