Adsorption of Alizarin Red S Dye on Raw Endoskeleton Nanopowder of Cuttlefish (Sepia Pharaonis) from Water Solutions: Mechanism, Kinetics and Equilibrium Modeling
Publish place: Journal of Water and Wastewater، Vol: 32، Issue: 5
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: Persian
View: 180
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_WWJ-32-5_001
تاریخ نمایه سازی: 27 بهمن 1400
Abstract:
The potential of the raw cuttlebone nano-powder (CBNP), a biomass waste, as a novel and nontoxic adsorbent for the adsorption of Alizarin Red S (ARS) from water solutions was investigated. To achieve the highest efficiency for the removal of ARS, some affecting factors were optimized. Common techniques (FTIR, FESEM, EDX and XRF) were used to characterize the physicochemical features of the adsorbent. Various kinetic and isotherm models were used to obtain the useful information about the adsorption mechanism of the dye onto the adsorbent. The maximum dye removal efficiency was obtained with the adsorbent amount of ۵۰۰ mg (in ۵۰ mL) and initial pH of ۲ in ۱۰ min for ۲۰ mg/L ARS solution. Under these optimum conditions the complete removal of ARS was obtained while the maximum adsorption capacity was ۳۸.۵۱ mg/g. The well fitness of pseudo-second order kinetic model in the adsorption process was proved by kinetic studies. According to the obtained results, Freundlich isotherm model can suitably describe the adsorption of ARS on the sorbent. The achieved results from this study showed the excellent capability of CBNP for the adsorption of ARS.
Keywords:
Authors
نادره رهبر
Prof., Marine Pharmaceutical Science Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
کورش طباطبایی
Pharm. D., Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
زهرا رمضانی
Prof., Nanotechnology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, 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 :