Batch Biosorption of Pb2+ ions from Aqueous Solution by Alkaline Pretreated Orange Residue
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
View: 614
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
EAMS01_447
تاریخ نمایه سازی: 19 تیر 1394
Abstract:
A batch adsorption method was applied to study the adsorption of Pb2+ ions from aqueous solution by alkaline treated orange peel. Effect of initial lead concentration, contact time, pH of solution, temperature, adsorbent dose and particle size were also investigated. A strong dependence of adsorption capacity on pH was observed as the capacity increased with increasing pH from 2 to 5.5. The amount of orange peel has a specified role in the adsorption rate and removal efficiency, adsorption rate is increased as orange peel increased from 1 to 2 g l-1 but it hadn’t sensible change from 2 g l-1 to 4 g l-1. The maximum Pb2+ removal efficiency was 99.8% at pH 5.5 with a contact time 25 min and 2 g l-1 treated orange peel. Adsorption of lead was found to fix with increasing temperature. The kinetic data were analyzed using first order and second order kinetic model. Results show that the second order kinetic model was found to agree well with the experimental data. Equilibrium isotherm data were tested using two models-Freundlich and Langmuir. Equilibrium data agree well with Langmuir model. The maximum adsorption capacity of lead by orange treated peel from Langmuir model was 41.667 m g-1 at pH 5.5. According to the results, treated orange peel is recommended as a low cost and available and harmless adsorbent to remove Pb2+ from lead aqueous solution.
Keywords:
Authors
Sh. Tayar
M.Sc. Graduated, Department of Chemical Engineering, Amirkabir University of Technology
B. Nasernejad
Professor, Department of Chemical Engineering, Amirkabir University of Technology, Tehran, 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 :