Recycling the wasted bentonite clay as a low-cost and novel adsorbent for the removal of the methylene blue dye in the aqueous solution
Publish place: Advances in Environmental Technology، Vol: 10، Issue: 1
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
View: 100
This Paper With 15 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_AET-10-1_006
تاریخ نمایه سازی: 22 خرداد 1403
Abstract:
This study aims to recycle thermal remediated bentonite clay waste (TRBCW) as a green, new, low-cost adsorbent to remove the methylene blue (MB) dye in an aqueous solution. The first system was the batch adsorption experiments having five condition parameters: contact time, pH, temperature, initial concentration of MB, and dose of TRBCW adsorbent. From the analysis of the batch adsorption data, it was apparent that the adsorbing of MB molecules on the TRBCW adsorbent was endothermic, irreversible, promising, spontaneous, and favorable. The Fruendlich model was more compatible than the Langmuir model for the experimental batch adsorption data, and the maximum adsorption capacity was ۳۴.۷۷ mg/g. The second system is the continuous (fixed-bed column) having three investigated condition parameters: the influent MB concentration, flow rate, and (TRBCW weight) bed depth, the adsorption capacity that results from the dominant parameters (۱ml/min, ۵۰ mg/L, and ۲۲ cm) was ۶۱.۳۷ mg/g, and the experimental continuous adsorption data were more suitable with Yoon-Nelson, Thomas, and BDST models with R۲> ۰.۹.
Keywords:
Authors
Mukhtar Shubber
Ph.D. Student, Department of Environmental Engineering, Babol University of Technology, Iran & Engineer in Directorate of Al-Qadissiyeah environment, ministry of environment,Iraq
Daryoush Yousefi Kebria Yousefi Kebria
Associate Professor, Department of Environmental Engineering, Babol University of Technology, 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 :