Mercury removal from industrial wastewater using activated carbon synthesized from natural shells

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 1

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_ARWW-12-2_002

تاریخ نمایه سازی: 7 بهمن 1404

چکیده مقاله:

The aim of this research was to separate mercury from gold refining wastewater using activated carbon (AC) from natural shells. To this end, walnut and coconut shells were used as the main source of AC. The characterizations of both ACs were compared by FTIR, BET, and SEM analyses. The FTIR results revealed interactions between the solute and the functional groups on the adsorbent surface. According to the BET results, the mean pore diameter (MPD) of AC from coconut shells (CSAC) was smaller than that derived from walnut shells (WSAC). The specific surface areas for CSAC and WSAC were ۱۰۶۹.۱ and ۱۱۹.۶ m۲/g, respectively. SEM results revealed that the porous texture of ACs emanates from their cellular structure. This research further studied the impact of operational parameters “adsorbent dose” (۰.۳-۳.۸ g/L), “pH” (۲-۹), and “residence time” (۱۰-۱۲۰ min) on mercury removal. Under optimal operational conditions, the mercury removal rate reached ۹۷% (for WSAC) and ۹۳% (for CSAC). Kinetic model assessments revealed the highest agreement between the experimental data and the pseudo-first-order (PFO) model. Both adsorbents were regenerable, with their performance (compared to fresh adsorbents) exceeding ۹۰% after each regeneration.

نویسندگان

Rozita Moradi

Department of Chemical Engineering, Faculty of Engineering, Kermanshah University of Technology, Kermanshah, Iran.

Majid Mohadesi

Department of Chemical Engineering, Faculty of Engineering, Kermanshah University of Technology, Kermanshah, Iran.

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله 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 مقاله لینک شده اند :