Enhancement of tetracycline removal in aquatic environment by nano-pyrite/H_۲ O_۲/ultrasound as a sono-Fenton process
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
View: 97
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_JWENT-8-2_007
تاریخ نمایه سازی: 27 خرداد 1402
Abstract:
This study was conducted with the aim of introducing a new sono-Fenton system containing nano-pyrite catalyst and hydrogen peroxide (HP) for the effective removal of tetracycline (TC) from aqueous solutions. The synthesized nano-pyrite was characterized through XRD, FTIR, FE-SEM, and EDX analyses. The best performance of the sono-Fenton nano-pyrite/HP system was observed under the condition of pH ۳.۰, TC ۸.۰ mg/L, HP ۴.۰ mM, ultrasound (US) ۴۰ W, nano-pyrite ۱.۰ g/L, and ۲۰ min with ۹۳.۱% removal efficiency. Comparison of the efficiency of the proposed system components confirmed the remarkable synergy between sono-catalysis and Fenton reactions due to the simultaneous application of nano-pyrite, HP, and US power. Meanwhile, US irradiation caused fluidization, turbulence, mass transfer, and nano-pyrite surface cleaning due to its cavitation and oscillation effects. According to the tracer test, the main agent of TC degradation in the sono-Fenton process was HO^•. The results showed that the TC removal efficiency from the first to the fourth run reached from ۹۳.۱% to ۷۰.۳%. This means that the recyclability of nano-pyrite has been very successful. Overall, the proposed sono-Fenton system was an efficient and sustainable process for the rapid and effective removal of pharmaceutical contaminants from water and wastewater.
Keywords:
Authors
Elham Aseman-Bashiz
Environmental Health Engineering Lecturer, Alifard (SANICH) Institute of Applied Nscience and Technology, Hashtgerd, Alborz, Iran
Hossein Sayyaf
Environmental Health Engineering Lecturer, Alifard (SANICH) Institute of Applied Nscience and Technology, Hashtgerd, Alborz, 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 :