Photodegradation of Human Serum Albumin by Fe۳O۴/ ZnO/Ag Nanocomposite
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 156
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-7-2_002
تاریخ نمایه سازی: 8 مرداد 1401
Abstract:
Fe۳O۴/ ZnO/Ag magnetic nanocomposite was synthesized for the first time and its ability was evaluated for photocatalytic degradation of albumin in aqueous solutions under UV-A light. The resulting nanoparticles were then characterized using X-ray diffraction (XRD), scanning electron microscopy (FESEM), vibration magnetometer (VSM), and Fourier infrared (FTIR). The effects of some parameters such as pH, initial albumin concentration, catalyst concentration, and temperature were also investigated in the photodegradation of albumin. The results showed that the maximum removal of albumin was obtained at pH ۹, catalyst concentration of ۰. ۵ g/l, initial albumin concentration of ۱۵۰ mg/l, and room temperature in ۹۰ min. Under the optimum conditions, the total amount of organic carbon (TOC) was ۵۶%. Kinetic degradation experiments followed the pseudo-first-order kinetic model with a constant rate (k) of ۰.۰۲۵۵ min-۱. Therefore, due to the high performance of Fe۳O۴/ ZnO/Ag magnetic nanocomposite in the degradation of albumin as well as its easy synthesis and separation with an external magnetic field, it can be used as a suitable and environmentally friendly catalyst for the degradation of organic and resistant pollutants in the wastewater.
Keywords:
Authors
Mahmood Hajiani
Department of Environmental Engineering, Faculty of Natural Resources and Environment, University of Bijand, Iran
Efat Ezami
Department of Environmental Engineering, Faculty of Natural Resources and Environment, University of Bijand, Iran
Mohammad Reza Rezaei
Department of Environmental Engineering, Faculty of Natural Resources and Environment, University of Bijand, 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 :