The effect of magnetic field on the magnetic property of Agar/Fe3O4 nanocomposite
Publish place: Iranian Chemical Communication، Vol: 7، Issue: 5
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
View: 556
This Paper With 9 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ICC-7-5_005
تاریخ نمایه سازی: 23 تیر 1398
Abstract:
Agar/Fe3O4 nanocomposites were synthesized in the presence of an external magnetic field (~ 0.4 Tesla) and their characteristics were compared with the samples synthesized without considering the external magnetic field. In this study we used Fe2+ and Fe3+ for synthesizing Fe3O4 magnetic nanoparticles in the presence of agar as polymeric additive, by co-precipitation technique. Vibrating sample magnetometer (VSM) analysis of the samples revealed the saturation magnetism as 33.92 emu/g and 38.92 emu/g for synthesized samples in the absence and presence of external magnetic field, respectively. The results of scanning electron microscopy (SEM) images showed that the aggregation of magnetic nanoparticles is related to the magnetic property. Magnetic dipole alignment was increased by sample synthesizing in the external magnetic field. The Fourier transforms infrared (FT-IR) spectroscopy and X-ray diffraction (XRD) pattern were also applied to characterize the magnetic nanocomposites.
Keywords:
Authors
Seyed Ashkan Moghadam Ziabari
Department of Physics, Iran University of Science and Technology, Tehran۱۶۸۴۶-۱۳۱۱۴, Iran
Mohsen Babamoradi
Department of Physics, Iran University of Science and Technology, Tehran۱۶۸۴۶-۱۳۱۱۴, Iran
Zoleikha Hajizadeh
Catalysts and Organic Synthesis Research Laboratory, Department of Chemistry, Iran University of Science and Technology, Tehran۱۶۸۴۶-۱۳۱۱۴, Iran
Ali Maleki
Catalysts and Organic Synthesis Research Laboratory, Department of Chemistry, Iran University of Science and Technology, Tehran۱۶۸۴۶-۱۳۱۱۴, 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 :