Enhanced medicinal applications of Co-doped Zn0.5Ni0.5Fe2-xO4 for (X = 0.00 and 0.0250) soft ferrites: A structural analysis

  • Abu Zar Muaawia Department of Physics, University of the Punjab, Lahore 54590, Punjab, Pakistan
  • Ali Mujtaba Department of Physics, The University of Lahore, Lahore 53700, Punjab, Pakistan
  • M. I. Khan Department of Physics, The University of Lahore
  • Babar Ali Department of Physics, University of Okara, Okara 56300, Punjab, Pakistan
  • Ansa Karamat Department of Physics, GC Women University Sialkot, Punjab 51310, Pakistan
  • Adnan Asghar School of Quantitative Sciences, UUM College of Arts & Sciences, Universiti Utara Malaysia, UUM Sintok 06010, Kedah Darul Aman, Malaysia
Ariticle ID: 237
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Keywords: ferrites application, medicine, XRD, spinel ferrites, Co-doping

Abstract

In this experimental research paper, we investigate the potential enhancement of Co-doped Zn0.5Ni0.5Fe2-xCoxO4 for (x = 0.0, and 0.0250) ferrites, synthesis by green synthesis method for applications in medicine. The structural analysis of the synthesized material is a crucial step in understanding its suitability for medical applications. X-ray Diffraction (XRD) is employed to elucidate the crystallographic structure of the Co-doped ZnNiFe2O4 ferrites. The results demonstrate that the doping process has a significant influence on the material’s crystal structure, which may impact its potential in various biomedical applications. The Co-doped ZnNiFe2O4 spinel ferrite materials become more suitable for medical applications as the decrease in X-ray density and simultaneous increase in bulk density can facilitate better tissue penetration and biocompatibility, making them ideal for non-invasive medical imaging and therapeutic applications, while minimizing potential health risks.

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Published
2023-08-05
How to Cite
Muaawia, A. Z., Mujtaba, A., Khan, M. I., Ali, B., Karamat, A., & Asghar, A. (2023). Enhanced medicinal applications of Co-doped Zn0.5Ni0.5Fe2-xO4 for (X = 0.00 and 0.0250) soft ferrites: A structural analysis. Journal of AppliedMath, 1(2), 237. https://doi.org/10.59400/jam.v1i2.237
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