Synthesis and characterization of silica xerogel and aerogel from rice husk ash and pulverized beach sand via sol-gel route
Keywords:
Rice husk ash; Pulverized beach sand; Sol-gel route; Drying techniques Xerogel; AerogelAbstract
The high cost and toxicity associated with the use of orthosilicates as silica precursors drive growing interest in an environmentally friendly and cost - efficient natural silica source. Rice husk (a biomass) and beach sand are both natural and non - toxic and the extraction of silica from each using sodium hydroxide makes the process green for the production of nanosilica gels (xerogel and aerogel) via the sol – gel route. The gels from the ash of rice husk and pulverized beach sand were dried by the use of a laboratory oven and supercritical extraction methods. The structures of the gels were studied through X-ray diffraction (XRD), transmission electron microscopy (TEM), selected area electron diffraction (SAED), scanning electron microscopy (SEM), X - ray fluorescence (XRF) spectroscopy and Fourier transform infrared (FTIR) spectroscopic analyses. XRF spectroscopy revealed silicon in its oxide form as the prominent element with low levels of trace elements concentrations. XRD results showed the crystalline nature of the prepared silica. TEM images confirmed the crystalline and nanometric structures of the streak - free xerogel and aerogel. SAED confirmed that the gels were polycrystalline with no streaks. SEM monographs showed varied globes of fine surfaces indicating the high level of purity of the gels. FTIR showed the absorption peaks of the silanol-OH bond and Si-O-Si vibration, confirming the gels as nanometric structures. The high yield, crystalline nature, purity and crystallographic features of the produced silica suggest rice husk ash and pulverized beach sand as alternative silica sources for the production of silica gels nanoparticles with potential applications in biomedical field, nanofiltration and as additive for improving the strength of materials.
Published
How to Cite
Issue
Section
Copyright (c) 2023 K. M. Omatolaa, A. D. Onojah, A. N. Amah, I. Ahemen

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Christian N. Nwaeme, Adewale F. Lukman, Robust hybrid algorithms for regularization and variable selection in QSAR studies , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 4, November 2023
- George Muddu, Shefiu Olusegun Ganiyu, Adekunle Olugbenga Ejidokun, Yusuf Abass Aleshinloye, Integrated data-driven credit default prediction in Uganda using machine learning models , Journal of the Nigerian Society of Physical Sciences: Volume 8, Issue 1, February 2026
- Pragati, Rajneesh Kumar, Sachin Kaushal, Effect of a moving thermal load in a modified couple stress medium with double porosity and hyperbolic two-temperature theory , Journal of the Nigerian Society of Physical Sciences: Volume 8, Issue 1, February 2026
- Adefemi Adeniran, A. A. Sodipo, C. G. Udomboso, A Modifed Forced Randomized Response Model , Journal of the Nigerian Society of Physical Sciences: Volume 2, Issue 1, February 2020
- B. I. Akinnukawe, K. O. Muka, L-Stable Block Hybrid Numerical Algorithm for First-Order Ordinary Differential Equations , Journal of the Nigerian Society of Physical Sciences: Volume 2, Issue 3, August 2020
- Olugbenga Oludayo Oluwasina, Analysis of Adenanthera pavonine L. (Febaceae) Pod and Seed as Potential Pyrolysis Feedstock for Energy production , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 2, May 2022
- Olumide S. Adesina, Adedayo F. Adedotuun, Kayode S. Adekeye, Ogbu F. Imaga, Adeleke J. Adeyiga, Toluwalase J. Akingbade, On logistic regression versus support vectors machine using vaccination dataset , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 1, February 2024
- Waheed B. Yahya, Yusuf Bello, Abdulrazaq AbdulRaheem, Model Fitness and Predictive Accuracy in Linear Mixed-Effects Models with Latent Clusters , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 3, August 2023
- Muhammad Dahiru Liman, Salamatu Ibrahim Osanga, Esther Samuel Alu, Sa'adu Zakariya, Regularization Effects in Deep Learning Architecture , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 2, May 2024
- Tolulope Latunde, Joseph Oluwaseun Richard, Opeyemi Odunayo Esan, Damilola Deborah Dare, Sensitivity of Parameters in the Approach of Linear Programming to a Transportation Problem , Journal of the Nigerian Society of Physical Sciences: Volume 1, Issue 3, August 2019
You may also start an advanced similarity search for this article.

