Green nanosilica and highly efficient removal of methylene blue

Author:

Thuadaij Pattaranun,Yodyingyong Supan

Abstract

Abstract A new precipitation method has been developed for improving the production of nanosilica that is faster and more environmentally friendly. The study investigates the effects of different acid types and concentrations, as well as aging times, to determine the optimal conditions for preparing nanosilica from sugarcane bagasse ash (SCBA). Nanosilica synthesised with citric acid exhibits a higher specific surface area (554.01 m2 g−1) and yield (88.54%) compared to those synthesised with sulfuric, oxalic, and acetic acids. X-ray diffraction (XRD) patterns and transmission electron microscope (TEM) images show that the synthesised nanosilica has an amorphous silica phase with a particle diameter of approximately 5.6 nm. The applicability of the synthesised nanosilica as an adsorbent for methylene blue (MB) is studied. Various conditions such as adsorbent dosage, contact time, and initial concentration of MB are evaluated. The results reveal that the synthesised nanosilica has a high adsorption capacity (232.29 mg g−1) and removal efficiency (R%) of 90% for MB. The experimental results align with the Freundlich model and can be used for effective dye removal. The development of a simple and environmentally friendly method for synthesising nanosilica with superior adsorption properties is an important contribution to the field of waste management and provides a useful tool for tackling environmental pollution caused by organic dyes.

Publisher

IOP Publishing

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,General Materials Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3