通过对 XRF 和 LIBS 技术监测利用氧化钼和掺杂氧化钼的 Y2O3 去除废水中的重金属(汞、铅、铜

IF 7.5 Q1 CHEMISTRY, PHYSICAL
Amal L. Olatibi , Nadiah Y. Aldaleeli , Nafla ELtamimi , Khaled A. Elsayed , Nabil A. Abdel Ghany , Asmaa Elhassan
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引用次数: 0

摘要

本研究使用两种吸附剂去除废水中的重金属(Cu2+、Pb2+、Hg+2),这两种吸附剂分别是通过溶胶凝胶法合成的 MoO3 和掺杂 12%Y2O3 的 MoO3。利用 X 射线衍射 (XRD)、扫描电子显微镜 (SEM)、透射电子显微镜 (TEM) 和 X 射线光电子能谱 (XPS) 对制备的氧化物进行了表征。定量和定性分析技术、便携式 X 射线荧光(pXRF)和激光诱导击穿光谱(LIBS)相结合,用于评估去除效率。对铜、铅和汞的检测限分别为 1.65、2-21 和 0.98 ppm。结果表明,与 MoO3 相比,掺杂 Y2O3 的 α-MoO3 具有更高的去除效率。MoO3 对 Hg2+、Pb2+ 和 Cu2+ 的去除率分别为 95%、33% 和 21%,而掺杂 MoO3 的 Y2O3 对 Hg2+、Pb2+ 和 Cu2+ 的去除率为 98%、63% 和 35%。这项研究显示了激光诱导击穿光谱(LIBS)在环境应用方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilizing MoO3, MoO3 doped Y2O3 for heavy metals (Hg, Pb, Cu) removal from wastewater monitored by p-XRF and LIBS techniques

In this study the heavy metals (Cu2+, Pb2+, Hg+2) were removed from waste water using two types of sorbents, namely, MoO3 and MoO3 doped with 12 %Y2O3 were synthesized by solgel method. The as-prepared oxides were characterized using X-ray diffraction (XRD), Scanning electron microscope (SEM), Transmission electron microscope (TEM), and X-ray photoelectron spectroscopy (XPS). A combination of quantitative and qualitative analysis techqnieus, portable X-ray fluorescence (pXRF) and laser-induced breakdown spectroscopy (LIBS) were used to evaluate the removing efficency. Calibration curves were performed to elucidate the limit of detection (LOD) of the Laser-Induced Breakdown Spectroscopy (LIBS) technique for the removal process The LOD were 1.65, 2–21 and 0.98 ppm for Cu, Pb and Hg respectively. The results indicated that the Y2O3-doped α-MoO3 has a consistently greater removal efficiency compared to MoO3. The removal effecieny of Hg2+, Pb2+ and Cu2+ was 95 %, 33 % and 21 % respectively with MoO3 while it was 98 % 63 % 35 % for MoO3 doped Y2O3, The results proved also that MoO3 and MoO3 doped Y2O3 nanoparticles can be utilized as cost effective adsorbent material for heavy metal removal in wastewater. The study showed the potential of using Laser-Induced Breakdown Spectroscopy (LIBS) in environmental applications.

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CiteScore
8.10
自引率
1.60%
发文量
128
审稿时长
66 days
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