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采用溶胶凝胶法从菠萝叶中制备氧化锌包覆碳纳米粒子,用于最佳吸附 Cu 并在潜伏指纹应用中重复使用的新型发展。

Novel development of zinc oxide-coated carbon nanoparticles from pineapple leaves using sol gel method for optimal adsorption of Cu and reuse in latent fingerprint application.

机构信息

Department of Chemistry, Nelson Mandela University, Gqeberha, South Africa.

Department of Chemical Sciences, University of Johannesburg, Doornfontein Campus, Johannesburg, 2028, South Africa.

出版信息

Environ Sci Pollut Res Int. 2024 Jun;31(27):38801-38820. doi: 10.1007/s11356-023-25474-y. Epub 2023 Feb 22.

Abstract

This study underlines a latest approach of preparing nitrogen carbon nanoparticles fused on zinc oxide nanoparticle nanocomposite (N-CNPs/ZnONP nanocomposite) for the uptake of copper ions (Cu) from wastewater using a sol gel method. The metal loaded adsorbent was then applied in the latent fingerprint application. N-CNPs/ZnONP nanocomposite proved to be a good sorbent for the optimal adsorption of Cu at pH 8 and 1.0 g/L dosage. Langmuir isotherm best fitted the process with the maximum adsorption capacity of 285.71 mg/g that was superior to most values reported in other studies for the removal of Cu. At 25 °C, the adsorption was spontaneous and endothermic. Furthermore, Cu-N-CNPs/ZnONP nanocomposite revealed to be sensitive and selective for latent fingerprint (LFP) identification on a variety of porous surfaces. As a result, it is an excellent identifying chemical for latent fingerprint recognition in forensic science.

摘要

本研究采用溶胶-凝胶法,强调了一种最新的方法,即用氮碳纳米粒子融合氧化锌纳米颗粒制备纳米复合材料(N-CNPs/ZnONP 纳米复合材料),以从废水中摄取铜离子(Cu)。然后,负载金属的吸附剂被应用于潜在指纹的应用中。N-CNPs/ZnONP 纳米复合材料在 pH 值为 8 和剂量为 1.0 g/L 时,对 Cu 的最佳吸附证明是一种良好的吸附剂。Langmuir 等温线最适合该过程,最大吸附容量为 285.71 mg/g,优于其他研究中大多数用于去除 Cu 的值。在 25°C 下,吸附是自发和吸热的。此外,Cu-N-CNPs/ZnONP 纳米复合材料在各种多孔表面上显示出对潜在指纹(LFP)识别的敏感性和选择性。因此,它是法庭科学中潜在指纹识别的一种极好的鉴定化学物质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7d0/11186909/5a81ebb051cf/11356_2023_25474_Sch1_HTML.jpg

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