Department of Chemistry, Nelson Mandela University, Gqeberha, South Africa.
Department of Chemical Sciences, University of Johannesburg, Doornfontein Campus, Johannesburg, 2028, South Africa.
Environ Sci Pollut Res Int. 2024 Jun;31(27):38801-38820. doi: 10.1007/s11356-023-25474-y. Epub 2023 Feb 22.
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.
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。