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在紫外光照射下用二氧化钛纳米颗粒光催化降解氨。

Photocatalytic degradation of ammonia with titania nanoparticles under UV light irradiation.

机构信息

Department of Chemical Engineering, Faculty of Chemical, Petroleum and Gas Engineering, Semnan University, Semnan, Iran.

Nanochemical Engineering Department, Faculty of Advanced Technologies, Shiraz University, Shiraz, Iran.

出版信息

Environ Sci Pollut Res Int. 2022 Sep;29(45):68600-68614. doi: 10.1007/s11356-022-20408-6. Epub 2022 May 11.

Abstract

Ammonia is one of the major pollutants of water resources, posing a serious threat to human health and the environment. Titania nanoparticles were used to examine the photocatalytic degradation of ammonia from an aqueous solution in this study. Titania nanoparticles (NPs) were first synthesized via the sol-gel method, then characterized using XRD, FTIR, DLS, EDX, FE-SEM, and TEM analyses. Four effective parameters (pH, initial concentration of pollutant, catalyst dosage, and irradiation time) for photocatalytic degradation were explored using Design-Expert Software. The greatest photocatalytic activity of titania NPs was found in optimal conditions, according to the findings (97%). The optimum amounts of catalyst dosage, initial pollutant concentration, irradiation time, and pH were obtained at 0.3 g/l, 1500 mg/l, 120 min, and 12, respectively. Furthermore, studies revealed that pH was the most efficient variable in comparison with others and that increasing the pH value from 8 to 12 boosted ammonia removal from 40 to 97%. NPs showed high stability as the ammonia removal decreased from 96.96% to 65% after four cycles. Generally, this research has created a precedent for the development of morphology-dependent photocatalysts for the degradation of organic contaminants.

摘要

氨是水资源的主要污染物之一,对人类健康和环境构成严重威胁。本研究采用锐钛矿纳米粒子(TiO2 NPs)考察了水溶液中氨的光催化降解。首先通过溶胶-凝胶法合成了锐钛矿纳米粒子(TiO2 NPs),然后通过 XRD、FTIR、DLS、EDX、FE-SEM 和 TEM 分析进行了表征。使用 Design-Expert 软件研究了四个有效参数(pH、污染物初始浓度、催化剂用量和辐照时间)对光催化降解的影响。根据研究结果(97%),发现锐钛矿 NPs 的光催化活性最高。在最佳条件下,催化剂用量、初始污染物浓度、辐照时间和 pH 的最佳值分别为 0.3 g/l、1500 mg/l、120 min 和 12。此外,研究表明,与其他因素相比,pH 是最有效的变量,将 pH 值从 8 增加到 12 可将氨的去除率从 40%提高到 97%。NPs 表现出较高的稳定性,四次循环后氨的去除率从 96.96%下降到 65%。总的来说,这项研究为开发形态依赖型光催化剂用于降解有机污染物开创了先例。

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