Suppr超能文献

使用壳聚糖稳定的金纳米粒子修饰的还原氧化石墨烯对水中亚硝酸盐进行选择性比色检测。

Selective Colorimetric Detection of Nitrite in Water using Chitosan Stabilized Gold Nanoparticles Decorated Reduced Graphene oxide.

作者信息

Amanulla Baishnisha, Palanisamy Selvakumar, Chen Shen-Ming, Chiu Te-Wei, Velusamy Vijayalakshmi, Hall James M, Chen Tse-Wei, Ramaraj Sayee Kannan

机构信息

PG & Research department of Chemistry, Thiagarajar College, Madurai-09, Tamilnadu, India.

Electroanalysis and Bioelectrochemistry Lab, Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, No. 1, Section 3, Chung-Hsiao East Road, Taipei 106, Taiwan, ROC.

出版信息

Sci Rep. 2017 Oct 27;7(1):14182. doi: 10.1038/s41598-017-14584-6.

Abstract

Excess nitrite (NO) concentrations in water supplies is considered detrimental to the environment and human health, and is associated with incidence of stomach cancer. In this work, the authors describe a nitrite detection system based on the synthesis of gold nanoparticles (AuNPs) on reduced graphene oxide (rGO) using an aqueous solution of chitosan and succinic acid. The AuNPs-rGO nanocomposite was confirmed by different physicochemical characterization methods including transmission electron microscopy, elemental analysis, X-ray diffraction, UV-visible (UV-vis) and Fourier transform infrared spectroscopy. The AuNPs-rGO nanocomposite was applicable to the sensitive and selective detection of NO with increasing concentrations quantifiable by UV-vis spectroscopy and obvious to the naked eye. The color of the AuNPs-rGO nanocomposite changes from wine red to purple with the addition of different concertation of NO. Therefore, nitrite ion concentrations can be quantitatively detected using AuNPs-rGO sensor with UV-vis spectroscopy and estimated with the naked eye. The sensor is able to detect NO in a linear response ranging from 1 to 20 μM with a detection limit of 0.1 μM by spectrophotometric method. The as-prepared AuNPs-rGO nanocomposite shows appropriate selectivity towards NO in the presence of potentially interfering metal anions.

摘要

供水中过量的亚硝酸盐(NO)浓度被认为对环境和人类健康有害,并且与胃癌的发病率有关。在这项工作中,作者描述了一种基于壳聚糖和琥珀酸水溶液在还原氧化石墨烯(rGO)上合成金纳米颗粒(AuNPs)的亚硝酸盐检测系统。通过包括透射电子显微镜、元素分析、X射线衍射、紫外可见(UV-vis)和傅里叶变换红外光谱在内的不同物理化学表征方法对AuNPs-rGO纳米复合材料进行了确认。AuNPs-rGO纳米复合材料适用于对NO的灵敏和选择性检测,其浓度增加可通过紫外可见光谱定量,肉眼也能明显观察到。随着加入不同浓度的NO,AuNPs-rGO纳米复合材料的颜色从酒红色变为紫色。因此,可使用AuNPs-rGO传感器通过紫外可见光谱定量检测亚硝酸根离子浓度,并通过肉眼估计。该传感器能够通过分光光度法在1至20μM的线性响应范围内检测NO,检测限为0.1μM。所制备的AuNPs-rGO纳米复合材料在存在潜在干扰金属阴离子的情况下对NO表现出适当的选择性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c02c/5660180/aab9a7af7148/41598_2017_14584_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验