Suppr超能文献

制备类氧化酶聚苯胺-氧化锰杂化纳米线及其对亚硫酸盐和抗坏血酸的灵敏比色检测

Fabrication of oxidase-like polyaniline-MnO hybrid nanowires and their sensitive colorimetric detection of sulfite and ascorbic acid.

机构信息

Alan G. MacDiarmid Institute, College of Chemistry, Jilin University, Changchun 130012, PR China.

Institute of Scientific and Technical information of Jilin Province, Changchun 130033, PR China.

出版信息

Talanta. 2019 Jan 1;191:171-179. doi: 10.1016/j.talanta.2018.08.061. Epub 2018 Aug 24.

Abstract

Recently, nanomaterials-based oxidase-like artificial enzymes have attracted much attention due to their unique catalytic efficiency, high environmental stability and low-cost. In this study, we for the first time show the application of polyaniline (PANi)-MnO hybrid nanowires for oxidase mimicking. The PANi-MnO hybrid nanowires are prepared via a redox reaction between PANi nanowires and KMnO. The as-prepared PANi-MnO hybrid nanowires exhibit an enhanced oxidase-like catalytic activity compared with individual PANi nanowires and MnO alone due to the synergistic catalytic effect between the two components. Based on the above findings, we construct PANi-MnO hybrid nanowires-based colorimetric assay for sensitive and selective detection of sulfite and ascorbic acid (AA). The detection limits of sulfite and AA are as low as 79 and 26 nM, respectively, which is much lower than many previous reported enzyme mimics-based colorimetric sensors. This work demonstrates a broad potential prospect of PANi-MnO hybrid nanowires in biotechnology, environmental science and food safety.

摘要

最近,基于纳米材料的氧化酶样人工酶因其独特的催化效率、高环境稳定性和低成本而引起了广泛关注。在这项研究中,我们首次展示了聚苯胺 (PANi)-MnO 杂化纳米线在氧化酶模拟中的应用。通过 PANi 纳米线和 KMnO4 之间的氧化还原反应制备了 PANi-MnO 杂化纳米线。与单独的 PANi 纳米线和 MnO 相比,所制备的 PANi-MnO 杂化纳米线由于两种成分之间的协同催化作用,表现出增强的氧化酶样催化活性。基于上述发现,我们构建了基于 PANi-MnO 杂化纳米线的比色测定法,用于灵敏和选择性检测亚硫酸盐和抗坏血酸 (AA)。亚硫酸盐和 AA 的检测限分别低至 79 和 26 nM,远低于许多先前报道的基于酶模拟物的比色传感器。这项工作证明了 PANi-MnO 杂化纳米线在生物技术、环境科学和食品安全方面具有广阔的应用前景。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验