Suppr超能文献

通过光刻和电化学合成制备具有微/纳米阵列的铂/金双金属分级结构:从设计到谷草转氨酶和谷丙转氨酶生物传感器

Pt/Au bimetallic hierarchical structure with micro/nano-array via photolithography and electrochemical synthesis: From design to GOT and GPT biosensors.

作者信息

Ren Hong-Xuan, Huang Xing-Jiu, Kim Ju-Hyun, Choi Yang-Kyu, Gu Ning

机构信息

Department of Chemistry, Southeast University, Nanjing 210098, China.

出版信息

Talanta. 2009 Jun 15;78(4-5):1371-7. doi: 10.1016/j.talanta.2009.02.024. Epub 2009 Feb 20.

Abstract

A novel matrix for enzyme immobilization was successfully developed by using Pt/Au bimetallic hierarchical structure with micro/nano-array to generate highly sensitive biosensors for glutamic oxaloacetic transaminase (GOT, EC 2.6.1.1) and glutamic pyruvic transaminase (GPT, EC 2.6.1.2) determination. The structures of the Pt/Au particles were confirmed with a dual-beam FIB image, transmission electron microscopy (TEM), selected area electron diffraction (SAED) pattern, and X-ray diffraction (XRD) pattern. The morphologies of the Pt/Au bimetallic hierarchical structure before and after enzyme modification were checked using scanning electron microscopy (SEM). The effects of Nafion membrane and enzyme loading were established. Both GOT and GPT activities have been investigated singly and sequentially. The sensing performances were recorded by employing cyclic voltammetric and chronoamperometry (concentration variations of GOT and GPT) techniques. The interference of ascorbic acid and uric acid was also included. We believe that this study will provide a good inspiration in the development of new generation amperometric biosensors.

摘要

通过使用具有微/纳米阵列的铂/金双金属分级结构,成功开发了一种用于酶固定化的新型基质,以制备用于测定谷草转氨酶(GOT,EC 2.6.1.1)和谷丙转氨酶(GPT,EC 2.6.1.2)的高灵敏度生物传感器。通过双束聚焦离子束图像、透射电子显微镜(TEM)、选区电子衍射(SAED)图谱和X射线衍射(XRD)图谱确定了铂/金颗粒的结构。使用扫描电子显微镜(SEM)检查了酶修饰前后铂/金双金属分级结构的形态。确定了Nafion膜和酶负载量的影响。分别并依次研究了GOT和GPT的活性。采用循环伏安法和计时电流法(GOT和GPT的浓度变化)技术记录传感性能。还研究了抗坏血酸和尿酸的干扰。我们相信这项研究将为新一代安培型生物传感器的开发提供很好的启发。

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