相关实验视频

Updated: May 7, 2026

The Use of a β-lactamase-based Conductimetric Biosensor Assay to Detect Biomolecular Interactions

The Use of a β-lactamase-based Conductimetric Biosensor Assay to Detect Biomolecular Interactions

Published on: February 1, 2018

双模生物传感器集成,具有类似过氧化酶的活性和自我组装,用于尿酸检测

Dingyitai Liang¹, Ziqi Ding¹, Yushu Ding¹

¹State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200030, P. R. China. yuningwang@sjtu.edu.cn.

Journal of materials chemistry. B

|May 27, 2025

概括

一个使用空心氧化铜@金纳米立方体的新型双模生物传感器以高灵敏度检测尿酸 (UA). 这一进步为改善痛风和代谢疾病诊断提供了精确的血清和尿液UA测量.

科学领域:

纳米材料科学科学纳米材料科学
分析化学分析化学
生物医学诊断生物医学诊断

背景情况:

尿酸 (UA) 是痛风和代谢性疾病的关键生物标志物.
在生物流体中准确检测UA对于诊断和治疗至关重要.
现有的方法可能缺乏灵敏度或需要复杂的程序.

研究的目的:

开发一种灵敏,快速的双模生物传感器,用于尿酸检测.
为了利用空心Cu2O@Au纳米立方体 (h-Cu2O@AuNCs) 进行增强的UA分析.
为了在血清和尿液等临床样本中准确量化UA.

主要方法:

制造具有过氧化酶类活性的空心Cu2O@Au纳米立方体 (h-Cu2O@AuNCs).
用于UA检测的色度测定,利用h-Cu2O@AuNCs的POD类活性.
激光脱吸/电离质谱 (LDI-MS) 与液体-液体接口自组装相结合,用于UA丰富和检测.

主要成果:

色度测定:线性范围为0.05-2毫米,检测极限 (LOD) 35.71微米.
LDI-MS测定:线性范围为0.01-0.5mM,LOD为15.6μM,可重现率为<5%.
双模型平台成功检测了血清和尿液中的UA,与商业套件有很高的相关性 (血清R2=0.956,尿液R2=0.876).

结论:

基于h-Cu2O@Au NCs的双模生物传感器为UA检测提供了一个灵敏和高效的平台.
这种纳米平台展示了 UA 相关疾病快速和准确的临床诊断的巨大潜力.
综合色度和LDI-MS方法为分析不同生物矩阵中的UA提供了多功能性.

更多相关视频

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Published on: September 19, 2017

Quantitative SERS Detection of Uric Acid via Formation of Precise Plasmonic Nanojunctions within Aggregates of Gold Nanoparticles and Cucurbit[n]uril

Quantitative SERS Detection of Uric Acid via Formation of Precise Plasmonic Nanojunctions within Aggregates of Gold Nanoparticles and Cucurbit[n]uril

Published on: October 3, 2020

相关概念视频

Microbial Biosensors

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...