Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Microbial Biosensors01:17

Microbial Biosensors

88
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...
88

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Dual-enhanced fluorescent biosensors using metal-coated piezoelectric nanoimprinted substrates.

Physical chemistry chemical physics : PCCP·2026
Same author

A practical guide to working with nanopipettes.

The Analyst·2025
Same author

Determination of Enantiomeric Excess in Confined Aprotic Solvent.

ACS electrochemistry·2025
Same author

Piezoelectric-Driven Amplification of Plasmon-Enhanced Fluorescence for Advanced Sensing Applications.

ACS applied materials & interfaces·2025
Same author

Virus Detection by CRISPR-Cas9-Mediated Strand Displacement in a Lateral Flow Assay.

ACS applied bio materials·2025
Same author

Chiral Drug Resolution Nanochannels Inspired by Mitochondrial Membranes.

Analytical chemistry·2025
Same journal

Improved Microplastic Identification from Simultaneously Collected Photothermal Infrared and Raman Spectra Using Multiview Conformal Prediction.

ACS measurement science au·2026
Same journal

Rapid Classification of Coffee Varieties Using Single-Bean Hot Gas Extraction Ion-Mobility Spectrometry with Machine Learning.

ACS measurement science au·2026
Same journal

Data-Driven Electrochemistry Reveals the Impact of Hydrophobicity on Aptamer Cross-Reactivity.

ACS measurement science au·2026
Same journal

Selective Preconcentration and Mass Spectrometry Profiling of Charged Extracellular Modified Ribonucleosides by Borate Complexation and Temperature-Assisted Ionic Liquid Microextraction.

ACS measurement science au·2026
Same journal

Transformation-Aware Molecular Networking for Interpretation of Untargeted LC-HRMS Data.

ACS measurement science au·2026
Same journal

Fully 3D-Printed Sampling-to-Detection Electrochemical Platform for Point-of-Care Measurement of Salivary Uric Acid.

ACS measurement science au·2026
查看所有相关文章

相关实验视频

Updated: May 1, 2026

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions
12:20

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions

Published on: July 22, 2013

18.4K

了解纳米级传感器的敏感性

Dominik Duleba1, Adria Martínez-Aviñó1, Andriy Revenko1

  • 1School of Chemistry, University College Dublin, Belfield, Dublin 4, Ireland.

ACS measurement science au
|June 25, 2025
PubMed
概括
此摘要是机器生成的。

优化纳米级传感器灵敏度涉及到平衡信号变化和随机错误. 几何因素显著影响传感器输出差异,指导设计以提高纳米孔传感器的性能.

关键词:
索博尔索博尔 (Sobol Sobol) 是一个城市.这是一个纳米管子.这是一个纳米孔.优化的优化优化优化.灵敏度 灵敏度 灵敏度 灵敏度 灵敏度传感器 传感器 传感器 传感器不确定性是一种不确定性.

更多相关视频

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy
13:15

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy

Published on: July 18, 2014

11.1K
A Closed-Type Wireless Nanopore Electrode for Analyzing Single Nanoparticles
08:31

A Closed-Type Wireless Nanopore Electrode for Analyzing Single Nanoparticles

Published on: March 20, 2019

7.7K

相关实验视频

Last Updated: May 1, 2026

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions
12:20

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions

Published on: July 22, 2013

18.4K
Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy
13:15

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy

Published on: July 18, 2014

11.1K
A Closed-Type Wireless Nanopore Electrode for Analyzing Single Nanoparticles
08:31

A Closed-Type Wireless Nanopore Electrode for Analyzing Single Nanoparticles

Published on: March 20, 2019

7.7K

科学领域:

  • 纳米技术 纳米技术
  • 传感器技术 传感器技术
  • 物理化学 物理化学

背景情况:

  • 传感器的灵敏度至关重要,但由于复杂的物理现象,难以预测.
  • 灵敏度取决于分析剂诱导的信号变化和随机输出波动.
  • 控制几何和操作条件是优化传感器性能的关键.

研究的目的:

  • 为了证明离子电流校正纳米孔传感器的灵敏度优化.
  • 识别影响传感器灵敏度的关键几何和操作参数.
  • 为优化纳米级传感器灵敏度提供基于模拟的框架.

主要方法:

  • 使用有限元分析 (FEA) 来模拟传感器输出分布.
  • 采用Sobol分析来确定影响传感器输出错误的关键参数.
  • 集成信号变化大小和输出扩散用于灵敏度计算和优化.

主要成果:

  • 几何参数被确定为输出方差的最重要贡献者.
  • 较小的孔径和较低的电解质度增加了圆角度误差的影响,扩大了输出.
  • 预计在较低的电解质度下,较大的毛孔的灵敏度最高.

结论:

  • 几何设计和操作条件极大地影响了纳米孔传感器的灵敏度.
  • 基于模拟的分析为优化传感器性能提供了一个可行的框架.
  • 实验验证证了模拟对最佳灵敏度参数的预测.