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

Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...

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

The Selective Routing of Plasmonic Interface Charge Transfer in Enhanced Raman Spectroscopy or Chemical Reaction.

Journal of the American Chemical Society·2026
Same author

In Situ Raman Spectroscopy Reveals the Dynamic Evolution and Ethanol Dependence of SEI Structure in Li-Mediated N<sub>2</sub> Reduction Reaction.

Journal of the American Chemical Society·2026
Same author

Comparative effects of four back squat prescription models on explosive performance and sprint outcomes in resistance-trained men.

Frontiers in physiology·2026
Same author

Electrothermal vacuum sublimation drying of graphene aerogels for high-temperature synthesis.

Nature communications·2026
Same author

AirNet: A Deep Learning-Driven Auto Baseline Correction Algorithm Balancing Global Smoothness and Local Fidelity.

Analytical chemistry·2026
Same author

Sol-gel interconvertible 62-component dodecahedra assembled via amide-π-assisted anion-coordination nanoarchitectonics.

Science advances·2026

相关实验视频

Updated: Jun 16, 2026

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
08:26

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

1.7K

快速SERS分析:从实验室到真实样本

Haoyu Guo1,2, Shengfu Zhi1, Zeyu Zhao1,2

  • 1State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China.

ACS applied materials & interfaces
|June 2, 2025
PubMed
概括
此摘要是机器生成的。

本综述侧重于对现实世界样品的快速表面增强拉曼光谱 (SERS) 分析. 它概述了关键步骤,包括可靠的实验室分析,快速样本准备和人工智能集成,以改善结果.

关键词:
这就是 SERS SERS.人工智能的人工智能是人工智能.分子相互作用分子相互作用.快速分析 快速分析快速样品的预处理.可靠的定性和选择性敏感分析.频谱结构相关性相关性

更多相关视频

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots
11:11

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots

Published on: February 11, 2022

4.5K
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.2K

相关实验视频

Last Updated: Jun 16, 2026

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
08:26

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

1.7K
Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots
11:11

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots

Published on: February 11, 2022

4.5K
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.2K

科学领域:

  • 分析化学 分析化学
  • 频谱学是一种光谱学.
  • 纳米技术 纳米技术

背景情况:

  • 表面增强的拉曼光谱 (SERS) 已经在它的历史,机制和应用方面进行了广泛的审查.
  • 在对真实样本进行快速SERS分析的方法总结方面存在差距.

研究的目的:

  • 巩固在为现实世界应用开发快速SERS分析方面取得的关键进展.
  • 为实践SERS实施提供了关键步骤的专注概述.

主要方法:

  • 审查关于实验室SERS分析的文献.
  • 快速样品预处理的检查技术.
  • 研究人工智能 (AI) 在SERS数据分析中的作用.

主要成果:

  • 确定快速SERS分析的三个关键步骤.
  • 重点是建立可靠和敏感的SERS方法.
  • 突出了有效的样本准备和AI集成的必要性.

结论:

  • 快速的SERS分析需要强大的实验室方法,精简的预处理和AI增强.
  • 本综述为加速在实例分析中采用SERS的路线图提供了路线图.
  • 未来的方向强调人工智能驱动的质量和数量SERS的改进.