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

Qualitative Analysis03:46

Qualitative Analysis

For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
Development of Analytical Methods01:21

Development of Analytical Methods

An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
Qualitative Analysis01:10

Qualitative Analysis

Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
Quantitative Analysis01:12

Quantitative Analysis

Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the method...

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

Impact of below-the-knee runoff in patients undergoing drug-coated balloon angioplasty for femoropopliteal disease: a propensity score-matched analysis.

BMC cardiovascular disorders·2026
Same author

Potential health impact of therapeutic HPV vaccines in China: a modeling study.

BMC medicine·2026
Same author

WIPButyrate produced by the Lycium ruthenicum polysaccharide alleviated sleep deprivation-induced chronic fatigue syndrome in mice through promoting microglial autophagy.

Food research international (Ottawa, Ont.)·2026
Same author

The efficacy of targeted therapy in ALK-positive non-small-cell lung cancer patients and analysis of MET/PD-L1 expression status.

Therapeutic advances in medical oncology·2026
Same author

Study and Optimization of a High-Performance SPR-PCF Temperature Sensor for Low-Temperature Monitoring Applications.

Micromachines·2026
Same author

Tissue Eosinophilia of the Colonic Mucosa as a Potential Early Predictor of Failure to Achieve Clinical Remission in Ulcerative Colitis.

Medicina (Kaunas, Lithuania)·2026

相关实验视频

Updated: Jun 13, 2026

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
08:46

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Published on: September 16, 2014

基于SERS的电子语言数据分析方法:从频谱准备到定性和定量建模.

Pengju Yin1, Xiaoyao Wu1, Yumeng Xiao1

  • 1School of Mathematics and Physics, Hebei University of Engineering, Handan, Hebei 056038, China.

ACS sensors
|March 3, 2026
PubMed
概括

基于表面增强拉曼光谱 (SERS) 的电子舌头 (E-tongues) 提供非侵入性的味道分析. 本综述指导研究人员选择SERS数据的机器学习方法,解决复杂混合分析的挑战.

关键词:
电子舌头 (E-tongue) 是一种语言.这就是 SERS SERS.数据预处理数据预处理.评估指标 评价指标液体检测器检测液体检测器机器学习算法的算法方法选择指南 方法选择指南定性分析是一种定性分析.定量分析量化分析

更多相关视频

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics
07:17

Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics

Published on: March 13, 2026

相关实验视频

Last Updated: Jun 13, 2026

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
08:46

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Published on: September 16, 2014

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics
07:17

Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics

Published on: March 13, 2026

科学领域:

  • 分析化学 分析化学
  • 频谱学是一种光谱学.
  • 化学测量 化学测量 化学测量

背景情况:

  • 表面增强拉曼光谱 (SERS) 与电子舌头 (E-tongues) 结合,提供无标签的味道分析.
  • 对于复杂的液体分析,SERS-E语言利用传感阵列,光谱采集和机器学习 (ML).
  • 为SERS数据提取特征和选择合适的ML方法仍然具有挑战性.

研究的目的:

  • 审查基于SERS的E-tongue原则和进展情况.
  • 为基于特征和目标的SERS数据提供关于科学选择ML方法的指导.
  • 为SERS-E-tongue研究人员解决实际数据处理挑战.

主要方法:

  • 系统审查SERS-E-tongue技术原则和研究进展.
  • 对SERS数据的预处理和特征工程方法的总结和评估.
  • 根据光谱数据和任务要求选择定性和定量ML算法的指导方针.

主要成果:

  • 详细审查SERS-E-tongue技术及其应用.
  • 数据预处理,特征工程和ML算法选择策略的系统总结.
  • 现场实验室研究人员的实用方法参考书.

结论:

  • 有效的ML方法选择对于SERS-E-tongue数据分析至关重要.
  • 该审查为根据数据和目标选择适当的方法提供了一个框架.
  • 解决目前的瓶问题,并概述SERS-E-tongue技术的未来研究方向.