Jove
Visualize
联系我们

相关概念视频

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

Shedding Light on the Past: Temporal Classification of Zoological Specimens from Museum Collections with Portable NIR Sensors and Multivariate Error Modeling.

Analytical chemistry·2026
Same author

Biosensors and Smart Analytical Systems in Food Quality and Safety: Status and Perspectives.

Foods (Basel, Switzerland)·2023
Same author

Assessment of Variability Sources in Grape Ripening Parameters by Using FTIR and Multivariate Modelling.

Foods (Basel, Switzerland)·2023
Same author

Historical Silk: A Novel Method to Evaluate Degumming with Non-Invasive Infrared Spectroscopy and Spectral Deconvolution.

Materials (Basel, Switzerland)·2023
Same author

On the Importance of Investigating Data Structure in Miniaturized NIR Spectroscopy Measurements of Food: The Case Study of Sugar.

Foods (Basel, Switzerland)·2023
Same author

Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy.

Foods (Basel, Switzerland)·2022
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

相关实验视频

Updated: Jul 7, 2025

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

16.9K

一个多变量分析驱动的工作流程来解决小型化NIR数据中的不确定性.

Giulia Gorla1, Paolo Taborelli1, Barbara Giussani1

  • 1Department of Science and High Technology, University of Insubria, Via Valleggio 9, 22100 Como, Italy.

Molecules (Basel, Switzerland)
|December 23, 2023
PubMed
概括
此摘要是机器生成的。

这项研究解决了小型近红外 (NIR) 仪器的测量错误,这对于准确的结果至关重要. 它提出了一个分析这些错误的工作流程,特别是在药品样本 (如药丸和片剂) 中.

关键词:
在ASCA的基础上,ASCA就是ASCA.数据不确定性数据不确定性图像分析图像分析微型化的NIR是什么?多变量错误的多变量错误

更多相关视频

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
11:02

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

542
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.3K

相关实验视频

Last Updated: Jul 7, 2025

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

16.9K
Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
11:02

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

542
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.3K

科学领域:

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

背景情况:

  • 微型近红外 (NIR) 仪器越来越多地用于各种领域.
  • 这些设备的准确性和可靠性对于科学成果至关重要,但经常被忽视.
  • 了解测量错误对于强大的分析程序至关重要.

研究的目的:

  • 在使用小型NIR仪器的分析程序中探索和理解测量错误.
  • 调查样品特征和预处理技术对测量误差的影响.
  • 在各种实验环境中提出一个用于错误分析的实用工作流.

主要方法:

  • 测量误差的多变量分析.
  • 采样组件分析 (ASCA) 的应用,用于工具因素分析.
  • 评估使用多变量错误矩阵,图像直方图和K指数的预处理方法.
  • 对固体药品样本 (药丸和片) 的研究.

主要成果:

  • 多变量测量误差是复杂的,并且受到预处理技术的重大影响.
  • 样本特征,特别是固体药物形式,冲击误差概况.
  • ASCA提供了对关键仪器因素和方法限制的见解.
  • 对错误矩阵和总结统计的联合解释有助于评估预处理影响.

结论:

  • 介绍了一种分析小型NIR光谱测量误差的实用工作流程.
  • 该研究强调了考虑样本特性和预处理选择对于准确的NIR分析的重要性.
  • 这些发现有助于提高小型NIR仪器获得的结果的可靠性和准确性.