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

Flame Photometry: Lab01:16

Flame Photometry: Lab

251
In a flame photometer, when a solution like potassium chloride is aspirated into the flame, the solvent evaporates, leaving behind dehydrated salt. This salt dissociates into free gaseous atoms in their ground state. Some of these atoms absorb energy from the flame, leading to their excitation. The excited atoms return to the ground state, emitting photons at characteristic wavelengths. Because only electronic transitions are involved, the resulting emission lines are very narrow. The intensity...
251

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

Direct Laser-Induced Breakdown Spectroscopy Analysis of Estuarine Suspended Particulate Matter Collected on Filters.

Molecules (Basel, Switzerland)·2026
Same author

Optical Detection of Water Adulteration in Ethanol Using PCPDTBT-Conjugated Polymer Nanoparticles.

ACS omega·2026
Same author

Targeted Inhibition of Photosystem II Electron Transport Using Bioherbicide-Loaded Ultrasmall Nanodevices.

ACS omega·2025
Same author

PCPDTBT Conjugated Polymer Nanoparticles for Photothermal Inactivation of Multidrug-Resistant <i>mcr‑1</i>-Positive <i>Escherichia coli</i>.

ACS omega·2025
Same author

Influence of Biodiesel Content on Fluorescence Anisotropy of Undiluted Diesel-Biodiesel Blends Using Anisotropy-Resolved Multidimensional Emission Spectroscopy (ARMES).

ACS omega·2025
Same author

Improving Bovine Brucellosis Diagnostics: Rapid, Accurate Detection via Blood Serum Infrared Spectroscopy and Machine Learning.

ACS omega·2025

相关实验视频

Updated: Jul 7, 2025

Author Spotlight: Employing Green-Chemistry Principles for Safe and Sustainable Synthesis of Biodiesels
04:40

Author Spotlight: Employing Green-Chemistry Principles for Safe and Sustainable Synthesis of Biodiesels

Published on: April 19, 2024

1.1K

一种基于光的多变量方法,用于在未经稀释的柴油-生物柴油混合物中量化生物柴油,而无需样本制备.

Fernando R Conceição1, Flávio S Michels2, Evaristo A Falcão3

  • 1Optics and Photonics Group, Institute of Physics, Federal University of Mato Grosso do Sul, PO Box 549, 79070-900 Campo Grande, MS, Brazil; Federal Institute of Mato Grosso do Sul, 79750-000 Nova Andradina, SP, Brazil.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|December 24, 2023
PubMed
概括

本研究介绍了一种使用激发发射矩阵 (EEM) 和并行因子分析 (PARAFAC) 的快速方法,在没有样本准备的情况下,在柴油-生物柴油混合物 (DBB) 中量化生物柴油. 开发的EEMs-PARAFAC模型准确地确定未稀释混合物的生物柴油含量.

关键词:
生物柴油是一种生物柴油.柴油柴油的使用方法在EEM中,你会看到EEM.光是一种光效应.在PARAFAACAC中使用.量化 量化 量化 量化

更多相关视频

Fluorescent Paper Strips for the Detection of Diesel Adulteration with Smartphone Read-out
07:10

Fluorescent Paper Strips for the Detection of Diesel Adulteration with Smartphone Read-out

Published on: November 9, 2018

9.4K
Fluorescence detection methods for microfluidic droplet platforms
14:16

Fluorescence detection methods for microfluidic droplet platforms

Published on: December 10, 2011

22.2K

相关实验视频

Last Updated: Jul 7, 2025

Author Spotlight: Employing Green-Chemistry Principles for Safe and Sustainable Synthesis of Biodiesels
04:40

Author Spotlight: Employing Green-Chemistry Principles for Safe and Sustainable Synthesis of Biodiesels

Published on: April 19, 2024

1.1K
Fluorescent Paper Strips for the Detection of Diesel Adulteration with Smartphone Read-out
07:10

Fluorescent Paper Strips for the Detection of Diesel Adulteration with Smartphone Read-out

Published on: November 9, 2018

9.4K
Fluorescence detection methods for microfluidic droplet platforms
14:16

Fluorescence detection methods for microfluidic droplet platforms

Published on: December 10, 2011

22.2K

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:

  • 生物柴油是一种可再生燃料,但在混合物中精确的量化是至关重要的.
  • 传统的生物柴油量化方法通常需要样本准备,增加分析时间和成本.
  • 开发快速,准确和无样本准备的生物柴油含量分析方法是非常理想的.

研究的目的:

  • 开发和验证一种分析模型,用于量化未稀释柴油-生物柴油混合物 (DBB) 中的生物柴油含量.
  • 使用激发发射矩阵 (EEM) 与并行因子分析 (PARAFAC) 结合,以快速准确地评估生物柴油.
  • 建立一种消除了预先样本准备的方法.

主要方法:

  • 采购用于柴油-生物柴油混合物的激发-排放矩阵 (EEM).
  • 使用并行因子分析 (PARAFAC) 来提取相关组件的EEM分解.
  • 基于PARAFAC负载值的定量分析模型的开发.
  • 使用LOD,LOQ,RMSEP和偏差等统计参数验证模型.

主要成果:

  • 通过EEMs-PARAFAC模型,成功量化了未经稀释的DBB中的生物柴油含量.
  • 分析模型显示检测极限 (LOD) 为2.5%,量化极限 (LOQ) 为11% w/w.
  • 通过对预测错误和偏差的严格统计分析来证实模型的稳定性.

结论:

  • 基于EEMs-PARAFAC的准确和强大的分析模型被开发用于生物柴油量化.
  • 该方法提供了显著的优势,因为它消除了在DBB分析中需要样本准备的需要.
  • 这种方法为评估燃料混合物的生物柴油含量提供了快速有效的工具.