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

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

2.6K
Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
2.6K
UV–Vis Spectrometers01:14

UV–Vis Spectrometers

1.3K
The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell.
1.3K
UV–Vis Spectrum01:30

UV–Vis Spectrum

1.1K
When light passes through a substance, a portion of the light is absorbed while the remaining light is reflected or transmitted. If the molecule absorbs light between the wavelengths of 180–400 nm range, the UV spectrum is obtained, and if it absorbs light in the 400–780 nm wavelength range, the visible spectrum is obtained.     
The UV–Vis spectrum of a molecule is the plot of its absorbance versus wavelength. The plot is drawn by taking molar...
1.1K
UV–Vis Spectroscopy: Beer–Lambert Law01:09

UV–Vis Spectroscopy: Beer–Lambert Law

2.8K
The Beer-Lambert law describes the relationship between absorbance and concentration, which combines the principles established by scientists Johann Heinrich Lambert and August Beer. Lambert's law states that when light passes through a medium, the loss in intensity is directly proportional to the original intensity and the path length of the light. Beer's law proposed that the transmittance of a solution remains constant if the product of concentration and path length is constant. The...
2.8K
UV–Vis Spectroscopy of Conjugated Systems01:32

UV–Vis Spectroscopy of Conjugated Systems

7.0K
Organic compounds with conjugated double bonds show strong absorption features in the UV–visible region of the electromagnetic spectrum attributed to π → π* electronic excitations. Generally, a UV–vis absorption spectrum is recorded as a plot of absorbance vs wavelength. The wavelength of maximum absorbance, which manifests as a peak in the absorption spectrum, is denoted as λmax.
One of the factors influencing λmax is the extent...
7.0K
UV–Vis Spectroscopy: Woodward–Fieser Rules01:29

UV–Vis Spectroscopy: Woodward–Fieser Rules

24.4K
UV–Visible absorption spectra of conjugated dienes arise from the lowest energy π → π* transitions. The light-absorbing part of the molecule is called the chromophore, and the substituents directly attached to the chromophore are called auxochromes. A strong correlation exists between the absorption maxima, λmax, and the structure of a conjugated π system. The Woodward–Fieser rules predict the value of λmax for a given...
24.4K

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

Challenges in the Practice of Sexual Medicine in the Time of COVID-19 in China.

The journal of sexual medicine·2020
Same author

Folic Acid Supplement Use and Increased Risk of Gestational Hypertension.

Hypertension (Dallas, Tex. : 1979)·2020
Same author

Correlation analysis between advanced glycation end products detected noninvasively and skin aging factors.

Journal of cosmetic dermatology·2020
Same author

Biochar-loaded Ce<sup>3+</sup>-enriched ultra-fine ceria nanoparticles for phosphate adsorption.

Journal of hazardous materials·2020
Same author

Zinc ion mediated synthesis of cuprous oxide crystals for non-enzymatic glucose detection.

Journal of materials chemistry. B·2020
Same author

Identification of potential crucial genes associated with the pathogenesis and prognosis of prostate cancer.

Biomarkers in medicine·2020

相关实验视频

Updated: Jul 6, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

10.6K

使用UV-Vis光谱学进行COD测量的改进预测模型.

Li Guan1, Yijun Zhou2, Sen Yang1

  • 1Industrial Perception and Intelligent Manufacturing Equipment Engineering Research Center of Jiangsu Province, Nanjing Vocational University of Industry Technology Nanjing 210023 China li.guan.nangong@foxmail.com.

RSC advances
|January 4, 2024
PubMed
概括

这项研究引入了一种改进的深度学习模型,用于准确测量地表水中的化学氧需求 (COD). 这种新方法通过减少噪音和提高可靠水质监测的概括性来增强UV-Vis光谱学.

更多相关视频

UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media
05:16

UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media

Published on: October 25, 2021

9.7K
O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.6K

相关实验视频

Last Updated: Jul 6, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

10.6K
UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media
05:16

UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media

Published on: October 25, 2021

9.7K
O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.6K

科学领域:

  • 环境科学 环境科学
  • 分析化学 分析化学
  • 频谱学是一种光谱学.

背景情况:

  • 有机污染物仍然是中国一个重要的水污染问题,需要精确监测化学氧气需求 (COD).
  • 紫外线-Vis光谱为在线COD监测提供了一种快速,绿色的检测方法,但易受度诱导的光谱噪声和不良模型概括的影响.
  • 现有的检测模型在复杂的地表水样本中与颗粒物干扰作斗争,限制了准确性.

研究的目的:

  • 为了提高传统的基于UV-Vis的COD检测模型的性能.
  • 在地表水谱分析中解决噪声敏感性和不良泛化问题.
  • 利用深度学习和先进的光谱预处理开发出一个强大而准确的COD预测模型.

主要方法:

  • 实施了改进的基于离散波段转换的噪声过器,以减轻光谱噪声.
  • 开发了一种新的深度学习网络,专门用于改进COD检测模型的泛化.
  • 从水样中收集并使用了2259个UV-Vis吸收光谱和相应的COD值的数据集.
  • 将降噪算法和新型COD检测网络集成到一个完整的预测模型管道中.

主要成果:

  • 开发的COD预测模型显示,噪声耐受性显著改善.
  • 该模型在从UV-Vis光谱中预测化学氧气需求方面取得了很高的准确性.
  • 实验结果验证了深度学习和预处理方法的有效性.

结论:

  • 拟议的深度学习模型与基于波纹的噪声过相结合,为在线COD监控提供了卓越的解决方案.
  • 这种方法有效地克服了处理复杂的地表水矩阵的传统方法的局限性.
  • 该研究为评估水质和管理污染提供了强大而准确的工具.