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相关概念视频

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

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

2.4K
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...
2.4K
UV–Vis Spectrometers01:14

UV–Vis Spectrometers

1.2K
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.
1.2K
UV–Vis Spectrum01:30

UV–Vis Spectrum

988
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...
988
UV–Vis Spectroscopy: Beer–Lambert Law01:09

UV–Vis Spectroscopy: Beer–Lambert Law

1.6K
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...
1.6K
UV–Vis Spectroscopy of Conjugated Systems01:32

UV–Vis Spectroscopy of Conjugated Systems

6.7K
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...
6.7K
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

1.1K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
1.1K

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相关实验视频

Updated: May 10, 2025

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

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使用紫外线光谱数据和部分最小平方回归的衣草水溶分析.

Sára Preiner1, Bálint Levente Tarcsay1, Dóra Pethő1

  • 1Research Centre for Biochemical, Environmental and Chemical Engineering, University of Pannonia, Egyetem st.10, Veszprém, 8200, Hungary.

MethodsX
|April 21, 2025
PubMed
概括

这项研究使用UV-Vis光谱测量和机器学习估计了衣草水溶成分. 开发的模型准确地预测了精油组件的变化,使过程监控成为可能.

科学领域:

  • 分析化学 分析化学
  • 化学测量 化学测量 化学测量
  • 过程分析技术 过程分析技术

背景情况:

  • 衣草水溶液是精油蒸的副产品,含有有价值的溶解成分.
  • 描述水溶成分对于过程优化和副产品价值化至关重要.
  • 传统的水溶盐分析方法可能耗时且资源密集.

研究的目的:

  • 开发一种机器学习模型,用于估计衣草水溶成分.
  • 利用UV-Vis光谱光度计作为水溶分析的快速分析工具.
  • 建立一个软传感器,实时监测水溶中精油成分.

主要方法:

  • 使用UV-Vis光谱光度 (200-600nm) 分析了衣草水溶液样本.
  • 溶解的精油成分被提取使用液体-液体提取与,和乙烯.
  • 气色谱-质谱 (GC-MS) 用于组合分析,部分最小平方 (PLS) 回归构建了预测模型.

主要成果:

  • 开发了一个PLS模型,在交叉验证过程中获得了超过0.95的R平方得分.
  • 该模型有效地将水溶成分的变化与UV-Vis光谱数据相关联.
  • 开发的模型在预测精油成分的提取质量方面表现出很高的准确性.
关键词:
水溶分析的方法衣草是一种衣草.使用UVV光谱和部分最小平方回归的衣草水溶分析.部分最小平方回归.紫外线 UVVis 的使用.

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

  • 与PLS回归相结合的UV-Vis光谱摄影法提供了一种可靠的方法来估计衣草水溶成分.
  • 开发的软传感器允许在蒸汽蒸过程中直接实时表征水溶.
  • 这种方法为水溶分析的传统分析技术提供了更快,更具成本效益的替代方案.