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

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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...
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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.     
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Updated: May 10, 2025

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Lavender hydrosol analysis using UV spectroscopy data and partial least squares regression.

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
Summary
This summary is machine-generated.

This study estimates lavender hydrosol composition using UV-Vis spectrophotometry and machine learning. The developed model accurately predicts essential oil component changes, enabling process monitoring.

Keywords:
Hydrosol analysisLavenderLavender hydrosol analysis using UV–Vis spectroscopy and partial least squares regressionPartial least squares regressionUV–Vis

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Area of Science:

  • Analytical Chemistry
  • Chemometrics
  • Process Analytical Technology

Background:

  • Lavender hydrosol, a byproduct of essential oil distillation, contains valuable dissolved components.
  • Characterizing hydrosol composition is crucial for process optimization and byproduct valorization.
  • Traditional methods for hydrosol analysis can be time-consuming and resource-intensive.

Purpose of the Study:

  • To develop a machine learning model for estimating lavender hydrosol composition.
  • To utilize UV-Vis spectrophotometry as a rapid analytical tool for hydrosol analysis.
  • To establish a soft sensor for real-time monitoring of essential oil components in hydrosol.

Main Methods:

  • Lavender hydrosol samples were analyzed using UV-Vis spectrophotometry (200-600 nm).
  • Dissolved essential oil components were extracted using liquid-liquid extraction with pentane, heptane, and diethyl ether.
  • Gas Chromatography-Mass Spectrometry (GC-MS) was used for composition analysis, and Partial Least Squares (PLS) regression built the predictive model.

Main Results:

  • A PLS model was developed, achieving an R-squared score above 0.95 during cross-validation.
  • The model effectively correlated changes in hydrosol composition with UV-Vis spectral data.
  • The developed model demonstrated high accuracy in predicting the extracted mass of essential oil components.

Conclusions:

  • UV-Vis spectrophotometry combined with PLS regression provides a reliable method for estimating lavender hydrosol composition.
  • The developed soft sensor allows for direct, real-time characterization of hydrosol during steam distillation.
  • This approach offers a faster and potentially more cost-effective alternative to traditional analytical techniques for hydrosol analysis.