Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
UV–Vis Spectrometers01:14

UV–Vis Spectrometers

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

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

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 electronic transitions. As a result...
UV–Vis Spectroscopy of Conjugated Systems01:32

UV–Vis Spectroscopy of Conjugated Systems

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 of conjugation in the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A dual-matrix analytical framework integrating bio-inspired machine learning and Sobol-optimized UV spectrophotometry for five-analyte quantification: comprehensive sustainability assessment.

BMC chemistry·2026
Same author

Green spectrofluorimetric determination of Ibrexafungerp using NBD-Cl derivatization.

Scientific reports·2026
Same author

Novel Monoazo Dispersion Dyes Incorporating a 4-thiazolidinone Moiety: Synthesis, Structural Characterization, Molecular Docking, and Anticancer Investigations.

Current medicinal chemistry·2026
Same author

A Sustainable Spectrofluorimetric Method for Lisinopril Determination Using Erythrosin B Fluorescence Quenching With Mechanistic Characterization, Quantum Mechanical Modeling, and Green Chemistry Evaluation.

Luminescence : the journal of biological and chemical luminescence·2026
Same author

Fedorov algorithm-optimized chemometric spectrophotometry for cefepime-tazobactam microanalysis in plasma and pharmaceuticals with integrated MA and NQS sustainability assessment.

Scientific reports·2026
Same author

Identification of compounds from Origanum compactum and Origanum elongatum using HPLC/UV-ESI-MS and comparative analysis of their antioxidant, antimicrobial, anticoagulant, and antidiabetic properties.

Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society·2026

Related Experiment Video

Updated: Jun 11, 2026

Fabricating a UV-Vis and Raman Spectroscopy Immunoassay Platform
09:02

Fabricating a UV-Vis and Raman Spectroscopy Immunoassay Platform

Published on: November 10, 2016

Machine learning-enhanced UV spectrophotometric platform for multicomponent analysis in biological matrices.

Ahmed Emad F Abbas1, Khadiga M Kelani2, Omkulthom Al Kamaly3

  • 1Analytical Chemistry Department, Faculty of Pharmacy, October 6 University, 6 October City, Giza, 12585, Egypt.

Analytical Biochemistry
|June 9, 2026
PubMed
Summary

This study introduces a novel bioanalytical framework using machine learning and UV spectrophotometry to accurately analyze multiple components in biological samples. The sustainable approach enhances analytical power for complex systems like human plasma.

Keywords:
Bioanalytical platformMachine learningMultivariate UV spectrophotometrySpectral variable selectionSustainable analytical chemistry

More Related Videos

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Published on: May 20, 2013

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

Related Experiment Videos

Last Updated: Jun 11, 2026

Fabricating a UV-Vis and Raman Spectroscopy Immunoassay Platform
09:02

Fabricating a UV-Vis and Raman Spectroscopy Immunoassay Platform

Published on: November 10, 2016

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Published on: May 20, 2013

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

Area of Science:

  • Bioanalytical Chemistry
  • Chemometrics
  • Spectrophotometry

Background:

  • Analyzing complex biological mixtures with UV spectrophotometry is challenging due to spectral overlap and matrix interference.
  • Developing sustainable analytical methods is a key objective in modern bioanalysis.

Purpose of the Study:

  • To introduce a computationally engineered dual-matrix bioanalytical framework for multicomponent determination in complex biological systems.
  • To enhance the resolving power of UV spectrophotometry using machine learning and optimized experimental design.

Main Methods:

  • Integrated machine learning-assisted chemometric modeling with statistically optimized experimental design.
  • Employed factorial experimental design and Sobol quasi-random sampling for dataset construction.
  • Utilized a Firefly Algorithm-optimized partial least squares (FA-PLS) model for spectral dimensionality reduction and wavelength selection.

Main Results:

  • Achieved high predictive accuracy and robustness in human plasma analysis, with recoveries of 98.46-100.45% and low RMSEP values.
  • Demonstrated the framework's generalizability across different biological matrices.
  • Sustainability assessment confirmed reduced solvent consumption and environmental impact.

Conclusions:

  • The proposed framework offers a versatile and sustainable solution for multianalyte determination in complex biological matrices.
  • This approach overcomes limitations of traditional UV spectrophotometry in bioanalysis.
  • The study highlights the potential of integrating advanced computational tools for greener analytical methodologies.