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

UV–Vis Spectrometers01:14

UV–Vis Spectrometers

1.5K
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.
1.5K
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

540
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
540
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

3.1K
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...
3.1K

You might also read

Related Articles

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

Sort by
Same author

Discriminant Analysis of Urine Vitamin C by Visible Spectrum Based on Ultra-Dimensionality Reduction and Information Enhancement Technology.

Journal of biophotonics·2026
Same author

Pet food brand discrimination <i>via</i> near-infrared spectroscopy combined with modified SPA-SI information enhancement.

Analytical methods : advancing methods and applications·2026
Same author

Micro-Stress Support-Enhanced Two-Plate Shearing Absolute Testing for Φ800 mm Interferometers.

Sensors (Basel, Switzerland)·2026
Same author

Solvent- and catalyst-free bio-conversion of waste polyurethane foams into high-performance 3D printing resin.

National science review·2025
Same author

4D printing of trigger-free shape-memory hydrogels towards self-adaptive substrates for bioelectronics.

Nature communications·2025
Same author

Accessing Multi-Material Liquid Crystal Elastomers Via Digitally Programmable Network Topologies.

Advanced materials (Deerfield Beach, Fla.)·2025

Related Experiment Video

Updated: Sep 17, 2025

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
08:49

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

Published on: December 1, 2023

1.6K

An innovative multispectral sensor for rapid wine adulteration detection using wavelength selection algorithms.

Chengbo Yang1, Jingjun Wu2, Zhouqing Qian1,3

  • 1School of Aeronautics and Astronautics, Xihua University, Chengdu 610039, China. 18408212738@163.com.

Analytical Methods : Advancing Methods and Applications
|July 2, 2025
PubMed
Summary

This study developed a low-cost, four-channel spectral sensor for rapid wine adulteration detection. The device achieves high accuracy (97.47%) using a random forest model and spectral index methods.

More Related Videos

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

10.7K
A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants
08:13

A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants

Published on: February 19, 2016

9.5K

Related Experiment Videos

Last Updated: Sep 17, 2025

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
08:49

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

Published on: December 1, 2023

1.6K
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

10.7K
A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants
08:13

A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants

Published on: February 19, 2016

9.5K

Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Chemometrics

Background:

  • Wine adulteration poses risks to consumers and producers.
  • Spectroscopic technology combined with chemometrics offers a viable solution for wine adulteration detection.
  • Developing affordable, consumer-grade detection equipment is a key objective.

Purpose of the Study:

  • To develop a low-cost, four-channel spectroscopic device for rapid wine adulteration identification.
  • To utilize wavelength selection algorithms to guide the design of the spectroscopic sensor.
  • To establish a robust discrimination model for accurate adulteration detection.

Main Methods:

  • Acquisition of Visible-Near Infrared (Vis-NIR) spectra using a miniature spectrometer.
  • Application of successive projections algorithm (SPA), spectral degradation, and traversal methods for wavelength selection.
  • Development of a 4-channel spectral sensor using a CCD camera and four filters.
  • Establishment of a random forest (RF) discrimination model enhanced by an improved spectral index (SI) method.

Main Results:

  • The developed multispectral sensor achieved high accuracy (97.47%) in identifying wine adulteration.
  • The sensor is characterized by its small size and low cost, making it suitable for consumer-grade applications.
  • The integrated approach of SPA, SI, spectral degradation, and traversal methods effectively determined optimal wavelengths and resolution for sensor construction.

Conclusions:

  • A snapshot-based multispectral sensor can accurately and cost-effectively detect wine adulteration.
  • The study provides a framework for designing dedicated spectral sensors by optimizing wavelength selection and model performance.
  • This technology has the potential to protect consumer rights and the integrity of the wine market.