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 Experiment Videos

Electronic nose based tea quality standardization.

Ritaban Dutta1, K R Kashwan, M Bhuyan

  • 1Department of Engineering, University of Warwick, Coventry CV4 7AL, UK.

Neural Networks : the Official Journal of the International Neural Network Society
|July 10, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Comparative study of magnetic and electric quadrupole moments in boron (<sub>5</sub>B) isotopes.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2026
Same author

Black Hole Spectroscopy and Tests of General Relativity with GW250114.

Physical review letters·2026
Same author

GW250114: Testing Hawking's Area Law and the Kerr Nature of Black Holes.

Physical review letters·2025
Same author

Effect of plasma confinement magnets on ROBIN (RF-operated beam source in India for negative ions) performance.

The Review of scientific instruments·2025
Same author

Artificial intelligence automates the characterization of reversibly actuating planar-flow-casted NiTi shape memory alloy foil.

PloS one·2022
Same author

Overview of diagnostics on a small-scale RF source for fusion (ROBIN) and the one planned for the diagnostic beam for ITER.

The Review of scientific instruments·2022

An electronic nose (EN) using metal oxide sensors (MOS) accurately classified five tea qualities. This technology offers a faster, more precise alternative to traditional tea flavor analysis methods.

Area of Science:

  • * Food Science and Technology
  • * Analytical Chemistry
  • * Sensor Technology

Background:

  • * Tea flavor is determined by complex volatile organic compounds (VOCs), with traditional analysis methods being time-consuming and inaccurate.
  • * Current methods rely on human sensory panels or conventional instrumentation, lacking sensitivity and quantitative data.
  • * Developing objective, efficient methods for tea quality assessment is crucial for the industry.

Purpose of the Study:

  • * To investigate the use of a metal oxide sensor (MOS) based electronic nose (EN) for analyzing tea flavor.
  • * To explore the potential of EN technology to replace traditional analytical and organoleptic profiling methods.
  • * To achieve accurate classification of tea samples with varying processing conditions.

Main Methods:

Related Experiment Videos

  • * Utilized an electronic nose comprising an array of 4 MOS sensors to detect VOCs in tea headspace.
  • * Employed signal conditioning, Principal Component Analysis (PCA), and Fuzzy C-Means (FCM) for data processing.
  • * Integrated Self-Organizing Map (SOM) for feature extraction and Radial Basis Function (RBF) networks for classification.

Main Results:

  • * Achieved 100% correct classification of five distinct tea samples based on their quality and processing variations.
  • * Demonstrated the electronic nose's capability to discriminate subtle flavor differences arising from fermentation and firing.
  • * Validated the effectiveness of FCM and SOM feature extraction combined with RBF neural networks.

Conclusions:

  • * The MOS-based electronic nose is a highly effective tool for objective tea flavor discrimination.
  • * This technology presents a viable, accurate, and efficient alternative to conventional tea quality assessment methods.
  • * The developed EN system can reliably identify teas processed under different conditions, ensuring quality control.