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

Information coding in artificial olfaction multisensor arrays.

Keith J Albert1, David R Walt

  • 1The Max Tishler Laboratory for Organic Chemistry, Department of Chemistry, Tufts University, Medford, Massachusetts 02155, USA.

Analytical Chemistry
|November 25, 2003
PubMed
Summary

This study compares two methods for extracting odor information from sensor arrays. The ensemble approach, which combines sensor responses, efficiently discriminates odors with comparable performance to individual sensor analysis.

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

Blinded 2-Year Longitudinal Evaluation of SARS-CoV-2 Antigenemia in Long COVID.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2026
Same author

Digital seed amplification assay for TDP-43 aggregate quantification in CSF.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Differences in SARS-CoV-2 Antigen Persistence in Individuals With Systemic Autoimmune Rheumatic Diseases Compared to the General Population: A RECOVER-Adult Cohort Study.

Arthritis & rheumatology (Hoboken, N.J.)·2026
Same author

High-throughput single-vesicle imaging platform for direct extracellular vesicle profiling of human plasma.

Nature communications·2026
Same author

Endovascular profiles linked to neutrophil activation in children and young adults with long COVID.

Pediatric research·2026
Same author

Attomolar fecal cytokine profiling reveals gut immune dynamics and disease states.

bioRxiv : the preprint server for biology·2026

Area of Science:

  • Chemosenory science
  • Bioinformatics
  • Sensor technology

Background:

  • Odor discrimination relies on interpreting complex sensor response patterns.
  • Extracting meaningful information from high-density sensor arrays is challenging.
  • Mammalian olfactory systems efficiently process complex odor information.

Purpose of the Study:

  • To compare two distinct signal extraction methods for odor discrimination using microbead vapor sensor arrays.
  • To evaluate the efficiency and performance of individual sensor processing versus ensemble data analysis.
  • To explore potential parallels between artificial olfactory system coding and mammalian olfactory processing.

Main Methods:

  • Preparation of high-density sensor arrays with microbead vapor sensors.

Related Experiment Videos

  • Implementation of two signal extraction approaches: decoded array (individual sensor processing) and nondecoded array (ensemble processing).
  • Analysis of sensor response profiles following odor stimuli for odor discrimination.

    • Main Results:

    • Both decoded and nondecoded array approaches achieved comparable odor discrimination rates.
    • The nondecoded (ensemble) approach significantly reduced the amount of response data processed.
    • The ensemble approach streamlined system resources without compromising odor discrimination performance.

    Conclusions:

    • Ensemble signal extraction is an efficient method for odor discrimination with high-density sensor arrays.
    • This approach conserves system resources while maintaining performance.
    • The findings suggest that ensemble coding may mimic information processing in biological olfactory systems.