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Gas Chromatography: Types of Detectors-II

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In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...

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Updated: Jul 5, 2026

Detection and Isolation of Circulating Melanoma Cells using Photoacoustic Flowmetry

Detection and Isolation of Circulating Melanoma Cells using Photoacoustic Flowmetry

Published on: November 25, 2011

Identification of melanoma with a gas sensor array.

A D'Amico¹, R Bono, G Pennazza

¹Department of Electronic Engineering, University of Rome Tor Vergata, Roma, Italy.

Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)

|April 17, 2008

Summary

Electronic nose sensors can differentiate between malignant melanomas and benign nevi by detecting volatile organic compounds. This technology shows promise for identifying skin cancer lesions.

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Detection and Isolation of Circulating Melanoma Cells using Photoacoustic Flowmetry

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Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

Area of Science:

Biomedical Engineering
Analytical Chemistry
Dermatology

Background:

Altered cellular metabolism in diseases, particularly cancer, leads to changes in emitted airborne chemicals.
Previous studies have shown altered breath composition in lung cancer patients.
Sensor arrays are increasingly used to analyze chemical composition changes in various applications, including food quality and disease detection.

Purpose of the Study:

To present the first application of sensor arrays for differentiating between melanomas (malignant) and nevi (benign).
To investigate the potential of electronic nose technology for non-invasive skin lesion analysis.

Main Methods:

Utilized differential measurements on adjacent skin regions to capture chemical headspace differences.
Employed sensor arrays (electronic nose) to analyze volatile organic compounds (VOCs) from skin lesions.
Involved 40 cases, including 10 diagnosed melanomas, with gas-chromatographic verification.

Main Results:

Demonstrated differences in the chemical composition of skin lesion headspace between melanomas and nevi.
Achieved a cross-validated accuracy comparable to current diagnostic instruments using electronic nose data classification.
Gas-chromatographic analysis confirmed the chemical differences detected by the sensor array.

Conclusions:

Electronic nose sensors exhibit high sensitivity to VOCs emitted by skin lesions, proving effective for identifying malignant lesions.
The findings support further research with larger cohorts and advanced techniques like gas chromatography-mass spectrometry (GC-MS) to identify melanoma biomarkers.
This approach offers a promising non-invasive method for melanoma detection and diagnosis.