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Updated: Jul 6, 2026

Nanostructured Ag-zeolite Composites as Luminescence-based Humidity Sensors

Nanostructured Ag-zeolite Composites as Luminescence-based Humidity Sensors

Published on: November 15, 2016

Thermal luminescence sensor for ground-path contamination detection.

A H Carrieri¹, I F Barditch, D J Owens

¹U.S. Army Soldier and Biological Chemical Command, Edgewood Chemical Biological Center, 5183 Blackhawk Road, Aberdeen Proving Ground, Maryland 21010-5424, USA. arthur.carrieri@sbccom.apgea.army.mil

|March 8, 2008

Summary

This summary is machine-generated.

This study presents a standoff liquid detection method using thermal luminescence. The technique identifies liquid contaminants on surfaces by analyzing their unique molecular vibrations in the infrared spectrum.

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Luminescence Lifetime Imaging of O2 with a Frequency-Domain-Based Camera System

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Published on: December 16, 2019

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Nanostructured Ag-zeolite Composites as Luminescence-based Humidity Sensors

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Published on: November 15, 2016

Luminescence Lifetime Imaging of O2 with a Frequency-Domain-Based Camera System

Luminescence Lifetime Imaging of O₂ with a Frequency-Domain-Based Camera System

Published on: December 16, 2019

Area of Science:

Geoscience
Analytical Chemistry
Remote Sensing

Background:

Detecting liquid contaminants on diverse landscapes is crucial for environmental monitoring and safety.
Current methods may require close proximity or extensive sample processing.
Identifying subsurface or surface liquid layers efficiently remains a challenge.

Purpose of the Study:

To develop and demonstrate a standoff method for detecting interstitial liquid layers.
To utilize thermal luminescence and infrared spectroscopy for contaminant identification.
To optimize detection time for practical field applications.

Main Methods:

Employing a 2.45-GHz microwave beam (1.5 W cm(-1)) for surface irradiation.
Analyzing liberated thermal luminescence in the 7.14-14.29-microm infrared fingerprint region.
Utilizing difference-spectrum measurements within a thermal gradient detection window.

Main Results:

Successfully detected polydimethyl siloxane wetting soil by its characteristic Si-CH3 and Si-O-Si stretching modes.
Demonstrated the principle of identifying liquid contaminants via their unique molecular vibration signatures.
Established a detection window based on maximum surface thermal gradient post-irradiation.

Conclusions:

The presented standoff method effectively identifies liquid contaminants using thermal luminescence and infrared spectroscopy.
The technique offers potential for rapid, non-contact detection of liquid layers in various environments.
Further optimization aims to achieve sub-second detection times for enhanced field deployability.