Abstract

This review describes an ongoing effort intended to develop wireless sensor networks for real-time monitoring of airborne targets across a broad area. The goal is to apply the spectrophotometric characteristics of porphyrins and metalloporphyrins in a colorimetric array for detection and discrimination of changes in the chemical composition of environmental air samples. The work includes hardware, software, and firmware design as well as development of algorithms for identification of event occurrence and discrimination of targets. Here, we describe the prototype devices and algorithms related to this effort as well as work directed at selection of indicator arrays for use with the system. Finally, we review the field trials completed with the prototype devices and discuss the outlook for further development.

Highlights

  • This review addresses the development of a sensor system intended to offer utility in a wireless sensor network for real-time monitoring of airborne chemical targets

  • Past efforts to detect such threats have applied a variety of techniques, including Raman and IR spectroscopy [1,2,3,4,5], gas or liquid chromatography coupled with mass spectroscopy [6,7,8,9], classic wet chemical assays [10,11], and others

  • This review addresses development of a sensor system intended for distributed autonomous applications, the Array-Based Environmental Air Monitor (ABEAM)

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Summary

Introduction

This review addresses the development of a sensor system intended to offer utility in a wireless sensor network for real-time monitoring of airborne chemical targets. Past efforts to detect such threats have applied a variety of techniques, including Raman and IR spectroscopy [1,2,3,4,5], gas or liquid chromatography coupled with mass spectroscopy [6,7,8,9], classic wet chemical assays [10,11], and others For many of these methods, samples are collected at the point of interest and sent to central laboratories for processing. Significant research and modeling of plume dispersion, in urban environments, points to the weakness of single detector deployment and the need for a more distributed network [14,15,16,17,18,19,20,21,22,23] The idea behind this approach is to utilize. We will review the key components of the devices as well as specific results for their evaluation

Indicators
Porphyrin Based Chemical Detection
Antimicrobial Peptide Based Biological Detection
Devices
Algorithms
Standard Deviation Algorithm
Demonstration and Evaluation
Normalized color value datasetcollected collected for
10. Ethylene exposures
Ongoing Work
Conclusions and Future Outlook
Findings
Patents
Full Text
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