Chemical warfare agent recognition by using a practical mobile application for the first responders

This study describes the development of a mobile application designed to enable first responders and at-risk personnel to achieve rapid and accurate on-site identification of toxic chemical substances. The prompt identification of toxic agents-which can pose significant health risks through inhalation or dermal absorption-is critical for effective triage, appropriate medical intervention, and personnel safety. The mobile application integrates environmental cues with a comprehensive database of clinical signs and symptoms specific to chemical toxins. Its core functionality allows users to input observable environmental indicators, such as the odor, color, and nature of the smoke or vapor produced by chemical agents. Furthermore, it accounts for physical properties like density and volatility, such as whether the agent remains suspended in the air or settles on the ground. Simultaneously, the application guides first responders through a systematic assessment by processing environmental findings alongside the symptoms displayed by exposed individuals. By cross-referencing these environmental and clinical data points within an algorithm, the application provides a probable agent identification. By doing so, it enables first responders to rapidly implement appropriate decontamination and medical management protocols. Ultimately, this tool aims to protect first responders while improving clinical outcomes for casualties.

Authors

Institutions

Publication Details

Journal
Bulletin of Biotechnology
Published
2026-06-29
DOI
https://doi.org/10.51539/biotech.1873814
Primary Topic
Pesticide Exposure and Toxicity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chemical warfare agent recognition by using a practical mobile application for the first responders

Ömer Aran, Onur Genç, Alì Ìhsan Uzar, Rusen Koray Eyisonz
Bulletin of Biotechnology
Pesticide Exposure and Toxicity
article

Chemical warfare agent recognition by using a practical mobile application for the first responders

Ömer Aran, Onur Genç, Alì Ìhsan Uzar, Rusen Koray Eyisonz
article en

Abstract

This study describes the development of a mobile application designed to enable first responders and at-risk personnel to achieve rapid and accurate on-site identification of toxic chemical substances. The prompt identification of toxic agents-which can pose significant health risks through inhalation or dermal absorption-is critical for effective triage, appropriate medical intervention, and personnel safety. The mobile application integrates environmental cues with a comprehensive database of clinical signs and symptoms specific to chemical toxins. Its core functionality allows users to input observable environmental indicators, such as the odor, color, and nature of the smoke or vapor produced by chemical agents. Furthermore, it accounts for physical properties like density and volatility, such as whether the agent remains suspended in the air or settles on the ground. Simultaneously, the application guides first responders through a systematic assessment by processing environmental findings alongside the symptoms displayed by exposed individuals. By cross-referencing these environmental and clinical data points within an algorithm, the application provides a probable agent identification. By doing so, it enables first responders to rapidly implement appropriate decontamination and medical management protocols. Ultimately, this tool aims to protect first responders while improving clinical outcomes for casualties.

Bulletin of BiotechnologyVol. 7(1)
Defense Information Systems Agency (US), Gülhane Askerî Tıp Akademisi (TR), Sağlık Bilimleri Üniversitesi (TR)
Openalex Percentile: Top 9%
Pesticide Exposure and Toxicity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.