Detection of Potential Biological and Chemical Threat Agents by Al-Driven Electronic Nose

Year 2025, Volume: 21 Issue: 2, 173 - 197

Mehmet Milli

https://doi.org/10.56850/jnse.1693081

Abstract

The detection of potential biological threat elements is of vital importance in terms of environmental monitoring, public health, and public safety. The possibility of future military or terrorist use of such biological agents poses a serious risk to global security. Therefore, early detection of the threat plays a critical role in taking effective measures against a possible biological attack and putting emergency action plans into effect on time. In this study, an electronic nose system that can safely and effectively identify complex gas mixtures was designed by developing an artificial intelligence-based model on the data collected using a sensitive gas sensor matrix. However, in research studies, the direct use of highly hazardous biological and chemical agents is not possible due to high-security risks, ethical concerns, and legal restrictions. Therefore, in this study, a simulation environment was established to represent complex biological and chemical gas elements. The collected data was analysed with the Artificial Neural Network model, which is known to show strong performance in gas recognition tasks. The findings indicate that this approach can be used to detect potential biological threats and that electronic nose technologies can be evaluated in the field of security with artificial intelligence-supported applications.

Keywords

Biological Threat , Deep Learning , BME688 , Gas Sensors , Hazardous Gases.

Ethical Statement

An ethical committee approval and/or legal/special permission has not been required within the scope of this study.

Supporting Institution

The author declares that no funding was received for this research.

Thanks

The author would like to thank Musa Milli for his support during the study.

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