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Review of plant exposure analysis and monitoring methods for chemical warfare agents

Gang Qu · Ruiqian Zhang · Bo Chen · Zhongfang Xing · Yuxin Zhao · Luyue Jin · Yang Yang · Shilei Liu

Journal of the Chinese Chemical Society · 13 May 2025 · 10.1002/jccs.70018

Abstract

Abstract The Organization for the Prohibition of Chemical Weapons (OPCW) enforces strict regulations on the production, storage, and use of chemical warfare agents (CWAs). However, in recent decades, terrorist incidents involving the use of CWAs have remained frequent, posing a persistent and serious threat to global security. Plants have emerged as a promising medium for detecting CWAs exposure or toxic chemical leaks due to their wide availability, straightforward sample preparation, and the absence of ethical concerns associated with animal testing. When plants are exposed to CWAs or toxic chemicals, various components within their tissues can react with these agents, generating specific biomarkers of exposure; the detection of these biomarkers enables accurate traceability of CWAs exposure. Furthermore, when plants are subjected to stress from external toxic substances, their phenotypic characteristics undergo significant changes. These changes can be non‐destructively analyzed using hyperspectral imaging (HSI) technology, offering rapid monitoring and early warning for laboratory analysis of chemical exposure or toxic chemical leaks. This article presents a comprehensive review of the detection of metabolites and adducts produced in plants exposed to sulfur mustards, nitrogen mustards, sarin (GB), soman (GD), VX, Russian VX (RVX), and chlorine, as well as the monitoring of plant phenotypic changes using HSI technology over the past decade. The review aims to inspire further discoveries of novel plant biomarkers and inform research related to plant exposure to CWAs.

Code and data availability

This is a review article on plant exposure analysis for chemical warfare agents. It cites prior studies (e.g., Zhu et al., Xing et al., Shen et al.) but presents no paper-specific datasets, images, code, or models of its own. The data availability statement explicitly states data are only available on request and not公开

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