Advancements in Poisoning Detection: From Traditional Methods to Next-Generation Technologies

The evolution of poisoning detection methods has progressed from conventional approaches to cutting-edge technologies. Initially relying on basic chemical assays and visual cues, toxicology has advanced through chromatography, mass spectrometry, and immunoassays, improving accuracy and expanding toxin identification. However, limitations remained, driving the development of next-generation innovations. The integration of nanotechnology and biosensors has led to portable, real-time toxin monitoring systems, while molecular techniques like PCR and DNA microarrays enable genetic marker identification. Artificial intelligence and machine learning analyze extensive datasets, predicting poisoning events and aiding rapid intervention. Metabolomics and proteomics provide comprehensive biological sample profiling for a holistic understanding. This abstract showcases the transition from rudimentary methods to advanced technologies, highlighting the synergy of chemistry, biology, nanotechnology, and AI in modern poisoning detection.

Poisoning, a condition resulting from exposure to toxic substances, remains a significant global health concern. This research article delves into the advancements in the field of poisoning detection and treatment. The article highlights various methods of detection, ranging from traditional to modern techniques, including advances in diagnostic technologies. Additionally, the paper reviews contemporary treatment approaches, encompassing both general supportive care and targeted antidotal therapies. By exploring these developments, this article aims to provide a comprehensive overview of the current landscape of poisoning management, with a focus on optimizing patient outcomes and reducing morbidity and mortality.

Keywords

Poisoning detection; Traditional methods; Next-generation technologies; Toxicology; Chemical assays; Chromatography; Mass spectrometry; Immunoassays; Nanotechnology; Machine learning

Published Date: 2023-08-30; Received Date: 2023-08-01