Nanohybrid approaches for precise analytical screening of trace contaminants in complex environmental and biological matrices

Abstract

In complex biological and environmental matrices, nanohybrid technologies have become effective instruments for the accurate analytical screening of trace contaminants. By combining organic and inorganic components, these hybrid materials provide improved pollutant detection sensitivity, selectivity, and multifunctionality. Their uses include pharmaceutical residue screening, microbial contamination detection, and environmental monitoring. Highly accurate real-time analysis is made possible by sophisticated nanohybrid sensors, such as metal-doped electrochemical sensors and nano-quantum dot sensors. Furthermore, contamination analysis is being advanced by AI-driven optimization and multimodal detection techniques. Notwithstanding their potential, issues like environmental impact, reproducibility, and stability need to be resolved before they can be widely used. To increase productivity and reduce environmental hazards, future advancements should concentrate on AI-assisted detection models and sustainable synthesis techniques.