4.7 Article

Recent advances in electrochemical-based sensors amplified with carbon-based nanomaterials (CNMs) for sensing pharmaceutical and food pollutants

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CHEMOSPHERE
卷 304, 期 -, 页码 -

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2022.135182

关键词

Electrochemical sensors; Food pollutants; Pharmaceutical contaminants; Antibiotics; Heavy metals

资金

  1. Department of Chemistry and Research & development Cell of Maharishi Markandeshwar (Deemed to be University) , Mullana, Ambala, Haryana, India

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Foodborne-related infections due to additives and pollutants pose a challenge for food processing enterprises. Electrochemical sensors (ECS) offer a convenient and efficient analytical method for food protection and quality inspection. Carbon-based nanomaterials (CNMs) play a crucial role in designing high-performance ECS devices for medical diagnostics, environmental conditions, and food protection.
Foodborne-related infections due to additives and pollutants pose a considerable task for food processing enterprises. Therefore, the competent, cost-effective, and quick investigation of nutrition additives and contaminants is essential to reduce the threat of public fitness problems. The electrochemical sensor (ECS) shows facile and potent analytical approaches desirable for food protection and quality inspection over traditional methods. The consequence of a broad display of nanomaterials has paved the path for their relevance in designing highperformance ECSs appliances for medical diagnostics and conditions and food protection. This review article has discussed the importance of electrochemical-based sensors amplified with carbon-based nanomaterials (CNMs). Initially, we have demonstrated the types of pharmaceutical and food/agriculture pollutants (such as pesticides, heavy metals, antibiotics and other medical drugs) present in water. Subsequently, we have compiled the information on electrochemical techniques (such as voltammetric and electrochemical impedance spectroscopy) and their crucial parameters for detecting pollutants. Further, the applications of CNMs for sensing

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