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Recent advances in enzyme-based metal nanoparticles as colorimetric biosensors for the detection of pesticides: A review


Citation

Kamaruddin, Nor Khairun Bariah and Alang Ahmad, Shahrul Ainliah and Abdul Ghani, Anis and UNSPECIFIED (2025) Recent advances in enzyme-based metal nanoparticles as colorimetric biosensors for the detection of pesticides: A review. Process Biochemistry, 151. pp. 99-112. ISSN 1359-5113

Abstract

Pesticides residues determination has received significant interest due to the high acute toxicity and their potential to cause long-term damage to the environment and human lives. Traditional analytical methods such as HPLC and GC-MS have been widely employed to analyse pesticides in various samples. However, these methods have drawbacks such as tedious sample preparation, complexity, expensive, and the need for highly specialized staff. As a result, there is an increasing demand for analytical methods that enable easy, quick, sensitive, selective, low-cost, and reliable detection of pesticides at trace levels. Enzyme-based biosensors offer a promising alternative, providing rapid, sensitive, and cost-effective pesticide detection. Recent advancements in colorimetric biosensors using metal nanoparticles enable on-site monitoring visible by the naked eye. These innovations may lead to portable instruments for rapid toxicity testing, revolutionizing pesticide analysis. This paper reviews insecticide types, effects, challenges, and the development of metal nanoparticle-based colorimetric biosensors for identifying pesticide.


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Additional Metadata

Item Type: Article
Subject: Chemistry
Subject: Biotechnology
Subject: Environmental Science
Divisions: Faculty of Science
Institute of Nanoscience and Nanotechnology
DOI Number: https://doi.org/10.1016/j.procbio.2025.01.028
Publisher: Elsevier
Keywords: Cholinesterase; Colorimetric biosensor; Metal nanoparticles; Peroxidase; Pesticides; Tyrosinase
Depositing User: Ms. Zaimah Saiful Yazan
Date Deposited: 02 Mar 2026 06:19
Last Modified: 02 Mar 2026 06:19
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.procbio.2025.01.028
URI: http://psasir.upm.edu.my/id/eprint/122594
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