Issaka Eliasu, Wariboko Mary Adumo, Johnson Nana Adwoa Nkuma, Aniagyei Ofosuhemaa Nyame-do
School of Environmental Science and Engineering, Jiangsu University, Zhenjiang 212013, PR China.
School of Medicine, Faculty of Dermatology and Venereology, Jiangsu University, Zhenjiang 212013, PR China.
Heliyon. 2023 Feb 24;9(3):e13986. doi: 10.1016/j.heliyon.2023.e13986. eCollection 2023 Mar.
Pesticide usage has increased to fulfil agricultural demand. Pesticides such as organophosphorus pesticides (OPPs) are ubiquitous in world food production. Their widespread usage has unavoidable detrimental consequences for humans, wildlife, water, and soil environments. Hence, the development of more convenient and efficient pesticide residue (PR) detection methods is of paramount importance. Visual detecting approaches have acquired a lot of interest among different sensing systems due to inherent advantages in terms of simplicity, speed, sensitivity, and eco-friendliness. Furthermore, various detections have been proven to enable real-life PR surveillance in environment water. Fluorometric (FL), colourimetric (CL), and enzyme-inhibition (EI) techniques have emerged as viable options. These sensing technologies do not need complex operating processes or specialist equipment, and the simple colour change allows for visual monitoring of the sensing result. Visual sensing techniques for on-site detection of PR in water environments are discussed in this paper. This paper further reviews prior research on the integration of CL, FL, and EI-based techniques with nanoparticles (NPs), quantum dots (QDs), and metal-organic frameworks (MOFs). Smartphone detection technologies for PRs are also reviewed. Finally, conventional methods and nanoparticle (NPs) based strategies for the detection of PRs are compared.
为满足农业需求,农药使用量不断增加。有机磷农药等农药在世界粮食生产中无处不在。它们的广泛使用对人类、野生动物、水和土壤环境产生了不可避免的有害影响。因此,开发更便捷高效的农药残留检测方法至关重要。视觉检测方法因其在简单性、速度、灵敏度和生态友好性方面的固有优势,在不同传感系统中受到了广泛关注。此外,各种检测方法已被证明能够对环境水中的农药残留进行实际监测。荧光法、比色法和酶抑制技术已成为可行的选择。这些传感技术不需要复杂的操作流程或专业设备,简单的颜色变化便于对传感结果进行视觉监测。本文讨论了水环境中农药残留现场检测的视觉传感技术。本文还回顾了先前关于将基于比色法、荧光法和酶抑制的技术与纳米颗粒、量子点和金属有机框架相结合的研究。还综述了用于农药残留检测的智能手机检测技术。最后,比较了检测农药残留的传统方法和基于纳米颗粒的策略。