Moulahoum Hichem
Biochemistry Department, Faculty of Science, Ege University, Bornova, Izmir 35040, Turkey.
ACS Omega. 2023 Oct 28;8(44):41194-41203. doi: 10.1021/acsomega.3c04387. eCollection 2023 Nov 7.
Water pollution caused by pesticides is a significant threat to the environment and human health. Silver and gold nanoparticle (AgNPs, AuNPs)-based biosensors are affordable tools, ideal for environmental monitoring. Microfluidic paper-based devices (μPADs) are a promising approach for on-site testing, but few studies have explored the use of laser printing (LP) for μPAD-based biosensors. This study investigates the feasibility of using laser printing to fabricate paper-based biosensors for pesticide detection in water samples. The μPAD was designed and optimized by using different filter paper porosities, patterns, and channel thicknesses. The developed LP-μPAD was used to sense the pesticide atrazine in water through colorimetric assessments using a smartphone-assisted image analysis. The analytical assessment showed a limit of detection (LOD) of 3.5 and 10.9 μM for AgNPs and AuNPs, respectively. The sensor had high repeatability and reproducibility. The LP-μPAD also demonstrated good recovery and functionality in simulated contaminated water. Furthermore, the detection of pesticides was found to be specific under the influence of interferents, such as NaCl and pH levels. By combining laser printing and nanoparticles, the proposed sensor could contribute to developing effective and low-cost solutions for monitoring water quality that are widely accessible.
农药造成的水污染对环境和人类健康构成重大威胁。基于银和金纳米颗粒（AgNPs、AuNPs）的生物传感器是价格实惠的工具，非常适合环境监测。基于微流控纸的设备（μPADs）是一种很有前景的现场检测方法，但很少有研究探索将激光打印（LP）用于基于μPAD的生物传感器。本研究调查了使用激光打印制造用于检测水样中农药的纸基生物传感器的可行性。通过使用不同的滤纸孔隙率、图案和通道厚度对μPAD进行了设计和优化。所开发的LP-μPAD通过使用智能手机辅助图像分析的比色评估来检测水中的农药阿特拉津。分析评估表明，AgNPs和AuNPs的检测限（LOD）分别为3.5和10.9μM。该传感器具有高重复性和再现性。LP-μPAD在模拟污染水中也表现出良好的回收率和功能。此外，在NaCl和pH值等干扰物的影响下，发现该农药检测具有特异性。通过结合激光打印和纳米颗粒，所提出的传感器有助于开发有效且低成本的水质监测解决方案，这些方案易于获得。
