Towards the Mass Production of Molecularly Imprinted Polymers via Cost-Effective Photopolymerization Synthesis and Colorimetric Detection via Smartphone

被引:0
|
作者
Saidi, Kawtar [1 ]
Elfadil, Dounia [2 ]
Amine, Aziz [1 ]
机构
[1] Hassan II Univ Casablanca, Fac Sci & Tech, Lab Proc Engn & Environm, Mohammadia 20650, Morocco
[2] Univ Teramo, Fac Biosci & Technol Food Agr & Environm, Via Renato Balzarini 1, I-64100 Teramo, Italy
关键词
lab-on-paper devices; molecularly imprinted polymers; in situ photopolymerization; environmental monitoring; smartphone; antibiotics; mass production;
D O I
10.3390/chemosensors12110232
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The need for rapid, on-site contaminant detection is becoming increasingly vital for tackling environmental and public health challenges. This study introduces an efficient method for detecting sulfamethoxazole (SMX), a widely used antibiotic with significant environmental implications. A cost-effective, scalable approach was developed using lab-on-paper devices integrated with molecularly imprinted polymers (MIPs), synthesized through an in situ photopolymerization process that was completed in just 10 min. Using only 2 mL of MIP solution enabled the efficient mass production of 100 disks. Traditional template extraction, which often takes hours or days, was reduced to just 10 min using a multichannel micropipette and absorbent fabric. The MIP-PAD achieved a limit of detection (LOD) of 0.8 mu g/mL and a limit of quantification (LOQ) of 2.4 mu g/mL, with measurements obtained using a smartphone-based colorimetric detection system. It exhibited excellent repeatability, with a relative standard deviation (RSD) of 3.26% across seven tests, high reusability for up to eight cycles, and recovery rates for real samples ranging from 81.24% to 99.09%. This method provides notable improvements in sensitivity, reproducibility, and environmental sustainability over conventional techniques. The user-friendly platform integrating smartphone-based colorimetric detection is highly practical for real-time applications, offering broad potential for environmental monitoring, food safety, and healthcare.
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页数:13
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