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

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 µg/mL and a limit of quantification (LOQ) of 2.4 µg/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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Publication Details

Journal
Chemosensors
Published
2024-11-07
DOI
https://doi.org/10.3390/chemosensors12110232
Citations
7
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
1.65
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article

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

Aziz Amine, Dounia Elfadil, Kawtar Saidi
7 citations
Chemosensors
Analytical chemistry methods development
1.65
article

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

Aziz Amine, Dounia Elfadil, Kawtar Saidi
article en
7 citations

Abstract

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 µg/mL and a limit of quantification (LOQ) of 2.4 µg/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.

ChemosensorsVol. 12(11)
University of Teramo (IT), University of Hassan II Casablanca (MA)
Responsible consumption and production
Openalex Percentile: Top 18%
Analytical chemistry methods development
1.65
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