Molecular imprinted membrane biosensor for pesticide detection: Perspectives and challenges

Lah, Nuur Fahanis Che; Ahmad, Abdul Latif; Low, Siew Chun

doi:10.1002/pat.5098

Cited by 16 publications

(2 citation statements)

References 80 publications

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“…Once the template is eluted at the end of the process a cavity is left which has affinity for the target molecule. Molecular imprinted polymers (MIP) are artificial receptors that are used to bind target molecules and thus act as recognition elements [71]. Some functional monomers and cross-linking monomers are copolymerized in the presence of a desired target molecule.…”

Section: (C) Molecular Imprinted Polymersmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

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Water constitutes an indispensable resource crucial for the sustenance of humanity, as it plays an integral role in various sectors such as agriculture, industrial processes, and domestic consumption. Even though water covers 71% of the global land surface, governments have been grappling with the challenge of ensuring the provision of safe water for domestic use. A contributing factor to this situation is the persistent contamination of available water sources rendering them unfit for human consumption. A common contaminant, pesticides are not frequently tested for despite their serious effects on biodiversity. Pesticide determination in water quality assessment is a challenging task because the procedures involved in the extraction and detection are complex. This reduces their popularity in many monitoring campaigns despite their harmful effects. If the existing methods of pesticide analysis are adapted by leveraging new technologies, then information concerning their presence in water ecosystems can be exposed. Furthermore, beyond the advantages conferred by the integration of wireless sensor networks (WSNs), the Internet of Things (IoT), Machine Learning (ML), and big data analytics, a notable outcome is the attainment of a heightened degree of granularity in the information of water ecosystems. This paper discusses methods of pesticide detection in water, emphasizing the possible use of electrochemical sensors, biosensors, and paper-based sensors in wireless sensing. It also explores the application of WSNs in water, the IoT, computing models, ML, and big data analytics, and their potential for integration as technologies useful for pesticide monitoring in water.

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Section: (C) Molecular Imprinted Polymersmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

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“…Although there has been a significant improvement in current biosensors, the design and fabrication are still challenging and time-consuming. These challenges are bolder in bio-receptors and assay matrix design, achieving specific binding and detecting low concentration target molecules within a low-volume sample [12][13][14][15][16]. Scientists have been using various active and passive methods to improve biosensors' sensing and fabrication to resolve these challenges.…”

Section: Introductionmentioning

confidence: 99%

Flow Control Techniques for Enhancing the Bio-Recognition Performance of Microfluidic-Integrated Biosensors

et al. 2021

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Biosensors are favored devices for the fast and cost-effective detection of biological species without the need for laboratories. Microfluidic integration with biosensors has advanced their capabilities in selectivity, sensitivity, controllability, and conducting multiple binding assays simultaneously. Despite all the improvements, their design and fabrication are still challenging and time-consuming. The current study aims to enhance microfluidic-integrated biosensors’ performance. Three different functional designs are presented with both active (with the help of electroosmotic flow) and passive (geometry optimization) methods. For validation and further studies, these solutions are applied to an experimental setup for DNA hybridization. The numerical results for the original case have been validated with the experimental data from previous literature. Convection, diffusion, migration, and hybridization of DNA strands during the hybridization process have been simulated with finite element method (FEM) in 3D. Based on the results, increasing the velocity on top of the functionalized surface, by reducing the thickness of the microchamber in that area, would increase the speed of surface coverage by up to 62%. An active flow control with the help of electric field would increase this speed by 32%. In addition, other essential parameters in the fabrication of the microchamber, such as changes in pressure and bulk concentration, have been studied. The suggested designs are simple, applicable and cost-effective, and would not add extra challenges to the fabrication process. Overall, the effect of the geometry of the microchamber on the time and effectiveness of biosensors is inevitable. More studies on the geometry optimization of the microchamber and position of the electrodes using machine learning methods would be beneficial in future works.

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Controlled release of thiram pesticide from polycaprolactone micro and nanofibrous mat matrix

Pouladchang

Tavanai

Morshed

et al. 2021

J of Applied Polymer Sci

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Polymeric nanofibers as a matrix for controlled release of pesticides has gained importance alongside controlled drug release. Electrospinning of thiram pesticide incorporated polycaprolactone micro and nanofibers and thereof release characteristics are reported. With only chloroform as the solvent for polycaprolactone, thiram incorporated microfibers could be electrospun. To electrospin polycaprolactone nanofibers containing thiram, methanol was added as a co-solvent. Regular and beadless microfibers (mean diameter = 3.7-4.5 μm) and nanofibers (mean diameter = 29-481 nm) were successfully electrospun. Fourier-transform infrared spectroscopy showed that thiram was held by the polycaprolactone matrix physically. X-ray diffraction analysis showed that thiram could not reorganize its crystals in the fibrous matrix. The amount of thiram pesticide loaded in micro and nanofibers was measured to be in the range of 42.5-150 and 26.4-163.4 mg.g À1 , respectively. Microfibers showed a higher release rate with lower amounts of the loaded thiram. Nanofibrous matrices showed an opposite trend.

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Molecular imprinted membrane biosensor for pesticide detection: Perspectives and challenges

Cited by 16 publications

References 80 publications

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Flow Control Techniques for Enhancing the Bio-Recognition Performance of Microfluidic-Integrated Biosensors

Controlled release of thiram pesticide from polycaprolactone micro and nanofibrous mat matrix

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