Selectivity enhancement of MIP-composite sensor for explosive detection using DNT-dengue virus template: A co-imprinting approach
Autor: | Chompoonuch Tancharoen, Aussara Panya, Chak Sangma, Wannisa Sukjee, Pa-thai Yenchitsomanus, Peter A. Lieberzeit |
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Rok vydání: | 2021 |
Předmět: |
Detection limit
chemistry.chemical_classification Analyte Materials science Explosive material Mechanical Engineering Composite number 02 engineering and technology Polymer Dengue virus 010402 general chemistry 021001 nanoscience & nanotechnology Condensed Matter Physics medicine.disease_cause 01 natural sciences Combinatorial chemistry 0104 chemical sciences chemistry Mechanics of Materials medicine Explosive detection General Materials Science 0210 nano-technology Selectivity |
Zdroj: | Materials Letters. 285:129201 |
ISSN: | 0167-577X |
DOI: | 10.1016/j.matlet.2020.129201 |
Popis: | Our current efforts are directed towards improving the selectivity of MIP composite sensors for detection of explosives. It is generally assumed that MIP selectivity depends mainly on compatibility between the analyte and polymer being used. Accordingly, less research has concentrated on applying imprinting techniques to modify the polymeric material. Where applied, imprinting has traditionally been carried out with one or two small target molecules simply mixed with or loaded on polymers. In this study, we employed a novel alternative protocol incorporating dengue virus particles to assist imprinting of DNT. The binding sites and affinity of DNT with dengue surface protein were simulated for enhancing MIP selectivity. Composite MIP sensors were produced and tested to detect explosive molecules including DNT, TNT, and PETN in aqueous solution. Interestingly, the sensor fabricated with DNT template and dengue virus co-imprinting demonstrated improved TNT selectivity as compared to the other MIP sensors. The detection limit of these sensors approached 0.3 ppt. |
Databáze: | OpenAIRE |
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