Enhanced Selectivity of Colorimetric Molecularly Imprinted Polymer Paper-based Sensor for Detection of Bisphenol-A in Plastic Bottles AITranslate
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This research has developed a paper-based sensor incorporating molecularly imprinted polymer(MIP)technology for the detection of bisphenol-A(BPA)in plastic bottles.The characterization of BPA-molecular imprinted polymers on paper(BPA-MIP/FP)demonstrated the successful deposition of MIP on the paper substrate.The binding properties analysis revealed that the BPA-MIP/FP sensor exhibited significantly enhanced BPA adsorption capacity(29.04±1.45μmol/cm2)compared to unmodified paper.The sensor demonstrated excellent performance characteristics,including high sensitivity with a detection limit of 0.053 ng/mL and superior selectivity for BPA over other bisphenol compound derivatives.The results of the actual samples showed that the sensor has good stability with a RSD of 3.7%and accuracy with recovery rates in the range from 93.46%to 102.06%.
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Chinese Library Classification Number:O631.3[理学];O657.3[理学—高分子化学];TP212[理学—化学]
Citation Information:
This research has developed a paper-based sensor incorporating molecularly imprinted polymer(MIP)technology for the detection of bisphenol-A(BPA)in plastic bottles.The characterization of BPA-molecular imprinted polymers on paper(BPA-MIP/FP)demonstrated the successful deposition of MIP on the paper substrate.The binding properties analysis revealed that the BPA-MIP/FP sensor exhibited significantly enhanced BPA adsorption capacity(29.04±1.45μmol/cm2)compared to unmodified paper.The sensor demonstrated excellent performance characteristics,including high sensitivity with a detection limit of 0.053 ng/mL and superior selectivity for BPA over other bisphenol compound derivatives.The results of the actual samples showed that the sensor has good stability with a RSD of 3.7%and accuracy with recovery rates in the range from 93.46%to 102.06%.
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| GB/T 7714-2015 | [1] Ganjar Fadillah, Nur Apriyani, Salmahanimati, et al. Journal of Analysis and Testing, 2025(4): 676-681. |
| MLA | [1] Ganjar Fadillah, et al., Journal of Analysis and Testing, no. 4, 2025, pp. 676-681. |
| APA | [1] Ganjar Fadillah, Nur Apriyani, Salmahanimati, Rahmat Hidayat, Bambang Hernawan Nugroho, & Achmad Fauzan. (2025). Journal of Analysis and Testing(4), 676-681. |
| IEEE | [1] Ganjar Fadillah, Nur Apriyani, Salmahanimati, Rahmat Hidayat, Bambang Hernawan Nugroho, and Achmad Fauzan, Journal of Analysis and Testing, no. 4, pp. 676-681, 2025. |
