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Computational Design and Electropolymerization of Molecularly Imprinted Poly( p ‐Aminobenzoic‐Acid‐Co–Dapsone) Using Multivariate Optimization for Tetradifon Residue Analysis
Author(s) -
Ganjeizadeh Rohani Fatemeh,
Mohadesi Alireza,
Ansari Mehdi
Publication year - 2019
Publication title -
chemistryselect
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 34
ISSN - 2365-6549
DOI - 10.1002/slct.201902830
Subject(s) - detection limit , repeatability , materials science , central composite design , molecularly imprinted polymer , selectivity , analytical chemistry (journal) , mathematics , chromatography , chemistry , response surface methodology , organic chemistry , catalysis
In this study, tetradifon as a non‐electroactive pesticide was measured by a new gold electrode modified with electropolymerized molecularly imprinted poly(para aminobenzoic acid‐co‐4,4‐diaminodiphenyl sulfone) (P‐ p ABA‐co‐DDS). The best available monomer was selected based on computational design and then the polymer was developed in optimized condition. Screening of various factors was performed by Plackett–Burman design (PBD) and central composite design (CCD) was utilized to select optimized condition. Under the optimized condition, calibration curve of tetradifon on MIP/gold electrode was constructed with a linear range of 0.05‐ 2.50 μM. The limit of detection (LOD) and limit of quantification (LOQ) was found to be 0.014 and 0.047 μM, respectively. The developed method showed good stability, repeatability, and reproducibility, sensitivity and selectivity for tetradifon. The developed method was applied to determine tetradifon in real water samples.