2018
DOI: 10.1002/pola.29281
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Comparative study of capsaicin molecularly imprinted polymers prepared by different polymerization methods

Abstract: In this study, the molecularly imprinted polymers (MIPs) of capsaicin are prepared by bulk polymerization (MIPs1), precipitation polymerization (MIPs2), and surface imprinting technology based on SiO2/Fe3O4 particles (MIPs3), respectively. MIPs are characterized by scanning electron microscopy and fourier transform infrared spectroscopy. The adsorption kinetics and thermodynamics of these composites are also investigated to estimate their capacity to rebind capsaicin. The adsorption kinetics show that the adso… Show more

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Cited by 15 publications
(11 citation statements)
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References 35 publications
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“…The Freundlich isotherm is introduced as an empirical model, which involves a non-ideal adsorption process on heterogeneous surfaces assuming that as the analyte concentration increases, the concentration of the analyte on the adsorbent surface will increase. Contrary to the Langmuir model described above, this one is not limited to the formation of a monolayer, but it assumes that the polymer surface recognition holes are not evenly distributed and the adsorption might occur in the multimolecular layer [34]. Freundlich isotherm is explained by the following Equation 7and its linear form 8:…”
Section: Imprinting Efficacy and Selectivitymentioning
confidence: 99%
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“…The Freundlich isotherm is introduced as an empirical model, which involves a non-ideal adsorption process on heterogeneous surfaces assuming that as the analyte concentration increases, the concentration of the analyte on the adsorbent surface will increase. Contrary to the Langmuir model described above, this one is not limited to the formation of a monolayer, but it assumes that the polymer surface recognition holes are not evenly distributed and the adsorption might occur in the multimolecular layer [34]. Freundlich isotherm is explained by the following Equation 7and its linear form 8:…”
Section: Imprinting Efficacy and Selectivitymentioning
confidence: 99%
“…log(Q e − Q t ) = log(Q e ) − K 1 2.303 t (10) in which Q e is the amount of adsorbed SUT at the equilibrium time, K 1 represents the first-order adsorption rate constant, and t is the adsorption time. This model is based on the assumption that one molecule adsorbs within the active site of the polymer [36] and that the drug adsorption process controlled by the diffusion step belongs to the physical adsorption [34].…”
Section: Adsorption Kineticsmentioning
confidence: 99%
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“…107 Wang et al recently compared different polymerization methods to produce a MIP for capsaicin such as bulk, precipitation polymerization, that give rise to non magnetic particles, and surface imprinting technology based on silanized Fe3O4 NPs, showing that the latest possess the best affinity and adsorption capacity. 171 At last, to prepare a HRP-MIP, boronic acid was grafted on Fe3O4 NPs covered by a porous TiO2 layer instead of a silica layer before the polymerization with dopamine in order to improve the specific surface area of the sorbent, since the surface of Fe3O4@TiO2 is much rougher, which is beneficial to offer more binding sites. 111 The measurement of the specific surface area is a parameter indicating the potential binding capacity of the MIP but it is also important to check for the presence of cavities.…”
Section: Preparation Of the Mip Particlesmentioning
confidence: 99%
“…Electrochemical techniques were employed to study the charge transfer on the modified electrode surface and to gather information about the imprinting process and overall performances of the sensor [16,17]. Imaging techniques were applied to map the morphology and properties of the bare electrode and the MIP-modified ones [15,18]. Thanks to the high concentration of fluorine in the template/target molecule, it was possible to visualize the MIP distribution by field-emission scanning electron microscopy–energy-dispersive X-ray spectrometry (FE-SEM–EDS) imaging.…”
Section: Introductionmentioning
confidence: 99%