Cellulose-g-tetraethylenepentamine Dual-function Imprinted Polymers Selectively and Effectively Adsorb and Remove 4-Nitrophenol and Cr(VI)

A cellulosic material could efficiently and selectively adsorb organic and inorganic contaminants from aqueous solutions without interference from competing adsorption sites. In this study, cellulose-graft-tetraethylenepentamin molecular imprinted polymer (C-TEPA-MIP) was synthesized by using 4-nitrophenol (4-NP) as the template. The C-TEPA-MIP adsorbent could adsorb 4-NP and Cr(VI) simultaneously and selectively, without being affected by the competitive adsorption sites of each of these pollutants. The adsorption of 4-NP was predominantly due to the imprinted sites of 4-NP in C-TEPA-MIP that were located inside of the adsorbent, whereas that of Cr(VI) was primarily due to the amine groups of TEPA found on the surface of the adsorbent. Compared with the non-imprint polymer synthesized without the template, C-TEPA-MIP showed higher selectivity for both 4-NP and Cr(VI) in unitary and binary systems. In addition, C-TEPA-MIP exhibited good stability and recyclability for 4-NP, which makes it a promising candidate material for applications concerning wastewater treatment.

A NOBLE MOLECULAR IMPRINT POLYMER BIOSENSOR FOR CAFFEIC ACID DETECTION IN ORTHOSIPHON STAMINEUS EXTRACTS

A molecular imprint polymer (MIP) biosensor has been developed to determine caffeic acid in misai kucing (Orthosiphon stamineus) samples. The simulation of HyperChem 8.0 software gave a suitable template and functional monomer ratio for the MIP preparation. The MIPs were prepared by non-covalent bulk polymer approach. The analytical performance of MIP and NIP studies were based on the frequency change of mass sensitive quartz crystal microbalance sensor. The MIP biosensor showed good sensitivity to caffeic acid from 1.5 ng/ml - 12.5 ng/ml with a R2 value of 0.98 whereas NIP sensor showed very low response. The caffeic acid in O. stamineus extract and two commercial products were quantified using the MIP biosensor