Development of a Non-Covalent Molecularly Imprinted Polymer via Precipitation Method for the Selective Separation of D-Xylose From Sugarcane Residues

4Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

The agro-industry generates substantial waste, necessitating eco-friendly solutions. This study introduces a novel molecularly imprinted polymer (MIPs) for the selective separation of D-xylose from sugarcane residues. A non-covalent imprinted polymer was synthesized via precipitation and optimized through D-xylose adsorption assays. The polymer demonstrated an Imprinting Factor of 3.34, adsorption equilibrium within 30 min, notable reusability retaining over 95% of its adsorption capacity after three cycles, and high selectivity coefficients (α > 2.00) for all saccharides tested. The adsorption isotherm followed the Langmuir model. Characterization confirmed successful imprinting, with the imprinted polymer exhibiting a surface area of 69.4 m2/g and pore volume of 0.26 cm3/g, compared to 8.7 m2/g and 0.03 cm3/g for the non-imprinted polymer. D-xylose separation was tested using hemicellulosic hydrolysate from sugarcane straw and bagasse. The polymer applied as a sorbent in dispersive solid-phase extraction with the hydrolysate achieved 90.29 ± 1.27% D-xylose adsorption. Desorption in pure water recovered 81.48 ± 1.22% of the adsorbed D-xylose. This method advances separation techniques, offering an efficient solution for sample pre-treatment and expanding the application of MIPs.

Cite

CITATION STYLE

APA

Borges, L. F. T., Wong, A., Silva, W. R., & Sotomayor, M. D. P. T. (2024). Development of a Non-Covalent Molecularly Imprinted Polymer via Precipitation Method for the Selective Separation of D-Xylose From Sugarcane Residues. Journal of Separation Science, 47(22). https://doi.org/10.1002/jssc.70024

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free