4.6 Article

Preparation and application of modified three-dimensional cellulose microspheres for paclitaxel targeted separation

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1655, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.chroma.2021.462487

Keywords

Molecularly imprinted polymer; Three-dimensional cellulose microspheres; Selective recognition; Paclitaxel; Taxus x media Rehde

Funding

  1. National Natural Science Foundation of China [31770619]
  2. Fundamental Research Funds for the Central Universities [2572020DR07]
  3. Research and development project of Applied Technology in Heilongjiang Province [GX18B003]
  4. 111 Project [B20088]
  5. Heilongjiang Touyan Innovation Team Program (Tree Genetics and Breeding Innovation Team)

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The study successfully prepared three-dimensional cellulose microspheres modified by molecularly imprinted polymer for paclitaxel recognition and separation, showing good reusability and target selectivity. This laid a scientific foundation for the efficient, environmentally friendly, and rapid enrichment of plant metabolites using bio-based molecularly imprinted polymers.
In this article, we successfully prepared three-dimensional cellulose microspheres modified by molecularly imprinted polymer for paclitaxel recognition and separation (3D-CM &PTX&MIPs). The material was characterized by Fourier Transform Infrared spectroscopy (FTIR), Scanning Electron Microscope (SEM), Thermogravimetric Analysis (TG) and diffraction of X-rays (XRD). Under the optimized adsorption conditions, the maximum adsorption capacity reached 65.7 mg/g. And after 5 runs of reuse, (3DCM&PTX&MIPs) still maintained a reusability rate of 90%. Besides, (3D-CM&PTX&MIPs) showed excellent selectivity for target PTX. Finally, (3D-CM&PTX&MIPs) was used for PTX recognition and separation in the extracts of yew leaves. This research laid a good foundation and scientific basis for the efficient, environmentally friendly, and rapid enrichment of metabolites in plants using bio-based molecularly imprinted polymers. (c) 2021 Elsevier B.V. All rights reserved.

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