4.6 Article

Extraction of lignin from corncob residue via a deep eutectic solvent for the preparation of nanoparticles by self-assembly

期刊

CHEMICAL ENGINEERING SCIENCE
卷 256, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2022.117694

关键词

Corncob residue; Deep eutectic solvent; Lignin; Lignin nanoparticles

资金

  1. National Key Research and Development Program of China [2018YFA0900300, 2021YFC2100300]
  2. Natural Science Foundation of Jiangsu Province [BE2018055]
  3. Fishery Science and Technology Projects in Jiangsu Province [Y2018-26]
  4. China Postdoctoral Science Foundation [2020M671330]
  5. Wuxi Science and Technology Project [CLE02N1713]

向作者/读者索取更多资源

In this study, lignin was extracted using a deep eutectic solvent and prepared into lignin nanoparticles through self-assembly. The extracted lignin exhibited different structural characteristics, and efficient pretreatment facilitated the isolation of high-purity lignin fractions. The study laid the groundwork for further development and optimization of lignin recovery technology.
Reducing the structural heterogeneity of lignin and simultaneously improving the effective utilization of corncob residue is vitally important for biorefinery processing. In this study, lignin was extracted using a choline chloride/lactic acid-based deep eutectic solvent (DES) for the preparation of lignin nanoparticles (LNPs) by self-assembly. Nuclear magnetic resonance (NMR), fourier transform infra-red (FT-IR), scanning electron microscopy (SEM), and gel permeation chromatography (GPC) results showed that the extracted lignin exhibited different structural characteristics. In addition, the efficient pretreatment facilitated the isolation of lignin fractions from corncob residue, with yields and purities of up to 85.6% and 97.8%, respectively. Furthermore, the LNPs were characterized by a hydrodynamic diameter of 48.66 nm, polydispersity index below 0.2 and zeta potential values exceeding -42.2 mV. By investigating the impact of the DES pretreatment conditions on the corresponding LNP properties, the current study lays the groundwork for the further development and optimization of lignin recovery technology. (C) 2022 Published by Elsevier Ltd.

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