4.7 Article

Porous starches modified with double enzymes: Structure and adsorption properties

Journal

INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
Volume 164, Issue -, Pages 1758-1765

Publisher

ELSEVIER
DOI: 10.1016/j.ijbiomac.2020.07.323

Keywords

Porous starch; Enzyme combination; Adsorption capacity

Funding

  1. National Natural Science Foundation of China [31771933]
  2. Shandong Key Research and Development Plan (Public welfare projects) [2019GSF109035]
  3. International Cooperation Foundation of Qilu University of Technology [QLUTGJUZ014]
  4. Special Funds for Taishan Scholars Project [ts201712060]
  5. National Key Research & Development Program in China [2019YFD1002704]
  6. Key Research and Development Programof Shandong Province [2017YYSP024]
  7. Funds for Innovation Team of Jinan [2018GXRC004]

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To explore an effective enzyme combination instead of a common enzyme method, sequential alpha-amylase and glucoamylase, a method of sequential glycosyltransferase and branching enzyme was chosen to compare the macroscopic features, structure characteristics, porosity characteristics and adsorption quantity of potato, corn, wheat and sweet potato starches. The results indicated that after enzyme treatment, the relative crystallinity of potato, corn, wheat and sweet potato starches increased. Moreover, amylose levels decreased, while pore size and volume, and specific surface area increased after sequential glycosyltransferase and branching enzyme. In terms of pore size, sequential alpha-amylase and glucoamylase produced abundant mesopores (2-50 nm), whereas sequential glycosyltransferase and branching enzyme developed much more macropores (>50 nm). The adsorption quantities of the starch obtained with sequential glycosyltransferase and branching enzyme were about 2 folds higher than that of the starch obtained with sequential alpha-amylase and glucoamylase. Therefore, the sequential glycosyltransferase and branching enzymemay be an idealmethod to create porous starch as a desirable green adsorbent for industries. (C) 2020 Elsevier B.V. All rights reserved.

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