Release-slowing mechanism of anisole on glucose-based porous carbon materials

ZHOU Feng1 LI Zhiyu2 LI Gen1 JIANG Tao1 ZHE Wei2 HUANG Yan3 LU Zhenbao3 LI Zhong1

(1.School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, Guangdong, China 510640)
(2.Technology Center of China Tobacco Yunnan Industrial Co., Ltd., Kunming, Yunnan, China 650202)
(3.Guangzhou Huafang Tabacoo Flavors Company, Guangzhou, Guangdong, China 510530)

【Abstract】The release-slowing mechanism of anisole desorption on glucose-based porous carbon materials was investigated. The porous carbon materials were prepared by using glucose as carbon source, and then characterized. The kinetic curves of anisole desorption on glucose-based porous carbon materials were measured. The model for estimating diffusion coefficient of anisole desorption from the carbon materials was established. The results showed that the specific surface area of the prepared samples reached as high as 1 133–3 153 m2·g−1, and the anisole adsorption capacity of the adsorbents reached as high as 1 050 mg·g−1. Anisole desorption from the samples took place by mechanism of bulk diffusion, Knudsen diffusion and surface diffusion. The textural structure of the porous carbons had influence on the diffusion mechanism of anisole desorption. The high proportion of micropores would make the more anisole molecules desorb in the form of surface diffusion. Knudsen diffusion and surface diffusion played an important role in anisole release-slowing from the samples. About 78%–83% of anisole desorbed from the porous carbons in the forms of Knudsen diffusion and surface diffusion.

【Keywords】 carbon material; anisole; sustained-release material; desorption; diffusivity; diffusion mechanism;


【Funds】 Open Project of Key Laboratory of Blending Technique of Cigarettes in Tobacco Industry of Technology Center of China Tobacco Yunnan Industrial Co., Ltd. (TX2014007)

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(Translated by CHENG QZ)


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This Article


CN: 11-1946/TQ

Vol 68, No. 12, Pages 4625-4632+4920

December 2017


Article Outline


  • Introduction
  • 1 Estimation model of the diffusion coefficient
  • 2 Experimental parts
  • 3 Experimental results and discussion
  • 4 Conclusions
  • References