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硅酸盐通报 ›› 2023, Vol. 42 ›› Issue (10): 3605-3616.

• 资源综合利用 • 上一篇    下一篇

响应曲面法优化广西田东活性白土制备工艺研究

李明哲1, 高林辉1, 李晨1, 李跃1,2, 樊先平2, 杨辉1,2, 林时锴3   

  1. 1.浙江大学温州研究院,温州 325036;
    2.浙江大学材料与工程学院,杭州 310058;
    3.田东昊润新材料科技有限公司,百色 531500
  • 收稿日期:2023-05-08 修订日期:2023-06-28 出版日期:2023-10-15 发布日期:2023-10-17
  • 通信作者: 高林辉,博士,副教授。E-mail:gaolhui@zstu.edu.cn
  • 作者简介:李明哲(1996—),男,硕士研究生。主要从事纳米陶瓷功能材料研究。E-mail:1491528231@qq.com
  • 基金资助:
    广西科技厅-浙江大学科技创新合作专项(桂科ZD20302002,AB22036003)

Optimization of Preparation Process of Activated Bentonite from Tiandong, Guangxi Based on Response Surface Methodology

LI Mingzhe1, GAO Linhui1, LI Chen1, LI Yue1,2, FAN Xianping2, YANG Hui1,2, LIN Shikai3   

  1. 1. Institute of Wenzhou, Zhejiang University, Wenzhou 325036, China;
    2. Department of Materials Science and Engineering, Zhejiang University, Hangzhou 310058, China;
    3. Tiandong Haorun New Materials Technology Co., Ltd., Baise 531500, China
  • Received:2023-05-08 Revised:2023-06-28 Online:2023-10-15 Published:2023-10-17

摘要: 活性白土是一种常见的无机吸附材料,由膨润土经过酸改性获得。本文采用硫酸作为改性剂,活化改性膨润土制备高吸附活性的活性白土。通过单因素试验确定了活化温度A、活化时间B、酸用量C、液固比D的取值范围,并采用Box-Behnken 响应曲面法设计优化白土制备工艺参数,以大豆油中β-胡萝卜素的吸附率为响应值,分析4种工艺参数对吸附率的影响规律,并预测了最佳的工艺条件。结果表明,建立的吸附率响应曲面模型可靠,可用于活性白土吸附能力优化。活化时间和酸用量对吸附率的影响最大,在所选液固比范围内,液固比对吸附率影响不明显。预测的最佳吸附能力制备条件为:活化温度92.5 ℃、活化时间5.5 h、酸用量40%(质量分数)、液固比4 ∶1。该条件下活性白土对β-胡萝卜素的吸附率为97.71%。

关键词: 膨润土, 活性白土, 响应曲面法, 吸附, β-胡萝卜素, 工艺优化

Abstract: Activated bentonite is a kind of inorganic adsorbent material, which is usually prepared by acid modification of bentonite. In this paper, natural bentonite was modified by sulfuric acid to acquire activated bentonite with high adsorption capacity. According to the results of single-factor experiment, the range of values of activation temperature A, activation time B, acid dosage C and liquid-solid ratio D were obtained. The removal rate of β-carotene in soybean oil was considered as the response value, and the Box-Behnken response surface method was used to optimize the adsorption performance of activated bentonite by analyzing the effects of four factors on the removal rate. The results show that the established response surface model is reliable enough to be used for the optimization of the adsorption capacity of activated bentonite. Besides, activation time and acid dosage have the greatest effect on the removal rate. However, liquid-solid ratio has no significant effect on the adsorption rate within the selected range. Finally, the predicted parameters of the optimal adsorption capacity are as follow: activation temperature 92.5 ℃, activation time 5.5 h, acid dosage 40% (mass fraction), liquid-solid ratio 4 ∶1, and the best adsorption rate of β-carotene can reach 97.71%.

Key words: bentonite, activated bentonite, response surface methodology, adsorption, β-carotene, process optimization

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