...
首页> 外文期刊>Journal of Catalysis >Mesoporous mordenites obtained by sequential acid and alkaline treatments - Catalysts for cumene production with enhanced accessibility
【24h】

Mesoporous mordenites obtained by sequential acid and alkaline treatments - Catalysts for cumene production with enhanced accessibility

机译:通过连续的酸和碱处理获得的中孔丝光沸石-异丙苯生产催化剂

获取原文
获取原文并翻译 | 示例

摘要

Two commercially available mordenites, obtained from Zeolyst (Si/Al = 10 at/at) and BASF (Si/Al = 8 at/at), were subjected to post-synthesis treatments. The impact of acid treatment, alkaline treatment (desilication) and a combination of both on porosity, crystallinity and catalysis were studied in detail. It was found that sequential acid and alkaline treatments were most effective to obtain mesoporous mordenite with external surface areas up to 250 m~2 g~(-1). Electron tomography was used to visualize the mesoporosity of a series of sequential acid- and alkaline-treated mordenite samples. Mesopore formation started close to the external surface area and progressed toward the center of the crystallites for higher porosities. Liquid-phase alkylation of benzene with propylene to cumene was chosen to study the catalytic performance of the enhanced accessibility of various mordenite samples. The activity of the most porous mordenite was found to be close to that of a commercial zeolite beta, while selectivity toward the undesired n-propylbenzene was found to be significantly lower for mordenite (~70 ppm) than for zeolite beta (~175 ppm). These catalytic data indicate that the acid- plus alkaline-treated mordenite could be a viable catalyst in the cumene process.
机译:从Zeolyst(Si / Al = 10 at / at)和BASF(Si / Al = 8 at / at)获得的两种市售丝光沸石经过合成后处理。详细研究了酸处理,碱处理(脱硅)以及两者的组合对孔隙率,结晶度和催化作用的影响。结果表明,连续的酸和碱处理最有效地获得外表面积达250 m〜2 g〜(-1)的介孔丝光沸石。电子断层扫描用于可视化一系列依次进行酸和碱处理的丝光沸石样品的介孔率。中孔形成开始于外表面附近,并向微晶中心发展,以获得更高的孔隙率。选择苯与丙烯进行液相烷基化为枯烯,以研究各种丝光沸石样品可及性提高的催化性能。发现最多孔的丝光沸石的活性接近于商业沸石β,而发现丝光沸石(〜70 ppm)对不希望有的正丙基苯的选择性显着低于β沸石(〜175 ppm)。 。这些催化数据表明,酸加碱处理的丝光沸石可能是异丙苯工艺中可行的催化剂。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号