A high effective and stable CuZn0.3MgxAlOy catalyst for the manufacture of chiral L-phenylalaninol: The role of Mg and its hydrotalcite-like precursor

阅读量:

67

作者:

Z ShiS ZhangX XiaoD MaoLU Guanzhong

展开

摘要:

Highly effective CuZn0.3MgxAlOy(x= 0–0.2) catalysts for the synthesis of chirall-phenylalaninol derived from Cu-rich hydrotalcite-like precursors were prepared by a co-precipitation method with Na2CO3as the precipitant, and their physicochemical and catalytic properties were characterized. The results show that the presence of Mg2+ions can promote the formation of hydrotalcite-like (htl) precursors, and the Mg2+content would affect the phase purity of the prepared htl precursors. The BET surface area, exposed copper surface area and amount of acid sites of the samples decreased with the increase in the molar ratio of Mg2+/Al3+. Also, the dense layered htl precursors are beneficial to the atomically uniform distribution of the corresponding metal oxides in the prepared catalysts, promoting the stronger interaction between Cu0and Al2O3after the catalysts were reduced (SMSI effect). The activity of the CuZn0.3MgxAlOycatalysts is greatly dependent on not only the metallic copper surface area, but also the SMSI effect and the acidity of the catalysts. When Mg2+/Al3+= 0.1 (mol), a phase-pure htl precursor could be obtained, and after calcination, the prepared CZA-0.1 catalyst exhibited very excellent catalytic performance for the hydrogenation ofl-phenylalanine methyl ester to chirall-phenylalaninol. After 5 h of reaction at 110 °C and 4 MPa H2, 100% conversion ofl-phenylalanine methyl ester and 91.1% yield ofl-phenylalaninol with an ee value of ~100% were achieved. After recycling 13 times, thel-phenylalaninol selectivity of the CZA-0.1 catalyst only decreased by 7.2%.

展开

DOI:

10.1039/c5cy01238d

年份:

2016

通过文献互助平台发起求助,成功后即可免费获取论文全文。

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献

参考文献

引证文献

来源期刊

站内活动

辅助模式

0

引用

文献可以批量引用啦~
欢迎点我试用!

关于我们

百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们保持学习的态度,不忘初心,砥砺前行。
了解更多>>

友情链接

百度云百度翻译

联系我们

合作与服务

期刊合作 图书馆合作 下载产品手册

©2025 Baidu 百度学术声明 使用百度前必读

引用