JOURNAL ARTICLE

Catalytic Cracking of Liquefied Petroleum Gas (LPG) to Light Olefins Using Zeolite‐Based Materials: Recent Advances, Trends, Challenges and Future Perspectives.

  • Published In: Chemical Record, 2024, v. 24, n. 11. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Magaji, Suleiman; Hussain, Ijaz; Malaibari, Zuhair; Hossain, Mohammad M.; Qureshi, Ziyauddin S.; Ahmed, Shakeel 3 of 3

Abstract

The catalytic cracking of liquefied petroleum gas (LPG) has attracted significant attention due to its importance in producing valuable feedstocks for the petrochemical industry. This review provides an overview of recent developments in zeolite‐based catalyst technology for converting LPG into light olefins. Catalytic cracking utilizes zeolite‐based catalysts usually associated with stability challenges, such as coking and sintering. The discussion focused on the underlying mechanisms that govern the catalytic cracking process and provided insights into the complex reaction pathways involved. A comprehensive analysis of various strategies employed for improving the effectiveness of zeolite catalysts has been discussed in this review. These strategies encompass using transition metals to modify catalyst properties, treatments involving phosphorous modification, alkaline earth metals, and alkali metals to alter the acidity level of the zeolites. The elucidation of the impact of silica‐to‐alumina ratios in zeolites and the development of hierarchical zeolite‐based catalysts through top‐down and bottom‐up methodologies are also discussed. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Chemical Record. 2024/11, Vol. 24, Issue 11, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:1527-8999
  • DOI:10.1002/tcr.202400110
  • Accession Number:180972264
  • Copyright Statement:Copyright of Chemical Record is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.