JOURNAL ARTICLE

Iron in Organometallic Transformations: A Sustainable Substitute for Noble Metals.

  • Published In: ChemCatChem, 2024, v. 16, n. 19. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Kumar, Rohit; Tewari, Tanuja; Chikkali, Samir H. 3 of 3

Abstract

Transition metal catalysis plays a pivotal role in chemical synthesis. Noble metals often grab significant attention in organometallic catalysis due to their high reactivity. However, the serious issues associated with these metals such as low abundance, toxicity, geopolitical limitations, and volatile prices are driving the scientific community to discover sustainable alternatives. In this context, iron appears to be the first choice as an alternative metal due to its unique properties, including a range of stable oxidation states, Lewis acidity, high abundance in the earth's crust, and low toxicity. Over the past two decades, substantial progress has been made in iron catalysis. This overview examines the recent developments in iron‐catalyzed industrially relevant transformations such as hydroformylation, olefin isomerization, hydrosilylation, hydrophosphination, carbonylation, Wacker‐type oxidation, and plastic depolymerization. As witnessed throughout this review, the performance of iron can be significantly altered by suitable ligand selection and by tailoring the electronic and steric properties of the iron center. While noble metals remain the industry work‐horse, iron is inching closer and with extensive scientific understanding, it may replace noble metals in the near future. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:ChemCatChem. 2024/10, Vol. 16, Issue 19, p1
  • Document Type:Article
  • Subject Area:Geology
  • Publication Date:2024
  • ISSN:1867-3880
  • DOI:10.1002/cctc.202400756
  • Accession Number:180136397
  • Copyright Statement:Copyright of ChemCatChem 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.