306
Views
2
CrossRef citations to date
0
Altmetric
Research Articles

High purity lignin from untreated larch bark: an efficient green methodology for lignin valorization and low-value by-product mitigation

, , &
Pages 235-243 | Published online: 14 May 2022
 

Abstract

Increasing concerns toward climate change and fossil fuel-based products have opened the race toward viable alternative feedstocks, which could be utilized as alternatives for omnipresent chemicals such as fuels and polymers. Lignin is among one of the most promising candidates. Besides its promising chemical characteristics, it has also been put in the spotlight due to its economic potential for biorefinery profitability and waste reduction. As the timber industry has to fight a constantly growing larch bark by-product stream we decided to investigate its potential capacity as valuable source of biopolymers. Deep eutectic solvents due to their biodegradability, reusability and efficiency have been chosen as the extraction method of choice. The reaction parameters were optimized resulting in a very high lignin yield of 93%. Furthermore, the work-up process was investigated with a focus on quantitative chemical recycling and potential for upscaling to industrial scale.

Graphical Abstract

Disclosure statement

The authors report there are no competing interests to declare.

Additional information

Funding

This research was supported by the federal state of Salzburg under the grand “Holz.Aktiv” and Interreg V-A Italy-Austria ITAT1059 InCIMa4.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 919.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.