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Selective lignin conversion via flow photocatalysis for vanillin and bioplasticizers production

  • Xavier Marset
  • , Salvador Montilla-Verdú
  • , Francisco J. Pastor
  • , Elio Rico
  • , Jaume Gomez-Caturla
  • , Mario Miranda-Pinzon
  • , Carlos Lazaro-Hdez
  • , Stefania Bertella
  • , Manuel A. Ortuño
  • , Rafael Balart
  • , Ulrich Aschauer
  • , Néstor Guijarro*
  • *Corresponding author for this work
  • University of Alicante
  • Universitat Politècnica de València (UPV)
  • University of Salzburg

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Lignin valorization remains a roadblock in the development of green biorefineries. Currently, depolymerization strategies predominantly depend on energy- and resource-intensive thermochemical methods, while potential applications of the resulting bio-based products are often overlooked. Here, we show a scalable photocatalytic flow reactor for lignin deconstruction that operates at ambient conditions, along with a downstream process that yields commercially viable products at gram scale. An anthraquinone-based photocatalytic platform, when packed in a flow bed reactor, is demonstrated to selectively and nearly quantitatively cleave lignin’s β-O-4 moieties, achieving a benchmark yield of 7.1 wt% for vanillin. The utilization of residual oligomers as plasticizers for biobased polylactic acid resulted in improved mechanical properties and shape memory effects, while maintaining its suitability for conventional 3D printing. This aldehyde-oriented platform represents a key advancement that complements existing ketone-oriented photocatalytic approaches targeting valuable chemicals from lignin conversion, and it ultimately contributes to the holistic utilization of lignin.

Original languageEnglish
Article number6883
JournalNature Communications
Volume17
Issue number1
DOIs
Publication statusPublished - 2026
MoE publication typeA1 Journal article-refereed

Funding

This research is a part of the grant PID2023-152869OB-C22, and the grant TED2021-131762A-I00, funded by MCIN/AEI/10.13039/501100011033 and by the European Union “NextGenerationEU”/PRTR. The authors also thank Generalitat Valenciana - GVA, grant number CIGE/2023/46 and CIAICO/2023/253, for supporting this work. J. G.-C. wants to thank FPU20/01732 grant funded by MCIN/AEI/10.13039/501100011033 and by ESF Investing in your future. M.M.-P. thanks Vice-rectorate for Research of the Universitat Politècnica de València (UPV) for funding a predoctoral contract in the PAID-01-24 program. M.A.O. thanks the “Ramon y Cajal” Program (RYC2022-035453-I) funded by MICIU/AEI/10.13039/501100011033 and FSE +. C.L.-H. wants to thank CIACIF/2023/244 grant funded by Generalitat Valenciana – GVA. N.G. thanks the “Ramon y Cajal” Program (RYC2018-023888-I) funded by MCIN/AEI/ 10.13039/501100011033. The authors also thank the support of the Generalitat Valenciana/FEDER (Spain) through the project IDIFEDER/2020/002. This research is also part of the project PID2021-128805NA-I00 funded by MCIN/AEI/10.13039/501100011033 and by the European Union “NextGenerationEU”/PRTR. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 948829).

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