Abstract
Lignin is the largest natural source of functionalized aromatics on the planet, therefore exploiting its inherent structural features for the synthesis of aromatic products is a timely and ambitious goal. While the recently developed lignin depolymerization strategies gave rise to well-defined aromatic platform chemicals, the diversification of these structures, especially toward high-end applications is still poorly addressed. Molecular motors and switches have found widespread application in many important areas such as targeted drug delivery systems, responsive coatings for self-healing surfaces, paints and resins or muscles for soft robotics. They typically comprise a functionalized aromatic backbone, yet their synthesis from lignin has not been considered before. In this contribution, we showcase the synthesis of a novel light-driven unidirectional molecular motor from the specific aromatic platform chemical 4-(3-hydroxypropyl)-2,6-dimethoxyphenol (dihydrosynapyl alcohol) that can be directly obtained from lignocellulose via a reductive catalytic fractionation strategy. The synthetic path takes into account the principles of green chemistry and aims to maintain the intrinsic functionality of the lignin-derived platform molecule.
Original language | English |
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Pages (from-to) | 3689–3696 |
Number of pages | 8 |
Journal | Green Chemistry |
Volume | 24 |
Issue number | 9 |
Early online date | 9-Apr-2022 |
DOIs | |
Publication status | Published - 7-May-2022 |
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CCDC 2127293: Experimental Crystal Structure Determination
Freese, T. (Contributor), Fridrich, B. (Contributor), Crespi, S. (Contributor), Lubbe, A. (Contributor), Barta, K. (Contributor) & Feringa, B. L. (Contributor), The Cambridge Structural Database, 8-Dec-2021
DOI: 10.5517/ccdc.csd.cc29dmcq
Dataset
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CCDC 2127292: Experimental Crystal Structure Determination
Freese, T. (Contributor), Fridrich, B. (Contributor), Crespi, S. (Contributor), Lubbe, A. (Contributor), Barta, K. (Contributor) & Feringa, B. L. (Contributor), The Cambridge Structural Database, 8-Dec-2021
DOI: 10.5517/ccdc.csd.cc29dmbp
Dataset