Direct Precipitation of Lignin Nanoparticles from Wheat Straw Organosolv Liquors Using a Static Mixer

• Published in: Molecules (Basel, Switzerland) Vol. 25; no. 6; p. 1388
• Main Authors: Beisl, Stefan, Adamcyk, Johannes, Friedl, Anton
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.03.2020; MDPI
• Subjects: Alcohol; Biomass; biorefinery; Carbohydrates; Chemical Precipitation; direct precipitation; Energy; Ethanol; Impurities; Investigations; Lignin; Lignin - chemistry; microparticles; Nanoparticles; Nanoparticles - chemistry; Nanostructured materials; organosolv; Particle size; Pretreatment; Production methods; Purification; Ratios; Renewable resources; Solvents; Solvents - chemistry; Triticum - chemistry; Wheat straw; biorefinery; wheat straw; nanoparticles; direct precipitation; microparticles; lignin; organosolv
• ISSN: 1420-3049; 1420-3049
• DOI: 10.3390/molecules25061388

Micro- and nanosize lignin shows improved properties compared to standard lignin available today and has been gaining interest in recent years. Lignin is the largest renewable resource with an aromatic skeleton on earth but it is used for relatively low-value applications. Lignin in micro- to nanoscale; however, could facilitate rather valuable applications. Current production methods consume high amounts of solvents for purification and precipitation. The process investigated in this work uses the direct precipitation of lignin nanoparticles from organosolv pretreatment extract in a static mixer and can reduce solvent consumption drastically. The pH value, ratio of antisolvent to organosolv extract and flowrate in the mixer were investigated as precipitation parameters in terms of the resulting particle properties. Particles with dimensions ranging from 97.3 to 219.3 nm could be produced, and at certain precipitation parameters, carbohydrate impurities reach values as low as in purified lignin particles. Yields were found independent of the precipitation parameters with 48.2 ± 4.99%. Results presented in this work can be used to optimize precipitation parameters with emphasis on particle size, carbohydrate impurities or the solvent consumption.