Results 231 to 240 of about 219,555 (344)
Chemo‐Enzymatic Route for Covalent Cellulose Fiber Dyeing
This work presents a proof of concept for a chemo‐enzymatic approach to the covalent dyeing of cotton fibers. Laccase/TEMPO oxidation introduces aldehyde groups, enabling subsequent reductive amination with amino dyes. Excellent color homogeneity and wash fastness were demonstrated using acid red 33, highlighting the robustness of the approach and its ...
Awilda Maccow +6 more
wiley +1 more source
Study on the Structure of Lignin Isolated from Wood Under Acidic Conditions. [PDF]
Antczak A +4 more
europepmc +1 more source
Research frontiers in using biochar for heavy metal remediation. Abstract Heavy metal contamination of water has long been a serious environmental issue. Biochar and biochar‐based composites are emerging as effective and sustainable solutions for heavy metal removal due to their strong adsorption abilities and environmentally friendly nature.
Soumik Chakma +4 more
wiley +1 more source
Intelligent delignification: leveraging explainable AI for ozone transport modeling and optimization. [PDF]
Rizwan M +6 more
europepmc +1 more source
Revisiting acidulation for tall oil and lignin manufacturing
Abstract Tall oil is a byproduct of the kraft pulping process when softwood is used as raw material. As the production of softwood‐based pulp is in high demand, the optimization of the tall oil production process needs to be revisited to ensure the highest quality and quantity of tall oil manufacturing. In this work, the process for tall oil production
Thomas Aro, Weijue Gao, Pedram Fatehi
wiley +1 more source
From Grape Stalks to Lignin Nanoparticles: A Study on Extraction Scale-Up, Solubility Enhancement and Green Nanoparticle Production. [PDF]
Cassoni AC +4 more
europepmc +1 more source
Abstract Magnetic biochar (MBC) is a novel bio‐metallic composite material with high potential in sustainable water cleaning. Iron anchoring is critical in forming iron‐based MBC and will fundamentally impact its characteristics and functionality in dye removal applications. However, the mechanism is not well‐revealed.
Soumik Chakma +4 more
wiley +1 more source
Combination of ANN modelling and process optimization to achieve the maximum % dye removal. Abstract The present work reports on the use of artificial neural networks to predict the adsorption of 5G blue reactive dye (5GBRD) on yellow passion fruit pomace in a fixed‐bed process and the % dye removal optimization.
Maraísa Lopes de Menezes +2 more
wiley +1 more source

