Advances in machine learning for high value-added applications of lignocellulosic biomass

H Ge, J Zheng, H Xu - Bioresource Technology, 2023 - Elsevier
Lignocellulose can be converted into biofuel or functional materials to achieve high value-
added utilization. Biomass utilization process is complex and multi-dimensional. This paper …

[HTML][HTML] Recycling of TEMPO-mediated oxidation medium and its effect on nanocellulose properties

H Xu, JL Sanchez-Salvador, A Blanco, A Balea… - Carbohydrate …, 2023 - Elsevier
Abstract The potential of TEMPO (2, 2, 6, 6-tetramethyl-1-piperidinyloxy)-mediated oxidation
(TMO) to produce cellulose nanofibrils (CNFs) is hindered using costly and environmentally …

Preparation and characterization of lignin containing cellulose nanofiber from moso bamboo via acidified choline chloride/ethylene glycol pretreatment combined with …

T Chen, H Wang, J Wang, Q Fu, Y Tang - Industrial Crops and Products, 2023 - Elsevier
Lignin is one of the main components of lignocellulose, which is conducive to controlling
and optimizing the performance of cellulose nanofiber. In the present work, lignin containing …

[HTML][HTML] Antioxidant and antimicrobial emulsions with amphiphilic olive extract, nanocellulose-stabilized thyme oil and common salts for active paper-based packaging

RJ Aguado, E Saguer, Q Tarrés, N Fiol… - International Journal of …, 2024 - Elsevier
Anionic cellulose nanofibers (CNFs) were used to stabilize emulsions that combined water-
soluble (and oil-soluble), strongly antioxidant extracts with a water-immiscible, notably …

[HTML][HTML] REVIEW ON NANOCELLULOSE PRODUCTION FROM AGRICULTURAL RESIDUE THROUGH RESPONSE SURFACE METHODOLOGY AND ITS …

MC Alvarado, MCCD Ignacio, MCG Acabal, ARP Lapuz… - Nano Trends, 2024 - Elsevier
Nanocellulose (NC) shows great potential across industries like food, pharmaceuticals,
cosmetics, textiles, electronics, and construction. It can be sustainably extracted from …

Near-infrared spectroscopy and multivariate analysis as real-time monitoring strategy of TEMPO-mediated oxidation of cellulose fibers from different feedstocks

A Mazega, M Fortuny, G Signori-Iamin, RJ Aguado… - Cellulose, 2024 - Springer
The regioselective oxidation of the primary hydroxyl groups of cellulose, usually mediated by
the (2, 2, 6, 6-tetramethylpiperidin-1-yl) oxyl radical (TEMPO), is highly popular in the …

Pickering emulsions of thyme oil in water using oxidized cellulose nanofibers: Towards bio-based active packaging

RJ Aguado, E Saguer, N Fiol, Q Tarrés… - International Journal of …, 2024 - Elsevier
The antioxidant and antimicrobial properties of thyme essential oil (TEO) are useful for active
food packaging, but its poor aqueous solubility restricts its applications. This work involves …

Machine learning for the prediction and optimization of production of cellulose nanocrystals by sulfuric acid hydrolysis

H Wang, X Pan, H Ge, Q Du, S Cheng - Industrial Crops and Products, 2024 - Elsevier
Develo** an optimal method for cellulose nanocrystals (CNCs) production is promising
and sustainable. Hence, machine learning (ML) algorithms were applied to aid the CNC …

Enzymatic pretreatment for cellulose nanofiber production: Understanding morphological changes and predicting reducing sugar concentration

A Mazega, G Signori-Iamin, RJ Aguado… - International Journal of …, 2023 - Elsevier
Enzymatic pretreatment plays a crucial role in producing cellulose nanofibers (CNFs) before
fibrillation. While previous studies have explored how treatment severity affects CNF …

Bayesian-optimized random forest prediction of key properties of micro-/nanofibrillated cellulose from different woody and non-woody feedstocks

G Signori-Iamin, AF Santos, A Mazega… - Industrial Crops and …, 2023 - Elsevier
The scale-up of nanocellulose production, a still challenging task, could benefit greatly from
machine learning. In this paper, random forest regressors were applied to predict two …