Choline chloride - oxalic acid dihydrate deep eutectic solvent pretreatment of Barley straw for production of cellulose nanofibers.

This study investigates the production of cellulose nanofibers (CNF) from Barley straw using ultrasound-assisted deep eutectic solvent (US-DES) treatment for biomass fractionation and subsequent high-intensity ultrasonication (HIUS) for nano-fibrillation. Two deep eutectic solvents (DES), synthesized from choline chloride (ChCl) and oxalic acid dihydrate (OAD) at 1:1 and 2:1 M ratio, achieved solubilisation of over 80 % of lignin and hemicellulose under optimal conditions. The purification of these DES-treated materials resulted in cellulose with a purity >88 %.

Nanocellulose separation from barley straw via ultrasound-assisted choline chloride - Formic acid deep eutectic solvent pretreatment and high-intensity ultrasonication.

The present study aims at investigating the application of ultrasound assisted choline chloride (ChCl) - formic acid (FA) deep eutectic solvent (DES) pretreatment of Barley straw. In addition, the efficiency of a wet grinding followed by high intensity ultrasound (HIUS) treatment for production of cellulose nanofibers (CNF) has been evaluated. The DES (using ChCl: FA at 1:9 M ratio) treatment at 45 kHz ultrasound frequency and 3 h of treatment duration resulted in 84.

Process optimization of cypermethrin biodegradation by regression analysis and parametric modeling along with biochemical degradation pathway.

Pyrethroid pesticides are of great environmental and health concern with regard to neurotoxicity and ubiquitous occurrence. Here, we reported a new bacterial strain identified as Bacillus cereus AKAD 3-1 that degraded 88.1% of 50 mg/l of cypermethrin in an aqueous medium.

Emerging technologies for the production of nanocellulose from lignocellulosic biomass.

Nanocellulose is a unique and promising natural nanomaterial and has gained significant attention due to its applications in several important areas. Thus, researchers are continuously looking for the most efficient, sustainable, economically viable, and environmentally friendly production technologies to fulfil its growing demand. Conventional production technologies, which include various physical, chemical, and physicochemical methods, are currently inadequate for this purpose and have several limitations such as long processing time, high energy consumption, low recovery of nanocellulose, and many others.

Seaweed Polysaccharide in Food Contact Materials (Active Packaging, Intelligent Packaging, Edible Films, and Coatings).

Food contact materials (FCMs) are materials that come in contact with food products such as food packaging which play a significant role in the food quality and safety. Plastic, which is a major food packaging material, harms the eco-system, wildlife, and the environment. As a result, numerous researches have been in progress on alternative polymers, which has similar properties as plastic but is also environmentally friendly (biodegradable).

Chironji fruit juice extraction using cellulase enzyme: modelling and optimization of process by artificial neural network and response surface methodology.

Chironji fruit juice extraction using cellulase enzyme was performed at various concentrations of cellulase, incubation temperature, and time. Artificial neural network (ANN) conjugated with genetic algorithm (GA), and response surface methodology (RSM) were used for attaining the process conditions where the highest juice yield can be achieved. The recommended values of process parameters obtained using ANN-GA method were cellulase concentration of 0.

Modeling and optimization of pectinase-assisted low-temperature extraction of cashew apple juice using artificial neural network coupled with genetic algorithm.

In this study, pectinase-assisted extraction of cashew apple juice was modeled and optimized using a multi-layer artificial neural network (ANN) coupled with genetic algorithm (GA). The effect of incubation time, incubation temperature, and enzyme concentration on different responses such as yield, turbidity, ascorbic acid content, polyphenol content, total soluble solids, and pH was also determined. The developed ANN has minimum mean squared error values of 0.