There is a wide biomass spectrum in the United Arab Emirates (UAE). Twenty three different biomass and fractions local to the UAE including lignocellulose (date palm, Moringa peregrina, mangroves, and garden trimmings), halophytes (Salicornia sinus-persica, Salicornia bigelovii, Halodule uninervis, Halophila ovalis, and Halophila stipulacea), macroalgae (Ulva Sp., Padina boergesenii, and Colppmenia sinuosa), and wastes (municipal and manures) were analyzed for bioenergy potential. Bioethanol potential of studied biomass is ranging from 55 to 359 kg ethanol / ton dry biomass. The biomethane potential is ranging from 72 to 288 L CH4 / kg VS biomass. The analysis shows that lignocellulosic biomass tends to give the highest bioethanol potential. Macroalgae (P. boergesenii) offers the least bioethanol potential compared with others, while washed Salicornia bigelovii, lignocellulosic garden trimmings, and camel manure are best suited for biomethane production. Significant variations in bioethanol and biomethane potential are noticed between different biomass fractions.
The assembly of amyloidogenic proteins and peptides into toxic oligomeric and fibrillar aggregates is closely connected to the onset and progression of more than 50 protein diseases, such as Alzheimer’s disease, Parkinson’s disease, prion disease, and type 2 diabetes, to name only a few. Considerable research efforts at identifying the therapeutic strategies against these maladies are currently focused on preventing and inhibiting pathogenic protein aggregation by various agents. Plant-based extracts and compounds have emerged as promising sources of potential inhibitors due to their dual role as nutraceuticals as part of healthy diets and as specific pharmaceuticals when administered at higher concentrations. In recent decades, several plant extracts and plant-extracted compounds have shown potential to modulate protein aggregation. An ever-growing body of research on plant-based amyloid inhibitors requires a detail analysis of existing data to identify potential knowledge gaps. This review summarizes the recent progress in amyloid inhibition using 17 flavonoids, 11 polyphenolic non-flavonoid compounds, 23 non-phenolic inhibitors, and 59 plant extracts, with the main emphasis on directly modulating the fibrillation of four amyloid proteins, namely amyloid-β peptide, microtubule-associated protein tau, α-synuclein, and human islet amyloid polypeptide.
12 September 2023 in Biomass Conversion and Biorefinery
Enzymatic hydrolysis (EH) of the organic fraction of municipal solid waste (OFMSW) is challenging due to its complexity and heterogeneous character. This study investigated the effects of OFMSW compositional characteristics and pretreatment techniques on the efficiency of EH. The experiments involved varying enzymatic dosages and pretreatment methods, including heat pretreatment and anaerobic incubation of raw OFMSW. Remarkably, after thermal pretreatment, a saccharification yield exceeding 50% was achieved with only 1 filter paper unit (FPU) of Cellic® Ctec3 and 0.5 glucoamylase unit (AGU) of AMG® 300 L BrewQ per g of dry OFMSW. This resulted in the recovery of 239 g of sugar per kilogram of dry OFMSW. The study revealed that the decomposition of OFMSW by enzymes is limited after reaching about 50% of the sugar recovery yield, and high concentrations of inhibitors such as organic acids, alcohols, and potentially other organics and inorganics may contribute to this limitation. These compounds, however, serve as excellent preservatives, achieving contamination control during biological conversion. Sugar-rich hydrolysates were subjected to ethanol fermentation using Saccharomyces cerevisiae , leading to the conversion of most hexose sugars into ethanol, reaching 331 g of ethanol per kilogram of dry OFMSW, and indicating that the limitation of OFMSW saccharification was not due to product inhibition. These findings highlight the need for further investigation of the saccharification process of biowaste to overcome inhibitory effects and subsequently achieve higher efficiency of the following bioprocesses.