Lignocellulose is the most abundant biomass in nature, and the effective biorefining of them is dependent upon enzymes with high catalytic activity and stability in extreme pH and high temperatures. Due to the molecular constraints for a single enzyme, obtaining a more excellent active pH range can be more easily achievable through the simultaneous activity of two or more enzymes in a cocktail. To address this, we attempted to develop a cocktail of novel thermostable cellulases with high hydrolytic ability and stability. Two cellulases were mined, identified, cloned, and expressed from the camel rumen microbiota. The PersiCel1 demonstrated its maximum relative activity at the pH of 8, and the temperature of 60 °C and the PersiCel2 was optimally active at the pH of 5 and the temperature of 50 °C. Furthermore, utilization of the enzyme cocktail implies the synergistic relationship and significantly increased the saccharification yield of lignocellulosic substrates up to 71.7% for sugar-beet pulp (active pH range of 4-9) and 138.7% for rice-straw (active pH range of 5-8), compared to maximum hydrolysis of Persicel1 or PersiCel2 separately at 55 °C. Our results indicate the probable applicability of PersiCel1, PersiCel2, and their cocktail in numerous industries, specifically biorefineries and lignocellulose bioconversion based technologies. V.The immunomodulatory effects of maca polysaccharides (MCPs) on macrophages have been demonstrated in many studies. However, the effects of MCPs on CD4+ T cells have not been studied. Four water-soluble MCPs, labeled MCP1 (weight-average molecular weights [Mws] of 896.1 and 276.6 kDa), MCP2 (Mws of 337.8 and 219.0 kDa), MCP3 (Mws of 110.6, 58.1, and 38.9 kDa), and MCP4 (Mws of 15.7, 12.6, and 12.1 kDa), were obtained from maca by graded ethanol precipitation. The immunoregulatory effects of MCPs on CD4+ T cells were evaluated for the first time. The experimental results indicated that all MCPs had immunoregulatory effects on CD4+ T cells. However, the effects of MCP2 were stronger compared to the other three components, not only in promoting the proliferation of CD4+ T cells but also in terms of secretion of interferon-γ (IFN-γ). The molecular weight and monosaccharide compositions of MCPs were analyzed to explore the structure-activity relationship. The results suggested that the molecular weight and the galactosamine (GalN) of MCPs might be determining factors for its bioactivity. These findings suggest that the MCP2 isolated in our study have immune potentiation effects on CD4+ T cells. V.The notion that nanoscale surfaces influence protein conformational transitions stimulates the investigation of fibrillogenic polypeptides adsorbing to nanomaterials. Alpha-synuclein (αS) is a prototypical amyloidogenic protein whose aggregation is associated with severe neurodegenerative disorders. We explored the interaction of αS with silica nanoparticles (SNPs) in diverse solution conditions, ranging from protein-free to protein-rich media. We found that the SNP-binding region of αS, determined by site-resolved NMR spectroscopy, was similar in simple buffer and blood serum. Competition binding experiments with isotopic homologues and different proteins showed that cosolutes elicited molecular exchange in a protein-specific manner. The interaction of an oxidized, fibrillation-resistant protein form with SNPs was similar to that of unmodified αS. SNPs, however, did not stimulate fibrillation of the oxidized protein, which remained fibrillation incompetent. CD experiments revealed SNP-induced perturbations of the structural properties of oxidized and non-oxidized αS. Thus, while αS binding to SNPs is essentially orthogonal to fibril formation, the interaction perturbs the distribution of conformational states populated by the protein in the colloidal suspension. This study sheds light on the dynamic nature of αS interactions with NPs, an aspect that crucially impacts on our ability to control aggregation of αS. V.Drug delivery systems with controlled release have been considered important tools for the treatment of various diseases. The efficacy of the drug can be enhanced by increasing its solubility, stability, bioavailability, and specific site delivery. Herein, we investigated cisplatin (cisP) loading efficacy and release potentiality on chitosan (CS) functionalized with magnetite (M), silicon dioxide (S), and graphene oxide (GO) nanoparticles. Different nanocomposites [chitosan-coated magnetite, silicon dioxide, and graphene oxide (CS/M/S/GO); chitosan-coated magnetite and silicon dioxide (CS/M/S); chitosan-coated silicon dioxide (CS/S); and chitosan-coated magnetite (CS/M)] were prepared. The prepared nanocomposites were characterized by X-ray diffraction (XRD), Fourier transform infrared (FT-IR), scanning electron microscopy, transmission electron microscopy (TEM) and energy-dispersive X-ray spectroscopy (EDS). DFT calculations were employed to explore the interaction mechanism of cisP with a selected chitosan-functionalized nanocomposite in the gas phase and water media. The UV-Vis spectroscopy was used to study cisP loading and release from the prepared nanocomposites. The results showed that the highest loading efficacy was achieved by CS/M and CS/M/S/GO nanocomposites (87% and 84% respectively). While the releasing potentiality for CS/M composite was the highest compared with the other ones (91%). Polysaccharide is the main active compound of Lilium, and showed many activities, such as hypoglycemic, antioxidant, immune-modulatory. There are three types' Lilium in China market, i.e. Lilium lancifolium Thunb (JD), Lilium davidiivar. Unicolor Salisb (L. davidii var)(LZBH), and Lilium brownii F.E. Brown var. viridulum Baker (BH). Near infrared spectroscopy (NIR) technique has become popular in the fields of quality control, due to its advantages, such as fast, non-destructive, and can detect several ingredients, simultaneously. In this study, a classification model was established based on NIR technique and random forest method to accurately distinguish three types' Lilium species, and the classification accuracy reached 94.37%. Furthermore, taking the effects of neighbor wavelength into account, a new weighted partial least square algorithm was proposed to establish an accurate and quantitative model for predicting the polysaccharide contents of these samples.  https://www.selleckchem.com/products/VX-765.html  In the model establishing process, some signal pre-treatment methods were optimized, and the validation results with highest determination coefficient (R2) and low root mean square errors of prediction (RMSEP) were, 0.