Determination of Mass Transfer Coefficients for A Mixture of Compost,Sugarcane Bagasse,and Granulated Activated Carbon as Packing Medium in Biofilter

ABSTRACT

A laboratory-scale biofilter unit packed with a mixture of compost, sugarcane bagasse, and granulated activated carbon (GAC) in the ratio of 55:30:15 by weight was used for a biofiltration study of air stream containing benzene, toluene, ethylbenzene, and o-xylene (BTEX). The effect of superficial velocity on mass transfer coefficient for the packing was studied by maintaining gas flow rates of 3, 4, 5, 6, and 8 L min^?1 for inlet concentrations of 0.1, 0.4, and 0.8 g m^?3 for each of benzene, toluene, ethylbenzene, and o-xylene. The maximum elimination capacity was found to be 20.92, 22.72, 20.73, and 18.94 g m^?3 h^?1 for BTEX, respectively, for stated flow rates. Removal efficiency of BTEX decreased from 99% to 71% for increasing inlet concentration from 0.1 to 0.8 g m^?3. Gas film mass transfer coefficient predicted by modified Onda's equation was within ±10% of the experimental values.     

Design and synthesis of novel 2,4-disubstituted aminopyrimidines: reversible non-covalent T790M EGFR inhibitors

Abstract

Cardiotoxicity is one amongst the adverse effect of Osimertinib delineate in clinical trials and related to escalating doses. To triumph over the drawbacks of Osimertinib, in this study, we tend to delineate the design, synthesis, in vitro biological analysis of a series of novel reversible selective T790M inhibitors with minimal cardiotoxicity. Amongst the virtually sorted compounds; compound 18 and 74 have been located to be the foremost active compounds of the series with IC₅₀ value of 0.88, 0.92?μM in cellular assay and 0.56, 0.62?μM in enzymatic assay, against double mutant L858R/T790M EGFR. Additionally, they showed much less affinity toward wild-type (WT)-EGFR with minimal cardiotoxicity.     

Identification of GR and TrxR systems in Setaria cervi: Purification and characterization of glutathione reductase

The glutathione reductase (GR) and thioredoxin reductase (TrxR) are important enzymes of the redox system that aid parasites to maintain an adequate intracellular redox environment. In the present study, the enzyme activity of GR and TrxR was investigated in Setaria cervi (S. cervi). Significant activity of both enzymes was detected in the somatic extract of adult and microfilariae stages of S. cervi. Both GR and TrxR were separated by partial purification using ammonium sulfate fractionation and DEAE ion exchange chromatography suggesting the presence of both glutathione and thioredoxin systems in S. cervi. The enzyme glutathione reductase (ScGR) was purified to homogeneity using affinity and ion exchange chromatography that resulted in 90 fold purification with a yield of 11.54%. The specific activity of the ScGR was 643 U/mg that migrated as a single band on SDS-PAGE. The subunit molecular mass was determined to be ~ 50 kDa while the optimum pH and temperature were found to be 7.0 and 35 °C respectively. The activation energy (Ea) was calculated from the slope of Arrhenius plot as 16.29 ± 1.40 kcal/mol. The Km and Vmax were determined to be 0.27 ± 0.045 mM; 30.30 ± 1.30 U/ml with NADPH and 0.59 ± 0.060 mM; 4.16 ± 0.095 U/ml with GSSG respectively. DHBA, a specific inhibitor for GR has completely inhibited the enzyme activity at 1 μM concentration. The inhibition of ScGR activity with NAI (IC₅₀ 0.71 mM), NEM (IC₅₀ 0.50 mM) and DEPC (IC₅₀ 0.27 mM) suggested the presence of tyrosine, cysteine and histidine residues at its active site. Further studies on characterization and understanding of these antioxidant enzymes may lead to designing of an effective drug against lymphatic filariasis.     

Modeling the activity of glutathione as a hydroxyl radical scavenger considering its neutral non-zwitterionic form

Glutathione is an immensely important antioxidant, particularly in the central nervous system. The scavenging mechanism of glutathione towards the OH radical was studied theoretically, considering its neutral, non-zwitterionic form relevant to acidic media. Gibbs free barrier and released energies involved in hydrogen abstraction from the different sites of glutathione by an OH radical were studied at the B3LYP/6-31G(d,p), B3LYP/AUG-cc-pVDZ, M06/AUG-cc-pVDZ, M06-2X/AUG-cc-pVDZ levels of density functional theory. Solvation in bulk aqueous media was also studied at all these levels of theory employing the polarizable continuum model. Our study shows that a hydroxyl radical can abstract a hydrogen atom easily from glutathione. Thus, glutathione is shown to be an efficient scavenger of OH radicals, which is in agreement with the results of previous studies.

Plasmon-Enhanced Light Trapping to Improve Efficiency of TiO2 Nanorod-Based Dye-Sensitized Solar Cell

Localized surface plasmon resonance incurred by silver nanoparticles is used to enhance the photoelectric conversion efficiency of a TiO₂ nanorod-based dye-sensitized solar cell (DSSC). Improved light transmission is observed experimentally in silver nanoparticle-coated FTO glass. The transmission data are used to explore the effect on electrical parameters of DSSC using theoretical model. Current density increased from 11.7 to 12.34 mA/cm² and open-circuit voltage increased from 704 to 709.5 mV. Overall efficiency enhancement of 6.67 % is observed in TiO₂ nanorod-based DSSC due to plasmon-induced light trapping.     

Resveratrol depletes mitochondrial DNA and inhibition of autophagy enhances resveratrol-induced caspase activation

We recently demonstrated that resveratrol induces caspase-dependent apoptosis in multiple cancer cell types. Whether apoptosis is also regulated by other cell death mechanisms such as autophagy is not clearly defined. Here we show that inhibition of autophagy enhanced resveratrol-induced caspase activation and apoptosis. Resveratrol inhibited colony formation and cell proliferation in multiple cancer cell types. Resveratrol treatment induced accumulation of LC3-II, which is a key marker for autophagy. Pretreatment with 3-methyladenine (3-MA), an autophagy inhibitor, increased resveratrol-mediated caspase activation and cell death in breast and colon cancer cells. Inhibition of autophagy by silencing key autophagy regulators such as ATG5 and Beclin-1 enhanced resveratrol-induced caspase activation. Mechanistic analysis revealed that Beclin-1 did not interact with proapoptotic proteins Bax and Bak; however, Beclin-1 was found to interact with p53 in the cytosol and mitochondria upon resveratrol treatment. Importantly, resveratrol depleted ATPase 8 gene, and thus, reduced mitochondrial DNA (mtDNA) content, suggesting that resveratrol induces damage to mtDNA causing accumulation of dysfunctional mitochondria triggering autophagy induction. Together, our findings indicate that induction of autophagy during resveratrol-induced apoptosis is an adaptive response.     

Network Class Superposition Analyses

Networks are often used to understand a whole system by modeling the interactions among its pieces. Examples include biomolecules in a cell interacting to provide some primary function, or species in an environment forming a stable community. However, these interactions are often unknown; instead, the pieces'' dynamic states are known, and network structure must be inferred. Because observed function may be explained by many different networks (e.g., for the yeast cell cycle process [1]), considering dynamics beyond this primary function means picking a single network or suitable sample: measuring over all networks exhibiting the primary function is computationally infeasible. We circumvent that obstacle by calculating the network class ensemble. We represent the ensemble by a stochastic matrix , which is a transition-by-transition superposition of the system dynamics for each member of the class. We present concrete results for derived from Boolean time series dynamics on networks obeying the Strong Inhibition rule, by applying to several traditional questions about network dynamics. We show that the distribution of the number of point attractors can be accurately estimated with . We show how to generate Derrida plots based on . We show that -based Shannon entropy outperforms other methods at selecting experiments to further narrow the network structure. We also outline an experimental test of predictions based on . We motivate all of these results in terms of a popular molecular biology Boolean network model for the yeast cell cycle, but the methods and analyses we introduce are general. We conclude with open questions for , for example, application to other models, computational considerations when scaling up to larger systems, and other potential analyses.