Effect of surface-screening parameter of the Yukawa potential model on vapour–liquid phase coexistence and critical-point properties of confined Yukawa fluid

We report the effect of surface-screening parameter of Yukawa potential model on vapour–liquid phase coexistence and critical-point properties of slit–pore-confined Yukawa fluid, using grand canonical transition-matrix Monte Carlo along with the histogram reweighting method. The effect of surface-screening parameter on the vapour–phase coexistence density is insignificant for the studied system. On the other hand, significant effect of surface-screening parameter is observed on liquid phase coexistence density. With increasing surface-screening parameter, liquid phase coexistence density decreases. Critical-point properties have shown monotonic decreasing trends with increase in surface-screening parameter. Moreover, the effect of change of surface-screening parameter is least on critical temperature changes as compared to critical density and critical pressure changes for the studied Yukawa system in this work.     

Probing the effect of nitro groups in nitramine based energetic molecules: a DFT and charge density study

The structure, electron density distribution, energetic and electrostatic properties of simple nitramine based energetic TMA, DMNA, MDA and TNA molecules were determined using density functional theory (B3LYP) with the 6-311G^** and aug-cc-pVDZ basis sets coupled with Bader's theory of atoms in molecules. In the NO₂ group substituted molecules, the N–N bond distance increases with the increase of NO₂ groups, whereas in C–N bonds, this effect is relatively less, and the distances are almost equal. The topological analysis of electron density reveals that the electron density ρ_bcp(r) of C–N and N–N bonds are significantly decreasing with the increase of NO₂ groups in the nitramine molecules. The Laplacian of electron density ▽²ρ_bcp(r) of N–NO₂ bonds [DMNA: ? 16.7 eÅ^? 5, MDA: ? 12.8 eÅ^? 5 and TNA: ? 7.9 eÅ^? 5] of the molecules are relatively less negative, and the values also decrease with the increase of NO₂ groups; this implies that the charge concentration decreases with the increase of NO₂ groups, which leads to weakening the N–N bonds of the molecules. The isosurface of molecular electrostatic potential displays high electronegative regions around the NO₂ groups. The oxygen balance OB₁₀₀ of the molecules increases as the number of NO₂ group increases in the molecules, in which, the TNA molecule having maximum OB₁₀₀ value [+7.89]. The band gap, heat of detonation, bond dissociation energy and charge imbalance are predominantly depends on the number of NO₂ group present in the molecule. The charge imbalance parameter (ν) has been calculated for all molecules, which reveals that TNA is a highly sensitive molecule, the corresponding ν value is 0.047.     

Solid lipid nanoparticles for transdermal delivery of avanafil: optimization,formulation, in-vitro and ex-vivo studies

Context: Avanafil (AVA) is used in the treatment of erectile dysfunction, but is reported for its poor aqueous solubility. Solid lipid nanoparticles (SLNs) are lipid carriers that can greatly enhance drug solubility and bioavailability.

Objective: This work was aimed to formulate and optimize AVA SLNs with subsequent loading into hydrogel films for AVA transdermal delivery.

Materials and methods: AVA SLNs were prepared utilizing homogenization followed by ultra-sonication technique. The prepared SLNs were characterized for particle size, charge, surface morphology and drug content. The optimized SLNs formulation was incorporated into transdermal films prepared using HPMC and chitosan. Hydrogel films were evaluated for ex-vivo rat skin permeation using automated Franz diffusion cells. The permeation parameters and the release mechanism were evaluated. The transdermal permeation of the prepared AVA SLNs through the skin layers was studied using confocal laser scanning microscope.

Results: Lipid concentration and % of oil in lipid had a pronounced effect on particle size while, entrapment efficiency was significantly affected by lipid concentration and % of cholesterol. The optimized AVA SLNs showed particle size and entrapment efficiency of 86?nm and 85.01%, respectively. TEM images revealed spherecity of the particles. High permeation parameters were observed from HPMC films loaded with AVA SLNs. The release data were in favor of Higuchi diffusion model. The prepared AVA SLNs were able to penetrate deeper in skin layers.

Conclusion: HPMC transdermal film-loaded AVA SLNs is an effective and alternative to per-oral drug administration.     

Improvement in the bleaching of kraft pulp with xylanase from Penicillium crustosum FP 11 isolated from the Atlantic forest

Xylanase produced from the newly isolated Penicillium crustosum FP 11 and its potential in the prebleaching of kraft pulp were evaluated using a statistical approach. A Plackett–Burman design (PBD) was carried out to select the significant variables of the medium, these being NaNO₃, KH₂PO₄, MgSO₄, KCl, Fe₂(SO₄)₃, yeast extract, corn stover, and initial pH, in a liquid culture under static conditions for 6 d at 28?°C. Statistical analysis with a central composite design and response surface methodology showed that 0.15% (w/v) KH₂PO₄, 2% (w/v) corn stover, and an initial pH of 6.0 provided the best conditions for xylanase production. Furthermore, xylanase from P. crustosum FP 11 was effective in the bleaching of Eucalyptus kraft pulp, with a significant kappa efficiency of 35.04%. Therefore, the newly isolated P. crustosum FP 11 from the Atlantic Forest biome in Brazil showed two advantages: xylanase production with agricultural residue (corn stover) as a carbon source and an improvement in the bleaching of kraft pulp. Environmental pollution could thus be minimized because of a reduction in the use of chlorine as a bleaching agent.     

Estimation of hurdle clearance parameters using a monocular human motion tracking method

This paper presents a method of monocular human motion tracking for estimation of hurdle clearance kinematic parameters. The analysis involved 10 image sequences of five hurdlers at various training levels. Recording of the sequences was carried out under simulated starting conditions of a 110 m hurdle race. The parameters were estimated using the particle swarm optimization algorithm and they are based on analysis of the images recorded with a 100 Hz camera. The proposed method does not involve using any special clothes, markers, inertial sensors, etc. As the quality criteria, the mean absolute error and mean relative error were used. The level of computed errors justifies the use of this method to estimate hurdle clearance parameters.     

真菌联合稀碱预处理杜仲叶提取杜仲胶的工艺研究

以杜仲干叶为原料,经稀碱和绿色木霉联合处理以除去杜仲表面覆盖的角质层,同时洗脱一些可溶性杂质,并且破坏杜仲叶的细胞壁与纤维结构,再以石油醚作为提取溶剂,得到粗胶再经丙酮浸洗获得杜仲精胶。用0.45%NaOH在75℃下除去杜仲叶表面的角质层,并且同时脱除一些可溶性活性成分(如:多糖、黄酮类、京尼平苷等),之后得杜仲叶干燥,利用绿色木霉去破坏杜仲叶的细胞壁与纤维结构,在85℃条件下以石油醚作为提取溶剂提取杜仲胶。最后,经测得未处理前杜仲叶中的杜仲胶的含量为1.78%,0.45%NaOH稀碱预处理后含量为3.16%,绿色木霉发酵后含量为4.36%。预处理前,有机溶剂一次提取率为0.73%,纯度为83.7%。稀碱与真菌联合预处理后一次提取率为2.85%,纯度为96.6%。本工艺以稀碱与绿色木霉共同作用,减少了有机溶剂的用量,与传统工艺相比,更加的绿色环保,安全有效,为杜仲胶的提取提供了科学有效的依据。     

L-氨基酸脱氨酶的分子改造及其用于全细胞催化法生产α-酮戊二酸条件的优化

酮戊二酸(α-ketoglutaric acid,α-KG)是谷氨酸脱氨基的酮酸产物,作为一种重要的有机酸广泛用于食品、医药、精细化工等领域。为提高L-氨基酸脱氨酶全细胞催化法合成α-KG的效率及产量,首先通过优化全细胞催化剂制备条件及全细胞转化反应条件,包括发酵过程中的温度、诱导剂浓度、诱导剂添加时刻、诱导时间等;全细胞转化过程中的温度、pH、细胞量、转化时间。各个条件优化后以200g/L谷氨酸钠为底物时,产量最终提高了54. 9%,摩尔转化率为39. 6%。其次,通过定点饱和突变对L-氨基酸脱氨酶进行定向进化以提高其催化能力。经过多次突变、筛选,最优突变体E. coli BL21-pET-20b(+)-pm1152催化200g/L谷氨酸钠生成α-KG最高产量为100. 9g/L,摩尔转化率为64. 7%,较最初对照菌株提高了66. 3%。结果表明,条件优化和饱和突变可有效提高重组大肠杆菌全细胞转化合成α-KG的能力。     

皮下种植黑色素瘤对小鼠血液中脂肪和氨基酸代谢的影响*

目的:探讨皮下种植黑色素瘤对小鼠血液中相关脂肪和氨基酸代谢的影响。方法:野生型小鼠皮下种植B16黑色素瘤细胞,两周后观察小鼠并取不同的组织称重,检测血液中甘油三酯、葡萄糖、脂肪酸、炎症因子的水平。利用质谱方法检测血液中氨基酸的水平。结果:野生型小鼠皮下肿瘤种植2周后体重没有明显变化,脾脏和肝脏的重量明显增加,皮下脂肪组织和腹腔脂肪组织的重量没有明显变化。血液中甘油三酯的水平明显增高,葡萄糖和甘油的水平明显下降。血液中炎症因子Interleukin 6(IL6)和Interferon gamma(IFNγ)的水平明显增加。血液的质谱结果显示有四种氨基酸的水平有明显变化,其中胱氨酸(Cystine)增加了约30倍,丝氨酸(Serine)、谷氨酰胺(Glutamine)和色氨酸(Tryptophan)分别有不同程度的降低。结论:皮下黑色素瘤显著影响小鼠机体营养状态和炎症,并特异性影响血液中氨基酸的代谢。     

Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change

Plant functional traits provide a link in process‐based vegetation models between plant‐level physiology and ecosystem‐level responses. Recent advances in physiological understanding and computational efficiency have allowed for the incorporation of plant hydraulic processes in large‐scale vegetation models. However, a more mechanistic representation of water limitation that determines ecosystem responses to plant water stress necessitates a re‐evaluation of trait‐based constraints for plant carbon allocation, particularly allocation to leaf area. In this review, we examine model representations of plant allocation to leaves, which is often empirically set by plant functional type‐specific allometric relationships. We analyze the evolution of the representation of leaf allocation in models of different scales and complexities. We show the impacts of leaf allocation strategy on plant carbon uptake in the context of recent advancements in modeling hydraulic processes. Finally, we posit that deriving allometry from first principles using mechanistic hydraulic processes is possible and should become standard practice, rather than using prescribed allometries. The representation of allocation as an emergent property of scarce resource constraints is likely to be critical to representing how global change processes impact future ecosystem dynamics and carbon fluxes and may reduce the number of poorly constrained parameters in vegetation models.