The chemometric approach combining Box–Behnken response surface model and Derringer’s desirability function was applied for simultaneous optimization of resolution and analysis time in countercurrent chromatography (CCC). The mergence of the two parameters was accomplished using the Derringer’s desirability function with subsequent optimization by a Box–Behnken response surface design. The developed model was checked by statistical analysis. By implementing the optimal flow rate, rotation speed and temperature predicted by the validated model, enhanced resolution between two similar analytes (phenol and resorcinol) was achieved in a reasonable time. The analyses and results obtained in this paper will benefit to improve the efficiency of CCC separation.
Overcoming the incompatibility of a pair of conflicting catalysts via a flow methodology has great significance in the practical applications for multistep organic transformations. In this study, a multiple continuous-flow system is developed, which can boost the reactivity and selectivity in a sequential enantioselective cascade reaction. During this process, a periodic mesoporous organosilica-supported Pd/carbene species as a Suzuki cross-coupling catalyst is packed in the first column reactor, whereas another periodic mesoporous organosilica-supported Ru/diamine species as an asymmetric transfer hydrogenation catalyst is packed in the second column reactor. As we envisioned, the initially Pd-catalyzed cross-coupling reaction of meta-/para-chloroacetophenones and aryl boronic acids followed by the subsequentially Ru-catalyzed reduction provides chiral biarylols with enhanced yields and enantioselectivities. Furthermore, the advantages of the easy handling and the simple procedure make this system an attractive application in a scale-up preparation of optically pure organic molecules under environmentally-friendly conditions. 相似文献
Due to the increasing demands for natural gas, it is playing a more important role in the energy system, and its system expansion
planning is drawing more attentions. In this paper, we propose expansion planning models which include both natural gas transmission
network expansion and LNG (Liquified Natural Gas) terminals location planning. These models take into account the uncertainties
of demands and supplies in the future, which make the models stochastic mixed integer programs with discrete subproblems.
Also we consider risk control in our models by including probabilistic constraints, such as a limit on CVaR (Conditional Value
at Risk). In order to solve large-scale problems, especially with a large number of scenarios, we propose the embedded Benders
decomposition algorithm, which applies Benders cuts in both first and second stages, to tackle the discrete subproblems. Numerical
results show that our algorithm is efficient for large scale stochastic natural gas transportation system expansion planning
problems. 相似文献
Isolation and purification of biologically active RNA from filamentous fungi is difficult because of the complex cell wall and the high level of polysaccharides which bind to or co-precipitate with RNA. Using benzyl chloride and guanidine thiocyanate, RNA was successfully isolated from Blakeslea trispora in which other RNA extraction methods and commercially available kits failed to deliver suitable results. The RNA isolated by this procedure appears to be relatively pure, as it has a ratio of absorbance at 260/280 nm of 1.8–1.9. The integrity of the RNA was further substantiated by RT-PCR and Northern hybridization, respectively. This procedure should be useful for isolating RNA from other filamentous fungi and, therefore, will serve as an important tool for the molecular analysis of these organisms. 相似文献