Mechanical sensitivity analysis and optimization of a large-aperture KDP frequency converter for higher SHG efficiency.

The effective energy density at the target of inertial confinement fusion facility is subject to the problem of the low efficiency of second harmonic generation of large-aperture KDP frequency converters over a long time. To overcome this problem, we propose the optomechanical analysis method to correlate the mechanical factors with its critical physical performance in theory. Further, combined with experiments and simulations, the mechanical sensitivity of the frequency converter is completely explained from the microscopic and macroscopic perspectives. Finally, we introduce a moment-dominated clamping scheme that is expected to greatly improve the online service performance of the converter.

Surface control apparatus and method of optical transmission with large aperture based on self-adaptive force-moment technology.

Surface control of large-aperture transmission optics in both on-line working, and off-line testing, states is perceived as one of the most important requirements, and the largest engineering challenge, in high-power solid-state laser facilities. Consequently, a surface control apparatus and method was proposed based on the self-flexible force-moment technology and principle of load linearity, respectively. A series of analyses were conducted using the proposed apparatus and method both mechanically and numerically. Furthermore, the principle of phase mismatch induced by distortion and second harmonic generation (SHG) efficiency was analysed theoretically. Finally, the trends of the surface RMS value and efficiency under different load regimes on certain loading states were deduced, and the trends in the best surface RMS value and efficiency of each loading state were analysed.

Quantitative Model Establishment for Volatile Oils from Rhizoma Wenyujin Concisum by Near-infrared Spectrometry / 中国药师

Objective: To established a near-infrared spectroscopy quantitative model for the rapid determination of volatile oils from Rhizoma wenyujin concisum. Methods:Firstly, the volatile oils from Rhizoma wenyujin was determined by the distillation method described in Chinese Pharmacopoeia. The quantitative calibration model was established and optimized by fourier transformation near-infrared spectroscopy ( FT-NIR) combined with partial least square ( PLS) regression. The calibration model was evaluated by the coef-ficient (r), root-mean-square error of calibration (RMSEC) and root mean square of cross-validation (RMSECV) of the calibration model as well as the root mean square of prediction ( RMSEP) of prediction model. Results: In the combination of FT-NIR and PLS regression, the spectrum of 7189-4227 cm-1 , 8813-7478 cm-1 and"second spectrum+MSC" were chosen to establishe and optimize the quantitative calibration model. For the quantitative calibration model, the r, RMSEC and RMSECV of volatile oils was 0. 9769, 0. 0907 and 0. 3773, respectively. For the prediction model, the r and RMSEP of volatile oils was 0. 9053 and 0. 1960, respective-ly. Conclusion:The established near-infrared spectroscopy quantitative model is relatively stable, accurate and reliable in the simulta-neous quantitative analysis of volatile oils, and is expected to be used for the rapid determination of volatile oils from Rhizoma wenyujin concisum.

Quantitative Model Establishment for Volatile Oils from Rhizoma Wenyujin Concisum by Near-infrared Spectrometry / 中国药师

Objective: To established a near-infrared spectroscopy quantitative model for the rapid determination of volatile oils from Rhizoma wenyujin concisum. Methods:Firstly, the volatile oils from Rhizoma wenyujin was determined by the distillation method described in Chinese Pharmacopoeia. The quantitative calibration model was established and optimized by fourier transformation near-infrared spectroscopy ( FT-NIR) combined with partial least square ( PLS) regression. The calibration model was evaluated by the coef-ficient (r), root-mean-square error of calibration (RMSEC) and root mean square of cross-validation (RMSECV) of the calibration model as well as the root mean square of prediction ( RMSEP) of prediction model. Results: In the combination of FT-NIR and PLS regression, the spectrum of 7189-4227 cm-1 , 8813-7478 cm-1 and"second spectrum+MSC" were chosen to establishe and optimize the quantitative calibration model. For the quantitative calibration model, the r, RMSEC and RMSECV of volatile oils was 0. 9769, 0. 0907 and 0. 3773, respectively. For the prediction model, the r and RMSEP of volatile oils was 0. 9053 and 0. 1960, respective-ly. Conclusion:The established near-infrared spectroscopy quantitative model is relatively stable, accurate and reliable in the simulta-neous quantitative analysis of volatile oils, and is expected to be used for the rapid determination of volatile oils from Rhizoma wenyujin concisum.

Studies on the Change of the Content of Polysaccharides in Crude and Processed Fructus Corni / 中药新药与临床药理

Objective To investigate the change of the content of polysaccharides in crude and processed Fructus Corni,thus to approach the process mechanism of Fructus Corni.Methods The content of polysaccharides in the crude and processed Fructus Corni was determined by phenol-sulfuric acid method.Results After processing with wine,the content of polysaccharides of Fructus Corni decreased from 10.12 %(content of total polysaccharidesbeing 51.41 %) to 5.91 %(content of total polysaccharidesbeing 53.10 %),decreased by 41.60 %as compared with that in the crude Fructus Corni.Conclusion After processing with wine,the content of polysaccharides decreases markedly.The results provide certain evidence for approaching the process mechanism of Fructus Corni.