A fast algorithm is proposed to predict penetration trajectory in simulation of normal and oblique penetration of a rigid steel projectile into a limestone target. The algorithm is designed based on the idea of isolat...A fast algorithm is proposed to predict penetration trajectory in simulation of normal and oblique penetration of a rigid steel projectile into a limestone target. The algorithm is designed based on the idea of isolation between the projectile and the target. Corresponding factors of influence are considered, including analytical load model, cratering effect, free surface effect, and separation-reattachment phenomenon. Besides, a method of cavity ring is used to study the process of cavity expansion. Further, description of the projectile＇s three-dimensional gesture is coded for fast calculation, named PENE3D. A presented. As a result, the algorithm is series of cases with selected normal and oblique penetrations are simulated by the algorithm. The predictions agree with the results of tests, showing that the proposed algorithm is fast and effective in simulation of the penetration process and prediction of the penetration trajectory.展开更多
Codonopsis pilosula(CP),a well-known food medicine homology plant,is commonly used in many countries.In our preliminary study,a series of pyrrolidine alkaloids with high MS responses were detected as characteristic ab...Codonopsis pilosula(CP),a well-known food medicine homology plant,is commonly used in many countries.In our preliminary study,a series of pyrrolidine alkaloids with high MS responses were detected as characteristic absorbed constituents in rat plasma after oral administration of CP extract.However,their structures were unclear due to the presence of various isomers and the lack of reference standards.In the present study,an MS-guided targeted isolation of pyrrolidine alkaloids of CP extract was performed by ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry(UPLC/Q-TOF MS).For data analysis under fast data directed acquisition mode(Fast-DDA),an effective approach named characteristic fragmentation-assisted mass spectral networking was successfully applied to discover new pyrrolidine alkaloids with high MS response in CP extract.As a result,seven new pyrrolizidine alkaloids[codonopyrrolidiums C–I(3–9)],together with two known ones(1 and 2),were isolated and identified by NMR spectral analysis.Among them,codonopyrrolidium B(1),codonopyrrolidium D(4)and codonopyrrolidium E(5)were evaluated for lipid-lowering activity,and they could improve high fructose-induced lipid accumulation in HepG2 cells.In addition,the characteristic MS/MS fragmentation patterns of these pyrrolizidine alkaloids were investigated,and 17 pyrrolidine alkaloids were identified.This approach could accelerate novel natural products discovery and characterize a class of natural products with MS/MS fragmentation patterns from similar chemical scaffolds.The research also provides a chemical basis for revealing in vivo effective substances in CP.展开更多
基金Project supported by the National Natural Science Foundation of China(No.11202236)
文摘A fast algorithm is proposed to predict penetration trajectory in simulation of normal and oblique penetration of a rigid steel projectile into a limestone target. The algorithm is designed based on the idea of isolation between the projectile and the target. Corresponding factors of influence are considered, including analytical load model, cratering effect, free surface effect, and separation-reattachment phenomenon. Besides, a method of cavity ring is used to study the process of cavity expansion. Further, description of the projectile＇s three-dimensional gesture is coded for fast calculation, named PENE3D. A presented. As a result, the algorithm is series of cases with selected normal and oblique penetrations are simulated by the algorithm. The predictions agree with the results of tests, showing that the proposed algorithm is fast and effective in simulation of the penetration process and prediction of the penetration trajectory.
基金The work was supported by the Science and Technology Projects in Guangzhou(No.202201010484)。
文摘Codonopsis pilosula(CP),a well-known food medicine homology plant,is commonly used in many countries.In our preliminary study,a series of pyrrolidine alkaloids with high MS responses were detected as characteristic absorbed constituents in rat plasma after oral administration of CP extract.However,their structures were unclear due to the presence of various isomers and the lack of reference standards.In the present study,an MS-guided targeted isolation of pyrrolidine alkaloids of CP extract was performed by ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry(UPLC/Q-TOF MS).For data analysis under fast data directed acquisition mode(Fast-DDA),an effective approach named characteristic fragmentation-assisted mass spectral networking was successfully applied to discover new pyrrolidine alkaloids with high MS response in CP extract.As a result,seven new pyrrolizidine alkaloids[codonopyrrolidiums C–I(3–9)],together with two known ones(1 and 2),were isolated and identified by NMR spectral analysis.Among them,codonopyrrolidium B(1),codonopyrrolidium D(4)and codonopyrrolidium E(5)were evaluated for lipid-lowering activity,and they could improve high fructose-induced lipid accumulation in HepG2 cells.In addition,the characteristic MS/MS fragmentation patterns of these pyrrolizidine alkaloids were investigated,and 17 pyrrolidine alkaloids were identified.This approach could accelerate novel natural products discovery and characterize a class of natural products with MS/MS fragmentation patterns from similar chemical scaffolds.The research also provides a chemical basis for revealing in vivo effective substances in CP.
