将连续变化的碰撞能量与串联质谱相结合,建立了能量分辨质谱(Energy-resolved mass spectrometry,ERMS)分析方法用以区分和检测人参皂苷同分异构体20(S)-Rf和Rg_(1).ERMS将子离子与母离子强度的比值定义为强度分数(Intensity fraction,I...将连续变化的碰撞能量与串联质谱相结合,建立了能量分辨质谱(Energy-resolved mass spectrometry,ERMS)分析方法用以区分和检测人参皂苷同分异构体20(S)-Rf和Rg_(1).ERMS将子离子与母离子强度的比值定义为强度分数(Intensity fraction,IF),两个子离子强度的比值定义为强度比(Intensity ratio,IR),并通过IF和IR分别对连续变化的碰撞能量作图建立特征碎片离子的IF和IR曲线.虽然20(S)-Rf和Rg_(1)的串联质谱图无明显差异,但是多元统计分析结果显示其特征碎片离子[M-Glc-H]-,[M-2Glc-H]-和[M-2Glc-C_(6)H_(12)-H]-的IF和IR曲线差异显著,有明显的区分边界,可以直接区分20(S)-Rf和Rg_(1).进一步利用ERMS实时分析了原人参三醇型皂苷生物转化产物中20(S)-Rf和Rg_(1)的相对摩尔含量.结果表明,ERMS不需液相色谱分离即可实现20(S)-Rf和Rg_(1)的快速区分和相对含量检测.展开更多
In the present study of peak particle velocity(PPV)and frequency,an improved algorithm(principal empirical mode decomposition,PEMD)based on principal component analysis(PCA)and empirical mode decomposition(EMD)is prop...In the present study of peak particle velocity(PPV)and frequency,an improved algorithm(principal empirical mode decomposition,PEMD)based on principal component analysis(PCA)and empirical mode decomposition(EMD)is proposed,with the goal of addressing poor filtering de-noising effects caused by the occurrences of modal aliasing phenomena in EMD blasting vibration signal decomposition processes.Test results showed that frequency of intrinsic mode function(IMF)components decomposed by PEMD gradually decreases and that the main frequency is unique,which eliminates the phenomenon of modal aliasing.In the simulation experiment,the signal-to-noise(SNR)and root mean square errors(RMSE)ratio of the signal de-noised by PEMD are the largest when compared to EMD and ensemble empirical mode decomposition(EEMD).The main frequency of the de-noising signal through PEMD is 75 Hz,which is closest to the frequency of the noiseless simulation signal.In geotechnical engineering blasting experiments,compared to EMD and EEMD,the signal de-noised by PEMD has the lowest level of distortion,and the frequency band is distributed in a range of 0-64 Hz,which is closest to the frequency band of the blasting vibration signal.In addition,the proportion of noise energy was the lowest,at 1.8%.展开更多
文摘将连续变化的碰撞能量与串联质谱相结合,建立了能量分辨质谱(Energy-resolved mass spectrometry,ERMS)分析方法用以区分和检测人参皂苷同分异构体20(S)-Rf和Rg_(1).ERMS将子离子与母离子强度的比值定义为强度分数(Intensity fraction,IF),两个子离子强度的比值定义为强度比(Intensity ratio,IR),并通过IF和IR分别对连续变化的碰撞能量作图建立特征碎片离子的IF和IR曲线.虽然20(S)-Rf和Rg_(1)的串联质谱图无明显差异,但是多元统计分析结果显示其特征碎片离子[M-Glc-H]-,[M-2Glc-H]-和[M-2Glc-C_(6)H_(12)-H]-的IF和IR曲线差异显著,有明显的区分边界,可以直接区分20(S)-Rf和Rg_(1).进一步利用ERMS实时分析了原人参三醇型皂苷生物转化产物中20(S)-Rf和Rg_(1)的相对摩尔含量.结果表明,ERMS不需液相色谱分离即可实现20(S)-Rf和Rg_(1)的快速区分和相对含量检测.
基金National Natural Science Foundation of China under Grant Nos.52064015 and 51404111Jiangxi Provincial Natural Science Foundation under Grant No.20192BAB206017+1 种基金Scientific Research Project of Jiangxi Provincial Education Department under Grant No.GJJ160643the Program of Qingjiang Excellent Young Talents,Jiangxi University of Science and Technology under Grant No.JXUSTQJYX2016007。
文摘In the present study of peak particle velocity(PPV)and frequency,an improved algorithm(principal empirical mode decomposition,PEMD)based on principal component analysis(PCA)and empirical mode decomposition(EMD)is proposed,with the goal of addressing poor filtering de-noising effects caused by the occurrences of modal aliasing phenomena in EMD blasting vibration signal decomposition processes.Test results showed that frequency of intrinsic mode function(IMF)components decomposed by PEMD gradually decreases and that the main frequency is unique,which eliminates the phenomenon of modal aliasing.In the simulation experiment,the signal-to-noise(SNR)and root mean square errors(RMSE)ratio of the signal de-noised by PEMD are the largest when compared to EMD and ensemble empirical mode decomposition(EEMD).The main frequency of the de-noising signal through PEMD is 75 Hz,which is closest to the frequency of the noiseless simulation signal.In geotechnical engineering blasting experiments,compared to EMD and EEMD,the signal de-noised by PEMD has the lowest level of distortion,and the frequency band is distributed in a range of 0-64 Hz,which is closest to the frequency band of the blasting vibration signal.In addition,the proportion of noise energy was the lowest,at 1.8%.
