Mentha haplocalyx(Mentha canadensis)is widely used as a medicinal plant in traditional Chinese medicine,and the extracts of its aerial parts are found to signifcantly inhibit the activity ofα-glucosidase with an IC_(...Mentha haplocalyx(Mentha canadensis)is widely used as a medicinal plant in traditional Chinese medicine,and the extracts of its aerial parts are found to signifcantly inhibit the activity ofα-glucosidase with an IC_(50) value of 21.0μg/mL.Bioactivity-guided isolation of the extracts aforded two new compounds(1 and 2),together with 23 known ones(3-25).Their structures were established by extensive spectroscopic analyses(1D and 2D NMR,MS,IR and UV).Compounds 1-17 and 21-25 were evaluated for theirα-glucosidase inhibitory activities.Compound 11 was the most active ones with an IC_(50) values of 83.4μM.These results verify theα-glucosidase inhibitory activity of M.haplocalyx(M.canadensis)and specify its active compounds for the frst time.展开更多
Mentha haplocalyx(mint)is a significant traditional Chinese medicine(TCM)listed in the Catalogue of’Medicinal and Food Homology’,therefore,its geographical origins(GOs)are critical to the medicinal and food value.La...Mentha haplocalyx(mint)is a significant traditional Chinese medicine(TCM)listed in the Catalogue of’Medicinal and Food Homology’,therefore,its geographical origins(GOs)are critical to the medicinal and food value.Laser-induced breakdown spectroscopy(LIBS)is an advanced analytical technique for GOs certification,due to the fast multi-elemental analysis requiring minimal sample pretreatment.In this study,LIBS data of sampled mint from five GOs were investigated by LIBS coupled with multivariate statistical analyzes.The spectral data was analyzed by two chemometric algorithms,i.e.principal component analysis(PCA)and least squares support vector machines(LS-SVM).Specifically,the performance of LS-SVM with least kernel and radial basis function(RBF)kernel was explored in sensitivity and robustness tests.Both LS-SVM algorithms exhibited excellent performance of classification in sensitive test and good performance(a little inferior)in robustness test.Generally,LS-SVM with linear kernel equally outperformed LS-SVM based on RBF kernel.The result indicated the potential for future applications in herbs and food,especially for in situ GOs applications of TCM authenticity rapidly.展开更多
基金supported by the CAS Hundred Talents Program,the Youth Innovation Promotion Association of the Chinese Academy of Sciences(CN),and Southeast Asia Biodiversity Research Institute,CAS(2017CASSEABRIQG003).
文摘Mentha haplocalyx(Mentha canadensis)is widely used as a medicinal plant in traditional Chinese medicine,and the extracts of its aerial parts are found to signifcantly inhibit the activity ofα-glucosidase with an IC_(50) value of 21.0μg/mL.Bioactivity-guided isolation of the extracts aforded two new compounds(1 and 2),together with 23 known ones(3-25).Their structures were established by extensive spectroscopic analyses(1D and 2D NMR,MS,IR and UV).Compounds 1-17 and 21-25 were evaluated for theirα-glucosidase inhibitory activities.Compound 11 was the most active ones with an IC_(50) values of 83.4μM.These results verify theα-glucosidase inhibitory activity of M.haplocalyx(M.canadensis)and specify its active compounds for the frst time.
基金supported by National Natural Science Foundation of China(Nos.81903796,81603396 and 31870338)the National Key Research and Development Program of China(No.2019YFC1711200)+2 种基金Major new drug innovation project of the ministry of science and technology(2018ZX09201011)Scientific and Technological Planning Projects of Colleges and Universities of Shandong Province(No.J18KA287)Binzhou Medical University Research Startup Fund Project(No.BY2016KYQD02)。
文摘Mentha haplocalyx(mint)is a significant traditional Chinese medicine(TCM)listed in the Catalogue of’Medicinal and Food Homology’,therefore,its geographical origins(GOs)are critical to the medicinal and food value.Laser-induced breakdown spectroscopy(LIBS)is an advanced analytical technique for GOs certification,due to the fast multi-elemental analysis requiring minimal sample pretreatment.In this study,LIBS data of sampled mint from five GOs were investigated by LIBS coupled with multivariate statistical analyzes.The spectral data was analyzed by two chemometric algorithms,i.e.principal component analysis(PCA)and least squares support vector machines(LS-SVM).Specifically,the performance of LS-SVM with least kernel and radial basis function(RBF)kernel was explored in sensitivity and robustness tests.Both LS-SVM algorithms exhibited excellent performance of classification in sensitive test and good performance(a little inferior)in robustness test.Generally,LS-SVM with linear kernel equally outperformed LS-SVM based on RBF kernel.The result indicated the potential for future applications in herbs and food,especially for in situ GOs applications of TCM authenticity rapidly.
