The non-linear relationships between the contents of ginsenoside Rg 1, Rb 1, Rd and Panax notoginseng saponins(PNS) in Panax notoginseng root herb and the near infrared(NIR) diffuse reflectance spectra of the herb wer...The non-linear relationships between the contents of ginsenoside Rg 1, Rb 1, Rd and Panax notoginseng saponins(PNS) in Panax notoginseng root herb and the near infrared(NIR) diffuse reflectance spectra of the herb were established by means of artificial neural networks(ANNs). Four three-layered perception feed-forward networks were trained with an error back-propagation algorithm. The significant principal components of the NIR spectral data matrix were utilized as the input of the networks. The networks architecture and parameters were selected so as to offer less prediction errors. Relative prediction errors for Rg 1, Rb 1, Rd and PNS obtained with the optimum ANN models were 8.99%, 6.54%, 8.29%, and 5.17%, respectively, which were superior to those obtained with PLSR methods. It is verified that ANN is a suitable approach to model this complex non-linearity. The developed method is fast, non-destructive and accurate and it provides a new efficient approach for determining the active components in the complex system of natural herbs.展开更多
Three capillary zone electrophoresis (CZE) methods of the frontal analysis (FA), vacancy peak (VP) and simplified Hummel-Dreyer (SHD) were applied to investigate interaction between bovine serum albumin (BSA) and lome...Three capillary zone electrophoresis (CZE) methods of the frontal analysis (FA), vacancy peak (VP) and simplified Hummel-Dreyer (SHD) were applied to investigate interaction between bovine serum albumin (BSA) and lomefloxacin, the experimental condition was established after a large number of tests. Based on the site-binding model, the binding parameters were measured according to the site model by Scatchard.展开更多
文摘The non-linear relationships between the contents of ginsenoside Rg 1, Rb 1, Rd and Panax notoginseng saponins(PNS) in Panax notoginseng root herb and the near infrared(NIR) diffuse reflectance spectra of the herb were established by means of artificial neural networks(ANNs). Four three-layered perception feed-forward networks were trained with an error back-propagation algorithm. The significant principal components of the NIR spectral data matrix were utilized as the input of the networks. The networks architecture and parameters were selected so as to offer less prediction errors. Relative prediction errors for Rg 1, Rb 1, Rd and PNS obtained with the optimum ANN models were 8.99%, 6.54%, 8.29%, and 5.17%, respectively, which were superior to those obtained with PLSR methods. It is verified that ANN is a suitable approach to model this complex non-linearity. The developed method is fast, non-destructive and accurate and it provides a new efficient approach for determining the active components in the complex system of natural herbs.
文摘Three capillary zone electrophoresis (CZE) methods of the frontal analysis (FA), vacancy peak (VP) and simplified Hummel-Dreyer (SHD) were applied to investigate interaction between bovine serum albumin (BSA) and lomefloxacin, the experimental condition was established after a large number of tests. Based on the site-binding model, the binding parameters were measured according to the site model by Scatchard.
