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3 results on '"Processing of traditional Chinese medicine"'

1. Comparison of Different Processing Methods of Ziziphus jujuba Mill.

Author

Lianfang LI

Subjects
*JUJUBE (Plant), *FLAVONOIDS, *ABSORPTION spectra, *CHINESE medicine
Abstract

[Objectives] To study and compare the processing methods of Ziziphus jujuba Mill. [Methods] Z. jujuba was processed by seven methods: cleaning, yellowish frying, burnt frying, carbonized frying, moistening by hot sand, steaming, and boiling. Ultraviolet-visible spectrophotometry was used to determine the content of total flavonoids in each processed Z. jujuba. [Results] The content of total flavonoids measured by various processing methods was different. The content of total flavonoids in the processed Z. jujuba by moistening by hot sand was relatively high and the absorption peak spectrum was almost the same as that of the cleaned processed Z. jujuba and the rutin reference substance. [Conclusions] The moistening by hot sand is the optimal method for processing of Z. jujuba. [ABSTRACT FROM AUTHOR]

Published
2021
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2. Effects of growth conditions and processing on Rehmannia glutinosa using fingerprint strategy

Author

Chang, W.T., Thissen, U., Ehlert, K.A., Koek, M.M., Jellema, R.H., Hankemeier, T., Greef, J. van der, Wang, M., and TNO Kwaliteit van Leven TNO Voeding

Subjects
Quality Control, Drug quality, Rehmannia glutinosa extract, Climate, Principal component analysis, Natural product, Gas Chromatography-Mass Spectrometry, Soil, Metabolite profiling, Rehmannia glutinosa L, Plant root, Humans, Analysis of variance, Plant metabolism, Biology, Herbaceous agent, Analytical research, Plant growth, Gas chromatography, ANOVA-simultaneous component analysis, Processing of traditional Chinese medicine, Chinese medicine, Mass spectrometry, fungi, ASCA, Nonhuman, Drug manufacture, Rehmannia, Rehmannia glutinosa, Drug metabolite, Drug determination, GC-MS, Herbal medicine, Drugs, Chinese Herbal, Phytotherapy
Abstract

Metabolite profiling in combination with multivariate statistics is a sophisticated method for quality assessment of natural products. For the development of a quality control strategy in Traditional Chinese Medicine (TCM), we have measured the metabolite fingerprints of Rehmannia glutinosa by GC-MS. Plants were grown under different climate and soil conditions in a phytotron and were processed by a variable number of repetitive steps to investigate the effects on both growth conditions and processing for material medica of R. glutinosa. The GC-MS data have been analyzed by principal component analysis (PCA) and the new approach of the ANOVA-simultaneous component analysis (ASCA) which can combine the information from a structured data design with multivariate analysis. The results clearly show the effect of the different factors and indicate directions for process improvement. When plants were grown under various temperatures, humidity and light intensities for a short period (3 weeks), no significant changes on studied metabolites were observed. However, significant changes were found between different processing cycles. The present data clearly indicate the importance of strictly controlling processing in R. glutinosa and illustrate the impact of growth conditions. This is the first report on the metabolite profile of R. glutinosa that provides a base for the establishment of a quality control strategy. © Georg Thieme Verlag KG Stuttgart.

Published
2006

3. Effects of growth conditions and processing on Rehmannia glutinosa using fingerprint strategy

Subjects
Quality Control, Drug quality, Rehmannia glutinosa extract, Climate, Chinese Herbal, Principal component analysis, Natural product, Gas Chromatography-Mass Spectrometry, Soil, Metabolite profiling, Rehmannia glutinosa L, Plant root, Humans, Analysis of variance, Plant metabolism, Biology, Herbaceous agent, Analytical research, Plant growth, Gas chromatography, ANOVA-simultaneous component analysis, Processing of traditional Chinese medicine, Chinese medicine, Mass spectrometry, fungi, Drugs, ASCA, Nonhuman, Drug manufacture, Rehmannia, Rehmannia glutinosa, Drug metabolite, Drug determination, GC-MS, Herbal medicine, Phytotherapy
Abstract

Metabolite profiling in combination with multivariate statistics is a sophisticated method for quality assessment of natural products. For the development of a quality control strategy in Traditional Chinese Medicine (TCM), we have measured the metabolite fingerprints of Rehmannia glutinosa by GC-MS. Plants were grown under different climate and soil conditions in a phytotron and were processed by a variable number of repetitive steps to investigate the effects on both growth conditions and processing for material medica of R. glutinosa. The GC-MS data have been analyzed by principal component analysis (PCA) and the new approach of the ANOVA-simultaneous component analysis (ASCA) which can combine the information from a structured data design with multivariate analysis. The results clearly show the effect of the different factors and indicate directions for process improvement. When plants were grown under various temperatures, humidity and light intensities for a short period (3 weeks), no significant changes on studied metabolites were observed. However, significant changes were found between different processing cycles. The present data clearly indicate the importance of strictly controlling processing in R. glutinosa and illustrate the impact of growth conditions. This is the first report on the metabolite profile of R. glutinosa that provides a base for the establishment of a quality control strategy. © Georg Thieme Verlag KG Stuttgart.

Published
2006

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