THESIS
2012
xxii, 118 p. : ill. (some col.) ; 30 cm
Abstract
Modernization of traditional Chinese medicines has been actively pursued over the past
decades. Advanced biological, chemical, pharmacological and engineering research of
traditional Chinese medicines has been pursued. Despite the advances, the lack of quality
assurance of Chinese herbal medicinal (CHM) products with consistent quality remains a
critical issue to be solved. Nowadays, a typical CHM product is manufactured by following a
fixed recipe of extraction of a fixed herb formula. However, there is huge variation in the
composition of herbs from different sources and inconsistent quality CHM products are
common. The objective of this project is to develop a quality assurance (QA) methodology of
CHM products, which provides a systematic and cost effective way of production...[
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Modernization of traditional Chinese medicines has been actively pursued over the past
decades. Advanced biological, chemical, pharmacological and engineering research of
traditional Chinese medicines has been pursued. Despite the advances, the lack of quality
assurance of Chinese herbal medicinal (CHM) products with consistent quality remains a
critical issue to be solved. Nowadays, a typical CHM product is manufactured by following a
fixed recipe of extraction of a fixed herb formula. However, there is huge variation in the
composition of herbs from different sources and inconsistent quality CHM products are
common. The objective of this project is to develop a quality assurance (QA) methodology of
CHM products, which provides a systematic and cost effective way of production of
consistent quality CHM products irrespective of herb sources.
To achieve this objective, a QA model was developed, which describes the
physicochemical phenomena such as mass transfer and multiple-herb-extraction effect during
herbal extraction. The solubility and the model parameters including partition coefficient,
maximum available amount, mass transfer coefficient, etc. of chemical markers are
determined using experimental methods developed as an integral part of the model. After
specifying the product quality specifications in terms of proportions of chemical marker
concentrations, the model along with the experimental data provides the extraction conditions,
including the type of extraction solvent, volume, temperature and time, and the herb amount of
each quality class needed to produce a CHM product that satisfies the product specifications.
This QA methodology was demonstrated with three single-herb CHM products (Danshen,
Gegen and Ginkgo leaf extracts) and a multiple-herb CHM product (Danshen-Gegen extract).
Experiments showed that the determined QA solutions for the four CHM products were able
to produce products with proportions of chemical marker concentrations fall within 10% of
the specified chemical marker compositions. An H9c2 cell assay was used to test the efficacy
of three Danshen-Gegen extracts of the same quality but were prepared by different herb
combinations. The results showed that the three Danshen-Gegen extracts provided consistent
biological efficacy against menadione-induced toxicity in H9c2 cells.
In addition, the QA methodology is also capable of solving optimization problems, such as
cost minimization and minimization of toxic chemical contents in a CHM product. Cost
minimization of all the four examples was conducted and it was shown that the cost savings
can be significant. The most expensive solution was 13 times the least expensive one in the
case of Gegen extract. Another example was the production of Ginkgo leaf extract. A
consistent quality extract with an acceptable amount of toxic alkylphenols was produced by
the most cost effective option of production.
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