2010
DOI: 10.4028/www.scientific.net/amm.40-41.212
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Sensitivity Analysis of the Quality Evaluation System for Baikal Skullcap Root

Abstract: In this paper, with the aid of a quality evaluation model, we study sensitivity analysis of the quality evaluation system for Baikal skullcap root and compute related sensitivity indices, hence determine the response of pharmacological effect under the model by varying chromatographic fingerprint data. This result is new and provides us with a feasible method for the quality evaluation of Traditional Chinese Herbal Medicine.

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Cited by 1 publication
(3 citation statements)
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“…Secondly, the grey relational analysis (GRA) method introduced in Section III was used to calculate grey relational grade (GRG) and relational polarity of chromatographic fingerprint data for 10 kinds of compositions and identify key compositions of Baikal skullcap root for therapeutic index of anti-RSV (see Section IV). It should be pointed out that, this work is brand new and does not need to establish the mathematical model for the quality evaluation and hence differs from the related sensitivity index method used in [6]. Our results will provide a feasible method for the quality evaluation study of TCHM, and even of Chinese traditional patent medicines.…”
Section: Introductionmentioning
confidence: 72%
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“…Secondly, the grey relational analysis (GRA) method introduced in Section III was used to calculate grey relational grade (GRG) and relational polarity of chromatographic fingerprint data for 10 kinds of compositions and identify key compositions of Baikal skullcap root for therapeutic index of anti-RSV (see Section IV). It should be pointed out that, this work is brand new and does not need to establish the mathematical model for the quality evaluation and hence differs from the related sensitivity index method used in [6]. Our results will provide a feasible method for the quality evaluation study of TCHM, and even of Chinese traditional patent medicines.…”
Section: Introductionmentioning
confidence: 72%
“…This model characterized the correlation between the chromatographic fingerprint data and pharmacological effect data (i.e., antibacterial rate) of Baikal skullcap root. Using this model, the sensitivity indices of chromatographic fingerprint data for ten kinds of compositions was calculated in [6] and how "sensitive" this model is to changes in chromatographic fingerprint data was evaluated. The above results could offer insights into behavior of the quality evaluation system for Baikal skullcap root.…”
Section: Introductionmentioning
confidence: 99%
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