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Determination of the raw material feeding of honeysuchle flowers extract and baikal skullcap root extract in Yinhuang capsules by HPLC-MS/MS / 国际中医中药杂志
Article in Zh | WPRIM | ID: wpr-616072
Responsible library: WPRO
ABSTRACT
Objective To develop a HPLC-MS/MS method for comprehensive monitoring and control of the raw material feeding (honeysuchle flowers extract and baikal skullcap root extract) , and simultaneous determination of chlorogenic acid and baicalin in Yinhuang capsules. Methods The separation was performed on an Inertsil ODS-3 (2.1 mm × 150 mm, 5 μm) analytical column with the mobile phase consisting of methanol- 10 mmol/L ammonium acetate solution by gradient elution program, and the column temperature was 40 ℃. Active ingredients were separated by HPLC, and the Electrospray Ionization Mass (API) source was applied and operated in the negative ion mode, and reactions ion monitoring mode (MRM) for quantitative analysis were selected. Results The samples and the mixed Extract have the same characteristic peak in MS and MS/MS. According to the prescription feeding process, the proprietary Chinese medicine wasdetermined. The results showed that the palladium residue of 6 batches samples were up to the standard by HPLC/MS/MS chromatographic peak areas. The calibration cruve of chlorogenic acid and baicalin were linear: 0.60-4.80 μg/ml (r = 0.9989),2.87-14.40 μg/ml (r = 0.9986), with the relative standard deviation of repeatability by 0.69% and 0.69% respectively, and the mean recovery rate were 95%-102%, 95%-103%, respectively. Conclusions The method was proven to be simple, accurate, reliable, high sensitive and can be used for determination and control of the raw material feeding (honeysuchle flowers extract and baikal skullcap root extract) and quality in Yinhuang capsules.
Key words
Full text: 1 Index: WPRIM Language: Zh Journal: International Journal of Traditional Chinese Medicine Year: 2017 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: International Journal of Traditional Chinese Medicine Year: 2017 Type: Article