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研究生: 簡君玲
論文名稱: 中藥成分分析方法之開發研究--茵陳蒿、茵陳蒿湯及柴胡加龍骨牡蠣湯
指導教授: 許順吉
學位類別: 碩士
Master
系所名稱: 化學系
Department of Chemistry
畢業學年度: 86
語文別: 中文
論文頁數: 133
中文關鍵詞: 中藥茵陳蒿
論文種類: 學術論文
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  • 高效能液相層析(HPLC)及毛細管電泳(CE)是目前最常用來定量中藥指標成分的分析方法。本研究以CE測定茵陳篙藥材及茵陳篙湯製劑之成分含量,透過HPLC/CE分析方法優缺點的比較,期使中藥的分析更加多元化;另外,本研究亦利用高效能液相層析儀開發柴胡加龍骨牡礪湯的分析條件。
    利用膠束電動力學毛細管層析(MEKC)的分析技術,在20mM硼酸鹽中添加20mM SDS,且藉由NaOH將pH值調整至9.82,可成功地在42分鐘內分離茵陳篙中的12個標準品成分(phenol、O-cresol、m-cresol、p-cresOl、4-ethyl Phenol、6-ethyl phenol、eugenol、Capllarisin、scopletin、chorogenic acid和caffeic acid),尤其是HPLC中不易分離的cresol及ethyl Phenol位置異構物,可在此方法中分離。而利用CD-CZE方法,既可避免CGA前傾現象又可直接用於藥材萃取液中,在22分鐘內順利定量。capillarisin、scopletin、chlorogenic acid和caffic acid等藥效成分。
    茵陳篙湯製劑中含有茵陳篙、桅子及大黃等三種藥材。本研究以MEKC的分析方法,在緩衝溶液中加入尿素,提高了製劑中各個指標成分的解析度,在29分鐘內分析l3個指標成分,且不需要任何複雜的前處理,就可直接用於定量茵陳篙湯之乙醇-水萃取液中的11個成分(chlorogenic acid、caffic acid、capillarisin、6,7-dimethyl esculetin、geniposide、sennosideA、SennosideB、rhein、aloe-emodin、emodin和gallic acid),若再結合茵陳篙的CD-CZE條件(定量rhein、scopoletin、geniposidic acid、Caffeic acid、Capillarisin、和gallic acid),總共可完成茵陳篙湯中13個組成成分的分析定量。其相對標準偏差在0.5~1.51%(intraday,n=6)及0.74~2.03%(interday,n=6)之間 。
    柴胡龍骨牡礪湯是由十一種藥材所組成的方劑,本研究利用逆相HPLC分析方法,以梯度沖提系統[流動相(A)為30mMKH2PO4及10% H3PO4(pH=2.88),流動相(B)為H20/CH3CN=20/80(V/V)],5C18-MS分離管柱及195、254nm的偵測波長,在65分鐘內成功地分離十六個成份,包括大黃的Sennoside A、Sennoside B、rhein、aloe-emodin、emodin和gallic acid,黃苓的baicalin、wogonin 7-O-glucuronide、baicalein、wogonin 和 oroxylinA,半夏的guanosine,桂枝的cinnamaldehyde、cinnaminic acid,生薑的6-gingerol,柴胡的Saikosaponina。各成分的偵測極限範圍在0.02~22.0μg/ml之間。移動時間的標準偏差低於2.72% (n=6)。

    The methods to determine Chinese herbs are usually performed by capillary electrophoresis (CE) and high-performance liguid chromatography (HPLC). In this study, CE method was used to assay the contents of constituents in Artemisiae Capillaris Herba and Yin-chen- hao-tang. By comparing the differences of CE and HPLC, the goal of this study was to provide more choices for Chinese herbs analysis. Besides, a HPLC method was also developed for Chai-hu-chia-lung-ku- mu-li-tang in this study.
    Using the techniques of micellar electrokinetic chromatography (MEKC) with 20mM borate, 20mM sodium dodecyl sulfate and adjusted to pH 9.82 with 0.1N NaOH, we can separate phenol, o- cresol, m-cresol, p-cresol, 4-ethyl phenol, 6-ethyl phenol, eugenol, capillarisin, scopletin, chlorogenic acid and caffeic acid. Especially, the isomers of cresol and ethylphenol that can't be separated in HPLC have been analysed in this method. The CD-CZE mode was used to determine the contents of capillarisin, scopletin, chlorogenic acid and caffeic acid in a methanol extract of Artemisiae Capillaris Herba sample within 22 min .
    Yin-chen-hao-iang, a Chinese herbal preparation, is consisted of Artemisiae Capillaris Herba, Gardeniase Fructus and Rhei Rhizoma. With the addition of urea to MEKC system, the resolutions of compounds were improved in the preparation. In this buffer solution, thirteen contstitnents were separated within 29 mm, Without any complicated sample pretreatment, the contents of chlorogenic acid, caffeic acid, capillarisin, 6,7-dimethyl esculetin, geniposide, sennoside A, sennoside B, rhein, aloe-emodin, emodin and gallic acid in the ethanol- water extract of the sample could be easily determind in this mode. Combining the MEKC with CD-CZE, a total of thirteen compounds in Yin-chen-hao-tang were determind. The relative standard deviations of migration times were 0.50~1.51% (intraday, n=6 ) and 0.74~2.03% (interday, n=6 ).
    A high-performance liguid chromatography (HPLC) was developed to separate sennoside A, sennoside B, rhein, aloe-emodin, emodin, gallic acid, baicalin, wogonin 7-O-glucuronide, baicalein, wogonin, oroxylin A, guanosine, cinnamaldehyde, cinnaminic acid, saikosaponin a and 6- gingerol. Detection at 195 nm and 254 nm with a Cosmosil 5C18-MScolumn and a linear gradient elution system comprising phosphates and acetonitrile was found to be able to determine sixteen constituents within 65 minutes. Limits of detection for these compounds were in the range of 0.02~22.0 μg/mL. The relative standard deviations of migration times were less than 2.72% (n=6).

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