指纹图谱的一种定性定量研究新方法：总量统计矩分析法

A new qualitative and quantitative analytical method of chromatographic fingerprints:total quantum statistical moment

本文运用了统计矩原理阐明并建立中药复方多成分指纹图谱定性定量分析法:总量统计矩方法。包括4个参数:①总零阶矩AUCT;②总响应率AUCPWT;③总量一阶矩MCRTT,亦总量中心矩或总量平均保留时间,用λ-T表示;④总体二阶矩VCRTT,亦为平均保留时间方差,用σ-T2表示。AUCT能用于中药复方指纹图谱定量分析,AUCPWT、MCRTT、VCRTT能用于中药复方指纹图谱定性分析。以此法研究不同产地大黄醇浸膏成分HPLC指纹图谱,得总量统计矩参数:AUCT为3.273×108μV·s;AUCPWT为2.286×106μV·s·mg-1;MCRTT为33.50min;VCRTT为484.4min2;浓度CT为143.2mg·mL-1。本法具有加合运算的特征,能消除溶剂干扰,获得纯品的总量统计矩参数;具偶联性,能与多维向量偶联构成多维曲线中心矩及偏差分析。

A new qualitative and quantitative analytical method of the chromatographic fingerprints： the Total Quantum Statistical Moment （TQSM） has been eluciated and established according to statistical moment principle. The study was carried out with model drugs as the alcohol extracted liquid for Radix et Rhizoma Rhei （AELRR） by HPLC under the chromatographic conditions that the column was C18 , 4.6 mm×250 mm, 5 μm; the detection of wavelengths was set at 254 nm; a solution of acetonitrile： 1% acetic acid water （from 0∶100 to 100∶0） was carried with gradient elution as the mobile phase; the ratio of flow was 1 mL·min^-1 ; the temperature was 40 ℃. The coefficients were dealt with Excel document. It has been established the expressions that consists of four main parameters： ① total quantum zero moment as AUCT, area under curve; ② total quantum respondent ratio as AUCPWT, area under curve per weight; ③ total quantum center moment as MCRTT, mean chromatographic retention time of total quantum, expressed by λγ; ④ total quantum variance as VCRTT, variance of mean chromatographic retention time of total quantum, expressed by σ^2T, by which we have obtained. The TQSM’s parameters of the AELRR, such as AUCT as 3.273×10^8 μV·s, AUCPWT as 2.286×10^6 μV·s·mg^-1 , MCRTT as 33.50 min, VCRTT as 484.4 min^2, and total quantum concentration as 143.2 mg·mL^-1 . The total quantum statistic moment can be characterized the curve of chromatographic fingerprints with expressive parameters above, also used to quantitative analyses by AUCT, to qualitative analyses by AUCPWT, MCRTT and VCRTT.