基于一测多评法多成分定量结合多元统计分析技术评价不同产地肉桂品质

Evaluation of the Quality of Cinnamomi Cortex from Different Origins Based on QAMS Multi-Component Quantitative Analysis Combined with Multivariate Statistical Analysis Technology

目的建立同步检测肉桂中14个成分含量的方法,并采用多元统计分析技术对不同产地肉桂品质进行综合评价。方法采用HPLC,以原儿茶酸为内参,建立13个待测成分香豆酸、香豆素、肉桂醇、桂皮酸、邻甲氧基肉桂酸、桂皮醛、邻甲氧基肉桂醛、香草酸、丁香酸、对羟基苯甲酸、原花青素B2、表儿茶素和原花青素C1的相对校正因子,计算各成分含量,采用外标法对一测多评法(QAMS)进行验证,结合主成分分析、正交偏最小二乘-判别分析(OPLS-DA)及熵权TOPSIS对肉桂质量进行综合评价。结果外标法方法学验证结果均符合要求;以原儿茶酸为内参建立的相对校正因子在不同试验条件下耐用性良好,各成分含量外标法计算结果与QAMS无明显差异(P>0.05);多元统计分析显示,前2个主成分累计方差贡献率为90.312%,桂皮醛、邻甲氧基肉桂醛、原花青素B2和对羟基苯甲酸对肉桂品质影响较大;熵权TOPSIS结果显示,16批肉桂的Pi值为0.1472~0.7681,不同产地肉桂的品质差异较大,其中广西产地肉桂整体质量最好,其次为广东和云南产地样品,福建产地样品相对较差。结论本研究建立的QAMS多成分定量结合多元统计分析技术可用于肉桂品质的综合评价。

Objective To establish a method for simultaneous determination of 14 components in Cinnamomi Cortex;To comprehensively evaluate its quality by multivariate statistical analysis technology.Methods HPLC method was used to establish the relative correction factors(RCF)between protocatechuic acid and 13 other components of coumalic acid,coumarin,cinnamyl alcohol,cinnamic acid,2-methoxycinnamic acid,cinnamaldehyde,o-methoxycinnamaldehyde,vanillic,syringic acid,4-hydroxybenzoic acid,procyanidin B2,epicatechin and procyanidin C1 to be measured,and the content of each component was calculated.The QAMS method was validated using external standard method(ESM),and the comprehensive quality of Cinnamomi Cortex was evaluated using PCA,OPLS-DA and EW-TOPSIS methods.Results The methodological verification results of ESM were in accordance with the requirements;the RCF established with protocatechuic acid as the reference had good durability under different experimental conditions,and the difference in content of each component between ESM and QAMS was not significant(P>0.05);the results of multivariate statistical analysis showed that accumulative contribution rate of former 2 principle components was 90.312%.Cinnamaldehyde,2-methoxycinnamic acid,procyanidin B2 and 4-hydroxybenzoic acid had a significant impact on the quality of Cinnamomi Cortex.The results of EW-TOPSIS showed that the Pi value of 16 batches of Cinnamomi Cortex ranged from 0.1472 to 0.7681.The quality of Cinnamomi Cortex from different producing areas varied greatly,and the overall quality of Cinnamomi Cortex from Guangxi Province was the best,followed by that from Guangdong Province and Yunnan Province,and the quality of Cinnamomi Cortex from Fujian Province was relatively poor.Conclusion The established QAMS multi-component quantitative method combined with multivariate statistical analysis technology can be used for comprehensive quality evaluation of Cinnamomi Cortex.