紫苏叶和白苏叶叶色数字化表征及与花青素含量相关性研究  

Digital characterization of color of perilla leaf and white perilla leaf and correlation with contents of anthocyanin

作　　者：聂黎行[1] 王馨平 康帅[1] 于健东[1] 魏锋[1] 马双成 NIE Lixing;WANG Xinping;KANG Shuai;YU Jiandong;WEI Feng;MA Shuangcheng(National Institutes for Food and Drug Control,Beijing 100050,China;Hebei University of Chinese Medicine,Hebei Shijiazhuang 050000,China;Chinese Pharmacopeia Commission,Beijing 100061,China)

机构地区：[1]中国食品药品检定研究院,北京100050 [2]河北中医学院,河北石家庄050000 [3]国家药典委员会,北京100061

出　　处：《中国医院药学杂志》2024年第21期2477-2483,共7页Chinese Journal of Hospital Pharmacy

基　　金：国家重点研发计划“中医药现代化”重点专项(编号:2023YFC3504100)。

摘　　要：目的:对双面紫紫苏叶、面绿背紫紫苏叶、双面绿白苏叶的叶色进行数字化表征,建立花青素含量测定方法,探讨不同样品的差异及色数值与花青素含量的相关性。方法:利用体视荧光显微镜测定和提取R、G、B、L*、a*、b*、E*ab 7种色数值。样品经含2.5%盐酸的60%乙醇溶液提取,以氯化矢车菊素为对照,采用分光光度法测定花青素含量。利用偏最小二乘-判别分析(partial least squares-discriminant analysis,PLS-DA)研究不同叶色样品的差异。对7个色数值与花青素含量进行Pearson相关分析,并建立逐步多元线性回归模型。结果:叶色值测定方法精密度、重复性、稳定性试验的相对标准偏差均低于3%。花青素含量测定方法线性关系良好,精密度、重复性、稳定性试验的相对标准偏差均低于3%,平均回收率为99.8%。双面紫紫苏叶、面绿背紫紫苏叶、双面绿白苏叶的R值和花青素含量依次降低,E*ab值依次升高,3种样品的G值、B值、L*值、a*值、b*值无显著性差异。PLS-DA可将30批样品按叶色分为3类,R值与花青素呈极显著正相关。结论:所建方法灵敏、准确、简便、快速。该研究实现了紫苏叶和白苏叶颜色的数字化表达,揭示了叶色与内在成分的关联性,可为药用紫苏叶的“辨色论质”研究提供科学依据。OBJECTIVE To perform digital characterization of color of perilla leaf with both surfaces purple(PP),perilla leaf with upper surface green and lower surface purple(GP) and white perilla leaf with both surfaces purple green(GG) for establishing determination method of anthocyanin and explore the differences between different samples and the correlation between colorimetric value and anthocyanin content.METHODS Fluorescent microscope was utilized for measuring seven colorimetric values of R,G,B,L*,a*,b* and E*ab.The sample was extracted with a 60% ethanol solution containing 2.5% hydrochloric acid.Contents of anthocyanin were determined by spectrophotometry with oxidized cyanidin as a reference substance.Partial least squares-discriminant analysis(PLS-DA) was employed for examining the difference between samples with different colors.Pearson's correlation analysis and stepwise multiple linear regression were performed on 7 colorimetric values and anthocyanin content.RESULTS The relative standard deviations for precision,repeatability and stability tests of leaf color were all below 3.0%.Calibration curve of anthocyanin displayed a decent linearity within its test ranges.Its relative standard deviations for precision,repeatability and stability were all below 3.0%.Average recovery was 99.8%.R value and anthocyanin content of PP,GP and GG declined sequentially while E*ab value spiked sequentially.No significant difference existed in values of R,G,B,L*,a*,b*or E*ab among three kinds of samples.PLS-DA could classify 30 batches of samples into 3 categories based upon leaf color and a positive correlation existed between R value and anthocyanin content.CONCLUSION The proposed methods are sensitive,accurate,simple and fast.Digital expression of color of perilla leaf and white perilla leaf has been achieved in this study,revealing the correlation between leaf color and internal component and providing rationales for “quality evaluation based upon color” of medicinal perilla leaf.

关 键 词：紫苏叶 白苏叶 数字化表征 花青素 相关性 

分 类 号：R932[医药卫生—生药学]