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基于紫外可见光谱·指纹图谱和高效液相色谱·指纹图谱对不同采收期鸡蛋花叶片的鉴别及质量评价

[Distinguish and Quality Estimation of the Leaves of Alstonia scholaris (L.) R. Br. from Different Harvest Time Based on the UV-Vis·FP and HPLC·FP].

作者信息

Yang Ni-na, Zhang Ji, Zhao Yan-li, Wang Yuan-zhong, Zhao Ying-hong

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2016 Dec;36(12):4021-7.

Abstract

UV-Vis and HPLC fingerprint of different harvest time of the leaves of Alstonia scholaris (L.) R. Br. were establish the for identification and quality evaluation to promote the development of Dai Medicine modernization. The optimal extraction condition was used to obtain UV - vis data of different harvest time which were deducted background and eight spot smooth, were collected to make the principal component analysis in SIMCA-P(+)11.5, identifying the samples quickly with the first three principal component three-dimensional diagram. The HPLC fingerprint were obtained with Agilent ZORBAX Eclipse XDB C18 (250×4.6 mm, 5 μm) chromatographic column with the mobile phase of acetonitrile (B) - water (contain 0.1% formic acid) (A) for gradient elution (0~5 min, 5% B; 5~35 min, 5% B→26% B; 35~40 min, 26% B→56% B). The wavelength was set at 287 nm and the column temperature was maintained at 30 ℃. The flow rate was 1.0 mL·min-1 and the injection volume was 7 μL. The HPLC fingerprint of different harvest time of the leaves of Alstonia scholaris (L.) R. Br. was analysised by cluster analysis to quality evaluation. Research findings showing: (1) The UV-Vis spectrogram of different harvest time of the leaves of Alstonia scholaris (L.) R. Br. were divided into three parts according to the absorption peak position and amplitude of variation. The first was 235 to 400 nm, the second was 400 to 500 nm, and the third was 500 to 800 nm. In the first part, absorption peak were focused on 270, 287 and 325 nm, which can reflect the fingerprint character for the high absorbance and amplitude of variation. Absorption peak were distributed in 410 and 464 nm in the second part, absorbance and amplitude of variation were lower than the first part. There was a bigger absorption peak at 665 nm in the third part, but the absorbance had no difference. The UV-Vis data of different harvest time were gathered to make the principal component analysis, the result was that the samples of same month were concentrated distribution, but different month samples were dispersed distribution. (2) HPLC fingerprint were divided into three categories through hierarchical cluster analysis, 3, 4, 5 and 7 month were the first category, 6, 8, 9 month samples were second category, the others were third category. Chemical composition and content of the same category samples were similar, but the different category samples had a obvious difference, more important is that the third category samples content was the highest. Combining UV-Vis FP and HPLC FP can identify and evaluate quickly the samples of different harvest time of the leaves of Alstonia scholaris (L.) R. Br. The optimal harvest time of Alstonia scholaris (L.) R. Br. was from October to next February, which was the coldest season in the Dai calendar.

摘要

建立了鸡骨常山不同采收期叶片的紫外 - 可见光谱(UV - Vis)和高效液相色谱(HPLC)指纹图谱,用于鸡骨常山的鉴别和质量评价,以促进傣药现代化发展。采用最佳提取条件获取不同采收期的UV - vis数据,扣除背景并进行八点平滑处理后,在SIMCA - P(+)11.5软件中进行主成分分析,通过前三主成分三维图快速鉴别样品。采用Agilent ZORBAX Eclipse XDB C18(250×4.6 mm,5 μm)色谱柱,以乙腈(B) - 水(含0.1%甲酸)(A)为流动相进行梯度洗脱(0~5 min,5% B;5~35 min,5% B→26% B;35~40 min,26% B→56% B),设置检测波长为287 nm,柱温30℃,流速1.0 mL·min⁻¹,进样量7 μL,对鸡骨常山不同采收期叶片的HPLC指纹图谱进行聚类分析以评价质量。研究结果表明:(1)鸡骨常山不同采收期叶片的UV - Vis光谱图根据吸收峰位置和变化幅度分为三部分。第一部分为235~400 nm,第二部分为400~500 nm,第三部分为500~800 nm。第一部分吸收峰集中在270、287和325 nm处,吸光度和变化幅度大,能反映指纹特征。第二部分吸收峰分布在410和464 nm处,吸光度和变化幅度低于第一部分。第三部分在665 nm处有一个较大吸收峰,但吸光度无差异。对不同采收期的UV - Vis数据进行主成分分析,结果显示同月样品集中分布,不同月样品分散分布。(2)通过系统聚类分析将HPLC指纹图谱分为三类,3、4、5和7月的样品为第一类,6、8、9月的样品为第二类,其他为第三类。同一类样品的化学成分和含量相似,但不同类样品有明显差异,更重要的是第三类样品含量最高。结合UV - Vis指纹图谱和HPLC指纹图谱可快速鉴别和评价鸡骨常山不同采收期的样品。鸡骨常山的最佳采收期为10月至次年2月,此为傣历中最冷的季节。

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