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中国精品科技期刊2020
詹春莲,陈新富,麦力文,等. 基于HPLC指纹图谱的木薯叶类黄酮质量研究[J]. 食品工业科技,2021,42(15):240−246. doi: 10.13386/j.issn1002-0306.2020080093.
引用本文: 詹春莲,陈新富,麦力文,等. 基于HPLC指纹图谱的木薯叶类黄酮质量研究[J]. 食品工业科技,2021,42(15):240−246. doi: 10.13386/j.issn1002-0306.2020080093.
ZHAN Chunlian, CHEN Xinfu, MAI Liwen, et al. Cassava Leaf Flavonoids Quality Investigation Based on HPLC Fingerprint[J]. Science and Technology of Food Industry, 2021, 42(15): 240−246. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020080093.
Citation: ZHAN Chunlian, CHEN Xinfu, MAI Liwen, et al. Cassava Leaf Flavonoids Quality Investigation Based on HPLC Fingerprint[J]. Science and Technology of Food Industry, 2021, 42(15): 240−246. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020080093.

基于HPLC指纹图谱的木薯叶类黄酮质量研究

Cassava Leaf Flavonoids Quality Investigation Based on HPLC Fingerprint

  • 摘要: 在建立高效液相色谱(HPLC)指纹图谱表征木薯叶类黄酮基础上,采用相似度评价、聚类分析(CA)、主成分分析(PCA),评价木薯叶类黄酮质量、分析与其质量密切相关的特征成分。结果表明,HPLC 指纹图谱的方法学考察符合相关要求,共确定5个共有峰,18个样品的相似度大于0.88且样品得分点均位于主成分公差椭圆之内,表明不同品种不同植龄的木薯叶类黄酮的质量较一致。CA显示,不同品种不同植龄的样品亦能聚到一起,表明木薯叶类黄酮的质量受品种和植龄的共同影响。PCA表明,前3个主成分的累积方差贡献率为86.748%,SC10-180 d、SC205-120 d、SC205-180 d 样品的综合得分最高(>2.2)、质量最好;芦丁X3峰、二氢黄酮苷X6峰、穗花杉双黄酮X15峰与木薯叶类黄酮质量有密切的相关性。该研究方法与结果,为评价木薯叶类黄酮质量提供新途径,同时为其质量控制提供了参考依据。

     

    Abstract: Based on the establishment of high performance liquid chromatography(HPLC) fingerprint for cassava leaf flavonoids, similarity evaluation(SE), cluster analysis(CA) and principal component analysis (PCA) were used to evaluate the quality of cassava leaf flavonoids and determine the key components that led to their quality differences. This study indicated that the results of method validation of HPLC fingerprint met technical standards. Five common peaks was verified, and the similarities of 18 leaf flavonoids samples from six cassava varieties at three planting were higher than 0.88, simultaneously the sample score points were located within the tolerance ellipse of PCA, which showed that the quality of cassava leaf flavonoids from different cultivars and planting ages was relatively consistent. CA showed that samples from different cultivars and different planting ages could also cluster together, indicating that the quality of cassava leaf flavonoids was influenced by both cultivars and planting ages. Three principal components with the characteristic root cumulative contribution rate reaching 86.748% were screened out by PCA results. The composite score of SC10-180 d, SC205-120 d, SC205-180 d were the highest (2.2 above), and they had the best quality. The peaks of rutin X3, hesperidin X6 and amentoflavone X15 were important reasons for the quality difference of samples. The analysis method and result of fingerprint combined with SE, CA, PCA in this paper can provide a new approach for the quality assessment of cassava leaf flavonoids and also be good for their quality control.

     

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