Quality Evaluation and Identification of Phyllanthi Fructus at Different Storage Years Based on HPLC-UV and FT-NIR

Sheng-nan MAO; Lu-ming QI; Fu-rong ZHONG; Chan SHEN; Yun-tong MA; Jin PEI

doi:10.13422/j.cnki.syfjx.20190813

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Quality Evaluation and Identification of Phyllanthi Fructus at Different Storage Years Based on HPLC-UV and FT-NIR

Resource and Quality Evaluation | 更新时间：2021-02-09

- Quality Evaluation and Identification of Phyllanthi Fructus at Different Storage Years Based on HPLC-UV and FT-NIR
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 25, Issue 12, Pages: 181-186(2019)
- 作者机构：
  
  成都中医药大学　药学院，成都　 611137
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20190813
  CLC： R284.1; R289; R22; R2-031
- Received：10 July 2018，
  
  Published Online：05 January 2019，
  
  Published：20 June 2019
- 稿件说明：
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Sheng-nan MAO, Lu-ming QI, Fu-rong ZHONG, et al. Quality Evaluation and Identification of Phyllanthi Fructus at Different Storage Years Based on HPLC-UV and FT-NIR[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(12): 181-186.
DOI：

Sheng-nan MAO, Lu-ming QI, Fu-rong ZHONG, et al. Quality Evaluation and Identification of Phyllanthi Fructus at Different Storage Years Based on HPLC-UV and FT-NIR[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(12): 181-186. DOI： 10.13422/j.cnki.syfjx.20190813.

摘要

目的：

探寻不同贮藏年限余甘子有效成分变化规律，为其保存策略提供理论依据。

方法：

采集7个不同贮藏年限的余甘子材料，高效液相色谱紫外光谱(HPLC-UV)测定没食子酸、柯里拉京、诃黎勒酸、鞣花酸、槲皮素的含量，阐明其主要活性成分累积特征；傅立叶变换近红外光谱(FT-NIR)记录样品整体光谱指纹图谱，偏最小二乘判别(PLS-DA)模型鉴别不同贮藏年限余甘子样品。

结果：

2015年版《中国药典》指标性成分没食子酸含量最高，其次是鞣花酸与诃黎勒酸，柯里拉京与槲皮素的含量较少；各成分在不同贮藏年限间样品中具有显著性差异(

0.05)，没食子酸和槲皮素均在贮藏6年时达最大值，分别为79.36和1.68 mg·g

－1

，贮藏4年样品中诃黎勒酸、柯里拉京、鞣花酸累积最高，分别是18.85，7.97，21.46 mg·g

－1

。MSC＋SG二阶求导(窗口参数为11，多项式次数为3)优化FT-NIR数据，不同贮藏年限样品的分类正确率为84.5%；以最低交叉验证均方根误差为准则，降维光谱数据为若干重要潜在变量并与5种活性成分含量数据融合，鉴别正确率提高到98.8%。

结论：

基于HPLC-UV和FT-NIR技术，该研究有效阐述不同贮藏年限余甘子5种主要代谢成分累积特征；结合数据融合策略，PLS-DA模型能较好鉴别不同质量样品。该结果可为不同贮藏年限余甘子的质量鉴别及评价提供一定的科学依据。

Abstract

Objective:

To explore the change rules of active ingredients in Phyllanthi Fructus of different storage years

in order to provide theory basis for storage.

Method:

Seven Phyllanthi Fruatus samples of different storage years were collected. HPLC-UV detection method was established to determine the contents of gallic acid

corilagin

chebulagic acid

ellagic acid and quercetin. Samples were fingerprinted by FT-NIR and identified by PLS-DA model.

Result:

Gallic acid

which was the bioactive marker in

Chinese Pharmacopoeia

had the highest content. It was followed by ellagic acid and chebulagic acid

and corilagin and quercetin had the least content. The components had significant differences between samples of different storage years (

0.05). Gallic acid and quercetin reached the maximum value at 6 years of storage

which were 79.36 and 1.68 mg·g

-1

respectively. The contents of chebulagic acid

corilagin and ellagic acid reached a maximum at 4 years of storage

which were 18.85

7.97

21.46 mg·g

-1

respectively. FT-NIR data was optimized by MSC+ SG (second derivative

the window parameter as 11

and the polynomial order as 3). The classification accuracy was 84.5%. Spectral data reduced to several important potential variables

and was fused with 5 active components based on minimum cross-validation root mean square error

and the classification accuracy increased to 98.8%.

Conclusion:

The analysis of PLS-DA by HPLC-UV and FT-NIR could effectively explain the accumulation characteristics of active components in Phyllanthi Fruatus. According to the data fusion strategy

PLS-DA model could distinguish samples of different qualities. The results provide a scientific basis for the quality evaluation and identification of Phyllanthi Fruatus.

关键词

Keywords

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