分析与检测

不同品种花生红衣中八种酚类物质成分分析

  • 高锦鸿 ,
  • 芦鑫 ,
  • 孙强 ,
  • 黄纪念 ,
  • 王强 ,
  • 贾聪 ,
  • 王瑞丹
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  • 1(河南省农科院农副产品加工研究所,河南 郑州,450002)
    2(河南省农产品生物活性物质工程技术研究中心,河南 郑州,450002)
    3(中国农业科学院农产品加工研究所,北京,100193)
第一作者:硕士,助理研究员(黄纪念研究员为通信作者,E-mail:hjinian@sina.com)

收稿日期: 2021-06-15

  修回日期: 2021-07-19

  网络出版日期: 2022-08-19

基金资助

国家重点研发计划资助(2016YFD0400200)

Analysis of eight phenolic contents in peanuts skin from different cultivars

  • GAO Jinhong ,
  • LU Xin ,
  • SUN Qiang ,
  • HUANG Jinian ,
  • WANG Qiang ,
  • JIA Cong ,
  • WANG Ruidan
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  • 1(Institute of Agricultural and Sideline Products Processing, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China)
    2(Research Centre for Agricultural and Sideline Products Processing, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China)
    3(Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China)

Received date: 2021-06-15

  Revised date: 2021-07-19

  Online published: 2022-08-19

摘要

为探讨不同品种花生红衣中酚类物质的含量差异,建立了HPLC同时测定花生红衣中8种酚类物质的方法,对40种花生红衣中的酚类物质进行了检测,并采用多种分析方法进行综合评价。结果表明,以X-Bridge shield RP18色谱柱(4.6 mm×250 mm, 5 μm)为固定相,以A[V(乙酸)∶V(乙腈)=1∶1 000],B[V(乙酸)∶V(水溶液)=1∶1 000]为流动相进行梯度洗脱,多波长检测,在此条件下8种酚类物质能较好分离,且重复性好(相对标准偏差≤3.92%),精密度高 (相对标准偏差≤1.96%)。统计分析和热图分析表明,不同品种花生红衣中8种酚类物质存在较大差异;相关性分析表明,原儿茶酸、儿茶素、表儿茶素没食子酸酯与原花青素C1,儿茶素与咖啡酸之间均呈现极显著正相关,阿魏酸与原儿茶酸、原花青素C1、表儿茶素没食子酸酯之间均呈现极显著负相关;40种花生红衣样品可聚类成三大类。因此,不同花生红衣中酚类物质的种类及含量存在较大差异,且酚类物质间具有一定的相关性。该研究可为挖掘我国花生种质资源优势提供理论参考。

本文引用格式

高锦鸿 , 芦鑫 , 孙强 , 黄纪念 , 王强 , 贾聪 , 王瑞丹 . 不同品种花生红衣中八种酚类物质成分分析[J]. 食品与发酵工业, 2022 , 48(14) : 218 -225 . DOI: 10.13995/j.cnki.11-1802/ts.028379

Abstract

To investigate the difference of phenolic contents in peanuts skin from different cultivars, a HPLC method was established for simultaneous determination of 8 phenolic compounds in 40 peanuts skin varieties. Various analysis methods were used for comprehensive evaluation.The chromatographic separation was achieved using an X-Bridge shield RP18(4.6 mm×250 mm, 5 μm) through gradient elution with a the mobile phasesconsisting of acetic acid in water (volume ratio 1∶1 000, A) and acetic acid in acetonitrile (volume ratio 1∶1 000, B). The detection wavelengthswere set at 250,280, 320 and 370 nm. The results showed that 8 phenolic compounds could be separated well withgood repeatability(RSD≤3.92%) and stability (RSD≤1.96%).Statistical analysis and heat map analysis showed that there were obvious differences in 8 phenolic substances among the varieties. Correlation analysis showed that there was astrong positive correlation between protocatechuic acid, catechin, epicatechin gallate and procyanidin C1, catechin and caffeic acid. Moreover,there was astrong negative correlation between ferulic acidandthree components, including protocatechuic acid, procyanidin C1 and epicatechin gallate. Cluster analysisshowed that 40 peanut skins could be clustered into 3 categories.Therefore, there were obvious differences among the varieties.And there was a certain correlation between phenolic substances.This study could provide a theoretical reference for exploring the advantages of peanut germplasm resources in China.

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