食品科学

• 基础研究 • 上一篇    下一篇

不同品种枸杞子营养成分分析及评价

王益民1,张 珂1,许飞华1,王 玉1,任晓卫1,张宝琳2   

  1. 1.兰州大学公共卫生学院,甘肃 兰州 730000;2.甘肃省林业科学研究院,甘肃 兰州 730020
  • 出版日期:2014-01-15 发布日期:2014-01-22
  • 通讯作者: 王益民
  • 基金资助:

    国家自然科学基金青年科学基金项目(81102205)

Chemical Analysis and Nutritional Evaluation of Different Varieties of Goji Berries (Lycium barbarum L.)

WANG Yi-min1, ZHANG Ke1, XU Fei-hua1, WANG Yu1, REN Xiao-wei1, ZHANG Bao-lin2   

  1. 1. School of Public Health, Lanzhou University, Lanzhou 730000, China;
    2. Gansu Academy of Forestry, Lanzhou 730020, China
  • Online:2014-01-15 Published:2014-01-22
  • Contact: WANG Yi-min

摘要:

测定10个枸杞品种枸杞子的3项外观指标(干果百粒质量、干果果形指数、鲜干果比)和7种营养物质含量(甜菜碱、类胡萝卜素、总糖、枸杞多糖、还原型VC、氨基酸、可溶性固形物),进行10项品质指标的聚类分析和基于主成分分析的枸杞综合品质评价。结果显示:不同品种的枸杞子品质指标存在差异,但变异程度较低。10个枸杞品种可聚为4类,扁果枸杞聚为一类;0901、宁杞4号、宁杞7号聚为一类;蒙杞1号聚为一类;其他5个品种聚为一类。主成分分析中,将10项品质指标简化成4个主成分,其累积方差贡献率为85.87%,反映了枸杞品质的绝大部分信息;评价出0901、扁果枸杞、宁杞7号、宁杞4号4个品种的营养品质较高。

关键词: 枸杞, 聚类分析, 主成分分析, 品质评价

Abstract:

Three appearance indexes (dry weight of 100 berries, berry shape index and fresh-to-dry ratio) and the contents
of seven nutrients in 10 different varieties of goji berries (Lycium barbarum L.) were determined. Based on our analytical
results, cluster analysis and comprehensive quality evaluations were carried out. The results indicated that the quality indexes
of different varieties of goji berries were varied over a relatively narrow range. Cluster analysis showed that 10 varieties of
goji berries could be divided into 4 classes: 1. Bianguo goji; 2 including 0901, Ningqi No.7 and Ningqi No.4; 3. Mengqi
No.1; and 4 including five other varieties. For principal component analysis, four principal components were extracted,
and their cumulative variance contribution rate was up to 85.87%, which reflected mostly the quality characteristics of goji
berries. The results of principal component analysis indicated that 0901, Bianguo goji, Ningqi No.7 and Ningqi No.4 had
better overall quality among the goji varieties tested.

Key words: Lycium barbarum L., cluster analysis, principal component analysis, quality evaluation

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