金银花营养品质评价体系的构建
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作者单位:

(1.河南省农业科学院芝麻研究中心 郑州 450002;2.河南省农业科学院西峡分院 河南西峡 474550)

作者简介:

梁慧珍(1968—),女,博士,研究员

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基金项目:

国家现代农业产业技术体系建设专项(CARS-21);国家农业科研杰出人才及其创新团队(农财发(2016)45号);河南省药用植物遗传改良创新型科技团队;河南省科技攻关计划项目(182102310062);河南省重大科技专项(181100110300);河南省农业科学院创新创意项目(2020CX03)


Construction of Nutritional Quality Evaluation System of Honeysuckle (Lonicera japonica Thunb.)
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Affiliation:

(1.Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002;2.Xixia Branch, Henan Academy of Agricultural Sciences, Xixia 474550, Henan)

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    摘要:

    构建金银花营养品质评价体系,对筛选和发掘金银花优异资源及金银花药食同源综合利用具有重要意义。本研究以138份不同产地的金银花为试验材料,采用高效液相色谱法测定金银花中的绿原酸、芦丁、木犀草苷、异绿原酸A、异绿原酸C、木犀草素的含量;采用紫外分光光度法测定和计算金银花中总黄酮的含量。采用熵权法、灰色关联度分析和主成分分析建立金银花营养品质综合评价函数,通过概率分布建立金银花营养品质综合评分标准。结果表明,138份参试材料的7种营养成分含量各有差异,变异系数为8.32%~71.23%。7种成分均受环境的影响,然而影响程度不同。相关性分析表明,木犀草苷与绿原酸和芦丁均表现出极显著正相关;异绿原酸A与异绿原酸C表现出极显著正相关;木犀草素与异绿原酸A和异绿原酸C均表现出极显著负相关;总黄酮与异绿原酸A和异绿原酸C均表现出极显著正相关,与木犀草素表现出极显著负相关。PCA将7个营养组分指标简化为3个主成分因子,PC1包括异绿原酸A、异绿原酸C和木犀草素;PC2包括绿原酸和木犀草苷;PC3包括芦丁和总黄酮。3个主成分贡献率分别为44.339%,23.930%和18.382%,累计贡献率为86.651%。在此基础上,建立了金银花营养品质综合评价函数和金银花营养品质综合评分6级标准。利用评价体系对金银花资源营养品质进行综合分析,可以得到更加客观的营养评价结果,为筛选营养品质最优的金银花材料提供依据。

    Abstract:

    The establishment of nutritional quality evaluation system of honeysuckle is of great significance for screening and exploring excellent resources of honeysuckle, and comprehensive utilization of its nutritional and medical values. 138 honeysuckle varieties from different habitats were used as samples in this research. Quantitative analysis of chlorogenic acid, rutin, luteoloside, isochlorogenic acid A, isochlorogenic acid C, luteolin were performed by high performance liquid chromatography. The content of total flavonoids was determined by UV spectrophotometry. The comprehensive evaluation function of nutritional quality of honeysuckle was established by entropy weight method, grey correlation analysis and principal component analysis (PCA), and the comprehensive evaluation standard of nutritional quality of honeysuckle was established by probability distribution. The results demonstrated that there were differences in the contents of seven nutrients among 138 tested materials, and the coefficient of variation was 8.32%-71.23%. All the seven nutrients were affected by the environmentbut different in degrees. Correlation analysis indicated that luteolin was positively correlated with chlorogenic acid and rutin. There was a significant positive correlation between isochlorogenic acid A and isochlorogenic acid C. Luteolin was negatively correlated with isochlorogenic acid A and isochlorogenic acid C. The total flavonoids showed a significant positive correlation with isochlorogenic acid A and isochlorogenic acid C, and a significant negative correlation with luteolin. PCA simplified seven nutritional components into three principal component factors. PC1 includes isochlorogenic acid A, isochlorogenic acid C and luteolin. PC2 includes chlorogenic acid and luteolin. PC3 includes rutin and total flavonoids. The contribution rates of the three principal components were 44.339%, 23.930% and 18.382% respectively, and the cumulative contribution rate was 86.651%. On this basis, the comprehensive evaluation function of nutritional quality of honeysuckle and the six grade standard of nutritional quality of honeysuckle were established. Comprehensive analysis of the nutritional quality of honeysuckle resources by using the evaluation system can get more objective nutritional evaluation results, and provide a basis for screening the best nutritional quality of honeysuckle resources.

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梁慧珍,谭政委,余永亮,杨红旗,许兰杰,杨青,李春明,董薇,李磊,鲁丹丹,安素妨.金银花营养品质评价体系的构建[J].中国食品学报,2022,22(7):248-255

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  • 收稿日期:2021-07-21
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  • 在线发布日期: 2022-08-19
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