| 不同产地黑果腺肋花楸品质分析 |
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| 引用本文： | 孙 怡,李建颖,蒋冬阳,孙嘉辰,邢丽颖,韩 东. 不同产地黑果腺肋花楸品质分析[J]. 食品与生物技术学报, 2022, 41(4): 45-54 |
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| 作者姓名： | 孙 怡 李建颖 蒋冬阳 孙嘉辰 邢丽颖 韩 东 |
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| 作者单位： | 天津商业大学 生物技术与食品科学学院，天津 300134;天津商业大学 生物技术与食品科学学院，天津 300135;天津商业大学 生物技术与食品科学学院，天津 300136;天津商业大学 生物技术与食品科学学院，天津 300137;天津商业大学 生物技术与食品科学学院，天津 300138;天津商业大学 生物技术与食品科学学院，天津 300139 |
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| 摘 要： | 为研究黑果腺肋花楸的品质状况,选取了我国15个不同产地的黑果腺肋花楸样品,对理化品质、营养品质、质构特性以及感官品质进行了综合分析.结果表明,12个品质指标中变异系数大于15％的有9个,包括咀嚼性、花色苷、原花青素、黄酮、多酚等,说明不同产地之间品质差异明显.主成分分析将12个品质指标降维成3个主成分,累积方差贡献率为...
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| 关 键 词： | 黑果腺肋花楸 理化品质 营养品质 质构特性 感官品质 相关性分析 主成分分析 聚类分析 |
Quality Analysis of Aronia melanocarpa from Different Origins |
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| SUN Yi,LI Jianying,JIANG Dongyang,SUN Jiachen,XING Liying,HAN Dong. Quality Analysis of Aronia melanocarpa from Different Origins[J]. Journal of Food Science and Biotechnology, 2022, 41(4): 45-54 |
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| Authors: | SUN Yi LI Jianying JIANG Dongyang SUN Jiachen XING Liying HAN Dong |
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| Affiliation: | School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300134, China;School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300135, China;School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300136, China;School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300137, China;School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300138, China; School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300139, China |
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| Abstract: | In order to study the quality of Aronia melanocarpa , various Aronia melanocarpa samples from 15 different origins in China were investigated, and the physical and chemical quality, nutritional quality, texture characteristics and sensory quality were comprehensively analyzed. The results showed that 9 of the 12 quality indicators had a coefficient of variation greater than 15%, including chewiness, anthocyanin, proanthocyanidin, flavonoid and polyphenol, etc., indicating significant quality differences between samples from different origins. The 12 quality indicators were reduced into 3 principal components by principal component analysis, and their cumulative variance contribution rate was up to 77.42 %, which well-expressed the quality of Aronia melanocarpa , and suggested the top three origins were HLJ-MDJ-8, LN-SY-1 and LN-TL-6. Aronia melanocarpa from different origins could be divided into three categories by cluster analysis, which was basically consistent with the comprehensive ranking results of principal component analysis. Based on the results, it was concluded that HLJ-MDJ-8, LN-SY-1 and LN-TL-6 were more suitable to be used as raw materials to develop health care products due to their high nutrient content, while GS-JC-14 was more suitable for fresh food because of its high sweetness and good taste. |
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| Keywords: | Aronia melanocarpa physical and chemical properties nutritional quality texture characteristics sensory quality correlation analysis principal component analysis cluster analysis |
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