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信阳毛尖茶叶中矿物元素的主成分分析和品质评价
引用本文:董 喆,李梦怡,胡 越,丁 宏,曹 进.信阳毛尖茶叶中矿物元素的主成分分析和品质评价[J].食品安全质量检测技术,2019,10(1):141-145.
作者姓名:董 喆  李梦怡  胡 越  丁 宏  曹 进
作者单位:中国食品药品检定研究院
摘    要:目的对信阳毛尖茶叶中矿物元素进行检测,构建信阳毛尖质量评价数学模型。方法采用电感耦合等离子体质谱法检测不同产地,不同季节,不同嫩度所制的10个信阳毛尖茶叶样品中矿物元素的含量,采用主成分分析(principal components analysis, PCA)法,构建数学质量评价模型。结果构建的信阳毛尖茶叶质量评价模型为:F=0.9359F1+0.0386F2,与感官评价法一致性良好,表明所构建数学评价模型是可行的。结论构建的评价模型具有客观性和准确性,避免了感官审评的主观性,在信阳毛尖品质划分方面具有一定的推广价值。

关 键 词:电感耦合等离子体质谱法    矿物元素    信阳毛尖    主成分分析
收稿时间:2018/11/29 0:00:00
修稿时间:2018/12/10 0:00:00

Principal component analysis of mineral elements in Xinyang Maojian and its quality evaluation
DONG Zhe,LI Meng-Yi,HU Yue,DING Hong and CAO Jin.Principal component analysis of mineral elements in Xinyang Maojian and its quality evaluation[J].Food Safety and Quality Detection Technology,2019,10(1):141-145.
Authors:DONG Zhe  LI Meng-Yi  HU Yue  DING Hong and CAO Jin
Affiliation:National Institutes for Food and Drug Control,National Institutes for Food and Drug Control,National Institutes for Food and Drug Control,National Institutes for Food and Drug Control and National Institutes for Food and Drug Control
Abstract:Objective To detect the mineral elements in Xinyang Maojian tea, and establish a mathematical model of quality evaluation of xinyang maojian. Methods The content of mineral elements in 10 Xinyang Maojian tea samples from different habitats, seasons and tenderness was detected by inductively coupled plasma mass spectrometry. The principal component analysis (PCA) method was used to construct the mathematical quality evaluation model. Results The constructing mathematical evaluation model of Xinyang Maojian tea was F=0.9359F +0.0386F2, and the results were in close agreement with the sensory evaluation results, showing that the mathematical evaluation model was feasible. Conclusion The evaluation model constructed has the objectivity and accuracy, avoids the subjectivity of sensory evaluation, and has certain promotion value in the quality division of Xinyang Maojian.
Keywords:inductively coupled plasma-mass spectrometry  mineral elements  Xinyang Maojian  principal components analysis
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