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广陈皮的外观颜色客观量化及其陈化年份判别模型的建立 被引量:11

Objective Quantification of Appearance Color and Construction of Aging Year Discrimination Model of Citri Reticulatae Pericarpium
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摘要 目的:依据色度分析原理对广陈皮外观颜色进行客观量化研究,为广陈皮的陈化年份鉴别建立新方法。方法:采用色彩色差计对广陈皮外观颜色进行客观量化研究。采用非参数检验、秩相关检验法和判别分析等统计学方法对陈化年份与L*(明度值),a*(红绿分量值),b*(黄蓝分量值)之间的相关性进行分析。结果:不同年份广陈皮的色度值有显著性差异,且L*,a*,b*与陈化年份之间分别存在线性相关关系。建立了基于L*,a*,b*的广陈皮陈化年份的数学判别模型,陈化年份=-43.637L*+5.351a*+42.430b*+30.790。结论:建立的客观量化方法稳定可行,为广陈皮的陈化年份鉴别提供了一种客观量化方法,可避免因传统人为鉴别方法所带来的误差。 Objective: To establish an aging year identification model of Citri Reticulatae Pericarpium by principle of chromaticity analysis on its exterior color. Method: Color of Citri Reticulatae Pericarpium samples in different aging years were objectively converted to three values by color colorimeter. Statistic methods,including non-parametric test, rank correlation test and discriminant analysis, were applied to analyze the correlation between aging year and L*(brightness value),a*(red and green component value) and b*(yellow and blue component value). Result: There were significant differences among three chromaticity values in different aging years; L*,a*and b*values were linearly related to aging year. An aging year identification model of Citri Reticulatae Pericarpium was established. The formula was aging year =-43. 637 L*+ 5. 351 a*+ 42. 430 b*+30. 790. Conclusion: The new method provided by this paper for identification of aging year of Citri Reticulatae Pericarpium is objective and accurate. It can avoid the error caused by traditional empirical method in practical application.
作者 王光宁 何瑞瑜 陈天娇 贾真 李勇 廖华卫 WANG Guang-ning;HE Rui-yu;CHEN Tian-jiao;JIA Zhen;LI Yong;LIAO Hua-wei(School of Traditional Chinese Medicine,Institute of Materia Medica,Guangdong Pharmaceutical University,Guangzhou 510006,China)
出处 《中国实验方剂学杂志》 CAS CSCD 北大核心 2018年第22期22-27,共6页 Chinese Journal of Experimental Traditional Medical Formulae
关键词 色度分析原理 广陈皮 外观颜色 陈化年份 非参数检验 判别分析 鉴别模型 principle of chromaticity analysis Citri Reticulatae Pericarpium appearance color agingyear non-parametric test discriminant analysis identification model
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