基于灰色关联度模型的引种郁金质量评价
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摘要
目的:建立郁金的灰色关联度模型,评价中山引种郁金样品的质量。方法:鉴于郁金类药材中挥发油和姜黄素为质量标志物(Q-marker),选择醇溶性浸出物、吉马酮、莪术二酮、姜黄素为综合评价指标,测定3个不同品种3个不同产地的72株中山引种郁金样品中的4种主要成分含量,采用灰色关联度法构建中山引种郁金质量的灰色关联度评价模型。结果:72株中山引种郁金样品的相对关联度(γ_i)在0. 262～0. 697,其中10个样品γ_i> 0. 450,37个样品γ_i<0. 300,表明不同产地不同品种的郁金引种后质量存在显著差异。浙江瑞安市马屿镇产的MY-W-4,MY-W-1的γ_i分别为0. 697,0. 525,质量最优。不同产地不同品种的γ_i的平均值在0. 281～0. 420,浙江马屿镇的温郁金样品的γ_i的平均值最大,质量总体水平最高,可作为郁金优质种源引种。结论:基于多指标成分构建的灰色关联度模型评价引种郁金质量,方法简单客观全面,可用于引种郁金质量评价,为优质种源的筛选提供了参考依据。
Objective: To establish the gray relational analysis for quality evaluation of the samples of Curcumae Radix introduced in Zhongshan. Method: With volatile oil and curcumin as Q-markers,and alcohol extract,germacrone,germacr-1(10)-ene-5,8-dione and curcumin as comprehensive evaluation index,the contents of the four main components in 72 samples of Curcumae Radix of 3 different varieties introduced in Zhongshan from 3 different regions were determined. The grey relational method was used to build the gray correlation evaluation model for Curcumae Radix introduced in Zhongshan. Result: The relative correlation degree(γ_i) of 72 samples was between 0. 262 and 0. 697,in which γ_i was above 0. 450 for 10 samples,and below0. 300 for 37 samples,indicating great differences in the quality of Curcumae Radix after introduction. The γ_iwas0. 697 and 0. 525 respectively for No. MY-W-4 and No. MY-W-1 from Curcumae Radix in Mayu with the best quality. The average values of γ_ifor the samples of 3 different varieties from 3 different regions were between 0. 281 and 0. 420,and Mayu samples had the maximum average value,indicating that Mayu samples had the highest overall quality of,and could be introduced as excellent resources. Conclusion: The evaluation method combined with GRA method and multi-index quantification was simple,objective and comprehensive,and could be used to evaluate the quality of Curcumae Radix introduced in Zhongshan,so as to provide references for screening highquality provenance.
Objective: To establish the gray relational analysis for quality evaluation of the samples of Curcumae Radix introduced in Zhongshan. Method: With volatile oil and curcumin as Q-markers,and alcohol extract,germacrone,germacr-1(10)-ene-5,8-dione and curcumin as comprehensive evaluation index,the contents of the four main components in 72 samples of Curcumae Radix of 3 different varieties introduced in Zhongshan from 3 different regions were determined. The grey relational method was used to build the gray correlation evaluation model for Curcumae Radix introduced in Zhongshan. Result: The relative correlation degree(γ_i) of 72 samples was between 0. 262 and 0. 697,in which γ_i was above 0. 450 for 10 samples,and below0. 300 for 37 samples,indicating great differences in the quality of Curcumae Radix after introduction. The γ_iwas0. 697 and 0. 525 respectively for No. MY-W-4 and No. MY-W-1 from Curcumae Radix in Mayu with the best quality. The average values of γ_ifor the samples of 3 different varieties from 3 different regions were between 0. 281 and 0. 420,and Mayu samples had the maximum average value,indicating that Mayu samples had the highest overall quality of,and could be introduced as excellent resources. Conclusion: The evaluation method combined with GRA method and multi-index quantification was simple,objective and comprehensive,and could be used to evaluate the quality of Curcumae Radix introduced in Zhongshan,so as to provide references for screening highquality provenance.
引文
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[12]郝敏,陆兔林,毛春芹,等.3种温郁金根茎炮制品的UPLC指纹图谱与多成分含量测定研究[J].中国中药杂志,2018,43(11):2288-2294.
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[14]魏航,林励,张元,等.灰色系统理论在中药色谱指纹图谱模式识别中的应用研究[J].色谱,2013,31(2):127-132.
[15]李望晨,王培承,王在翔,等.五种三参数区间数决策模型及卫生综合评价应用比较研究[J].中国卫生统计,2018,35(6):898-902.
[16]吾木提·艾山江,买买提·沙吾提,尼加提·卡斯木,等.基于灰色关联法的春小麦叶片含水量高光谱估测模型研究[J].光谱学与光谱分析,2018,36(11):172-178.
[17]任永泰,许东阳,成琨.基于DPSIR视角下的水土资源生态安全探析[J].环境工程,2018,36(11):129-132.
[18]汤传尧,樊文欣,郭芳,等.采用灰色关联法优化强力旋压连杆衬套旋轮参数的研究[J].热加工工艺,2018,47(3):129-132.
[19]李硕,王文全,侯俊玲,等.基于灰色关联度法评价商品防风药材质量[J].北京中医药大学学报,2015,38(4):247-252.
[20]吕伟奇,张霁,左智天,等.基于灰色关联度分析法的滇龙胆质量评价[J].中国实验方剂学杂志,2017,23(12):66-73.
[21]李成义,刘书斌,李硕,等.甘肃商品白条党参质量的灰色关联度评价[J].中国实验方剂学杂志,2015,21(21):33-39.
[22]徐珍珍,史星星,樊旭蕾,等.基于灰色关联度法和FCM算法的木香质量评价研究[J].中草药,2018,49(24):5916-5922.
[23]刘威,王振中,胡军华,等.不同产地牡丹皮中微量元素与多指标成分灰色关联度评价及相关性分析[J].中国实验方剂学杂志,2017,23(1):34-41.
[24]李成义,强正泽,王岩,等.基于灰色关联度法分析法评价甘肃产红芪质量[J].中国实验方剂学杂志,2016,22(12):60-65.
[25]周苏娟,麦小梅,赵斌,等.TOPSIS与灰色关联分析在不同产地炒茺蔚子质量评价中的应用[J].中国实验方剂学杂志,2015,21(15):41-43.
[2]肖长坤.姜黄属植物的化学成分研究进展[J].中国实验方剂学杂志,2012,18(21):339-347.
[3]Phrommintikul A,Chattipakon N.Roles of cardiacryanodine receptor in heart failure and sudden cardiacdeath[J].In J Cardiol,2006,112(2):142-152.
[4]刘睿,高丹丹,崔涛,等.郁金及其近缘药材的研究进展及质量标志物(Q-maker)的预测分析[J].中草药,2019,50(2):273-280.
[5]Priyanka A,Anusree S S,Nisha V M,et al.Curcumin improve hypoxia induced dysfunctions in 3T3-L1adipocytes by protectingmitochondria and down regulating inflammation[J].Biofactors,2014,40(5):513-523.
[6]李宝辉,李冬晖,倪永年.化学统计学在不同年份和不同产地郁金鉴别中的应用[J].分析科学学报,2019,35(1):105-109.
[7]翁金月,张春椿,林君,等.HPLC分析比较不同产地郁金姜黄素的化学组分[J].中华中医药学刊,2015,33(6):1393-1395.
[8]翁金月,张春椿,陈茜茜,等.GC-MS分析比较不同产地温郁金挥发油的化学组分[J].中华中医药学刊,2015,33(4):981-985.
[9]蔡定多,苏孝共,郑冰珊,等.温郁金主根茎与侧根茎姜黄素及挥发油含量测定[J].中药材,2015,38(7):1447-1448.
[10]李敏,张娜,林琪宇.HPLC测定郁金类药材中的吉马酮和莪术二酮[J].华西药学杂志,2008,23(1):105-106.
[11]李敏,张娜,林琪宇,等.黄丝郁金的质量标准研究[J].成都中医药大学学报,2008,31(1):55-59.
[12]郝敏,陆兔林,毛春芹,等.3种温郁金根茎炮制品的UPLC指纹图谱与多成分含量测定研究[J].中国中药杂志,2018,43(11):2288-2294.
[13]邓聚龙.灰理论基础[M].武汉:华中科技大学出版社,2002:122.
[14]魏航,林励,张元,等.灰色系统理论在中药色谱指纹图谱模式识别中的应用研究[J].色谱,2013,31(2):127-132.
[15]李望晨,王培承,王在翔,等.五种三参数区间数决策模型及卫生综合评价应用比较研究[J].中国卫生统计,2018,35(6):898-902.
[16]吾木提·艾山江,买买提·沙吾提,尼加提·卡斯木,等.基于灰色关联法的春小麦叶片含水量高光谱估测模型研究[J].光谱学与光谱分析,2018,36(11):172-178.
[17]任永泰,许东阳,成琨.基于DPSIR视角下的水土资源生态安全探析[J].环境工程,2018,36(11):129-132.
[18]汤传尧,樊文欣,郭芳,等.采用灰色关联法优化强力旋压连杆衬套旋轮参数的研究[J].热加工工艺,2018,47(3):129-132.
[19]李硕,王文全,侯俊玲,等.基于灰色关联度法评价商品防风药材质量[J].北京中医药大学学报,2015,38(4):247-252.
[20]吕伟奇,张霁,左智天,等.基于灰色关联度分析法的滇龙胆质量评价[J].中国实验方剂学杂志,2017,23(12):66-73.
[21]李成义,刘书斌,李硕,等.甘肃商品白条党参质量的灰色关联度评价[J].中国实验方剂学杂志,2015,21(21):33-39.
[22]徐珍珍,史星星,樊旭蕾,等.基于灰色关联度法和FCM算法的木香质量评价研究[J].中草药,2018,49(24):5916-5922.
[23]刘威,王振中,胡军华,等.不同产地牡丹皮中微量元素与多指标成分灰色关联度评价及相关性分析[J].中国实验方剂学杂志,2017,23(1):34-41.
[24]李成义,强正泽,王岩,等.基于灰色关联度法分析法评价甘肃产红芪质量[J].中国实验方剂学杂志,2016,22(12):60-65.
[25]周苏娟,麦小梅,赵斌,等.TOPSIS与灰色关联分析在不同产地炒茺蔚子质量评价中的应用[J].中国实验方剂学杂志,2015,21(15):41-43.