Article(id=1239184759151186567, tenantId=1146029695717560320, journalId=1205117023404326918, issueId=1239184752507408921, articleNumber=null, orderNo=null, doi=10.16155/j.0254-1793.2024-0029, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1705248000000, receivedDateStr=2024-01-15, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773374269520, onlineDateStr=2026-03-13, pubDate=1735574400000, pubDateStr=2024-12-31, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773374269520, onlineIssueDateStr=2026-03-13, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773374269520, creator=13701087609, updateTime=1773374269520, updator=13701087609, issue=Issue{id=1239184752507408921, tenantId=1146029695717560320, journalId=1205117023404326918, year='2024', volume='44', issue='12', pageStart='2011', pageEnd='2188', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1773374267937, creator=13701087609, updateTime=1773374446543, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1239185501702377864, tenantId=1146029695717560320, journalId=1205117023404326918, issueId=1239184752507408921, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1239185501702377865, tenantId=1146029695717560320, journalId=1205117023404326918, issueId=1239184752507408921, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=2127, endPage=2137, ext={EN=ArticleExt(id=1239184760581444254, articleId=1239184759151186567, tenantId=1146029695717560320, journalId=1205117023404326918, language=EN, title=Study on quality control of Hanchuan Zupa granules by HPLC fingerprint multi-pattern recognition combined with multi-index component determination, columnId=1239148841803501731, journalTitle=Chinese Journal of Pharmaceutical Analysis, columnName=Quality Control, runingTitle=null, highlight=null, articleAbstract=
Objective:

To establish the HPLC fingerprint and multi-component quantitative analysis of Hanchuang Zupa granules, and evaluate the quality of multiple batches of Hanchuang Zupa granules by chemical pattern recognition technology.

Methods:

The sample pretreatment conditions and chromatographic analysis conditions of Hanchuang Zupa granules were optimized, and the optimal HPLC fingerprint and multi-component quantitative analysis method were established as follows: stationary phase was YMC-Pack ODS-A column (250 mm×4.6 mm, 5 μm, 12 nm) was adopted, and the mobile phase was acetonitrile-water (containing 0.1% phosphoric acid) with gradient elution, the detection wavelength was 220 nm, the column temperature was 30 ℃, the flow rate was 1.0 mL·min-1. Hierarchical cluster analysis (HCA), principal components analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were applied to evaluate the quality of 17 batches of Hanchuang Zupa granules.

Results:

Methodological investigation of HPLC fingerprint and content determination were well verified and met the analysis requirements. A total of 25 common peaks were obtained by full peak matching, and eight of them were identified by comparing with the retention time of mixed reference substances. The similarities of 17 batches of samples were above 0.90, which showed good consistency and stability between the samples. Seventeen samples could be classified into three clusters. Three principal components from 21 common peaks were extracted by PCA. Six quality differential compounds were presented in the fingerprints by OPLS-DA, including rutoside, gallic acid, ammonium glycyrrhizinate, chlorogenic acid and so on. The resolution and linear relationship of eight components in quantitative analysis were good. The average recovery rates were 98.0%-99.1% with RSD≤2.0%.

Conclusion:

In this study, the qualitative analysis of HPLC fingerprint and quantitative analysis of multiple index components is specific, simple and accurate, which can provide a reference for the quality control and quality evaluation of Hanchuang Zupa granules.

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目的:

建立寒喘祖帕颗粒HPLC指纹图谱及多指标成分定量分析方法,结合化学模式识别技术对其进行质量评价。

方法:

通过优化样品前处理及色谱检测条件,建立寒喘祖帕颗粒HPLC指纹图谱和含量测定条件。色谱柱为YMC-Pack ODS-A柱(250 mm×4.6 mm,5 μm,12 nm),以乙腈-0.1%磷酸水溶液为流动相,梯度洗脱,检测波长220 nm,柱温30 ℃,体积流量1.0 mL·min-1。采用聚类分析(HCA)、主成分分析(PCA)、正交偏最小二乘-判别分析(OPLS-DA)对17批寒喘祖帕颗粒进行质量评价。

结果:

寒喘祖帕颗粒HPLC指纹图谱及含量测定方法学考察结果均符合测定要求,获得25个共有峰,指认了8个色谱峰;17批样品的相似度均>0.90,样品间一致性及稳定性良好;由HCA可知,17批样品可大致聚成3类;PCA从25个共有峰中提取了3个主成分,通过OPLS-DA筛选了16号峰(芦丁)、3号峰(没食子酸)、15号峰、23号峰、24号峰(甘草酸)和7号峰(绿原酸)6个引起不同批次寒喘祖帕颗粒质量差异的主要标志性成分;8个定量成分线性关系均良好(r≥0.999 4),平均加样回收率98.0%~99.1%,RSD均<2.0%。

结论:

建立的寒喘祖帕颗粒HPLC指纹图谱结合多指标成分定量方法,专属性强、简便、准确,可为其整体质量控制和品质评价提供参考依据。

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*Tel:(0536)3086321;E-mail:
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Tel:(0536)3086430;E-mail:

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orderNo=2, keyword=高效液相色谱指纹图谱), Keyword(id=1239218776059727940, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=CN, orderNo=3, keyword=化学模式识别), Keyword(id=1239218776168779855, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=CN, orderNo=4, keyword=定量分析), Keyword(id=1239218776282026068, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=CN, orderNo=5, keyword=质量控制)], refs=[Reference(id=1239218780434387186, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, doi=null, pmid=null, pmcid=null, year=2021, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[1], rfOrder=0, authorNames=国家药典委员会, journalName=null, refType=null, unstructuredReference=国家药典委员会. 国家食品药品监督管理局国家药品标准. 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J Anhui Med Pharm201519(7):1272, articleTitle=Study on the determination of the main chemical components in roasted licorice by HPLC, refAbstract=null), Reference(id=1239218784150540687, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, doi=null, pmid=null, pmcid=null, year=2022, volume=24, issue=8, pageStart=1555, pageEnd=null, url=null, language=null, rfNumber=[17], rfOrder=32, authorNames=李柯翱, 米尔扎提·麦麦提, 张明惠, journalName=中国现代中药, refType=null, unstructuredReference=李柯翱,米尔扎提·麦麦提,张明惠,等. 基于统计学分析的寒喘祖帕颗粒HPLC指纹图谱研究[J]. 中国现代中药202224(8):1555, articleTitle=基于统计学分析的寒喘祖帕颗粒HPLC指纹图谱研究, refAbstract=null), Reference(id=1239218784247009683, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, doi=null, pmid=null, pmcid=null, year=2022, volume=24, issue=8, pageStart=1555, pageEnd=null, url=null, language=null, rfNumber=[17], rfOrder=33, authorNames=LI KA, Mi-Er-Zha-Ti· Mai-Mai-Ti, ZHANG MH, journalName=Mod Chin Med, refType=null, unstructuredReference=LI KAMi-Er-Zha-Ti· Mai-Mai-TiZHANG MH,et al. HPLC fingerprint of Hanchuan Zupa granules based on statistical analysis[J]. Mod Chin Med202224(8):1555, articleTitle=HPLC fingerprint of Hanchuan Zupa granules based on statistical analysis, refAbstract=null)], funds=null, companyList=[AuthorCompany(id=1239218771869619046, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, xref=1., ext=[AuthorCompanyExt(id=1239218771878007656, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, companyId=1239218771869619046, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.Food and Drug Technology Department of Shandong Vocational Animal Science and Veterinary College, Weifang 261061, China), AuthorCompanyExt(id=1239218771886396266, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, companyId=1239218771869619046, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.山东畜牧兽医职业学院食品与药品科技系,潍坊 261061)]), AuthorCompany(id=1239218771982865266, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, xref=2., ext=[AuthorCompanyExt(id=1239218771987059573, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, companyId=1239218771982865266, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.Pharmacy Department of Heze University, Heze 274000, China), AuthorCompanyExt(id=1239218771995448180, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, companyId=1239218771982865266, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.菏泽学院药学院,菏泽 274000)])], figs=[ArticleFig(id=1239218776554655847, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=EN, label=Fig.1, caption=HPLC fingerprints of 17 batches of Hanchuan Zupa granules and reference fingerprint, figureFileSmall=qSiks2gOUbyEYYQo8xVNsA==, figureFileBig=Jy9YJPVqecfzgV5ng4KJcA==, tableContent=null), ArticleFig(id=1239218776667902063, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=CN, label=图1, caption=17批寒喘祖帕颗粒的HPLC指纹图谱和对照指纹图谱, figureFileSmall=qSiks2gOUbyEYYQo8xVNsA==, figureFileBig=Jy9YJPVqecfzgV5ng4KJcA==, tableContent=null), ArticleFig(id=1239218776781148283, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=EN, label=Fig.2, caption=HPLC chromatograms of Hanchuan Zupa granules sample and single medicinal herb, figureFileSmall=cNTCgpctIP98fqkXaKQ7/g==, figureFileBig=OKxmGs5lYP8gjTz5o7Xifg==, tableContent=null), ArticleFig(id=1239218776886005891, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=CN, label=图2, caption=寒喘祖帕颗粒样品与处方中单味药材的HPLC图, figureFileSmall=cNTCgpctIP98fqkXaKQ7/g==, figureFileBig=OKxmGs5lYP8gjTz5o7Xifg==, tableContent=null), ArticleFig(id=1239218777057972361, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=EN, label=Fig.3, caption=Spectra of 8 components, figureFileSmall=zWhra+mH9BACXZqmHS947Q==, figureFileBig=2LOOgDnASxFsFBJFBTzW6A==, tableContent=null), ArticleFig(id=1239218777196384396, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=CN, label=图3, caption=8个成分的光谱图

A.样品(sample) B.对照品(reference substance)

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3.没食子酸(gallic acid) 7.绿原酸(chlorogenic acid) 4.鞣花酸(tannic acid) 16.芦丁(rutin) 17.甘草苷(liquiritin) 18.槲皮素(quercetin) 21.迷迭香酸(rosmarinic acid) 24.甘草酸(glycyrrhizic acid)

, figureFileSmall=jmxiP8ZDRnuOsWftzqMTOg==, figureFileBig=ERP3ZOQ0wU7sVAj2n+h3yQ==, tableContent=null), ArticleFig(id=1239218778572116175, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=EN, label=Tab.1, caption=

Linear relationship of 8 components

, figureFileSmall=null, figureFileBig=null, tableContent=
成分(component)回归方程(regression equation) r线性范围(linear range)/(μg·mL-1
没食子酸(gallic acid) Y=551.56X+236.840.999 521.16~190.4
绿原酸(chlorogenic acid) Y=1 256.27X+362.450.999 34.310~38.79
鞣花酸(tannic acid) Y=1 469.87X+714.560.999 43.206~28.86
芦丁(rutin) Y=657.84X+542.360.999 713.23~119.0
甘草苷(liquiritin) Y=1 245.57X+362.140.999 84.623~41.61
槲皮素(quercetin) Y=1 652.14X+634.150.999 62.392~21.53
迷迭香酸(rosmarinic acid) Y=1 547.12X+536.210.999 31.702~15.32
甘草酸(glycyrrhizic acid) Y=487.69X+714.250.999 416.02~144.2
), ArticleFig(id=1239218778706333909, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=CN, label=表1, caption=

8个成分线性关系

, figureFileSmall=null, figureFileBig=null, tableContent=
成分(component)回归方程(regression equation) r线性范围(linear range)/(μg·mL-1
没食子酸(gallic acid) Y=551.56X+236.840.999 521.16~190.4
绿原酸(chlorogenic acid) Y=1 256.27X+362.450.999 34.310~38.79
鞣花酸(tannic acid) Y=1 469.87X+714.560.999 43.206~28.86
芦丁(rutin) Y=657.84X+542.360.999 713.23~119.0
甘草苷(liquiritin) Y=1 245.57X+362.140.999 84.623~41.61
槲皮素(quercetin) Y=1 652.14X+634.150.999 62.392~21.53
迷迭香酸(rosmarinic acid) Y=1 547.12X+536.210.999 31.702~15.32
甘草酸(glycyrrhizic acid) Y=487.69X+714.250.999 416.02~144.2
), ArticleFig(id=1239218778827968735, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=EN, label=Tab.2, caption=

Recovery results of 8 components

, figureFileSmall=null, figureFileBig=null, tableContent=
成分
(component)
取样量
(sample content)/g
含量
(content)/mg
加入量
(added)/mg
测定量
(detected)/mg
回收率
(recovery)/%
平均回收率
(average recovery)/%
RSD/%
没食子酸
(gallic acid)
1.0215.4205.29010.6398.699.10.61
0.996 05.2885.29010.5799.8
1.0145.3835.29010.6499.4
1.0055.3365.29010.5398.3
1.0325.4795.29010.7299.2
1.0265.4475.29010.7299.6
绿原酸
(chlorogenic acid)
1.0210.879 11.0781.92498.198.51.3
0.996 00.857 61.0781.932100.6
1.0140.873 11.0781.89596.6
1.0050.865 31.0781.91298.4
1.0320.888 61.0781.95698.1
1.0260.883 41.0781.93599.2
鞣花酸
(chlorogenic acid)
1.0210.787 20.801 51.596100.998.41.6
0.996 00.767 90.801 51.56499.3
1.0140.781 80.801 51.55997.0
1.0050.774 90.801 51.56698.7
1.0320.795 70.801 51.57497.1
1.0260.791 00.801 51.56997.1
芦丁(rutin)1.0213.4673.3066.71798.398.01.3
0.9963.3823.3066.68599.9
1.0143.4443.3066.67197.6
1.0053.4133.3066.68498.9
1.0323.5053.3066.69596.5
1.0263.4843.3066.68896.9
甘草苷(liquiritin)1.0211.1581.1562.30198.998.01.4
0.996 01.1291.1562.285100.0
1.0141.1501.1562.26996.8
1.0051.1401.1562.25896.7
1.0321.1701.1562.29197.0
1.0261.1631.1562.30198.4
槲皮素(quercetin)1.0210.564 60.598 01.14597.198.82.0
0.996 00.550 80.598 01.152100.5
1.0140.560 70.598 01.13996.7
1.0050.555 80.598 01.162101.4
1.0320.570 70.598 01.15597.7
1.0260.567 40.598 01.16299.4
迷迭香酸
(rosmarinic acid)
1.0210.378 80.425 60.804 199.9981.9
0.996 00.369 50.425 60.798 5100.8
1.0140.376 20.425 60.788 596.9
1.0050.372 90.425 60.786 797.2
1.0320.382 90.425 60.792 496.2
1.0260.380 60.425 60.795 897.6
甘草酸
(glycyrrhizic acid)
1.0214.0094.0068.00199.698.11.1
0.996 03.9114.0067.85698.5
1.0143.9824.0067.95499.2
1.0053.9474.0067.84797.4
1.0324.0534.0067.96397.6
1.0264.0294.0067.91497.0
), ArticleFig(id=1239218779956236512, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=CN, label=表2, caption=

8个成分的加样回收率试验结果(n=6)

, figureFileSmall=null, figureFileBig=null, tableContent=
成分
(component)
取样量
(sample content)/g
含量
(content)/mg
加入量
(added)/mg
测定量
(detected)/mg
回收率
(recovery)/%
平均回收率
(average recovery)/%
RSD/%
没食子酸
(gallic acid)
1.0215.4205.29010.6398.699.10.61
0.996 05.2885.29010.5799.8
1.0145.3835.29010.6499.4
1.0055.3365.29010.5398.3
1.0325.4795.29010.7299.2
1.0265.4475.29010.7299.6
绿原酸
(chlorogenic acid)
1.0210.879 11.0781.92498.198.51.3
0.996 00.857 61.0781.932100.6
1.0140.873 11.0781.89596.6
1.0050.865 31.0781.91298.4
1.0320.888 61.0781.95698.1
1.0260.883 41.0781.93599.2
鞣花酸
(chlorogenic acid)
1.0210.787 20.801 51.596100.998.41.6
0.996 00.767 90.801 51.56499.3
1.0140.781 80.801 51.55997.0
1.0050.774 90.801 51.56698.7
1.0320.795 70.801 51.57497.1
1.0260.791 00.801 51.56997.1
芦丁(rutin)1.0213.4673.3066.71798.398.01.3
0.9963.3823.3066.68599.9
1.0143.4443.3066.67197.6
1.0053.4133.3066.68498.9
1.0323.5053.3066.69596.5
1.0263.4843.3066.68896.9
甘草苷(liquiritin)1.0211.1581.1562.30198.998.01.4
0.996 01.1291.1562.285100.0
1.0141.1501.1562.26996.8
1.0051.1401.1562.25896.7
1.0321.1701.1562.29197.0
1.0261.1631.1562.30198.4
槲皮素(quercetin)1.0210.564 60.598 01.14597.198.82.0
0.996 00.550 80.598 01.152100.5
1.0140.560 70.598 01.13996.7
1.0050.555 80.598 01.162101.4
1.0320.570 70.598 01.15597.7
1.0260.567 40.598 01.16299.4
迷迭香酸
(rosmarinic acid)
1.0210.378 80.425 60.804 199.9981.9
0.996 00.369 50.425 60.798 5100.8
1.0140.376 20.425 60.788 596.9
1.0050.372 90.425 60.786 797.2
1.0320.382 90.425 60.792 496.2
1.0260.380 60.425 60.795 897.6
甘草酸
(glycyrrhizic acid)
1.0214.0094.0068.00199.698.11.1
0.996 03.9114.0067.85698.5
1.0143.9824.0067.95499.2
1.0053.9474.0067.84797.4
1.0324.0534.0067.96397.6
1.0264.0294.0067.91497.0
), ArticleFig(id=1239218780086259940, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=EN, label=Tab.3, caption=

Results of content determination of 8 constituents

, figureFileSmall=null, figureFileBig=null, tableContent=
编号
(number)
含量(content)/(mg·g-1)
没食子酸
(gallic acid)
绿原酸
(chlorogenic acid)
鞣花酸
(chlorogenic acid)
芦丁
(rutin)
甘草苷
(liquiritin)
槲皮素
(quercetin)
迷迭香酸
(rosmarinic acid)
甘草酸
(glycyrrhizic acid)
S15.3090.8610.7713.3961.1340.5530.3713.927
S25.2950.9180.7753.3121.0250.5630.3864.215
S34.9650.8230.7803.1940.9620.5310.3393.618
S45.5780.8970.7862.4761.0350.5650.3093.661
S55.2630.9860.7692.5670.9960.4740.3893.530
S64.8250.9200.7763.1191.1130.5700.4314.476
S75.6731.4430.8771.4970.9960.5560.3483.045
S85.5361.4220.8841.4291.0140.5910.3352.995
S95.5361.4390.7611.4331.0510.5840.3242.859
S105.6731.4430.9311.4970.9960.6100.3483.045
S115.1231.0940.9581.4630.7990.6210.3633.175
S125.5071.1820.9311.5110.9530.7070.4203.366
S135.1721.3830.7751.4700.8500.6260.3733.167
S145.1721.0370.8771.4620.8420.6330.3843.177
S156.3241.7810.8843.4191.0250.7070.4313.903
S166.4961.8710.7611.7891.1930.7010.3723.707
S176.7921.7390.9312.0821.2830.7610.4153.796
), ArticleFig(id=1239218780212089064, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239184759151186567, language=CN, label=表3, caption=

8个成分含量的结果(n=3)

, figureFileSmall=null, figureFileBig=null, tableContent=
编号
(number)
含量(content)/(mg·g-1)
没食子酸
(gallic acid)
绿原酸
(chlorogenic acid)
鞣花酸
(chlorogenic acid)
芦丁
(rutin)
甘草苷
(liquiritin)
槲皮素
(quercetin)
迷迭香酸
(rosmarinic acid)
甘草酸
(glycyrrhizic acid)
S15.3090.8610.7713.3961.1340.5530.3713.927
S25.2950.9180.7753.3121.0250.5630.3864.215
S34.9650.8230.7803.1940.9620.5310.3393.618
S45.5780.8970.7862.4761.0350.5650.3093.661
S55.2630.9860.7692.5670.9960.4740.3893.530
S64.8250.9200.7763.1191.1130.5700.4314.476
S75.6731.4430.8771.4970.9960.5560.3483.045
S85.5361.4220.8841.4291.0140.5910.3352.995
S95.5361.4390.7611.4331.0510.5840.3242.859
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HPLC指纹图谱多模式识别结合多指标成分测定的寒喘祖帕颗粒质量控制研究
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魏培 1 , 曹春泉 2 , 钱淼 1 , 朱瑞娟 1 , 孙新堂 1, *
药物分析杂志 | 质量分析 2024,44(12): 2127-2137
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药物分析杂志 | 质量分析 2024, 44(12): 2127-2137
HPLC指纹图谱多模式识别结合多指标成分测定的寒喘祖帕颗粒质量控制研究
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魏培1 , 曹春泉2, 钱淼1, 朱瑞娟1, 孙新堂1, *
作者信息
  • 1.山东畜牧兽医职业学院食品与药品科技系,潍坊 261061
  • 2.菏泽学院药学院,菏泽 274000
  • Tel:(0536)3086430;E-mail:

通讯作者:

*Tel:(0536)3086321;E-mail:
Study on quality control of Hanchuan Zupa granules by HPLC fingerprint multi-pattern recognition combined with multi-index component determination
Pei WEI1 , Chun-quan CAO2, Miao QIAN1, Rui-juan ZHU1, Xin-tang SUN1, *
Affiliations
  • 1.Food and Drug Technology Department of Shandong Vocational Animal Science and Veterinary College, Weifang 261061, China
  • 2.Pharmacy Department of Heze University, Heze 274000, China
出版时间: 2024-12-31 doi: 10.16155/j.0254-1793.2024-0029
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目的:

建立寒喘祖帕颗粒HPLC指纹图谱及多指标成分定量分析方法,结合化学模式识别技术对其进行质量评价。

方法:

通过优化样品前处理及色谱检测条件,建立寒喘祖帕颗粒HPLC指纹图谱和含量测定条件。色谱柱为YMC-Pack ODS-A柱(250 mm×4.6 mm,5 μm,12 nm),以乙腈-0.1%磷酸水溶液为流动相,梯度洗脱,检测波长220 nm,柱温30 ℃,体积流量1.0 mL·min-1。采用聚类分析(HCA)、主成分分析(PCA)、正交偏最小二乘-判别分析(OPLS-DA)对17批寒喘祖帕颗粒进行质量评价。

结果:

寒喘祖帕颗粒HPLC指纹图谱及含量测定方法学考察结果均符合测定要求,获得25个共有峰,指认了8个色谱峰;17批样品的相似度均>0.90,样品间一致性及稳定性良好;由HCA可知,17批样品可大致聚成3类;PCA从25个共有峰中提取了3个主成分,通过OPLS-DA筛选了16号峰(芦丁)、3号峰(没食子酸)、15号峰、23号峰、24号峰(甘草酸)和7号峰(绿原酸)6个引起不同批次寒喘祖帕颗粒质量差异的主要标志性成分;8个定量成分线性关系均良好(r≥0.999 4),平均加样回收率98.0%~99.1%,RSD均<2.0%。

结论:

建立的寒喘祖帕颗粒HPLC指纹图谱结合多指标成分定量方法,专属性强、简便、准确,可为其整体质量控制和品质评价提供参考依据。

寒喘祖帕颗粒  /  高效液相色谱指纹图谱  /  化学模式识别  /  定量分析  /  质量控制
Objective:

To establish the HPLC fingerprint and multi-component quantitative analysis of Hanchuang Zupa granules, and evaluate the quality of multiple batches of Hanchuang Zupa granules by chemical pattern recognition technology.

Methods:

The sample pretreatment conditions and chromatographic analysis conditions of Hanchuang Zupa granules were optimized, and the optimal HPLC fingerprint and multi-component quantitative analysis method were established as follows: stationary phase was YMC-Pack ODS-A column (250 mm×4.6 mm, 5 μm, 12 nm) was adopted, and the mobile phase was acetonitrile-water (containing 0.1% phosphoric acid) with gradient elution, the detection wavelength was 220 nm, the column temperature was 30 ℃, the flow rate was 1.0 mL·min-1. Hierarchical cluster analysis (HCA), principal components analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were applied to evaluate the quality of 17 batches of Hanchuang Zupa granules.

Results:

Methodological investigation of HPLC fingerprint and content determination were well verified and met the analysis requirements. A total of 25 common peaks were obtained by full peak matching, and eight of them were identified by comparing with the retention time of mixed reference substances. The similarities of 17 batches of samples were above 0.90, which showed good consistency and stability between the samples. Seventeen samples could be classified into three clusters. Three principal components from 21 common peaks were extracted by PCA. Six quality differential compounds were presented in the fingerprints by OPLS-DA, including rutoside, gallic acid, ammonium glycyrrhizinate, chlorogenic acid and so on. The resolution and linear relationship of eight components in quantitative analysis were good. The average recovery rates were 98.0%-99.1% with RSD≤2.0%.

Conclusion:

In this study, the qualitative analysis of HPLC fingerprint and quantitative analysis of multiple index components is specific, simple and accurate, which can provide a reference for the quality control and quality evaluation of Hanchuang Zupa granules.

Hanchuang Zupa granules  /  high-performance liquid chromatography fingerprints  /  chemical pattern recognition  /  quantitative analysis  /  quality control
魏培, 曹春泉, 钱淼, 朱瑞娟, 孙新堂. HPLC指纹图谱多模式识别结合多指标成分测定的寒喘祖帕颗粒质量控制研究. 药物分析杂志, 2024 , 44 (12) : 2127 -2137 . DOI: 10.16155/j.0254-1793.2024-0029
Pei WEI, Chun-quan CAO, Miao QIAN, Rui-juan ZHU, Xin-tang SUN. Study on quality control of Hanchuan Zupa granules by HPLC fingerprint multi-pattern recognition combined with multi-index component determination[J]. Chinese Journal of Pharmaceutical Analysis, 2024 , 44 (12) : 2127 -2137 . DOI: 10.16155/j.0254-1793.2024-0029
寒喘祖帕颗粒由神香草、铁线蕨、甘草浸膏、小茴香、芹菜子、胡芦巴、云香草、玫瑰花、荨麻子9味中药经水煎煮制备而成,具有镇咳、化痰、温肺止喘的作用[1],现行国家药品标准为WS3-BW-0195-98-2021,仅选择甘草酸单一成分进行含量测定,不足以评价寒喘祖帕颗粒的整体质量情况,有必要探索其整体质量控制模式。近年来,具有整体性强、专属性高的中药指纹图谱与聚类分析(hierarchical cluster analysis,HCA)、主成分分析(principal component Analysis,PCA)、正交偏最小二乘-判别分析(orthogonal partial least squares-discriminant analysis,OPLS-DA)等化学计量学方法联合使用是中药及中成药制剂的整体质量研究的趋势[2-4]。为全面控制寒喘祖帕颗粒的质量,本研究选取市售3个厂家17批寒喘祖帕颗粒,建立其高效液相色谱(HPLC)法指纹图谱,进而借助化学计量学方法对不同厂家的寒喘祖帕颗粒进行质量评价,根据OPLS-DA筛选差异性成分,评价不同厂家不同批次寒喘祖帕颗粒的质量一致性,从而实现对药物质量的综合评价。
e2695型HPLC仪(Waters公司)、XS205DU型电子天平(Mettler Toledo司,0.01 mg)、TM-D 24UV型超纯水系统(默克密理博实验室设备有限公司)。
乙腈(HPLC色谱级)、甲醇(HPLC色谱级)均为色谱纯,来自Fisher Chemical公司;水为实验室超纯水系统制备所得。对照品没食子酸(批号110831-201906,纯度91.5%)、绿原酸(批号110753-202119,纯度96.3%)、鞣花酸(批号111959-201903,纯度88.8%)、芦丁(批号100080-202012,纯度92.2%)、甘草苷(批号111610-202209,纯度95.2%)、槲皮素(批号100081-201610,纯度99.8%)、迷迭香酸(批号111871-202007,纯度98.1%)、甘草酸铵(批号110731-202122,纯度94.4%),均购自中国食品药品检定研究院,对照品纯度均在计算过程中进行校正。共收集寒喘祖帕颗粒共17批(S1~S17),分别购自厂家A(批号2201108、2201124、2201122、230165、2302150、2303161)、厂家B(批号210407、220112、220119、210815、210220、201046、211015、220114)和厂家C(批号211040、230422、230614)。各单味药(神香草、铁线蕨、芹菜子、玫瑰花药材粉末和甘草)均为市购,经潍坊市人民医院桑林涛主任药师鉴定,神香草为唇形科(Labiatae)神香草属(Hyssopus L.)硬尖神香草,铁线蕨为铁线蕨科铁线蕨属植物Adiantum capillusveneris L.的新鲜或干燥全草,芹菜子为系伞形科旱芹属植物芹菜(Apium graveolens L.)的干燥成熟种子,玫瑰花应为蔷薇科植物玫瑰Rosa rugosa Thunb.的干燥花蕾,甘草为豆科植物甘草Glycyrrhiza uralensis Fisch.的干燥根和根茎。甘草浸膏参考2020年版《中华人民共和国药典》方法制备而成。
YMC-Pack ODS-A(250 mm×4.6 mm. D.S-5 μm,12 nm)柱,流动相为乙腈(A)-0.1%磷酸水溶液(B),梯度洗脱(0~8 min,8%A;8~12 min,8%A→17%A;12~35 min,17%A→22%A;35~40 min,22%A→40%A;40~60 min,40%A→60%A),流速1.0 mL·min-1,检测波长220 nm,柱温30 ℃,进样量10 μL。
精密称取对照品没食子酸、绿原酸、鞣花酸、芦丁、甘草苷、槲皮素、迷迭香酸、甘草酸各适量,加甲醇超声(250 W,40 kHz)处理,使溶解,配制成每1 mL含没食子酸1 058 μg、绿原酸215.5 μg、鞣花酸160.3 μg、芦丁661.3 μg、甘草苷231.2 μg、槲皮素119.6 μg、迷迭香酸85.12 μg、甘草酸801.2 μg的混合对照品储备液。精密量取混合对照品储备液5 mL,置50 mL棕色量瓶中,用甲醇稀释至刻度,即得。
取寒喘祖帕颗粒5袋,研成细粉后混合均匀,精密称取2.0 g,置于圆底烧瓶中,精密加入50%甲醇水溶液100 mL,密塞,称量后加热回流40 min,放冷后,用50%甲醇水溶液补足减失的量,过滤取续滤液,即得。
按寒喘祖帕颗粒处方比例,分别取神香草、铁线蕨、芹菜子、玫瑰花药材粉末和甘草浸膏,精密称量,按“2.2.2”项下方法制备得各单味药材溶液。
按寒喘祖帕颗粒的处方比例制备缺神香草、铁线蕨、芹菜子、玫瑰花药材粉末和甘草浸膏的阴性样品,并按照“2.2.2”项下方法处理,即得。
按“2.2.2”项下方法制备寒喘祖帕颗粒供试品溶液(S1),按“2.1”项下色谱条件连续6次进样测定,记录色谱图,25个共有峰的保留时间和峰面积的RSD分别为0.87%~2.0%和1.5%~2.3%,均<3.0%,表明仪器精密度良好。
取同一批寒喘祖帕颗粒(S1),按“2.2.2”项下方法,平行制备6份供试品溶液,按“2.1”项色谱条件进样测定,记录色谱图,25个共有峰的保留时间和峰面积的RSD分别为0.95%~2.0%和1.4%~2.4%,均<3.0%,结果表明样品处理方法具有良好的重复性。
取寒喘祖帕颗粒(S1)的供试品溶液,按“2.1”项下色谱条件,在0、3、8、15、20、28、36 h分别进样测定,记录色谱图,25个共有峰的保留时间和峰面积的RSD分别为1.4%~2.5%和1.5%~2.3%,均<3.0%,表明供试品溶液在室温下36 h内相对稳定。
利用《中药色谱指纹图谱相似度软件评价系统(2012版)》对17批寒喘祖帕颗粒的HPLC图谱进行分析,得到寒喘祖帕颗粒HPLC指纹图谱,见图1。最终选择分离度较好,峰面积响应值适中的25个色谱峰作为寒喘祖帕颗粒的指纹图谱共有峰。以样品S1为参照图谱生成对照指纹图谱,对17批样品相似度进行相似度评价。17批样品的相似度分别为0.952、0.944、0.963、0.924、0.937、0.936、0.922、0.934、0.919、0.931、0.926、0.937、0.911、0.929、0.905、0.910、0.916,相似度均>0.90,表明3个厂家不同批次的寒喘祖帕颗粒一致性及稳定性良好。
取“2.2.3”项下各单味药材溶液,按“2.1”项下色谱条件进行测定。通过比较对照药材色谱图和对照指纹色谱图对共有峰进行归属,结果显示2、7、16、19、21号峰来源于神香草,1、4、5、10、23号峰来源于铁线蕨,6、15、17、24号峰来源于甘草浸膏,3、8、14、18、20、25号峰来源于玫瑰花,11、13、18号峰来源于芹菜子,色谱图见图2。通过与混合对照品溶液色谱图保留时间比对,初步指认了8个共有峰,根据保留时间先后顺序依次为峰3(没食子酸)、峰7(绿原酸)、峰14(鞣花酸)、峰16(芦丁)、峰17(甘草苷)、峰18(槲皮素)、峰21(迷迭香酸)、峰24(甘草酸)。进一步比较光谱图,结果供试品溶液中8个共有峰的光谱图与相应对照品光谱图均一致,见图3。光鞣花酸保留时间和峰面积均适中,故选择其作为参照峰。
将17批寒喘祖帕颗粒25个共有峰的相对峰面积导入SPSS 22.0软件,采用Ward的方法,以平方Euclidean距离为测度,进行HCA。结果平方Euclidean距离为15时可大致将17批样品分成3大类:S8、S9、S7、S10、S11、S14、S13、S12为Ⅰ类,S4、S5、S1、S2、S3、S6为Ⅱ类,S16、S17、S16为Ⅲ类,结果见图4。HCA结果表明,相同厂家的寒喘祖帕颗粒聚为一大类,不同厂家原材料的使用、提取工艺、炮制加工等多方面环节的不同,导致寒喘祖帕颗粒厂家之间的差异性。
以14号峰(鞣花酸)为参照峰,将17批寒喘祖帕颗粒的25个共有峰的相对峰面积导入SIMCA 14.1软件进行PCA,前3个主成分的特征值分别为9.16、3.94和1.30,方差贡献率分别为53.9%、23.2%和7.62%,累积贡献率达84.7%,可反映寒喘祖帕颗粒指纹图谱共有峰的基本信息[4-5]。由图5可知,PCA结果与上述HCA结果基本一致,17批样品大致分为3大类,同一生产厂家被聚为一类,相同厂家产品质量有较好的一致性。
HCA和PCA将17批样品大致可分为3类,为进一步寻找组间的差异性原因,建立OPLS-DA分析模型。结果模型解释率(RX2)达到0.885,预测力(Q2)达到0.658,均>0.5,表示建立的OPLS-DA模型拟合结果可接受。对OPLS-DA模型进行置换检验(200次),得置换检验图(图6)。在图6中,R2Y轴的截距为0.267,Q2Y轴的截距为-0.764,斜率均>0,表明建立的OPLS-DA模型无过度拟合的现象,能够用于17批样品组间差异的判别分析。OPLS-DA模型生成的变量重要性投影值(VIP)是筛选差异性化合物的重要指标,通常以VIP>1作为筛选标准,VIP越高,对组间差异的影响越大[6-7]。本实验以VIP>1为标准,结果共找到了6个成分,根据VIP由大到小排序依次为16号峰(芦丁)、3号峰(没食子酸)、15号峰、23号峰、24号峰(甘草酸)、7号峰(绿原酸),见图7。提示上述6个成分是引起不同批次寒喘祖帕颗粒质量差异的主要标志性成分。该结果表明生产企业在对寒喘祖帕颗粒质量控制过程中可重点关注以上6个成分对应原药材的质量,科学合理地对该产品进行质量监测。
按“2.1”项色谱条件,分别精密吸取“2.2”项混合对照品溶液、供试品溶液和各阴性供试品溶液各10 μL进样,结果各待测成分与前后峰分离度均>1.5,对称因子在0.97~1.26,理论塔板数以没食子酸、绿原酸、鞣花酸、芦丁、甘草苷、槲皮素、迷迭香酸、甘草酸峰计,均>7 500。色谱图见图8
分别精密吸取“2.2.1”项混合对照品储备液1.0、2.0、3.0、5.0、7.0、9.0 mL,置于同一50 mL量瓶中,加甲醇稀释至刻度,摇匀,得系列混合对照品溶液。精密吸取上述系列混合对照品溶液,按“2.1”项色谱条件进样分析,记录色谱图。以对照品浓度(X,μg·mL-1)为横坐标,峰面积Y为纵坐标进行线性回归,绘制各组分标准曲线,计算回归方程和相关系数。结果表明,在试验范围内呈良好的线性关系,结果见表1
精密吸取“2.2.1”项混合对照品溶液10 μL,按“2.1”项色谱条件,连续进样6次测定,记录峰面积。结果没食子酸、绿原酸、鞣花酸、芦丁、甘草苷、槲皮素、迷迭香酸、甘草酸峰面积(n=6)的RSD分别0.98%、1.2%、0.69%、1.3%、0.67%、1.4%、1.6%、1.4%,表明仪器精密度良好。
取寒喘祖帕颗粒(S1),按“2.2.2”项下方法制备供试品溶液,分别于制备后0、3、8、15、20、28、36 h,按“2.1”项色谱条件进样,记录峰面积。结果没食子酸、绿原酸、鞣花酸、芦丁、甘草苷、槲皮素、迷迭香酸、甘草酸峰面积(n=6)的RSD分别为0.85%、1.7%、0.74%、1.1%、0.95%、1.9%、0.66%、1.7%,表明供试品溶液36 h内稳定性良好。
取寒喘祖帕颗粒(S1),按“2.2.2”项方法,平行制备6份供试品溶液,按“2.1”项色谱条件进样分析,记录色谱图,代入“2.5.2”项下回归方程计算寒喘祖帕颗粒中上述8个成分的含量及其RSD。结果没食子酸、绿原酸、鞣花酸、芦丁、甘草苷、槲皮素、迷迭香酸、甘草酸含量(n=6)的平均值分别为5.309、0.860、0.773、3.394、1.137、0.556、0.371、3.930 mg·g-1,RSD分别1.2%、1.7%、0.87%、1.8%、0.98%、1.7%、1.3%、1.7%,表明方法重复性良好。
取寒喘祖帕颗粒(S1)研成细粉,精密称取6份各1.0 g,分别置6个具塞锥形瓶中,各加入“2.2.1”项混合对照品储备液5.0 mL,按“2.2.2”项方法制备供试溶液,再按“2.1”项色谱条件进样测定,记录色谱图,计算各成分加样回收率及其RSD,结果见表2
取寒喘祖帕颗粒17批,按照“2.2.2”项方法,平行制备供试品溶液3份,按“2.1”项色谱条件进样测定,记录没食子酸、绿原酸、鞣花酸、芦丁、甘草苷、槲皮素、迷迭香酸、甘草酸的峰面积,计算寒喘祖帕颗粒中上述8个成分的含量。结果见表3
本研究通过OPLS-DA找到了影响寒喘祖帕颗粒质量的6个差异性较大的化合物,提示这些成分对样品分组有显著影响,并指认了其中4个,分别为芦丁、没食子酸、甘草酸和绿原酸,初步将上述4个成分作为定量候选化合物。另外,方中维吾尔药神香草Hyssopus officinalis L.具有祛痰、止咳、平喘、抗炎、镇痛等药理作用[8-9],其有效成分为黄酮类成分芦丁和酚酸类成分迷迭香酸[10-11];铁线蕨具有清热解毒、利湿消肿、利尿通淋的功效,具有良好的抗菌、抗癌、抗氧化等药理作用[12],其主要活性成分为绿原酸;玫瑰花为蔷薇科植物玫瑰Rosa rugosa Thunb.的干燥花蕾,没食子酸、鞣花酸和槲皮素[13]为其特征指标成分;甘草浸膏中甘草酸和甘草苷分别为甘草中三萜皂苷类活性成分和黄酮类活性成分[14],具有止咳平喘、清热解毒之功效[15-16]。故最终选择没食子酸、绿原酸、鞣花酸、芦丁、甘草苷、槲皮素、迷迭香酸、甘草酸8个成分作为该制剂含量测定的指标成分。
以没食子酸、绿原酸、鞣花酸、芦丁、甘草苷、槲皮素、迷迭香酸和甘草酸8个组分的质量分数(提取率)为考察指标,优化样品提取方式。试验分别考察加热回流提取、超声提取和浸泡过夜3种提取方式,对样品提取率的影响,结果浸泡过夜中8个组分的提取率均较低;超声提取没食子酸、绿原酸、甘草苷和甘草酸的提取率较浸泡过夜高,但是较加热回流低,加热回流提取鞣花酸、芦丁、槲皮素和迷迭香酸4个组分提取率最高,故最终选择加热回流提取样品。进一步考察提取时间和甲醇体积分数对提取率的影响,最终确定最佳提取条件为称取样品均匀粉末2.0 g,精密加入50%甲醇水溶液50 mL,加热回流40 min。分别考察比较甲醇-水、甲醇-0.1%甲酸和甲醇-0.1%磷酸,乙腈-水、乙腈-0.1%甲酸和乙腈-0.1%磷酸流动相系统的色谱图,结果乙腈-0.1%磷酸系统色谱峰信号丰富且分离度均满足要求,最终作为寒喘祖帕颗粒指纹图谱的流动相洗脱系统。采用DAD检测器在200~400 nm波长处扫描,结果显示在220 nm波长处,色谱峰数目较多,且各峰峰面积响应值适中,所测定8个指标成分峰形和分离度均能满足要求。
本次实验收集市场流通环节的3个生产企业的17批样品进行了测定,收集的样品具有一定的代表性。指纹图谱相似度评价结果显示,不同厂家寒喘祖帕颗粒17批样品指纹图谱相似度在0.90以上,表明不同厂家的寒喘祖帕颗粒质量整体一致性及稳定性较好;进一步借助HCA、PCA和OPLS-DA等化学模式识别技术对17批样品进行综合分析,结果不同厂家寒喘祖帕颗粒各自聚为一类,且筛选了16号峰(芦丁)、3号峰(没食子酸)、15号峰、23号峰、24号峰(甘草酸)和7号峰(绿原酸)6个质量差异标志性成分,指认芦丁、没食子酸、甘草酸和绿原酸4个成分。李柯翱等[17]研究表明甘草酸、没食子酸、甘草苷对寒喘祖帕颗粒的质量控制起着关键作用,与其结果基本一致。实验进一步对6个质量差异标志性成分进行了归属,确定16号峰和7号峰归属于神香草,3号峰归属于玫瑰花、15号峰和24号峰归属于甘草浸膏,23号峰归属于铁线蕨,为厂家在药材源头控制此制剂的质量提供了参考依据。
本实验采用同一色谱条件建立寒喘祖帕颗粒指纹图谱定性和多成分定量同时分析,建立的方法专属性强,准确度高,可用于评价不同厂家不同批次寒喘祖帕颗粒的质量差异,并监测重点成分的变化,从而为整体评价该制剂质量提供科学依据,为其质量标准制定的规范化提供重要借鉴。
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2024年第44卷第12期
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doi: 10.16155/j.0254-1793.2024-0029
  • 接收时间:2024-01-15
  • 首发时间:2026-03-13
  • 出版时间:2024-12-31
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  • 收稿日期:2024-01-15
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    1.山东畜牧兽医职业学院食品与药品科技系,潍坊 261061
    2.菏泽学院药学院,菏泽 274000

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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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