Article(id=1208402655714587098, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1208402647258870040, articleNumber=null, orderNo=null, doi=10.16438/j.0513-4870.2021-0045, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1610035200000, receivedDateStr=2021-01-08, revisedDate=1614009600000, revisedDateStr=2021-02-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1766035244158, onlineDateStr=2025-12-18, pubDate=1618156800000, pubDateStr=2021-04-12, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1766035244158, onlineIssueDateStr=2025-12-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1766035244158, creator=13701087609, updateTime=1766035244158, updator=13701087609, issue=Issue{id=1208402647258870040, tenantId=1146029695717560320, journalId=1189982191388893191, year='2021', volume='56', issue='4', pageStart='895', pageEnd='1200', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1766035242142, creator=13701087609, updateTime=1766137207216, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1208830319826964817, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1208402647258870040, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1208830319826964818, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1208402647258870040, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1120, endPage=1126, ext={EN=ArticleExt(id=1208402656134017516, articleId=1208402655714587098, tenantId=1146029695717560320, journalId=1189982191388893191, language=EN, title=Analysis of triterpenoic acids in different medicinal parts of Poria cocos (Schw.) Wolf using supercritical fluid chromatography, columnId=1190335348761793317, journalTitle=Acta Pharmaceutica Sinica, columnName=Original Articles, runingTitle=null, highlight=null, articleAbstract=

Qualitative and quantitative methods were used to establish the quality of different medicinal parts of Poria cocos (Poriae Cutis, rubra Poria, white Poria, Poria cum Radix Pini) by using ultra-performance convergence chromatography coupled with photo-diode array and quadrupole time-of-flight mass spectrometry (UPC2-PDA-Q-TOF/MSE). A total of 18 chromatographic peaks were detected from Poria cocos by UPC2-PDA. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to compare the four medicinal parts. The results showed that there were significant differences in the components of different medicinal parts, and the main triterpenoic acids were poricoic acid A, poricoic acid B, dehydroeburicoic acid, and dehydrotrametenolic acid. When combined with the common active component polyporenic acid C, a method for determination of five triterpenoic acids in different parts of Poria cocos was established. These components could be separated within 15 min, and the amount of methanol was 3.63% of that of HPLC method. Taking the five triterpenoid acids as an index, the content of triterpenoid acids in different parts of Poria cocos from high to low were Poriae Cutis, rubra Poria, white Poria and Poria cum Radix Pini. The method is simple, rapid, and uses minimal solvent. The mobile phase of environment-friendly gas carbon dioxide has unique advantages in reducing environmental pollution, which can provide a basis for the development and standard formulation of Poria cocos and its related products.

, correspAuthors=Li YANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2021 Acta Pharmaceutica Sinica. All rights reserved., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Na LI, Yuan-gui YANG, Yue CHEN, Rui XU, Li-hua GU, Yuan-biao XIE, Song-ming LI, Chang-sen ZHAN, Zheng-tao WANG, Li YANG), CN=ArticleExt(id=1208402656847049237, articleId=1208402655714587098, tenantId=1146029695717560320, journalId=1189982191388893191, language=CN, title=超临界流体色谱法分析茯苓不同药用部位中三萜酸类成分, columnId=1190335348896011050, journalTitle=药学学报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=

首次采用超高效合相色谱-光电二级阵列管-四级飞行时间质谱联用技术(UPC2-PDA-Q-TOF/MSE)建立定性和定量方法,对茯苓不同药用部位(茯苓皮、赤茯苓、茯苓、茯神)进行质量评价。利用UPC2-PDA从茯苓类药材中共检测到18个色谱峰,结合主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)对4个药用部位进行比较,结果表明不同药用部位成分差异较大,并筛选出茯苓新酸A、茯苓新酸B、去氢齿孔酸、松苓新酸为主要三萜酸类差异化合物。进一步结合茯苓类药材中的共有活性成分猪苓酸C,采用UPC2-PDA法建立了茯苓类药材中上述5种三萜酸类化合物的含量测定方法。该方法可使5个三萜酸成分在15 min内达到基线分离,有机试剂甲醇的用量仅为HPLC方法的3.63%。以5种三萜酸成分为指标,茯苓不同药用部位中三萜酸含量由高到低依次为茯苓皮、赤茯苓、茯神和茯苓。本实验所建立的方法具有简便、快速、节省溶剂等优点,采用环境友好型气体二氧化碳为流动相,在减少环境污染方面具有独特优势,可为茯苓药材及其相关产品开发和标准制定提供参考。

, correspAuthors=杨莉, authorNote=null, correspAuthorsNote=
*杨莉, Tel: 86-21-51322506, E-mail:
, copyrightStatement=版权所有©《药学学报》编辑部2021, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=bpzjFfPfgNHyiBX87thEBg==, magXml=f2kBxl6bb5r9vuausx5XOg==, pdfUrl=null, pdf=1E2vpxlrtugpywDUQ1QTJg==, pdfFileSize=755498, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=LxzmJnsvKzDw0nbbJgozkw==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=OHP5ZdbvIi+WYqAOWe83vA==, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=李娜, 杨远贵, 陈玥, 徐芮, 谷丽华, 谢元彪, 李淞明, 詹常森, 王峥涛, 杨莉)}, authors=[Author(id=1208478675201274034, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1208478675322908870, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, authorId=1208478675201274034, language=EN, stringName=Na LI, firstName=Na, middleName=null, lastName=LI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=1, 2, address=1. The MOE Key Laboratory for Standardization of Chinese Medicines and SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
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J Pharm Biomed Anal, 2018, 150: 278-286., articleTitle=Qualitatively and quantitatively comparing secondary metabolites in three medicinal parts derived from Poria cocos (Schw.) Wolf using UHPLC-QTOF-MS/MS-based chemical profiling, refAbstract=null)], funds=[Fund(id=1208478683224978365, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, awardId=81920108033, language=CN, fundingSource=国家自然科学基金资助项目(81920108033), fundOrder=null, country=null), Fund(id=1208478683350807492, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, awardId=82074011, language=CN, fundingSource=国家自然科学基金资助项目(82074011), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1208478674769260665, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, xref=null, ext=[AuthorCompanyExt(id=1208478674781843578, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, companyId=1208478674769260665, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1. 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Shanghai Hutchison Pharmaceuticals Co., Ltd., Shanghai 201401, China), AuthorCompanyExt(id=1208478675067056290, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, companyId=1208478675033501851, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3.上海和黄药业有限公司, 上海 201401)])], figs=[ArticleFig(id=1208478681371095851, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=EN, label=null, caption=null, figureFileSmall=MF9NmmqAvmGuy9anjX0+rQ==, figureFileBig=P5nP/gy4B0volgDo1NZx1A==, tableContent=null), ArticleFig(id=1208478681501119285, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=CN, label=Figure 1, caption= UPC<sup>2</sup>-PDA chromatograms of five triterpenoic acids in different parts of <i>Poria cocos</i> (A: Mix standard; B: Poriae Cutis; C: Rubra <i>Poria</i>; D: White <i>Poria</i>; E: <i>Poria</i> cum Radix Pini; 9: Polyporenic acid C; 12: Poricoic acid A; 13: Poricoic acid B; 14: Dehydroeburic acid; 15: Dehydrotrametenolic acid) , figureFileSmall=MF9NmmqAvmGuy9anjX0+rQ==, figureFileBig=P5nP/gy4B0volgDo1NZx1A==, tableContent=null), ArticleFig(id=1208478681715028814, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=EN, label=null, caption=null, figureFileSmall=Cj1GudSm3nFlDL+NcL27Nw==, figureFileBig=sUjTz4fPlOlj285GEbHDsg==, tableContent=null), ArticleFig(id=1208478681840857943, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=CN, label=Figure 2, caption= PCA/scores plot (A), PLS-DA/scores plot (B), and PLS-DA/loading plot (C) based on the holistic chemical profiling of four parts (PC: Poriae Cutis; RP: Rubra <i>Poria</i>; WP: White <i>Poria</i>; PRP: <i>Poria</i> cum Radix Pini) from 22 <i>Poria cocos</i> samples , figureFileSmall=Cj1GudSm3nFlDL+NcL27Nw==, figureFileBig=sUjTz4fPlOlj285GEbHDsg==, tableContent=null), ArticleFig(id=1208478681991852894, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
No. Dissected part Locality Collecting time
S1 Poriae Cutis Yingshan, Hubei 2018.11
S2 Poriae Cutis Yingshan, Hubei 2018.11
S3 Poriae Cutis Yingshan, Hubei 2018.12
S4 Poriae Cutis Yingshan, Hubei 2018.12
S5 Poriae Cutis Yingshan, Hubei 2018.11
S6 Poriae Cutis Bozhou, Anhui 2020.08
S7 Poriae Cutis Bozhou, Anhui 2020.09
S8 Rubra Poria Anqing, Anhui 2019.03
S9 Rubra Poria Anqing, Anhui 2019.05
S10 Rubra Poria Anqing, Anhui 2019.07
S11 Rubra Poria Anqing, Anhui 2019.08
S12 Rubra Poria Anqing, Anhui 2019.09
S13 White Poria Yuexi, Anhui 2018.10
S14 White Poria Jingdong, Yunnan 2018.11
S15 White Poria Jinggu, Yunnan 2018.11
S16 White Poria Luotian, Hubei 2018.12
S17 White Poria Luotian, Hubei 2018.11
S18 Poria cum Radix Pini Yingshan, Hubei 2018.11
S19 Poria cum Radix Pini Yingshan, Hubei 2018.12
S20 Poria cum Radix Pini Yingshan, Hubei 2018.11
S21 Poria cum Radix Pini Yingshan, Hubei 2018.11
S22 Poria cum Radix Pini Yingshan, Hubei 2018.12
), ArticleFig(id=1208478682134459240, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=CN, label=Table 1, caption=

The origin information of Poria cocos (Schw.) Wolf

, figureFileSmall=null, figureFileBig=null, tableContent=
No. Dissected part Locality Collecting time
S1 Poriae Cutis Yingshan, Hubei 2018.11
S2 Poriae Cutis Yingshan, Hubei 2018.11
S3 Poriae Cutis Yingshan, Hubei 2018.12
S4 Poriae Cutis Yingshan, Hubei 2018.12
S5 Poriae Cutis Yingshan, Hubei 2018.11
S6 Poriae Cutis Bozhou, Anhui 2020.08
S7 Poriae Cutis Bozhou, Anhui 2020.09
S8 Rubra Poria Anqing, Anhui 2019.03
S9 Rubra Poria Anqing, Anhui 2019.05
S10 Rubra Poria Anqing, Anhui 2019.07
S11 Rubra Poria Anqing, Anhui 2019.08
S12 Rubra Poria Anqing, Anhui 2019.09
S13 White Poria Yuexi, Anhui 2018.10
S14 White Poria Jingdong, Yunnan 2018.11
S15 White Poria Jinggu, Yunnan 2018.11
S16 White Poria Luotian, Hubei 2018.12
S17 White Poria Luotian, Hubei 2018.11
S18 Poria cum Radix Pini Yingshan, Hubei 2018.11
S19 Poria cum Radix Pini Yingshan, Hubei 2018.12
S20 Poria cum Radix Pini Yingshan, Hubei 2018.11
S21 Poria cum Radix Pini Yingshan, Hubei 2018.11
S22 Poria cum Radix Pini Yingshan, Hubei 2018.12
), ArticleFig(id=1208478682264482675, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
Peak No. tR /min Measured mass Calculated mass Error /×10-6 Formula Fragmention Identification Ref.
1 3.54 509.361 9 509.363 1 -2.4 C33H50O4 463.356 9, 379.259 4, 413.262 5 Poricoic acid CE 18
2 3.71 495.347 3 495.347 4 -0.2 C32H48O4 449.344 8, 435.337 1 3β-Acetoxylanosta-7, 9(11), 24-trien-21-oic acid 18
5 4.42 527.373 2 527.373 7 -0.9 C33H52O5 467.351 3, 465.337 2 Pachymic acid 18
7 4.80 513.357 2 513.358 0 -1.6 C32H50O5 451.317 8, 465.336 4 3-O-Acetyl-16α-hydroxytrametenolic acid 19
9 5.19 481.331 6 481.331 8 -0.4 C31H46O4 435.325 7, 421.309 9, 403.299 3, 387.268 0 Polyporenic acid Ca 18
10 5.58 467.315 7 467.316 1 -0.9 C30H44O4 423.322 2, 407.292 5 16-Deoxyporicoic acid B 19
12 6.73 497.326 8 497.327 2 0.2 C31H46O5 423.289 9, 381.314 7, 363.267 6, 409.273 4 Poricoic acid A*, a 19
13 7.28 483.310 8 483.311 0 -0.4 C30H44O5 409.273 6, 349.251 6 Poricoic acid B*, a 18
14 9.17 467.351 6 467.352 5 -1.9 C31H48O3 371.258 9, 455.347 5, 337.252 0 Dehydroeburic acid*, a 19
15 9.44 453.336 2 453.336 9 -1.5 C30H46O3 337.252 6, 371.257 3, 435.327 4 Dehydrotrametenolic acid*, a 18
), ArticleFig(id=1208478682394506110, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=CN, label=Table 2, caption=

Identification of chemical constituents in different parts of Poria cocos by UPC2-PDA-Q-TOF/MSE. aIdentification of reference substance; *Significant difference component

, figureFileSmall=null, figureFileBig=null, tableContent=
Peak No. tR /min Measured mass Calculated mass Error /×10-6 Formula Fragmention Identification Ref.
1 3.54 509.361 9 509.363 1 -2.4 C33H50O4 463.356 9, 379.259 4, 413.262 5 Poricoic acid CE 18
2 3.71 495.347 3 495.347 4 -0.2 C32H48O4 449.344 8, 435.337 1 3β-Acetoxylanosta-7, 9(11), 24-trien-21-oic acid 18
5 4.42 527.373 2 527.373 7 -0.9 C33H52O5 467.351 3, 465.337 2 Pachymic acid 18
7 4.80 513.357 2 513.358 0 -1.6 C32H50O5 451.317 8, 465.336 4 3-O-Acetyl-16α-hydroxytrametenolic acid 19
9 5.19 481.331 6 481.331 8 -0.4 C31H46O4 435.325 7, 421.309 9, 403.299 3, 387.268 0 Polyporenic acid Ca 18
10 5.58 467.315 7 467.316 1 -0.9 C30H44O4 423.322 2, 407.292 5 16-Deoxyporicoic acid B 19
12 6.73 497.326 8 497.327 2 0.2 C31H46O5 423.289 9, 381.314 7, 363.267 6, 409.273 4 Poricoic acid A*, a 19
13 7.28 483.310 8 483.311 0 -0.4 C30H44O5 409.273 6, 349.251 6 Poricoic acid B*, a 18
14 9.17 467.351 6 467.352 5 -1.9 C31H48O3 371.258 9, 455.347 5, 337.252 0 Dehydroeburic acid*, a 19
15 9.44 453.336 2 453.336 9 -1.5 C30H46O3 337.252 6, 371.257 3, 435.327 4 Dehydrotrametenolic acid*, a 18
), ArticleFig(id=1208478682524529539, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
Analyte Calibration curve r Linear range/μg·mL-1 LOD/μg·mL-1 LOQ/μg·mL-1
Polyporenic acid C y = 1 607.9 x + 5 579.3 0.999 6 7.30-116.80 3.65 7.30
Poricoic acid A y = 1 349.6 x + 14 713.8 0.999 9 50.13-802.10 6.27 12.54
Poricoic acid B y = 1 196.6 x + 10 335.1 0.999 9 19.38-310.00 9.69 14.54
Dehydroeburic acid y = 1 481.4 x + 5 569.5 0.999 7 10.56-338.00 5.28 10.56
Dehydrotrametenolic acid y = 1 776.6 x + 17 733.3 0.999 8 22.84-731.00 4.57 11.42
), ArticleFig(id=1208478682667135886, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=CN, label=Table 3, caption=

The calibration curve, linear range, regression, LOD, LOQ of five triterpenoic acids

, figureFileSmall=null, figureFileBig=null, tableContent=
Analyte Calibration curve r Linear range/μg·mL-1 LOD/μg·mL-1 LOQ/μg·mL-1
Polyporenic acid C y = 1 607.9 x + 5 579.3 0.999 6 7.30-116.80 3.65 7.30
Poricoic acid A y = 1 349.6 x + 14 713.8 0.999 9 50.13-802.10 6.27 12.54
Poricoic acid B y = 1 196.6 x + 10 335.1 0.999 9 19.38-310.00 9.69 14.54
Dehydroeburic acid y = 1 481.4 x + 5 569.5 0.999 7 10.56-338.00 5.28 10.56
Dehydrotrametenolic acid y = 1 776.6 x + 17 733.3 0.999 8 22.84-731.00 4.57 11.42
), ArticleFig(id=1208478682801353628, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
No. Dissected part Polyporenic acid C /mg·g-1 Poricoic acid A /mg·g-1 Poricoic acid B /mg·g-1 Dehydroeburic acid/mg·g-1 Dehydrotrametenolic acid/mg·g-1
S1 Poriae Cutis 1.189 8.478 3.230 3.654 7.162
S2 Poriae Cutis 1.034 8.789 2.792 3.370 7.742
S3 Poriae Cutis 1.000 9.230 3.285 3.762 7.001
S4 Poriae Cutis 1.011 8.065 3.153 3.204 6.698
S5 Poriae Cutis 0.905 7.027 2.425 2.630 5.788
S6 Poriae Cutis 1.196 8.776 3.325 3.565 6.818
S7 Poriae Cutis 0.994 7.946 3.168 3.517 6.647
S8 Rubra Poria 0.235 - - 0.121 1.096
S9 Rubra Poria 0.183 - - 0.116 0.983
S10 Rubra Poria 0.208 - - 0.148 0.977
S11 Rubra Poria 0.214 - - 0.140 1.082
S12 Rubra Poria 0.190 - - 0.103 0.764
S13 White Poria 0.095 - - - -
S14 White Poria 0.116 - - - -
S15 White Poria 0.115 - - - -
S16 White Poria 0.098 - - - -
S17 White Poria 0.077 - 0.061 - -
S18 Poria cum Radix Pini 0.114 0.118 0.105 0.079 1.205
S19 Poria cum Radix Pini 0.089 0.114 0.165 - 0.443
S20 Poria cum Radix Pini 0.095 0.056 0.081 0.106 0.294
S21 Poria cum Radix Pini 0.107 0.194 0.219 0.126 0.477
S22 Poria cum Radix Pini 0.064 0.061 0.081 0.081 0.662
), ArticleFig(id=1208478682918794149, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208402655714587098, language=CN, label=Table 4, caption=

The content of five triterpenoic acids in different parts of Poria cocos (n = 3). -: Under the detection limit

, figureFileSmall=null, figureFileBig=null, tableContent=
No. Dissected part Polyporenic acid C /mg·g-1 Poricoic acid A /mg·g-1 Poricoic acid B /mg·g-1 Dehydroeburic acid/mg·g-1 Dehydrotrametenolic acid/mg·g-1
S1 Poriae Cutis 1.189 8.478 3.230 3.654 7.162
S2 Poriae Cutis 1.034 8.789 2.792 3.370 7.742
S3 Poriae Cutis 1.000 9.230 3.285 3.762 7.001
S4 Poriae Cutis 1.011 8.065 3.153 3.204 6.698
S5 Poriae Cutis 0.905 7.027 2.425 2.630 5.788
S6 Poriae Cutis 1.196 8.776 3.325 3.565 6.818
S7 Poriae Cutis 0.994 7.946 3.168 3.517 6.647
S8 Rubra Poria 0.235 - - 0.121 1.096
S9 Rubra Poria 0.183 - - 0.116 0.983
S10 Rubra Poria 0.208 - - 0.148 0.977
S11 Rubra Poria 0.214 - - 0.140 1.082
S12 Rubra Poria 0.190 - - 0.103 0.764
S13 White Poria 0.095 - - - -
S14 White Poria 0.116 - - - -
S15 White Poria 0.115 - - - -
S16 White Poria 0.098 - - - -
S17 White Poria 0.077 - 0.061 - -
S18 Poria cum Radix Pini 0.114 0.118 0.105 0.079 1.205
S19 Poria cum Radix Pini 0.089 0.114 0.165 - 0.443
S20 Poria cum Radix Pini 0.095 0.056 0.081 0.106 0.294
S21 Poria cum Radix Pini 0.107 0.194 0.219 0.126 0.477
S22 Poria cum Radix Pini 0.064 0.061 0.081 0.081 0.662
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超临界流体色谱法分析茯苓不同药用部位中三萜酸类成分
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李娜 1, 2 , 杨远贵 1 , 陈玥 1 , 徐芮 1 , 谷丽华 1 , 谢元彪 3 , 李淞明 3 , 詹常森 3 , 王峥涛 1 , 杨莉 1, 2, *
药学学报 | 研究论文 2021,56(4): 1120-1126
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药学学报 | 研究论文 2021, 56(4): 1120-1126
超临界流体色谱法分析茯苓不同药用部位中三萜酸类成分
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李娜1, 2, 杨远贵1, 陈玥1, 徐芮1, 谷丽华1, 谢元彪3, 李淞明3, 詹常森3, 王峥涛1, 杨莉1, 2, *
作者信息
  • 1.上海中医药大学中药研究所, 中药标准化教育部重点实验室, 国家中医药管理局中药新资源与质量评价重点实验室, 上海 201203
  • 2.上海中医药大学交叉科学研究院, 上海 201203
  • 3.上海和黄药业有限公司, 上海 201401

通讯作者:

*杨莉, Tel: 86-21-51322506, E-mail:
Analysis of triterpenoic acids in different medicinal parts of Poria cocos (Schw.) Wolf using supercritical fluid chromatography
Na LI1, 2, Yuan-gui YANG1, Yue CHEN1, Rui XU1, Li-hua GU1, Yuan-biao XIE3, Song-ming LI3, Chang-sen ZHAN3, Zheng-tao WANG1, Li YANG1, 2, *
Affiliations
  • 1. The MOE Key Laboratory for Standardization of Chinese Medicines and SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
  • 2. Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
  • 3. Shanghai Hutchison Pharmaceuticals Co., Ltd., Shanghai 201401, China
出版时间: 2021-04-12 doi: 10.16438/j.0513-4870.2021-0045
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首次采用超高效合相色谱-光电二级阵列管-四级飞行时间质谱联用技术(UPC2-PDA-Q-TOF/MSE)建立定性和定量方法,对茯苓不同药用部位(茯苓皮、赤茯苓、茯苓、茯神)进行质量评价。利用UPC2-PDA从茯苓类药材中共检测到18个色谱峰,结合主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)对4个药用部位进行比较,结果表明不同药用部位成分差异较大,并筛选出茯苓新酸A、茯苓新酸B、去氢齿孔酸、松苓新酸为主要三萜酸类差异化合物。进一步结合茯苓类药材中的共有活性成分猪苓酸C,采用UPC2-PDA法建立了茯苓类药材中上述5种三萜酸类化合物的含量测定方法。该方法可使5个三萜酸成分在15 min内达到基线分离,有机试剂甲醇的用量仅为HPLC方法的3.63%。以5种三萜酸成分为指标,茯苓不同药用部位中三萜酸含量由高到低依次为茯苓皮、赤茯苓、茯神和茯苓。本实验所建立的方法具有简便、快速、节省溶剂等优点,采用环境友好型气体二氧化碳为流动相,在减少环境污染方面具有独特优势,可为茯苓药材及其相关产品开发和标准制定提供参考。

茯苓  /  不同部位  /  三萜酸  /  超临界流体色谱法  /  含量测定

Qualitative and quantitative methods were used to establish the quality of different medicinal parts of Poria cocos (Poriae Cutis, rubra Poria, white Poria, Poria cum Radix Pini) by using ultra-performance convergence chromatography coupled with photo-diode array and quadrupole time-of-flight mass spectrometry (UPC2-PDA-Q-TOF/MSE). A total of 18 chromatographic peaks were detected from Poria cocos by UPC2-PDA. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to compare the four medicinal parts. The results showed that there were significant differences in the components of different medicinal parts, and the main triterpenoic acids were poricoic acid A, poricoic acid B, dehydroeburicoic acid, and dehydrotrametenolic acid. When combined with the common active component polyporenic acid C, a method for determination of five triterpenoic acids in different parts of Poria cocos was established. These components could be separated within 15 min, and the amount of methanol was 3.63% of that of HPLC method. Taking the five triterpenoid acids as an index, the content of triterpenoid acids in different parts of Poria cocos from high to low were Poriae Cutis, rubra Poria, white Poria and Poria cum Radix Pini. The method is simple, rapid, and uses minimal solvent. The mobile phase of environment-friendly gas carbon dioxide has unique advantages in reducing environmental pollution, which can provide a basis for the development and standard formulation of Poria cocos and its related products.

Poria cocos  /  different medicinal part  /  triterpenoid acid  /  ultra-performance convergence chromatography  /  assay determination
李娜, 杨远贵, 陈玥, 徐芮, 谷丽华, 谢元彪, 李淞明, 詹常森, 王峥涛, 杨莉. 超临界流体色谱法分析茯苓不同药用部位中三萜酸类成分. 药学学报, 2021 , 56 (4) : 1120 -1126 . DOI: 10.16438/j.0513-4870.2021-0045
Na LI, Yuan-gui YANG, Yue CHEN, Rui XU, Li-hua GU, Yuan-biao XIE, Song-ming LI, Chang-sen ZHAN, Zheng-tao WANG, Li YANG. Analysis of triterpenoic acids in different medicinal parts of Poria cocos (Schw.) Wolf using supercritical fluid chromatography[J]. Acta Pharmaceutica Sinica, 2021 , 56 (4) : 1120 -1126 . DOI: 10.16438/j.0513-4870.2021-0045
茯苓来源于多孔菌科真菌茯苓[Poria cocos (Schw.) Wolf] 的干燥菌核[1], 含有多糖类、三萜类、甾醇类、氨基酸、脂肪酸等化学成分[2-4]。三萜类化合物是该药的主要药效组分之一, 具有抗肿瘤、降血糖、利尿等药理作用[5-7]。东汉以前茯苓常以整体入药, 东汉时期始载有茯苓皮(Poriae Cutis) 入药的方剂, 东晋时期开始有茯苓(white Poria)、茯神(Poria cum Radix Pini) 的区别, 南北朝时期开始有茯苓、赤茯苓(rubra Poria) 的记载[8]。根据入药部位和功效不同, 茯苓类药材常分为茯苓皮、赤茯苓、茯苓、茯神四种。茯苓皮是茯苓菌核的外皮部分, 有利水消肿之功效; 赤茯苓为茯苓菌核近外皮部的淡红色部分, 有行水利湿热、益心肺之功效; 茯苓为菌核中间的白色部分, 有利水渗湿、益脾和胃之功效; 茯神为菌核中间抱有松根部分, 有宁心、安神、利水之功效。随着茯苓皮、赤茯苓、茯苓、茯神入药部位由表及里, 行水利尿作用逐渐减弱而宁心安神作用增强。近年来, 茯苓各方面研究逐渐增多, 其化学成分与药理作用及其应用开发备受关注, 但关于不同药用部位化学成分的差异至今仍不够明确。为了临床用药的准确安全, 有必要对不同部位茯苓进行区分。因此, 茯苓中三萜酸类活性成分的定性定量评价对其临床用药和质量控制具有重要意义。
目前, 高效液相色谱法常用于茯苓中三萜类成分的含量测定, 但它存在分离时间过长, 有机试剂用量大, 溶剂效应高等缺点[9, 10]。近年来, 液质联用技术因具有分析速度快, 灵敏度高, 准确性强的特点, 被广泛应用于中药材的分析中[11, 12]。已有利用液质联用技术对茯苓中三萜酸类成分进行含量测定[13, 14], Zhao等[15]利用UPLC-QTRAP-MS测定茯苓中8个三萜酸类成分, 与本研究所测指标不尽相同, 分析茯苓药用部位也有区别, 同时由于质谱设备价格昂贵, 普及性较低, 不适用于中药材的质量控制。2020年版《中国药典》中茯苓和茯苓皮均无[含量测定] 项, 缺少切实可行的质量控制方法。
超临界色谱法是以清洁气体CO2为流动相, 超临界状态下, 具有黏度低、扩散率高的特点, 使得超临界流体色谱法比HPLC具有更快速和更高分辨率的分离优势[16]。当用于大量样品的分离分析时既能节省时间、提高效率又不需要使用大量的有机溶剂, 在节约成本和保护环境方面具有独特的优势[17]。本实验采用超临界流体色谱技术, 分别对色谱柱类型、改性剂类型、柱温和背压进行系统优化。优化后的方法, 从整体对茯苓类药材进行定性评价, 筛选出差异较大的特征性三萜酸类成分, 包括茯苓新酸A、茯苓新酸B、去氢齿孔酸和松苓新酸。进一步结合茯苓类药材中的共有活性成分猪苓酸C, 采用UPC2-PDA对上述5种三萜酸类化合物进行含量测定。本研究所建立的方法具有简便快捷、绿色、能耗成本较低等优点, 可为茯苓类药材及其相关产品提供实验依据。
仪器与试剂  ACQUITY UPLCTM-QTOF Synapt G2 HDMS液质联用仪(沃特世科技有限公司, 美国), MassLynx 4.1工作站; Waters Acquity UPC2-PDA (沃特世科技上海有限公司); Agilent 1260高效液相色谱仪(安捷伦科技有限公司, 美国); BT 25 S型电子分析天平(精密度为0.01 mg) 和BSA124S-CW (精密度为0.1 mg) 型电子分析天平(北京赛多利斯公司); KQ-250DB型超声波清洗器(昆山市超声仪器有限公司); ZP15D1型超声纯水仪(上海泽权仪器设备有限公司)。对照品猪苓酸C (批号: 19051522, 纯度98%, 上海同田生物技术股份有限公司); 去氢齿孔酸(批号: PRF10031923, 纯度98%, 成都普瑞法科技开发有限公司)。茯苓新酸A (批号: 200413, 纯度98%)、茯苓新酸B (批号: 200605, 纯度98%)、松苓新酸(批号: 200807, 纯度98%) 均由成都植标化纯生物技术有限公司提供; 高纯二氧化碳(纯度99.995%, 液化空气昆山气体科技有限公司); 甲醇、乙腈、异丙醇(HPLC级, Fisher Chemical, 美国); 甲酸(HPLC级, CNW Technologies, 德国); 水为超纯水。
实验材料  此次供研究用的22批茯苓药材(表 1) 主要产地包括湖北、安徽、云南省, 其中20批由3个饮片生产企业提供, 2批购自药店, 经上海中药标准化研究中心吴立宏研究员收集并鉴定, 标本保存于上海中药标准化研究中心。
超高效合相色谱条件  ACQUITY UPC2 HSS C18 SB色谱柱(2.1 mm×150 mm, 1.7 μm); 流动相为二氧化碳(A)-[0.1%甲酸-甲醇溶液(B)], 梯度洗脱(0~10 min, 94% A→90% A; 10~15 min, 90% A→87% A); 流速: 1.0 mL·min-1; 检测波长: 242 nm; 柱温: 45 ℃; 背压: 1 800 psi (1 psi ≈ 6.9 kPa); 进样量: 1.0 μL。
质谱条件  电喷雾离子源(ESI), 负离子监测MSE模式, 质量扫描范围m/z 100~1 500, 毛细管电压2.8 kV, 锥孔电压55 V, 离子源温度120 ℃, 脱溶剂温度350 ℃, 脱溶剂气(N2) 流速600 L·h-1, 锥孔气(N2) 流速50 L·h-1, 低能量扫描时能量为4 eV, 高能量扫描时能量为25~50 eV。
混合对照品溶液制备  精密称取各对照品适量, 用甲醇制成每1 mL中含0.1 mg的猪苓酸C、0.8 mg的茯苓新酸A、0.3 mg的茯苓新酸B、0.3 mg的去氢齿孔酸和0.7 mg的松苓新酸混合溶液, 作为茯苓对照品溶液。
供试品溶液制备  精密称取茯苓皮粉末(过四号筛) 0.5 g, 置25 mL锥形瓶中, 加甲醇10 mL超声45 min, 放冷, 补足失重, 取上清液, 0.22 μm滤过即得供试品溶液。精密称取赤茯苓、茯苓和茯神粉末(过四号筛) 0.5 g, 置25 mL锥形瓶中, 加甲醇10 mL超声45 min, 放冷, 补足失重, 滤过, 取续滤液5 mL, 蒸干, 残渣用甲醇溶解并定容至1 mL量瓶中, 摇匀, 过0.22 μm滤膜即得供试品溶液。
专属性  取混合对照品溶液、茯苓皮供试品溶液、赤茯苓供试品溶液、茯苓供试品溶液和茯神供试品溶液, 进样测定, 比较色谱图。
线性范围、检测限和定量限  分别精密称取猪苓酸C、茯苓新酸A、茯苓新酸B、去氢齿孔酸和松苓新酸对照品, 加甲醇制成质量浓度分别为0.12、0.80、0.31、0.34和0.73 mg·mL-1的混合溶液, 稀释得到不同浓度对照品溶液。浓度由低到高依次进样测定。分别以各对照品浓度(x) 为横坐标, 峰面积(y) 为纵坐标, 绘制标准曲线, 计算分析物回归方程, 相关系数(r)。当信噪比等于3和10时, 计算猪苓酸C、茯苓新酸A、茯苓新酸B、去氢齿孔酸和松苓新酸的检测限(LOD) 和定量限(LOQ)。
精密度  精密吸取同一供试品溶液(S5) 1 μL, 连续进样6次, 测定峰面积, 计算各待测物浓度的RSD值。
重复性  取S5样品6份, 按“供试品溶液制备”项下方法制备供试品溶液, 进样测定, 计算各待测物浓度的RSD值。
稳定性  精密吸取同一供试品溶液(S5) 1 μL, 分别于配制后0、2、4、6、8、12和24 h进样测定。
准确度  取含有量已知的S5样品9份, 分别按已知含量的50%、100%和150%浓度水平加入混合对照品溶液, 按“供试品溶液制备”项下方法制备低、中、高3个不同浓度的供试品溶液, 每一种浓度平行制备3份, 进样测定。
数据分析  利用SIMCA-P+ 13.0 (Umetrics AB, 瑞典) 软件对采集到的所有茯苓样品在0~15 min内的UPC2-PDA指纹图谱进行PCA和PLS-DA分析, 得到不同得分图以便直观地了解茯苓不同药用部位样本间的差异情况。
本实验对22批茯苓4个不同药用部位中三萜酸类成分进行定性分析。茯苓皮、赤茯苓、茯苓和茯神的UPC2-PDA色谱图见图 1, 在0~15 min内, 共检测到18个三萜酸类成分。通过正负离子模式比较, 选择了信息更为丰富的负离子模式。根据一级、二级质谱的裂解特征以及部分对照品比对, 利用Q-TOF/MSE鉴定了10个三萜酸类成分, 见表 2[18, 19]
PCA分析是通过降维的方法将原来的变量重新组合成几个新的相互无关的变量, 以达到尽可能多地反映原来变量的信息。为判别茯苓不同药用部位样品间的差异, 利用SIMCA-P对22批茯苓药材的UPC2-PDA结果进行PCA分析。由图 2A可见, 22批茯苓样本沿着PC1轴方向具有明显的区分趋势, 不同药用部位的茯苓样本可以有效区分。茯苓皮为一类(S1~S7); 赤茯苓为一类(S8~S12); 茯苓为一类(S13~S17); 茯神归为一类(S18~S22)。茯苓和茯神具有相似的化学成分, 这与其饮片加工过程选取的部位一致有关。由于PCA分析是一种无监督的模型验证方法, 不能消除组内噪音。有必要采用有监督的PLS-DA分析寻找隐藏的损坏模型稳健性的特征变量, 突出组间差异。
PLS-DA可将对分类贡献较大的特征变量提取出来。由图 2B可知, 与PCA结果类似, 茯苓皮、赤茯苓、茯苓和茯神被分为四类。根据PLS-DA模型, 绘制Loading Plot图, 见图 2C, 进行差异三萜酸类成分的筛选, 共筛选出茯苓新酸A (峰12)、茯苓新酸B (峰13)、去氢齿孔酸(峰14) 和松苓新酸(峰15) 4个差异三萜酸类成分。
为了更全面地评价茯苓类药材的质量, 猪苓酸C为4个药用部位的共有成分, 其具有抗肿瘤、降血糖、利尿等药理作用。有必要对以上4种差异三萜酸类成分以及共有成分猪苓酸C进行定量分析。
测得样品色谱图如图 1所示。待测成分与相邻色谱峰均能有效分离, 其中猪苓酸C与其相邻峰分离度大于2.0, 茯苓新酸A和茯苓新酸B两峰之间分离度大于1.8, 去氢齿孔酸和松苓新酸两峰之间分离度大于1.6。理论板数按猪苓酸C、茯苓新酸A、茯苓新酸B、去氢齿孔酸和松苓新酸峰计算, 应分别不小于12 000、8 000、7 000、40 000和40 000。
5个成分的线性回归方程、相关系数、检测限(LOD) 和定量限(LOQ) 结果见表 3, 均显示出良好的线性关系。
测得猪苓酸C、茯苓新酸A、茯苓新酸B、去氢齿孔酸和松苓新酸峰面积的RSD分别为1.59%、1.57%、2.35%、1.08%和0.49%, 表明精密度良好。
猪苓酸C、茯苓新酸A、茯苓新酸B、去氢齿孔酸和松苓新酸的平均含量(n = 6) 分别为0.91、7.03、2.42、2.63和5.79 mg·g-1, RSD分别为0.86%、0.59%、1.87%、1.08%和1.59%, 说明方法重复性良好。
猪苓酸C、茯苓新酸A、茯苓新酸B、去氢齿孔酸和松苓新酸峰面积的RSD分别为1.70%、1.13%、1.11%、1.15%和0.63%, 表明分析物在48 h内稳定。
猪苓酸C、茯苓新酸A、茯苓新酸B、去氢齿孔酸和松苓新酸的平均回收率分别为99.78%、98.94%、101.3%、99.41%和97.76%, 其RSD为2.21%、2.54%、2.07%、2.58%和1.24%。结果表明, 方法的准确度良好。
采用上述方法测定22批茯苓类药材中5个三萜酸类成分的含量, 以5种三萜酸含量的总和为指标, 茯苓皮的含量范围为18.78~24.28 mg·g-1, 平均含量为22.65 mg·g-1; 赤茯苓的含量范围为1.06~1.45 mg·g-1, 平均含量为1.31 mg·g-1; 茯苓的含量范围为0.10~0.14 mg·g-1, 平均含量为0.11 mg·g-1; 茯神的含量范围为0.63~1.62 mg·g-1, 平均含量为1.03 mg·g-1。结果表明, 茯苓不同药用部位中5种三萜酸成分的含量依次为: 茯苓皮 > 赤茯苓 > 茯神 > 茯苓, 结果见表 4
本研究对不同提取溶剂(甲醇、70%甲醇、乙醇、乙酸乙酯)、不同料液比(1∶20、1∶30、1∶50)、不同提取时间(15、30和45 min) 进行考察。最终优选出以甲醇作为提取溶剂, 料液比1∶20, 超声提取45 min作为样品的提取方法; 比较四种不同的UPC2填料(UPC2 HSS C18 SB、UPC2torus DIOL、UPC2BEH 2-EP、UPC2CSH Fluoro Phenyl), 发现UPC2 HSS C18 SB是一种未封顶的、低覆盖率的C18键合相, 增加了待测成分的亲硅作用力, 被测成分可以实现较好的分离; 考察了改性剂[甲醇、0.1%甲酸-甲醇、甲醇-乙腈(1∶1)、异丙醇]、柱温(25、35、45、55 ℃) 和背压(11 032、12 411、13 790、15 169 kPa) 对分离效果的影响, 当0.1%甲酸-甲醇作为改性剂, 柱温45 ℃, 背压12 411 kPa时, 5个三萜酸类成分的分离效果最好。
基于本课题组的前期研究, 采用HPLC法测定茯苓类药材中的三萜酸类成分, 以十八烷基键合硅胶为填充剂; 以乙腈-0.1%磷酸溶液(75∶25) 作为流动相, 检测波长为242 nm, 等度洗脱, 分析时间长达40 min, 且产生大量的废液。而本文采用的超临界流体色谱方法, 在15 min内被测指标达到基线分离, 有机试液用量仅是HPLC的3.63%。同时, 对S1样品进行HPLC进样测定, 测定结果表明, 两种分析方法5种三萜酸类成分含有量测定结果之间的相对平均偏差小于4.0%, 因此, 超临界流体色谱法可用于茯苓类药材的快速测定。
本文首次采用超临界流体色谱法分析茯苓类药材中的三萜酸类化合物。所建立的方法可使5个三萜酸类成分15 min内达到基线分离, 有机试剂甲醇的用量仅为HPLC方法的3.63%, 样品分析时长为HPLC的1/3, 当用于大量样本的分析时, 既能节省时间、提高效率, 又不需要使用大量的有机溶剂, 在节约成本和保护环境方面具有独特的优势。该方法可同时快速测定茯苓不同部位中5种三萜酸类成分的含量。结果表明, 茯苓皮中5种成分含量明显高于赤茯苓、茯苓、茯神。现代研究已证实茯苓不同部位, 其药性、功用有区别, 应根据不用证候特点正确选用茯苓不同的入药部位, 以充分发挥其药性和功用。本实验可为茯苓药材及其相关产品开发和标准制定提供参考。
作者贡献: 李娜、王峥涛和杨莉设计实验; 李娜、杨远贵、陈玥、徐芮进行实验数据采集; 谷丽华、谢元彪、李淞明、詹常森进行药材收集; 李娜、杨远贵、王峥涛和杨莉撰写、修改论文。
利益冲突: 无利益冲突。
  • 国家自然科学基金资助项目(81920108033)
  • 国家自然科学基金资助项目(82074011)
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2021年第56卷第4期
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doi: 10.16438/j.0513-4870.2021-0045
  • 接收时间:2021-01-08
  • 首发时间:2025-12-18
  • 出版时间:2021-04-12
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  • 收稿日期:2021-01-08
  • 修回日期:2021-02-23
基金
国家自然科学基金资助项目(81920108033)
国家自然科学基金资助项目(82074011)
作者信息
    1.上海中医药大学中药研究所, 中药标准化教育部重点实验室, 国家中医药管理局中药新资源与质量评价重点实验室, 上海 201203
    2.上海中医药大学交叉科学研究院, 上海 201203
    3.上海和黄药业有限公司, 上海 201401

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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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