Article(id=1319291805070377287, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1319291472856338924, articleNumber=null, orderNo=null, doi=10.13193/j.issn.1673-7717.2026.07.011, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1792473277584, onlineDateStr=2026-10-20, pubDate=1783612800000, pubDateStr=2026-07-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792473277584, onlineIssueDateStr=2026-10-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792473277584, creator=13701087609, updateTime=1792473277584, updator=13701087609, issue=Issue{id=1319291472856338924, tenantId=1146029695717560320, journalId=1255847919539208197, year='2026', volume='44', issue='7', pageStart='1', pageEnd='258', issueExtLink='null', onlineDate='null', pubDate='1783612800000', pubDateStr='2026-07-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792473198379, creator='13701087609', updateTime=1792473406504, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1319292345858773669, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1319291472856338924, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1319292345858773670, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1319291472856338924, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=54, endPage=60, ext={EN=ArticleExt(id=1319291805271703880, articleId=1319291805070377287, tenantId=1146029695717560320, journalId=1255847919539208197, language=EN, title=Evaluation of Quality of Shanzha (Crataegi Fructus) Different Origin and Its Products by Grey Correlation Method and TOPSIS Method Based on Entropy Weight Method, columnId=1256183361521967297, journalTitle=Chinese Archives of Traditional Chinese Medicine, columnName=Target on National Project, runingTitle=null, highlight=null, articleAbstract=
Objective This research is dedicated to constructing a quality assessment model for Shanzha (Crataegi Fructus) by employing the entropy-weight method in conjunction with the grey-relational-analysis-TOPSIS approach. The objectives are to assess the quality disparities among Shanzha (Crataegi Fructus) and its processed derivatives (stir-fried and scorched products) sourced from diverse regions and to furnish a scientific foundation for the quality control of hawthorn.
Methods Water content, extract content, organic acid content, polysaccharide yield, total polysaccharide content and active components (chlorogenic acid, hyperoside, and isoquercetin) were selected as detection indices. The entropy-weight method was utilized to determine the weight of each index, and the grey-relational-analysis-TOPSIS method was applied to analyze the quality of Shanzha (Crataegi Fructus) and its processed products from six regions, namely Heilongjiang, Jilin, Liaoning, Inner Mongolia, Hebei and Shandong.
Results The study revealed that the processing procedures significantly decreased the water content, organic acid content, polysaccharide content and active component contents in Shanzha (Crataegi Fructus). The water content of raw materials ranged from 8% to 12% and dropped to 5%-11% after processing. The organic acid content decreased from 6%-10.5% in raw products to 4%-7.7% in scorched products. The polysaccharide yield decreased from 7%-8.3% in raw materials to 4.6%-5.2% in scorched products. The total active component contents decreased from 0.082 7%-0.139 4% in raw products to 0.024 8%-0.069 5% in scorched products. Shanzha (Crataegi Fructus) from Hebei and Shandong demonstrated superior performance in multiple indices. The extract content (39%-41% in raw products), organic acid content (9%-10.5% in raw products) and total active component content (0.13%-0.14% in raw products) were markedly higher than those in other regions.
Conclusion The quality evaluation model grounded in the entropy-weight method and the grey-relational-analysis-TOPSIS method offers a standardized and quantitative instrument for evaluating the quality of Shanzha (Crataegi Fructus) and its processed products. It contributes to standardizing the quality control of Shanzha (Crataegi Fructus) within the Chinese medicine industry and promotes the upgrading of Shanzha (Crataegi Fructus) planting industries in various regions and the enhancement of the Chinese medicine industry chain.
, authors=Zemin DING, Hui XIONG, Xia HONG, Shengnan ZHAO, Yanrong LI, Yueyue WANG, authorsList=Zemin DING, Hui XIONG, Xia HONG, Shengnan ZHAO, Yanrong LI, Yueyue WANG, authorCompany=null, correspAuthors=Yanrong LI, Yueyue WANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, 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, fund=null), CN=ArticleExt(id=1319291805628219721, articleId=1319291805070377287, tenantId=1146029695717560320, journalId=1255847919539208197, language=CN, title=基于熵权法和灰色关联法-TOPSIS法对不同产地山楂及其炮制品质量的评价研究, columnId=1256183362172142382, journalTitle=中华中医药学刊, columnName=国家项目点击, runingTitle=null, highlight=null, articleAbstract=
目的 旨在利用熵权法和灰色关联法-TOPSIS法建立山楂质量评价模型，评估不同产地山楂及其炮制品（炒品、焦品）的质量差异，为山楂的质量控制提供科学依据。
方法 以水分、浸出物、有机酸、多糖得率、总多糖含量及有效成分（绿原酸、金丝桃苷、异槲皮素）为检测指标，采用熵权法计算各指标权重，结合灰色关联法-TOPSIS法对黑龙江、吉林、辽宁、内蒙古、河北、山东等6个产地的山楂及其炮制品进行质量分析。
结果 研究发现，炮制过程显著降低了山楂的水分、有机酸、多糖及有效成分含量。生品水分含量为8%～12%，炮制后降至5%～11%；有机酸含量从生品的6%～10.5%降至焦品的4%～7.7%；多糖得率从生品的7%～8.3%降至焦品的4.6%～5.2%；有效成分总量从生品的0.082 7%～0.139 4%降至焦品的0.024 8%～0.069 5%。河北和山东的山楂在多项指标上表现最优，浸出物（生品39%～41%）、有机酸（生品9%～10.5%）及有效成分总量（生品0.13%～0.14%）显著高于其他地区。
结论 基于熵权法的灰色关联-TOPSIS质量评价模型，为山楂及其炮制品质量评价提供标准化、定量化工具，助力中药行业山楂质量控制规范化，推动多地区山楂种植产业升级与中药产业链完善。
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丁泽民（1987-），男，黑龙江大兴安岭人，主治医师、讲师，硕士，研究方向：中西医结合临床，中药药效物质基础。
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丁泽民（1987-），男，黑龙江大兴安岭人，主治医师、讲师，硕士，研究方向：中西医结合临床，中药药效物质基础。
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