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Methods An indicator displacement assay (IDA) strategy was employed where test sample solutions of GCMs served as analytes and macrocyclic molecule-dye host-guest pairs with specific fluorescence signals were used as sensing pairs to construct a sensor array. The fluorescence intensity changes resulting from the interaction between different GCMs and the sensing units were detected and combined with pattern recognition methods for differentiation. Results Through screening host-guest sensing units with selective fluorescence responses to GCMs from a supramolecular library consisting of cyclodextrins, cucurbiturils, calixarenes, and biphen[n ]arenes hosts combined with dyes, a quaternary supramolecular sensor array was constructed including quaternary ammonium salt calix[5]arene (QAC5A)·eosin Y (EY) (0.4 μmol/L vs 0.5 μmol/L), quaternary ammonium modified azocalix[4]arene (QAAC4A)·EY (1 μmol/L vs 1 μmol/L), dodecyl quaternary ammonium salt azo calix[4]arene (QAAC4A12C)·EY (0.6 μmol/L vs 1 μmol/L), and terphen[3]arene (WTP3)·fluorescein (Fl) (0.3 μmol/L vs 0.6 μmol/L). Principal component analysis (PCA) demonstrated that Ejiao (Colla Corii Asini ), Xin’ejiao (Colla Corii Suilli ), Biejiajiao (Colla Carapacis Trionychis ), Lugujiao (Colla Ossis Cervi ), Guijiajiao (Colla Carapacis et Plastri Testudinis ) or Lujiajiao (Colla Cornus Cervi ) could be significantly distinguished within a 95% confidence interval. Conclusion This study developed a quaternary supramolecular sensor array integrated with pattern recognition analysis which enables rapid discrimination of various GCMs., authors=ZHENG Jianxiao, NIU Kejing, ZHOU Lixin, WANG Yuefei, YU Huijuan, authorsList=ZHENG Jianxiao, NIU Kejing, ZHOU Lixin, WANG Yuefei, YU Huijuan, authorCompany=null, correspAuthors=null, 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=1304388189603521061, articleId=1304388189385417252, tenantId=1146029695717560320, journalId=1302319053441957962, language=CN, title=基于超分子传感阵列的胶类中药特征研究及应用, columnId=1304140189132149234, journalTitle=中草药, columnName=药剂与工艺, runingTitle=null, highlight=null, articleAbstract=目的 建立基于超分子传感技术的胶类中药特征表征方法。方法 采用指示剂置换分析（indicator displacement assay，IDA）策略，以胶类中药供试品溶液为分析物，筛选可与其产生特异性荧光信号的大环分子·染料主客体对作为传感单元，构建传感阵列；通过检测不同胶类中药与不同传感对作用后的荧光强度，结合模式识别方法进行分析与区分。结果 基于由环糊精、葫芦脲、杯芳烃及联苯芳烃等超分子大环主体与染料构建的主客体传感单元库，筛选出对胶类中药具有灵敏响应的传感单元，成功构建了由季铵盐杯[5]芳烃（QAC5A）·曙红Y二钠盐（EY）（0.4 μmol/L vs 0.5 μmol/L）、季铵盐偶氮杯[4]芳烃（QAAC4A）·EY（1 μmol/Lvs 1 μmol/L）、十二烷基季铵偶氮杯[4]芳烃（QAAC4A12C）·EY（0.6 μmol/L vs 1 μmol/L）、联苯[3]芳烃（WTP3）·荧光素钠（Fl）（0.3 μmol/L vs 0.6 μmol/L）组成的四元超分子传感阵列。主成分分析（principal component analysis，PCA）结果表明，阿胶、新阿胶、鳖甲胶、鹿骨胶、龟甲胶（或鹿角胶）在95%置信区间内能够被明显区分。结论 构建四元超分子传感阵列结合模式识别分析，可用于对不同胶类中药的快速区分。, authors=郑建校1 , 牛可敬1 , 周立欣1 , 王跃飞1,2 , 于卉娟1,2 , authorsList=郑建校, 牛可敬, 周立欣, 王跃飞, 于卉娟, authorCompany=1 天津中医药大学中医药研究院, 现代中药创制全国重点实验室, 天津 301617; Colla Corii Asini ), Keyword(id=1304401982907769478, tenantId=1146029695717560320, journalId=1302319053441957962, articleId=1304388189385417252, language=EN, orderNo=8, keyword=Colla Corii 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中草药
|药剂与工艺
2026
, 57
(13) :
5043
-5053
基于超分子传感阵列的胶类中药特征研究及应用
全屏
郑建校1 , 牛可敬1 , 周立欣1 , 王跃飞1,2 , 于卉娟1,2
作者信息
1 天津中医药大学中医药研究院, 现代中药创制全国重点实验室, 天津 301617;
通讯作者:
王跃飞
作者简介:
郑建校: 郑建校（2002—），男，硕士研究生，主要从事中药药效物质及质量控制研究。Tel:(022)59596366 E-mail:z13012621716@163.com
Characteristic analysis and application of gelatinous Chinese medicines based on supramolecular sensing array
ZHENG Jianxiao, NIU Kejing, ZHOU Lixin, WANG Yuefei, YU Huijuan
Affiliations
doi: 10.7501/j.issn.0253-2670.2026.13.009
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目的 建立基于超分子传感技术的胶类中药特征表征方法。方法 采用指示剂置换分析（indicator displacement assay，IDA）策略，以胶类中药供试品溶液为分析物，筛选可与其产生特异性荧光信号的大环分子·染料主客体对作为传感单元，构建传感阵列；通过检测不同胶类中药与不同传感对作用后的荧光强度，结合模式识别方法进行分析与区分。结果 基于由环糊精、葫芦脲、杯芳烃及联苯芳烃等超分子大环主体与染料构建的主客体传感单元库，筛选出对胶类中药具有灵敏响应的传感单元，成功构建了由季铵盐杯[5]芳烃（QAC5A）·曙红Y二钠盐（EY）（0.4 μmol/L vs 0.5 μmol/L）、季铵盐偶氮杯[4]芳烃（QAAC4A）·EY（1 μmol/Lvs 1 μmol/L）、十二烷基季铵偶氮杯[4]芳烃（QAAC4A12C）·EY（0.6 μmol/L vs 1 μmol/L）、联苯[3]芳烃（WTP3）·荧光素钠（Fl）（0.3 μmol/L vs 0.6 μmol/L）组成的四元超分子传感阵列。主成分分析（principal component analysis，PCA）结果表明，阿胶、新阿胶、鳖甲胶、鹿骨胶、龟甲胶（或鹿角胶）在95%置信区间内能够被明显区分。结论 构建四元超分子传感阵列结合模式识别分析，可用于对不同胶类中药的快速区分。
胶类中药
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超分子传感
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指示剂置换分析
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传感阵列
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区分
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主成分分析
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阿胶
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新阿胶
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鳖甲胶
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鹿骨胶
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龟甲胶
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鹿角胶
Objective To establish a method for differentiating gelatinous Chinese medicines (GCMs) based on supramolecular sensing technology. Methods An indicator displacement assay (IDA) strategy was employed where test sample solutions of GCMs served as analytes and macrocyclic molecule-dye host-guest pairs with specific fluorescence signals were used as sensing pairs to construct a sensor array. The fluorescence intensity changes resulting from the interaction between different GCMs and the sensing units were detected and combined with pattern recognition methods for differentiation. Results Through screening host-guest sensing units with selective fluorescence responses to GCMs from a supramolecular library consisting of cyclodextrins, cucurbiturils, calixarenes, and biphen[n ]arenes hosts combined with dyes, a quaternary supramolecular sensor array was constructed including quaternary ammonium salt calix[5]arene (QAC5A)·eosin Y (EY) (0.4 μmol/L vs 0.5 μmol/L), quaternary ammonium modified azocalix[4]arene (QAAC4A)·EY (1 μmol/L vs 1 μmol/L), dodecyl quaternary ammonium salt azo calix[4]arene (QAAC4A12C)·EY (0.6 μmol/L vs 1 μmol/L), and terphen[3]arene (WTP3)·fluorescein (Fl) (0.3 μmol/L vs 0.6 μmol/L). Principal component analysis (PCA) demonstrated that Ejiao (Colla Corii Asini ), Xin’ejiao (Colla Corii Suilli ), Biejiajiao (Colla Carapacis Trionychis ), Lugujiao (Colla Ossis Cervi ), Guijiajiao (Colla Carapacis et Plastri Testudinis ) or Lujiajiao (Colla Cornus Cervi ) could be significantly distinguished within a 95% confidence interval. Conclusion This study developed a quaternary supramolecular sensor array integrated with pattern recognition analysis which enables rapid discrimination of various GCMs.
gelatinous traditional Chinese medicine
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supramolecular sensing
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indicator displacement assay
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sensor array
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differentiation
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principal component analysis
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Colla Corii Asini
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Colla Corii Suilli
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Colla Carapacis Trionychis
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Colla Ossis Cervi
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Colla Carapacis et Plastri Testudinis
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Colla Cornus Cervi
郑建校, 牛可敬, 周立欣, 王跃飞, 于卉娟.
基于超分子传感阵列的胶类中药特征研究及应用.
中草药,
2026
, 57
(13)
: 5043
-5053
.
DOI: 10.7501/j.issn.0253-2670.2026.13.009
ZHENG Jianxiao, NIU Kejing, ZHOU Lixin, WANG Yuefei, YU Huijuan.
Characteristic analysis and application of gelatinous Chinese medicines based on supramolecular sensing array[J].
Chinese Traditional and Herbal Drugs ,
2026
, 57
(13)
: 5043
-5053
.
DOI: 10.7501/j.issn.0253-2670.2026.13.009
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2026年第57卷第13期
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doi: 10.7501/j.issn.0253-2670.2026.13.009
接收时间：2026-01-05
首发时间：2026-09-09
https://castjournals.cast.org.cn/joweb/zcy/CN/10.7501/j.issn.0253-2670.2026.13.009
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2种不同金属材料的力学参数
科 属数 种数 占总种数比例 属 种数 占总种数比例 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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