A new reaction system to determine nonlinear chemical fingerprint and its use in Panax ginseng identification method based on double reaction system

A new reaction system to determine nonlinear chemical fingerprint(NCF)and its use in identification method based on double reaction system was researched.Panax ginsengs,such as ginseng,American ginseng and notoginseng were identified by the method.The NCFs of the three samples of Panax ginsengs were determined through two nonlinear chemical systems,namely system 1 consisting of sample components,H2SO4,MnSO4,NaBrO3,acetone and the new system,system 2 consisting of sample components,H2SO4,(NH4)4Ce(SO4)2,NaBrO3 and citric acid.The comparison between the results determined through systems 1 and 2 shows that the speed to determine NCF through system 2 is much faster than that through system 1;for systems 1 and 2,the system similarities of the same kind of samples are≥98.09%and 99.78%,respectively,while those of different kinds of samples are≤63.04%and 86.34%,respectively.The results to identify the kinds of some samples by system similarity pattern show that both the accuracies of identification methods based on single system 1 and 2 are≥95.6%,and the average values are 97.1%and 96.3%,respectively;the accuracy of the method based on double system is≥97.8%,and the average accuracy is 99.3%.The accuracy of the method based on double system is higher than that based on any single system.

Study on chemical composition of Viscum coloratum and its HPLC fingerprint in different harvest periods

The purpose of this study was to evaluate the similarity of chemical profile of Viscum loloratum harvested in different months using high performance liquid chromatography(HPLC)fingerprint and multivariate statistical analysis,and to determine the optimal harvest time of Viscum coloratum.8 compounds were isolated from Viscum coloratum by a variety of isolation techniques,3 of which were isolated from the genus Viscum L.for the first time.The fingerprint of Viscum coloratum was established by HPLC,and 16 common peaks were obtained,4 of which were identified by comparison with the reference substances.Results showed that the Viscum coloratum harvested in 6 months could be roughly divided into three groups based on the chemical profiles,and the Viscum coloratum harvested in January had higher levels of the marked compounds.The HPLC fingerprint objectively reveals the characteristics of Viscum coloratum harvested in different months,which can be used to evaluate and control the quality of Viscum coloratum harvested in different months.

Study on Characteristic Fingerprint of Chemical Constituents in the Pholidota cantonensis Rolfe.

[Objectives] This study was conducted to establish a characteristic fingerprinting research method for the chemical constituents of the Zhuang medicine Pholidota cantonensis Rolfe.and its characteristic fingerprint of chemical constituents,in order to identify P.cantonensis.[Methods] Ten batches of P.cantonensis from different habitats in Guangxi and out of Guangxi (Shaoguan of Guangdong Province) were determined.The materials were extracted in 80% methanol ultrasonically for 1.5 h under the material-to-liquid ratio of 2.5 g/80 ml.The HPLC determination was carried out using an Agilent 1260 HPLP instrument equipped with an Agilent5 TC-C18 (2) column at the column temperature of 30 ℃,the wavelength of 280 nm and the injection volume of 10 μl using acetonitrile-0.4% phosphoric acid as the mobile phase and chlorogenic acid as the reference peak,and the detection took 58 min.[Results] The characteristic fingerprint of the chemical constituents of P.cantonensis were obtained,and the three chromatographic peaks of gallic acid,chlorogenic acid and syringaldehyde were compared.[Conclusions] This study can provide reference for the identification of the Zhuang medicine P.cantonensis and provide guarantee for the clinical use of Chinese medicine.

Study on HPLC-DAD Fingerprint of Xueshuan Xinmaining Capsules

[Objectives]To establish the HPLC-DAD fingerprint of Xueshuan Xinmaining Capsule(XXC).[Methods]The chromatographic conditions for the analysis of XXC solution were as follows:XSelect HSS T3 column;acetonitrile-0.1%phosphoric acid water was used as mo-bile phase,gradient elution;flow rate:1.0 mL/min;column temperature 30℃;The injection volume is 10μL.The quality of XXC samples produced by different manufacturers was evaluated by similarity evaluation and cluster analysis.[Results]In theHPLC-dad fingerprints of 15 batches of XXC,23 common peaks were identified and 9 peaks were identified,and the similarity was greater than 0.95.According to the re-sults of cluster analysis,15 batches of XXC samples could be divided into two categories,S2,S5,S6,S7 and S8 batches belonged to category Ⅰ,and the rest batches belonged to category Ⅱ.[Conclusions]In this study,a representative and universal identification method of Xxc HPLC-DAD fingerprint was established.The method has high precision,stability and repeatability,is simple and reliable,and provides a pow-erful reference for further improving the quality evaluation system of XXC.

Development and Distinction of <i>Rhizoma rodgersiae</i>with HPLC-DAD Fingerprint Analysis Combined with Chemical Pattern Recognition Techniques

In this paper, the feasibility and advantages of employing high performance liquid chromatographic-photodiode array detection (HPLC-DAD) fingerprint combined with chemical pattern recognition for quality consistency evaluation of widely used Rhizoma rodgersiae (RR) were investigated and demonstrated for the first time. The Similarity Evaluation System was employed to evaluate the similarities of 10 batches of RR sample;moreover, hierarchical clustering analysis (HCA) and principal component analysis (PCA) were also successfully applied to discriminate RR samples of different regions and seasons. Our results indicated that the seasonal variation had some influence on the chemical fingerprints of this herbal drug. This approach allowed the discrimination of RR samples from different sources. The current study demonstrated that fingerprint profiling coupled with chemical pattern recognition offered a reliable and efficient way to comprehensively assess the quality consistency of the tested samples.

Kinetic Determination of Urea in Milk Powder by Nonlinear Chemical Fingerprint Technique

To detect urea content in milk powder, a nonlinear chemical fingerprint technique was developed. In our study, Belousov-Zhabotinsky oscillatory chemical reaction (B-Z) was performed using milk powder and malonic acid as main dissipative substances. The same dosage of milk powder with or without artificially added urea was introduced to “H+ + Ce4+ + + malonic acid” oscillating system, respectively, and nonlinear chemical fingerprints of different milk powder were thus obtained. The proposed method was based on a linear relationship between inductive time of non-linear chemical fingerprints and urea content in milk powder, which held when urea content in milk powder was in the range of 0 - 40 mg/g. A detection limit of 7.8 × 10-3mg/g was also obtained. Our results showed that the method could be used to certify urea content in milk powder without pretreatment of samples, which was more simple and economical compared with traditional methods.

Chemical Fingerprint and Anti-Sickling Activity of Rosmarinic Acid and Methanolic Extracts from Three Species of Ocimum from DR Congo

The aim of this study was to characterize the polyphenolic composition by determination of chemical fingerprints of Methanolic extracts of Ocimum canum Sims, Ocimum basilicum L. and Ocimum gratissimum L. from Democratic Republic of Congo and to compare their antisickling activity of that of rosmarinic acid, the major compound to those of methanolic extracts. Phytochemical analysis performed by TLC and HPLC analysis, showed that rosmarinic acid is the most abundant phenolic acid in these Ocimum species according to the following order O. basilicum L., O. gratissimum L. and O. canum Sims. Methanolic extracts of these three species and pure rosmarinic acid showed significant antisickling activities with minimal concentration of normalization values of 0.18 ± 0.03, 0.23 ± 0.04, 0.26 ± 0.04 and 0.31 ± 0.05 mg/mL for rosmarinic acid, O. basilicum L., O. gratissimum L. and O. canum Sims methanolic extracts respectively. The antisickling activity order is the same as that of the rosmarinic acid content, indicating that this polyphenolic acid would be among the main active molecules in these extracts.

HPLC fingerprint of Nauclea officinalis stems in different harvesting period

Objective:To establish HPLC fingerprint of Nauclea officinalis stems in different harvesting periods,and analyze the effect of harvest time on the quality of the medicinal materials by combining with chemical pattern recognition.Methods:The analysis was performed on Sun Fire-C18(150 mm×4.6 mm,5μm)column.The mobile phase consisted of acetonitrile-0.1%phosphoric acid solution(gradient elution)at a flow rate of 1.0 mL/min.Results:The HPLC fingerprint of Nauclea officinalis stems was established and 12 common peaks were determined,and 3 chromatographic peaks were identified by comparison with the mixed references.There were some differences in the quality of Nauclea officinalis in different harvesting periods.The OPLS-DA analysis successfully predicted four main markers of quality difference.Conclusion:The established HPLC fingerprint could reflect the composition characteristics of Nauclea officinalis stems in different harvesting period,and the main markers that influence the composition difference of the stems could be used as key indicators for the quality control.

清肝润肺止咳露高效液相色谱特征图谱、含量测定及化学模式识别的研究

目的建立清肝润肺止咳露高效液相色谱(HPLC)特征图谱,测定其中吗啡、可待因、罂粟碱、那可丁的含量,并结合化学模式识别方法,综合评价该制剂的质量。方法采用HPLC法,以甲醇-5μmoL·L^(-1)庚烷硫酸钠溶液(用磷酸调节pH至2.6)为流动相进行梯度洗脱,流速:1.0 mL·min^(-1),柱温:20℃,检测波长:220 nm,进样量:10μL。利用指纹图谱相似度评价软件,结合聚类分析(CA)、主成分分析(PCA)和偏最小二乘法判别分析(PLS-DA)对10批清肝润肺止咳露的特征图谱进行评价。结果10批清肝润肺止咳露特征图谱共确定16个共有峰,指认了5个共有峰,分别为吗啡、可待因、蒂巴因、罂粟碱、那可丁。其中4个成分在线性范围内(吗啡0.70~8.70μg、可待因0.68~8.50μg、罂粟碱0.60~7.55μg、那可丁0.38~4.80μg)均有良好的线性关系(r≥0.9997);精密度、稳定性、重复性试验的RSD均小于3.0%;平均加样回收率在97.93%~99.43%之间(RSD<3.1%);含量测定结果:吗啡43.58~76.47μg·mL^(-1),可待因16.64~78.92μg·mL^(-1),罂粟碱29.93~41.22μg·mL^(-1),那可丁14.44~33.22μg·mL^(-1)。通过CA、PCA和PLS-DA分析,可将10批清肝润肺止咳露分为2类(S3、S4、S8、S10聚为一类,其余聚为一类),并筛选出峰2、峰4、峰13、峰11(吗啡)、峰1、峰10、峰8、峰12、峰16(那可丁)9个差异性成分。结论该研究建立的HPLC特征图谱及含量测定方法简单、准确,结合化学模式识别法,可用于清肝润肺止咳露的质量控制。

HPLC指纹图谱结合多成分含量测定评价香附质量

目的建立香附药材的高效液相色谱(High performance liquid chromatography,HPLC)指纹图谱,结合4种化学成分含量对不同产地及用药规格香附的质量进行综合评价。方法采集HPLC指纹图谱,并结合聚类分析(Cluster analysis,CA)和主成分分析(Principal component analysis,CA)等多种化学计量学方法对不同产地及用药规格的香附药材进行区分比较。利用HPLC法测定香附药材中香附烯酮、α-香附酮、木犀草素和阿魏酸的含量。结果CA和PCA分析结果显示,不同产地香附均可单独聚为一类,而浙江金华与其他产地香附差异最大,河南尉氏香附综合得分最高,质量较优;正交偏最小二乘法判别分析(Orthogonal partial least square-discriminant,OPLS-DA)结果显示,指纹图谱中13号峰(α-香附酮)、10号峰(香附烯酮)和14号峰是不同产地间香附质量产生差异的主要成分。广东湛江和浙江金华香附中香附烯酮与α-香附酮含量较为接近,香附烯酮含量远大于河南香附,α-香附酮含量远小于河南香附;不同产地香附中阿魏酸和木犀草素含量差异不大。去皮后香附中香附烯酮、α-香附酮和木犀草素含量降低,阿魏酸含量增加。结论不同产地间香附质量存在差异,以河南香附质量最佳。去皮前后香附化学成分相似,无明显种类差异。

引火汤冻干粉HPLC指纹图谱建立及8种成分含量测定

目的建立引火汤冻干粉HPLC指纹图谱,并测定地黄苷D、麦冬甲基黄烷酮A、毛蕊花糖苷、原儿茶酸、梓醇、五味子醇甲、五味子乙素、五味子甲素的含量。方法指纹图谱建立采用Supersil AQ18色谱柱(4.6 mm×250 mm,5μm);流动相乙腈-0.1%磷酸,梯度洗脱;体积流量1.0 mL/min;柱温30℃;检测波长230 nm。UPLC-MS/MS含量测定采用Alphasil VC-C_(18)色谱柱(2.1 mm×100 mm,2.5μm);流动相乙腈-0.1%甲酸,梯度洗脱;体积流量0.3 mL/min;柱温30℃;电喷雾离子源;正负离子扫描;多反应监测模式。结果10批冻干粉指纹图谱中有17个共有峰,相似度大于0.90,指认出毛蕊花糖苷、水晶兰苷、去乙酰车叶草苷酸、五味子醇甲。8种成分在各自范围内线性关系良好(R^(2)>0.9906),平均加样回收率98.7%~101.1%,RSD 2.0%~5.2%。结论指纹图谱结合含量测定能完整表征引火汤基准样品质量,从而为其关键化学属性质量评价提供参考。

基于HPLC指纹图谱结合化学模式识别对葡萄醋的质量评价

目的建立葡萄醋中有机酸成分的高效液相(High performance liquid phase,HPLC)指纹图谱,并结合化学模式识别对葡萄醋质量进行评价及为临床应用提供参考。方法采用HPLC法,以甲醇(A)∶0.5%磷酸水溶液(D)=1∶99洗脱,建立葡萄醋指纹图谱,同时测定琥珀酸的含量;采用相似度评价、聚类分析(Cluster analysis,CA)、主成分分析(Principal component analysis,PCA)和偏最小二乘-判别分析(Partial least squares discriminant analysis,PLS-DA)等化学模式识别对差异性特征成分进行筛选。结果15批葡萄醋样品的指纹图谱共有峰有11个,通过与混合对照品色谱峰进行比对,指认出6个共有峰,分别是酒石酸(1号峰),苹果酸(2号峰),琥珀酸(3号峰),富马酸(4号峰),绿原酸(9号峰),乙酸(11号峰);CA结果表明15批葡萄醋样品中各个化合物之间含量差异较大,即使是同一生产企业生产的不同批次葡萄醋其含量差异也较大;PCA结果显示葡萄醋共有峰含量差异的主要成分并非单一成分,而是前4种主成分共同的影响;PLS-DA结果表明筛选出的7、3、9、4号峰可作为鉴别和区分葡萄醋质量差异的标志物,其中包括共有峰3号峰(琥珀酸)、4号峰(富马酸)。结论采用指纹图谱结合化学模式识别技术可快速、有效地筛选出葡萄醋的差异性特征成分,为葡萄醋质量评价及临床应用提供参考。

高效液相色谱指纹图谱结合一测多评法评价诃子药材质量

目的评价诃子药材的质量。方法建立诃子药材的高效液相色谱指纹图谱,采用相似度计算、聚类分析和主成分分析法对其质量进行评价。以柯里拉京为内参物,建立测定诃子药材中莽草酸、没食子酸、没食子酸甲酯、没食子酸乙酯、诃黎勒酸、鞣花酸、诃子酸含量的一测多评法,并将计算结果与外标法测定结果进行比较。结果18批诃子药材的指纹图谱有23个共有峰,指认出2号峰为莽草酸、7号峰为没食子酸、11号峰为没食子酸甲酯、14号峰为柯里拉京、15号峰为没食子酸乙酯、16号峰为诃黎勒酸、20号峰为鞣花酸、22号峰为诃子酸,相似度均大于0.95。聚类分析结果显示,18批诃子药材聚为2类,其中产地为青海的2批药材聚为一类,其余药材聚为一类。主成分分析结果显示,主成分特征值大于1的5个成分累积方差贡献率为84.088%。采用一测多评法计算的18批诃子药材中莽草酸、没食子酸、没食子酸甲酯、没食子酸乙酯、诃黎勒酸、鞣花酸、诃子酸的含量与外标法测定结果无显著差异(P>0.05)。结论高效液相色谱指纹图谱结合一测多评法可有效评价诃子药材的质量。

基于HPLC特征图谱和多成分含量评价梨干的质量

目的建立梨干的特征图谱,测定其中熊果苷、绿原酸、芦丁3种成分的质量分数,结合化学模式识别方法,综合评价其质量差异。方法采用HPLC法,乙腈-0.1%(体积分数)磷酸水溶液作为流动相进行梯度洗脱,流速:1.0 mL/min;柱温:30℃;检测波长:0~25 min,280 nm;26~90 min,350 nm;进样量:20μL。采用“中药色谱特征图谱相似度评价系统(2012版)”软件,结合聚类分析(HCA)、主成分分析(PCA)和正交偏最小二乘法-判别分析(OPLS-DA)综合评估20批梨干样本的HPLC特征图谱,同时测定其熊果苷、绿原酸、芦丁的质量分数。结果建立了20批梨干药材的特征图谱,相似度为0.959~0.997,标定了16个共有峰,同时指认了3个共有峰,分别为熊果苷、绿原酸、芦丁,其质量分数分别为16.78~66.00、47.69~260.10、1.39~5.48μg/g,绿原酸质量分数明显高于其他2种成分。通过HCA、PCA和OPLS-DA分析,把20批梨干分为2类(河北产地与非河北产地),并筛选出VIP值大于1的差异性标志成分6种,分别为峰9(绿原酸)、峰4、峰5、峰8、峰13、峰1(熊果苷)。结论本方法简便、准确,可用于梨干的质量控制。

不同产地巴戟天HPLC指纹图谱及化学模式识别研究

目的:利用HPLC指纹图谱及化学模式识别对巴戟天药材进行评价。方法:采用Shodex Asahipak NH2P-504E色谱柱(4.6 mm×250 mm,5μm),以乙腈-水为流动相梯度洗脱,使用蒸发光散射检测器(ELSD)。利用相似度评价、聚类分析和主成分分析等化学模式识别方法,对不同产地的巴戟天药材进行分析。结果:所建立的HPLC指纹图谱共识别了18个共有峰,经与对照品图谱比较,鉴定其中的4个共有峰分别为果糖、蔗糖、蔗果三糖和耐斯糖。6个产地巴戟天的相似度在0.861~0.995;经聚类分析和主成分分析,6个产地巴戟天共聚为3类。结论:本研究采用的巴戟天HPLC指纹图谱及化学模式识别技术可反映出不同产地的巴戟天样品的差异,可为巴戟天的质量控制提供参考。

基于HPLC指纹图谱结合化学模式识别以及多指标成分定量评价前胡药材质量

基于HPLC指纹图谱和多指标成分含量测定,并结合化学模式识别,评价不同产地前胡药材质量。采用Agilent SB-C_(18)(4.6 mm×250 mm,5μm)色谱柱,以甲醇-0.5%甲酸水为流动相进行梯度洗脱,流速为0.5 mL/min,检测波长321 nm,建立指纹图谱并对4个香豆素类成分进行定量,采用聚类分析(hierarchical clustering analysis,HCA)、主成分分析(principal component analysis,PCA)、偏最小二乘法-判别分析(partial least squares discriminant analysis,PLS-DA)对不同产地前胡药材进行质量评价。结果显示16批前胡药材HPLC指纹图谱相似度为0.966~0.999,确定了21个共有峰,共指认了9个成分。通过化学模式识别分析,将16批样品聚类为三类:以安徽宁国、亳州等为主的道地产区前胡,以湖南、贵州、重庆等为主的前胡,以及高海拔云南产区的前胡,并确立8个差异性质量标志物。多指标含量测定不同产地前胡的佛手柑内酯、白花前胡甲素、白花前胡乙素、白花前胡素E含量分别为0.0167~0.1319 mg/g、6.0696~16.2255 mg/g、0.4265~2.0100 mg/g、1.3407~3.1155 mg/g。本研究所建立的指纹图谱和含量测定方法专属性强,稳定性高,分离度良好,结合化学模式可用于前胡药材的质量评价。

基于指标成分及指纹图谱多模式识别的不同品种红花质量评价

目的:测定不同品种红花指标成分、建立指纹图谱,并结合化学识别模式法对其进行质量评价,建立不同品种红花质量比较方法。方法:采用高效液相色谱法(HPLC)测定32批不同品种红花的羟基红花黄色素A(HSYA)和山柰酚含量;利用“中药色谱指纹图谱相似度评价系统”(2012版)对32批红花样品进行相似度评价,并采用Origin 2022软件对其进行聚类分析,采用SIMCA 14.1软件进行主成分分析。结果:32批红花样品除3批未检出外,其余29批的HSYA质量分数为0.4%~2.5%,32批红花样品中山柰酚的质量分数为0.004%~1.060%;其HPLC指纹图谱共确定16个共有峰,指认了色氨酸、HSYA和6-羟基山柰酚-3-O-β-D-葡萄糖苷等5个成分,相似度为0.510~0.936,不同品种的红花质量差异显著。结论:通过HPLC含量测定、指纹图谱建立及多模式识别法,可实现不同品种红花的质量差异分析比较,研究结果提供了不同红花品种潜在的育种方向,对红花育种工作具有重要的参考价值。

基于HPLC-Q-TOF/MS多成分含量和指纹图谱的加味二妙颗粒质量评价

目的 建立加味二妙颗粒指纹图谱以及多成分含量测定方法,为其质量控制提供参考。方法 采用HPLC-Q-TOF/MS分析加味二妙颗粒中的化学成分。色谱柱为Wondasil C18Superb(250 mm×4.6 mm, 5μm)柱,流动相为乙腈-体积分数0.1%甲酸溶液,梯度洗脱,对10批加味二妙颗粒进行指纹图谱和4种指标性成分含量测定。结果 HPLC-Q-TOF/MS技术共鉴定出加味二妙颗粒中144个化合物,指纹图谱中标定了15个共有峰,并通过对照品比对指认出(R,S)-告依春、去乙酰车叶草苷酸甲酯、盐酸黄柏碱、橙皮苷等9个峰,加味二妙颗粒指纹图谱的相似度均>0.95;测定(R,S)-告依春、落新妇苷、橙皮苷和小檗碱4个指标性成分含量,质量分数分别为0.021 1~0.056 8 mg·g^(-1)、0.200 9~0.552 3 mg·g^(-1)、0.274 1~0.719 1 mg·g^(-1)、0.237 1~0.704 9 mg·g^(-1)。结论 建立的加味二妙颗粒指纹图谱和多成分含量测定方法能够全面反映加味二妙颗粒的质量特征,亦为建立其制剂质量标准提供了依据。

包尔胡特果实的化学成分分析及综合质量评价

目的 鉴定包尔胡特果实的化学成分,并建立其指纹图谱和同时测定4种成分含量的方法,以综合评价包尔胡特果实的质量。方法 采用超高效液相色谱四极杆-飞行时间串联质谱法鉴定包尔胡特果实中的化学成分。采用高效液相色谱(HPLC)法建立15批包尔胡特果实(编号S1~S15)的指纹图谱,并采用SPSS 26.0与SIMCA 14.1软件进行化学计量学分析;同法测定槲皮素、山柰酚、山柰素、大黄素的含量。结果 包尔胡特果实中共鉴定出35种化合物,包括28种黄酮类成分、5种蒽醌类成分、2种有机酸类成分;其HPLC指纹图谱中共标定19个共有峰,指认出槲皮素、山柰酚、山柰素和大黄素;15批样品的HPLC指纹图谱与对照指纹图谱的相似度均大于0.9。聚类分析结果显示,15批样品聚为2类,其中S1~S5、S7、S9为一类,其余样品为一类,与主成分分析结果相同;正交偏最小二乘法-判别分析结果显示,2、6、1、11(槲皮素)、3、14、8、10、19(大黄素)、5号峰的变量重要性投影值均大于1。槲皮素、山柰酚、山柰素、大黄素的含量分别为0.710~10.478、0.236~0.660、0.334~3.039、0.261~0.504 mg/g。结论 所建化学成分鉴定方法、指纹图谱和含量测定方法简便可行、重复性好,结合化学计量学分析可用于包尔胡特果实质量的综合评价。

玫瑰花HPLC指纹图谱研究

目的建立玫瑰花HPLC指纹图谱,为其质量评价提供参考。方法采用HPLC,色谱柱为COSMOSIL 5C18-MS-Ⅱ(4.6 mm×250 mm,5μm),以2.5%乙腈+0.1%甲酸+水(A)-乙腈+0.1%甲酸(B)为流动相,梯度洗脱,柱温40℃,流速0.5 mL/min,检测波长350 nm。采用《中药色谱指纹图谱相似度评价系统》(2012版)对13批样品进行相似度评价,通过液相色谱-质谱(LC-MS)技术进行定性分析,并结合聚类分析、主成分分析和正交偏最小二乘-判别分析对玫瑰花进行整体质量评价。结果建立了玫瑰花HPLC指纹图谱共有模式,13批样品相似度较好,初步鉴定指认其中9个共有峰;化学模式识别将13批样品聚为3类。结论本研究建立的玫瑰花指纹图谱结合化学模式识别方法灵敏度高、专属性强,可为制定玫瑰花的质量评价标准提供依据。