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作 者:LI Shasha ZHANG Yiping DENG Yuanhui WANG Qian XIE Zhiru Ibarra-Estrada Emmanuel XIAO Xue 李莎莎;张怡萍;邓远辉;王倩;谢志茹;Ibarra-Estrada Emmanuel;肖雪(广州中医药大学第二临床医学院,中国广东广州510006;广东药科大学中医药研究院,中国广东广州510006;Mexican Seed Association,A.C.,Mexico City 01030,Mexico)
机构地区:[1]The Second Clinical Collage,Guangzhou University of Chinese Medicine,Guangzhou,Guangdong 510006,China [2]Chinese Medicine Research Institute,Guangdong Pharmaceutical University,Guangzhou,Guangdong 510006,China [3]Mexican Seed Association,A.C.,Mexico City 01030,Mexico
出 处:《Digital Chinese Medicine》2021年第2期120-129,共10页数字中医药(英文)
基 金:We thank for the funding support from the Guangdong Provincial Key Laboratory of Chinese Medicine for Prevention and Treatment of Refractory Chronic Diseases(No.2018B030322012).
摘 要:Objective To evaluate the difference between Baishao(Paeoniae Radix Alba,PRA)and Chishao(Paeoniae Radix Rubra,PRR)from different regions based on the characteristic spectra of amino acids(AAs).Methods Fingerprints of the 21 standard AAs were established using O-phthalaldehyde-9-fluorenylmethyl chloroformate(OPA-FMOC)pre-column derivation method.The AA components in PRA and PRR were characterized qualitatively and quantitatively,and different AAs were screened using pattern recognition technology.Results Twelve AAs were identified in both PRA and PRR.Meanwhile,aspartic acid,glutamic acid,arginine,alanine,and gamma-aminobutyric acid were screened as characteristic components,and their concentrations could effectively distinguish PRA from PRR.Conclusion The established characterization method,which is based on the characteristic spectra of AAs,is accurate,efficient,and sensitive and can effectively distinguish between PRA and PRR from different producing areas,thus providing a reference for the overall characterization and evaluation of Chinese medicinal materials.目的基于氨基酸特征谱评价不同产地白芍和赤芍的差异。方法采用邻苯二甲醛-9-氟烯基甲基氯甲酸酯(OPA-FMOC)柱前衍生法建立21种常见氨基酸指纹图谱,定性定量表征白芍与赤芍中的氨基酸成分,并结合模式识别技术筛选二者的差异氨基酸。结果从白芍和赤芍中定性12种相同的氨基酸,其中天冬氨酸、谷氨酸、精氨酸、丙氨酸及γ-氨基丁酸为差异氨基酸,其含量可有效判别白芍与赤芍。结论建立的氨基酸特征谱表征方法准确高效、灵敏度高,可有效判别不同产地白芍和赤芍,为中药材整体表征和评价提供参考。
关 键 词:O-phthalaldehyde-9-fluorenylmethyl chloroformate(OPA-FMOC)pre-column derivatization method Amino acids characteristic spectra Baishao(Paeoniae Radix Alba PRA) Chishao(Paeoniae Radix Rubra PRR) Pattern recognition
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