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
投稿时间:2023-10-31     点此下载全文
引用本文:苏改兰,樊丛照,邱远金,张际昭,王果平,赵亚琴,王威,赵连佳,石书兵,李晓瑾.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[J].中国现代中药,2024,26(6):989-996
DOI:10.13313/j.issn.1673-4890.20231031001
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作者中文名作者英文名单位中文名单位英文名E-Mail
苏改兰 SU Gai-lan 新疆农业大学 农学院,新疆 乌鲁木齐 830052 College of Agronomy, Xinjiang Agricultural University, Urumqi 830052, China  
樊丛照 FAN Cong-zhao 新疆维吾尔自治区中药民族药研究所 国家中医药管理局新疆中药民族药资源重点研究室, 新疆 乌鲁木齐 830002 Xinjiang Key Laboratory of Traditional Chinese Medicine and Ethnic Medicine Resources, State Administration of Traditional Chinese Medicine, Xinjiang Institute of Traditional Chinese Medicine and Ethnic Medicine, Urumqi 830002, China  
邱远金 QIU Yuan-jin 新疆维吾尔自治区中药民族药研究所 国家中医药管理局新疆中药民族药资源重点研究室, 新疆 乌鲁木齐 830002 Xinjiang Key Laboratory of Traditional Chinese Medicine and Ethnic Medicine Resources, State Administration of Traditional Chinese Medicine, Xinjiang Institute of Traditional Chinese Medicine and Ethnic Medicine, Urumqi 830002, China  
张际昭 ZHANG Ji-zhao 新疆维吾尔自治区中药民族药研究所 国家中医药管理局新疆中药民族药资源重点研究室, 新疆 乌鲁木齐 830002 Xinjiang Key Laboratory of Traditional Chinese Medicine and Ethnic Medicine Resources, State Administration of Traditional Chinese Medicine, Xinjiang Institute of Traditional Chinese Medicine and Ethnic Medicine, Urumqi 830002, China  
王果平 WANG Guo-ping 新疆维吾尔自治区中药民族药研究所 国家中医药管理局新疆中药民族药资源重点研究室, 新疆 乌鲁木齐 830002 Xinjiang Key Laboratory of Traditional Chinese Medicine and Ethnic Medicine Resources, State Administration of Traditional Chinese Medicine, Xinjiang Institute of Traditional Chinese Medicine and Ethnic Medicine, Urumqi 830002, China  
赵亚琴 ZHAO Ya-qin 新疆维吾尔自治区中药民族药研究所 国家中医药管理局新疆中药民族药资源重点研究室, 新疆 乌鲁木齐 830002 Xinjiang Key Laboratory of Traditional Chinese Medicine and Ethnic Medicine Resources, State Administration of Traditional Chinese Medicine, Xinjiang Institute of Traditional Chinese Medicine and Ethnic Medicine, Urumqi 830002, China  
王威 WANG Wei 新疆农业科学院 农作物品种资源研究所,新疆 乌鲁木齐 830091 Institute of Crop Germplasm Resource, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China  
赵连佳 ZHAO Lian-jia 新疆农业科学院 农作物品种资源研究所,新疆 乌鲁木齐 830091 Institute of Crop Germplasm Resource, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China  
石书兵 SHI Shu-bing 新疆农业大学 农学院,新疆 乌鲁木齐 830052 College of Agronomy, Xinjiang Agricultural University, Urumqi 830052, China  
李晓瑾* LI Xiao-jin 新疆农业大学 农学院,新疆 乌鲁木齐 830052
新疆维吾尔自治区中药民族药研究所 国家中医药管理局新疆中药民族药资源重点研究室, 新疆 乌鲁木齐 830002
College of Agronomy, Xinjiang Agricultural University, Urumqi 830052, China
Xinjiang Key Laboratory of Traditional Chinese Medicine and Ethnic Medicine Resources, State Administration of Traditional Chinese Medicine, Xinjiang Institute of Traditional Chinese Medicine and Ethnic Medicine, Urumqi 830002, China
 
基金项目:财政部和农业农村部:国家现代农业产业技术体系资助项目;新疆维吾尔自治区天山英才第三期培养人选项目;农业农村部科技发展中心项目;新疆农业科学院青年科技骨干创新能力培养项目(xinkg-2023017)
中文摘要: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。
中文关键词:红花  指标成分  高效液相色谱法  指纹图谱  化学模式识别  质量评价
 
Quality Evaluation of Different Varieties of Safflower Based on Index Components and Multiple Pattern Recognition Method of Fingerprint
Abstract:Objective The index components of different varieties of safflower were determined, and fingerprints were established. Their quality was evaluated by the chemical recognition pattern method, and a method for comparing the quality of different varieties of safflower was established.Methods The contents of hydroxyl safflower yellow A (HSYA) and kaempferol in 32 batches of different varieties of safflower were determined by high performance liquid chromatography (HPLC). The similarity evaluation system for TCM chromatographic fingerprint (edition 2012) was used to evaluate the similarity of 32 batches of safflower samples. The cluster analysis was carried out by Origin 2022 software, and the principal component analysis was carried out by SIMCA 14.1 software.Results Only three batches of 32 safflower samples were detected without HSYA and kaempferol. The content of HSYA in the other 29 batches ranged from 0.4% to 2.5%, and the content of kaempferol ranged from 0.004% to 1.060%. A total of 16 common peaks were identified by HPLC fingerprints, and five components, such as tryptophan, HSYA, and 6-hydroxykaempferol-3-O-B-D-glucoside, were identified with similarities ranging from 0.510 to 0.936. The quality of different varieties of safflower was significantly varied.Conclusion By HPLC content determination, fingerprint establishment, and multi-pattern recognition, the quality differences of different varieties of safflower can be analyzed and compared. The research results provide potential breeding directions for different varieties of safflower and have important reference value for safflower breeding.
keywords:safflower  index component  HPLC  fingerprint  chemical pattern recognition  quality evaluation
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