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基于UPLC-Q-TOF MS技术结合化学计量学数据自动化解析的不同花期沙枣花成分分析
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作者单位
张佳妮,都青钰,汪兴财,刘嘉楠,马梦晗,马兴玲,赵娟娟,郭晓萌,张阳,于永杰 1. 宁夏医科大学 药学院宁夏 银川 750004 2. 浙江工业大学 化学工程学院浙江 杭州 310032 
基金项目:国家自然科学基金资助项目(21868028);宁夏回族自治区重点研发计划(2020BEG03039)
中文摘要:基于超高效液相色谱-串联飞行时间质谱(UPLC-Q-TOF MS)的非靶向代谢组学技术,结合课题组发展的化学计量学数据自动化解析方法(AntDAS),对沙枣花初花期、盛花始期、盛花期和盛花末期4个花期中的化合物进行了分析。沙枣花样品经70%甲醇-水超声提取30 min后,离心取上清液进行UPLC-Q-TOF MS分析采集化合物信息,经AntDAS解析后,共鉴定出19个差异性代谢物,其中12个化合物经对照品验证,可确定分别为L-赖氨酸、L-组氨酸、谷氨酰胺、L-蛋氨酸、L-酪氨酸、苯丙氨酸、L-色氨酸、N-甲基-L-脯氨酸、对羟基肉桂酸、水仙苷、反式阿魏酸、苦豆碱。利用主成分分析和层次聚类分析对不同花期的样本进行分析,结果均显示同花期的沙枣花样本聚集在一起,不同花期的沙枣花样本显示出明显区分。热图分析结果进一步表明不同花期沙枣花样本中的化合物含量存在较大差异,如沙枣花样本中多数氨基酸(如L-色氨酸、L-赖氨酸、L-组氨酸、L-酪氨酸、L-蛋氨酸)在盛花期和盛花末期中的含量高于初花期和盛花始期。该研究可为不同花期沙枣花的品质稳定性评估及后期开发应用提供依据,也为其他植物中复杂化学成分的分析提供了新的研究思路。
中文关键词:沙枣花  AntDAS软件  代谢组学  化学计量学  超高效液相色谱-串联飞行时间质谱(UPLC-Q-TOF MS)  成分分析
 
Component Analysis of Elaeagnus Angustifolia L. Flowers on Different Flowering Stages Based on UPLC-Q-TOF MS Technology Combined with Chemometric Data Analysis Strategy
Abstract:In this work,an ultrahigh performance liquid chromatography tandem time-of-flight mass spectrometry(UPLC-Q-TOF MS) with chemometric method of automatic untargeted data analysis software(AntDAS) was developed to analyze the flower samples of Elaeagnus angustifolia L..Flowers from four periods,i.e.initial bloom stage(25% of flowers),pre-full bloom stage(70%-80% of flowers),full bloom stage(100% of flowers) and the ending of the bloom stage(flowers began to wither) were collected at the location of Yinchuan,China.All samples were immediately placed into liquid nitrogen after collection,and transformed into the laboratory.Then,each flower sample was grounded to powder with a grinder.About 20 mg samples were weighted and put into a 2 mL tube,then added with 1.5 mL extraction solution(a mixture of methanol and water with volume ratio of 7∶3) to perform the metabolite extraction.A 30 min ultrasonic extraction was utilized,followed by a 15 min centrifugation at 13 000 r/min.Eventually,about 3 μL was injected into an AB SCIEX Triple TOF 5600 + MS instrument,which was connected with a Waters ACQUITY UPLC I-Class PLUS UPLC.Metabolites were separated with a chromatographic column of Waters ACQUITY UPLC BEH C18(2.1 mm × 100 mm,1.7 μm).The mobile phase consisted of water and acetonitrile,both of which were added with 0.1% formic acid.The acquired data files were directly imported into AntDAS for automatically performing extracted ion chromatogram(EIC) construction,EIC peak detection,and peak registration to screen features that show significant differences among various flowering stages.At last,compound identification was performed by the AntDAS on the basis of the screened features.A total of 19 metabolites were identified based on the above-mentioned data analysis workflow,among which 12 metabolites were further confirmed by standards,including L-lysine,L-histidine,glutamine,L-methionine,L-tyrosine,phenylalanine,L-tryptophan,N-methyl-L-proline,trans-4-coumaric acid,isorhamnetin-3-O-rutinoside,trans-ferulic acid and ormosanine.Results from both principal component analysis and hierarchical cluster analysis indicated that flowers of Elaeagnus angustifolia L.from different flowering stages can be clearly separated.The heatmap analysis suggested that compounds from various flowering stages show significantly different expression levels.For example,majority of amino acids(L-tryptophan,L-lysine,L-histidine,L-tyrosine and L-methionine) were expressed at higher levels during the full bloom and the ending of the bloom stages when compared with the initial bloom and the pre-full bloom stages.The study may be helpful for the quality evaluation of flowers of Elaeagnus angustifolia L..Additionally,the developed strategy provides a new solution for current plant-related research works.
Key Words:Elaeagnus angustifolia L. flowers  AntDAS software  metabolics  chemometrics  ultrahigh performance liquid chromatography tandem time-of-flight mass spectrometry(UPLC-Q-TOF MS)  component analysis
引用本文:张佳妮,都青钰,汪兴财,刘嘉楠,马梦晗,马兴玲,赵娟娟,郭晓萌,张阳,于永杰.基于UPLC-Q-TOF MS技术结合化学计量学数据自动化解析的不同花期沙枣花成分分析[J].分析测试学报,2022,41(8):1178-1184.
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