色谱
色譜
색보
CHINESE JOURNAL OF CHROMATOGRAPHY
2014年
8期
804-816
,共13页
张磊%曾仲大%叶国注%赵春霞%路鑫%许国旺
張磊%曾仲大%葉國註%趙春霞%路鑫%許國旺
장뢰%증중대%협국주%조춘하%로흠%허국왕
气相色谱-质谱%液相色谱-质谱%茶%代谢组学
氣相色譜-質譜%液相色譜-質譜%茶%代謝組學
기상색보-질보%액상색보-질보%다%대사조학
gas chromatography-mass spectrometry( GC-MS)%liquid chromatography-mass spectrometry( LC-MS)%tea%metabolomics
茶叶中的化学成分是构成其风味特征的物质基础。本研究建立了基于气相色谱-质谱联用和液相色谱-质谱联用的非靶向代谢组学方法。完成预处理及分析条件优化后,使用标准样品考察方法的线性、回收率及重复性,结果表明方法整体稳定且结果可靠。将该方法用于绿茶、乌龙茶和红茶中化学成分的分析。通过超声辅助溶剂提取及气相色谱-质谱联用分析共获得1812个特征峰,而使用加热溶剂提取及液相色谱-质谱联用分析可获得2608个特征峰。结合保留规律及质谱数据库,共定性173种化合物(109种随后经标准样品验证),其中只有9种化合物在上述两类分析中被同时检出,表明方法互补性良好。3类茶叶数据的偏最小二乘判别分析结果表明,三者间存在显著差异。结合模型的变量重要因子( VIP)与非参数检验共筛选出90种化合物,其中包含儿茶素、氨基酸、糖、有机酸和黄酮苷类等众多与茶叶滋味密切相关的化学成分。
茶葉中的化學成分是構成其風味特徵的物質基礎。本研究建立瞭基于氣相色譜-質譜聯用和液相色譜-質譜聯用的非靶嚮代謝組學方法。完成預處理及分析條件優化後,使用標準樣品攷察方法的線性、迴收率及重複性,結果錶明方法整體穩定且結果可靠。將該方法用于綠茶、烏龍茶和紅茶中化學成分的分析。通過超聲輔助溶劑提取及氣相色譜-質譜聯用分析共穫得1812箇特徵峰,而使用加熱溶劑提取及液相色譜-質譜聯用分析可穫得2608箇特徵峰。結閤保留規律及質譜數據庫,共定性173種化閤物(109種隨後經標準樣品驗證),其中隻有9種化閤物在上述兩類分析中被同時檢齣,錶明方法互補性良好。3類茶葉數據的偏最小二乘判彆分析結果錶明,三者間存在顯著差異。結閤模型的變量重要因子( VIP)與非參數檢驗共篩選齣90種化閤物,其中包含兒茶素、氨基痠、糖、有機痠和黃酮苷類等衆多與茶葉滋味密切相關的化學成分。
다협중적화학성분시구성기풍미특정적물질기출。본연구건립료기우기상색보-질보련용화액상색보-질보련용적비파향대사조학방법。완성예처리급분석조건우화후,사용표준양품고찰방법적선성、회수솔급중복성,결과표명방법정체은정차결과가고。장해방법용우록다、오룡다화홍다중화학성분적분석。통과초성보조용제제취급기상색보-질보련용분석공획득1812개특정봉,이사용가열용제제취급액상색보-질보련용분석가획득2608개특정봉。결합보류규률급질보수거고,공정성173충화합물(109충수후경표준양품험증),기중지유9충화합물재상술량류분석중피동시검출,표명방법호보성량호。3류다협수거적편최소이승판별분석결과표명,삼자간존재현저차이。결합모형적변량중요인자( VIP)여비삼수검험공사선출90충화합물,기중포함인다소、안기산、당、유궤산화황동감류등음다여다협자미밀절상관적화학성분。
Tea is one of the most widely consumed beverages in the world for its benefits to daily life and health. To discover the difference and correlation of chemical compositions in the three typical types of tea,a non-targeted metabolomics method was developed. After the optimization of extraction methods,gas chroma-tography-time-of-flight mass spectrometry and liquid chromatography-quadrupole time-of-flight mass spectrome-try were applied for metabolomics analysis,1 812 and 2 608 features were obtained,respectively. By comparing with the known compounds in public and/or commercial databases,173 compounds were tentatively identified, and 109 of them were experimentally confirmed by standards. Totally,33 tea samples including 12,12 and 9 samples of green,oolong and black tea,respectively,were analyzed by using the above two methods. Multiva-riate analysis,Mann-Whitney U test and hierarchical cluster analysis were used to find and visualize the differ-ential components in the three types of tea. Finally,90 compounds,which contain catechins,amino acids, organic acids,flavonol glycosides,alkaloids,carbohydrates,lipids,etc,were found with a significant differ-ence among them. This study demonstrates the potentials and power of metabolomics methods to understand the chemical secrets of tea. This should help a lot to optimize the processes of agriculture,storage,preparation and consumption.