首页> 外文期刊>Food analytical methods >Analysis of cheese small molecules by UPLC-QToF-MS and multivariate statistical methods using several extraction procedures.
【24h】

Analysis of cheese small molecules by UPLC-QToF-MS and multivariate statistical methods using several extraction procedures.

机译:通过UPLC-QToF-MS和使用多种提取程序的多元统计方法分析干酪小分子。

获取原文
获取原文并翻译 | 示例
           

摘要

Lyophylized (L) and nonlyophylized (NL) samples of two cheeses from different batches were extracted with either methanol:water (8:2, v/v) or isopropanol:water (7:3, v/v), and the extracts were analyzed by ultraperformance liquid chromatography coupled with electrospray ionization/quadruple-time-of-flight mass spectrometry (UPLC-ESI-QToF-MS) in both positive and negative modes. Chromatographic and mass spectrometric data were further compared for different samples by paired t test and principal component analysis (PCA). Mass spectra at different elution times were manually checked and major peaks tentatively identified according to their m/z values by search in available databases. A number of gangliosides and polyglycosilated ceramides were found to be the most abundant components. PCA showed samples could be clustered according to extraction procedure and cheese, and paired t test comparison also showed significant (p<0.05) differences between L and NL samples extracted with methanol:water. L and NL samples could only be distinguished in PCA when data from the whole chromatographic range were used. Results are discussed based on extraction solvent polarity and feasibility of PCA for comparison of cheese chemical composition after untargeted UPLC-MS analysis. copyright Springer Science+Business Media New York 2013.
机译:用甲醇:水(8:2,v / v)或异丙醇:水(7:3,v / v)提取来自不同批次的两种干酪的冻干(L)和未冻干(NL)样品。通过超高效液相色谱与电喷雾电离/四倍飞行时间质谱(UPLC-ESI-QToF-MS)进行正向和负向分析。通过配对t检验和主成分分析(PCA),进一步比较了不同样品的色谱和质谱数据。手动检查不同洗脱时间的质谱图,并通过在可用数据库中搜索根据其m / z值初步确定主要峰。发现许多神经节苷脂和聚糖基化神经酰胺是最丰富的成分。 PCA显示样品可以根据提取步骤和干酪进行聚类,配对t检验比较还显示,甲醇和水提取的L和NL样品之间存在显着(p <0.05)差异。仅当使用来自整个色谱范围的数据时,才能在PCA中区分L和NL样品。根据萃取溶剂的极性和PCA的可行性讨论了结果,以比较无目标UPLC-MS分析后的干酪化学成分。版权所有Springer Science + Business Media纽约,2013年。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号