Literature DB >> 24499071

Analysis of low molecular weight metabolites in tea using mass spectrometry-based analytical methods.

Karl Fraser1, Scott J Harrison, Geoff A Lane, Don E Otter, Yacine Hemar, Siew-Young Quek, Susanne Rasmussen.   

Abstract

Tea is the second most consumed beverage in the world after water and there are numerous reported health benefits as a result of consuming tea, such as reducing the risk of cardiovascular disease and many types of cancer. Thus, there is much interest in the chemical composition of teas, for example; defining components responsible for contributing to reported health benefits; defining quality characteristics such as product flavor; and monitoring for pesticide residues to comply with food safety import/export requirements. Covered in this review are some of the latest developments in mass spectrometry-based analytical techniques for measuring and characterizing low molecular weight components of tea, in particular primary and secondary metabolites. The methodology; more specifically the chromatography and detection mechanisms used in both targeted and non-targeted studies, and their main advantages and disadvantages are discussed. Finally, we comment on the latest techniques that are likely to have significant benefit to analysts in the future, not merely in the area of tea research, but in the analytical chemistry of low molecular weight compounds in general.

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Year:  2014        PMID: 24499071     DOI: 10.1080/10408398.2011.619670

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  2 in total

1.  Analysis of Differentiated Chemical Components between Zijuan Purple Tea and Yunkang Green Tea by UHPLC-Orbitrap-MS/MS Combined with Chemometrics.

Authors:  Mengwan Li; Ying Shen; Tiejun Ling; Chi-Tang Ho; Daxiang Li; Huimin Guo; Zhongwen Xie
Journal:  Foods       Date:  2021-05-12

Review 2.  Current Advances in the Metabolomics Study on Lotus Seeds.

Authors:  Mingzhi Zhu; Ting Liu; Mingquan Guo
Journal:  Front Plant Sci       Date:  2016-06-20       Impact factor: 5.753

  2 in total

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