Comparison between ZenoTOF 7600 system and QTOF for plant metabolome: an example of metabolomics applied to coffee leaves.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Andrea Montis, Victoria Paredes-Orejudo, Axelle Bourez, Jack Steed, Piet Stoffelen, Cedric Delporte, Florence Souard, Jianru Stahl-Zeng, Pierre Van Antwerpen
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引用次数: 0

Abstract

Introduction: ZenoTOF is new class of high-resolution mass spectrometer that combines resolution and sensitivity. This mass spectrometer is well designed to perform metabolomics.

Methods: In this context, we compared the performance of ZenoTOF 7600 system (Sciex) with QTOF6520 (Agilent Technologies) through the leaf metabolome analysis of two Coffea species, namely C. anthonyi and C. arabica.

Results: Both species were used to compare both TOF systems. Our results showed that the ZenoTOF 7600 system provided more features (3146 vs 2326 metabolites) and more nodes (1410 vs 379 metabolites) by molecular network in only one injection.

Conclusion: These performances were attributed to the scan speed and sensitivity of the ZenotTOF and demonstrates its added value in the context of metabolomics.

ZenoTOF 7600系统与QTOF系统在植物代谢组学研究中的比较:以咖啡叶代谢组学为例。
介绍:ZenoTOF是一种集分辨率和灵敏度于一体的新型高分辨率质谱仪。这种质谱仪设计得很好,可以执行代谢组学。方法:在此背景下,我们通过对两种咖啡,即C. anthonyi和C. arabica的叶片代谢组分析,比较了ZenoTOF 7600系统(Sciex)和QTOF6520系统(Agilent Technologies)的性能。结果:两种物种用于比较两种TOF系统。我们的研究结果表明,ZenoTOF 7600系统在一次注射中通过分子网络提供了更多的特征(3146个代谢物比2326个代谢物)和更多的节点(1410个代谢物比379个代谢物)。结论:这些性能归功于ZenotTOF的扫描速度和灵敏度,并显示了其在代谢组学背景下的附加价值。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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