Hello, here I have a question of how to analyze two different time point metabolomics data. eg, dataset 1 was done in June, and dataset 2 was done in October. What kind of methods should I used to complare these two datasets? Or they can not complare even use some analytical methods? Looking forward to your response. Thank you.
Mr. Zhang,
The method of mass spectrometry (MS) provides only unambiguous even exact qualitative, quantitative and 3D structural information about the analytes; furthermore operating at fmol to attomol analytical concentrations.
Owing to the fact that the MS provides selective, sensitive, accurate and precise analysis encompasses determination of analytes in complex multicomponent mixtures, including living systems and in vivo assay, without a doubt this is the method of choice for metabolomics.
In context, available mass spectrometric methods for data-processing of MS outcomes, our most recently developed stochastic dynamic method and innovative model equations are those providing exact analytical qualitative, quantitative and 3D structural information about the analytes. Chemometric analysis between experiment and theory reported, so far, shows coefficients of correlations up to /r/ = 1 at ng.(L)-1 and pg.(mL)-1 analytical concentrations (or exact determination in statistical terms.)
Please, consider reference [1] and the corresponding reference section cited, therein.
Since, the method is our authored; as well as, it is an innovative concept for treatment of mass spectrometric experimental variables, if you have any questions regarding its direct application to your datasets, then do not hesitate to ask us, herein, and we shall provide to you most accurate guidelines for direct application. Furethermore, there should be possible to focus the attention of a broad audience on the real capability of the mass spectrometry and its irreplaceable application to the analytical practice.
Moreover, within the framework of our concept, theory and model formulas the capability of the MS for application to 3D structural analysis is dramatically increased, far beyond its current use to the practice, mainly for quantitative purposes.
In other words, by means of our stochastic dynamic concept shown in reference [1], you not only shall carry out a precise, selective, sensitive and accurate metabolomics, but also there is able to determine the exact 3D structure of your analytes.
[1] Steroids, 164 (2020) 108750
Stochastic dynamic mass spectrometric quantification of steroids in mixture — Part II; Bojidarka Ivanova, Michael Spiteller
In particular, the application of our approach to only 3D structural analysis of molecules, you could focus your attention on our review-article [2], as well.
[2] Reviews in Analytical Chemistry, Band 38: Heft 2 (2019)
A stochastic dynamic mass spectrometric diffusion method and its application to 3D structural analysis of the analytes; Bojidarka Ivanova, Michael Spiteller
Bojidarka B. Ivanova Thank you very much. I will learn the papers which you recommended.
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