Proteomics can be carried out, currently, exactly only by means of mass spectrometry (MS). However, this should be carried out within the framework of our own authored (mine and my co-author's theory according to the shown authorship, below) innovative stochastic dynamic theory and model formulas. They have been tested, so far, studying analytes in mixture at pg.(mL)-1 and ng.(L)-1 concentration levels. The linear correlation between theory and experiment shows coefficients /r/ = 0.99997-1. The method is validated by means of chromatographic analyses, as well.
Please consider references [1,2].
[1] Stochastic Dynamic Mass Spectrometric Approach to Quantify Reserpine in Solution; Bojidarka Ivanova, Michael Spiteller
Analytical Chemistry Letters, 10 (2020) 703-721; Received 13 Oct 2020, Accepted 16 Dec 2020, Published online: 28 Jan 2021
Stochastic dynamic mass spectrometric quantification of steroids in mixture — Part II; Bojidarka Ivanova, Michael Spiteller
Furthermore, our model formulas provide exact 3D structural information of the analytes mass spectrometrically, when the MS experiment is correlated with high accuracy quantum chemical data.
In other words, via our theory and model equations there is not only quantified analytes exactly by means of mass spectrometry, but also there is obtained exact 3D molecular conformation and electronic structures of these analytes.
Moreover, our method is applicable to set of different MS ionization methods and condensed phases.
Please, consider reference [3] in the latter context.
[3] Bojidarka Ivanova und Michael Spiteller
A stochastic dynamic mass spectrometric diffusion method and its application to 3D structural analysis of the analytes; Reviews in Analytical Chemistry, 38 (2019) 20190003; DOI: https://doi.org/10.1515/revac-2019-0003