Common mathematical-physical essence involved from chromatographic separation to intelligent medicine: irreversibility

• Published in: Sepu Vol. 37; no. 4; p. 367
• Main Authors: Liang, Heng, Luo, Yuanyuan
• Format: Journal Article
• Language: Chinese
• Published: China 08.04.2019
• Subjects: disease states; nonequilibrium thermodynamics; artificial intelligence (AI); review; evidence-based medicine (EBM); mathematical framework; nonequilibrium thermodynamic separation theory (NTST); irreversibility
• ISSN: 1000-8713
• DOI: 10.3724/SP.J.1123.2018.12008

The chromatographic separation processes for many molecules in solute bands by stationary phase-mobile phase separation can be compared to ordering disease severity. The common features of chromatographic processes and machine-disease diagnosis-doctor's advice is the separation (classification) of components (individual disease states), both of which show irreversibility of time evolution; however, the former is caused by linear non-equilibrium thermodynamics and latter by nonlinear non-equilibrium thermodynamics (dissipative structure). When the scientific view is extended from drug detection and preparation to evidence-based medicine (EBM), discrete mathematics (axiomatic set theory and probability measure), and artificial intelligence (AI) cloud computing, the convection-diffusion equation and irreversibility in non-equilibrium thermodynamics form a common and core essence of mathematical physics that crosses fields of chromatographic separation and intelligent medicine. It is of profound scientific and practical significance to construct and develop a unified and all-encompassing mathematical framework by incorporating the generality and characteristics of the two subjects.