Citation: LIANG Heng, LUO Yuanyuan. Common mathematical-physical essence involved from chromatographic separation to intelligent medicine: irreversibility[J]. Chinese Journal of Chromatography, ;2019, 37(4): 367-375. doi: 10.3724/SP.J.1123.2018.12008 shu

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

LIANG Heng ,
LUO Yuanyuan

The Key Laboratory of Biomedical Information Engineering of Education Ministry, Separation Science Institute, Xi'an Jiaotong University, Xi'an 710049, China

Received Date: 5 December 2018

Fund Project: National Natural Science Foundation of China (No. 21377102)

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.
- nonequilibrium thermodynamic separation theory (NTST),
- nonequilibrium thermodynamics,
- irreversibility,
- evidence-based medicine (EBM),
- artificial intelligence (AI),
- disease states,
- mathematical framework,
- review
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