Citation: Li Mingzhu, Na Ping, Qiao Bin. Application of Model and Statistics in Liquid Chromatography Development[J]. Chemistry, ;2019, 82(12): 1073-1078. shu

Application of Model and Statistics in Liquid Chromatography Development

School of chemical engineering and technology, Tianjin university, Tianjin 300350

Corresponding author: Qiao Bin, jobin@tju.edu.cn
Received Date: 5 June 2019
Accepted Date: 30 September 2019

High performance liquid chromatography (HPLC) is the most commonly used technique in separation and analysis at present. The classification and selection of columns are the important parts of analytical method development and validation. In this paper, the recent progresses in the application of mathematical models and statistical method in chromatographic development are reviewed. The improvement and application of HPLC column characterization databases and quantitative structure-retention relationship model are summarized. The progresses in computer technology used in HPLC development, the HPLC column classification system applied in column selection and ultrahigh pressure liquid chromatography column characterization model are also introduced. In addition, the future prospects for application of computer technology combined with molecular simulation and artificial neural network in HPLC development are expected.
- HPLC column characterization databases,
- Quantitative structure-retention relationships,
- Column selection
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