Supercharge Your Innovation With Domain-Expert AI Agents!

A Method for Predicting Retention Time in Gradient Elution Mode of Reversed-Phase High Performance Liquid Chromatography

A reversed-phase high-efficiency liquid phase and retention time technology, applied in the field of liquid chromatography, can solve the problems of too many parameters and low practicability, and achieve the effect of simple prediction process and improved accuracy

Inactive Publication Date: 2014-10-15
TIANJIN UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] According to research and literature retrieval, the retention models currently used at home and abroad are mainly divided into two categories: one is a more rigorous model, which tries to describe the retention process accurately, but due to too many parameters, the practicability is very low; One is the simple and practical type, which is often used in the optimization of isogradient or gradient elution modes. There are two-parameter models, three-parameter models and four-parameter models, etc. These models can only give a simple description of the retention process

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method for Predicting Retention Time in Gradient Elution Mode of Reversed-Phase High Performance Liquid Chromatography
  • A Method for Predicting Retention Time in Gradient Elution Mode of Reversed-Phase High Performance Liquid Chromatography
  • A Method for Predicting Retention Time in Gradient Elution Mode of Reversed-Phase High Performance Liquid Chromatography

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0091] Instrument: high performance liquid chromatography: Agilent1200HPLC. Equipped with online degassing device, its model is: G1379A DEGASSER serial#JP1321086; pump model: G1311AQuatPumpserial#DE33224312; G1313A ALS DE33223289; autosampler model: G1313A; UV-Vis detector model: G131413VWD.

[0092] Chromatographic column: reversed phase column model: SUPELCO C18, HPLC Column BL: 6580, 25 cm x 4.6 mm, 5 μm.

[0093] Conditions: room temperature 21-25°C, quantitative detection wavelength: 268nm; flow rate: 0.7ml / min.

[0094] Solvent: Gradient elution is done with two solvents. Solvent A: 0.1% formic acid aqueous solution; Solvent B: methanol.

[0095] Gradient elution conditions: injection volume: 10μl;

[0096] 1st order gradient elution condition: (0,20)→(2,10)→(17,100)→(20,100), where the abscissa represents the time (min), and the ordinate represents the volume fraction of the organic modifier (methanol) ( %).

[0097] Determination of dead time of chromatographic ...

Embodiment 2

[0106] The process and condition of the present embodiment are identical with embodiment 1, and difference is:

[0107] Elution condition: 2-step gradient elution condition: (0,20)→(2,20)→(22,40)→(30,65)→(32,65).

[0108] Selected compounds: sulfamethazine (SDD), sulfamethoxypyridazine (SMP) and sulfamethoxazole (SMZ).

[0109] (1) Determine the retention times of the three compounds under different isocratic conditions, as shown in the table below:

[0110]

[0111] The fitting results of the retention equation are shown in the table below:

[0112]

[0113] (2) Predict retention time.

[0114]

Embodiment 3

[0116] The process and condition of the present embodiment are identical with embodiment 1, and difference is:

[0117] Elution conditions: 3-step gradient elution conditions: (0,20)→(2,20)→(8,28)→(18,28)→(28,78)→(32,78).

[0118] Selected compounds: sulfachloropyridazine (SCP), sulfaquinoxaline (SQ) and sulfachloropyrazine sodium (SPZ).

[0119] (1) Determine the retention times of the three compounds under different isocratic conditions, as shown in the table below:

[0120]

[0121]

[0122] The fitting results of the retention equation are shown in the table below:

[0123]

[0124] (2) Predict retention time.

[0125]

[0126] In summary, the above three examples have verified that the method can predict the retention time under any gradient condition with high precision, and the prediction process is simple.

[0127] Those skilled in the art can understand that the accompanying drawing is only a schematic diagram of a preferred embodiment, and the serial n...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for predicting retention time of a gradient elution mode of a reversed-phase high-performance liquid chromatography. The method comprises the following steps of: acquiring a retention equation of a relationship of a description mobile phase composition and capacity factors; carrying out approximate treatment on a linear multi-stage gradient elution condition by using a plate theory; acquiring a starting volume fraction in the ith-stage gradient elution and a corresponding retention factor ki; acquiring the concentration of a compound to be measured in a mobile phase through the starting volume fraction and the corresponding retention factor ki; and calculating the retention time of the compound to be measured according to the concentration of the compound to be measured in the mobile phase. The method can predict the retention time under any gradient condition with high precision; the prediction process is simple; the feasibility of the method is verified through three embodiments; and moreover, when the residence time of an instrument is considered for the retention time, the precision of the retention time is further improved.

Description

technical field [0001] The invention relates to liquid chromatography technology, in particular to a method for predicting the retention time of gradient elution mode of reversed-phase high performance liquid chromatography. Background technique [0002] Reversed-phase high-performance liquid chromatography is a chromatographic mode with a wide range of applications in liquid chromatography. The isocratic elution technique is a relatively simple elution method applied in the field of liquid chromatography. However, when the polarity of the components contained in the sample is very different, if the elution ability of the mobile phase is relatively weak, the elution time of the components with strong retention ability is very long, resulting in serious broadening of the chromatographic peaks and a significant decrease in peak height. Sensitivity decreases; if the elution ability of the mobile phase is relatively strong, the components with weak retention ability will be elu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01N30/86
Inventor 范国樑陈硕文强龚彩荣
Owner TIANJIN UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com