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Universal response model for a corona charged aerosol detector
Joseph P Hutchinson1, Jianfeng Li, William Farrell
1Australian Centre for Research on Separation Science (ACROSS), School of Chemistry, Faculty of Science, Engineering and Technology, University of Tasmania, Private Bag 75, Hobart, Tas., 7001, Australia. Joseph.Hutchinson@utas.edu.au
A new model universally predicts Corona Charged Aerosol Detector (CoronaCAD) response for analytes in HPLC. This model accounts for analyte concentration and mobile phase, improving accuracy for unknown compound quantification.
Area of Science:
- Analytical Chemistry
- Chromatography
Background:
- The Corona Charged Aerosol Detector (CoronaCAD) is widely used for detecting non-volatile analytes.
- Understanding its response universality across different elution conditions is crucial for accurate quantification.
Purpose of the Study:
- To develop and validate a universal model for CoronaCAD response.
- To investigate the detector's response under flow-injection and gradient HPLC conditions.
- To enable accurate quantification of unknown compounds without individual standards.
Main Methods:
- A three-dimensional model was developed relating CoronaCAD response to analyte concentration and mobile phase composition.
- The model was trained using four non-volatile probe analytes across a range of concentrations (1μg/mL to 1mg/mL).
- The model was evaluated using 23 diverse analytes under flow-injection and gradient HPLC using acetonitrile/formic acid mobile phases.
Main Results:
- The model achieved an average error of 9.2% for training analytes.
- Evaluation under flow-injection and gradient HPLC showed average errors of 12.5% and 12.8%, respectively.
- The model successfully described analyte concentration-response relationships and corrected for non-linear gradient HPLC responses.
Conclusions:
- A universal model for CoronaCAD response has been established, applicable to both flow-injection and gradient HPLC.
- The model provides insights into factors influencing CoronaCAD response and aids in quantifying unknown compounds.
- The developed model enhances the accuracy and applicability of CoronaCAD in various chromatographic analyses.
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