QSPR-driven prediction of analyte permeability for advancing CP-MIMS applications

Key Points

• Analyte permeability is predicted using QSPR methods, leading to enhanced CP-MIMS applications.
• Key evidence includes predictive accuracy rates that improve detection capabilities for various analytes.
• Assessment using molecular descriptors and predictive modeling enables streamlined analysis in CP-MIMS applications.
• This model may enable better development in detection technologies; further validation needed.