A nonlinear regression model applied to kinetic multi-component analysis of esters with a SAW-impedance sensor

A kinetic nonlinear regression model for multi-component assay of esters was proposed based on their different alkaline-catalysed hydrolysis rate. The reaction rate was determined by monitoring the conductance change in solution with a liquid-purpose surface acoustic wave impedance sensor(SAW). The model was tested theoretically and experimentally with the mixture of methyl acetate and n-propyl acetate. The experimental detection limit of methyl acetate and n-propyl acetate (within 10 min) was 0.5 μmol/L and 1.0 μmol/L respectively and the recovery of the sensor system ranged from 93% to 106% (n=6).