Multicomponent analysis using an array of piezoelectric crystal sensors

An array of nine piezoelectric quartz crystals, each coated with a different partially selective coating material, was constructed for multicomponent analysis of organic vapors. The usefulness of this array was evaluated by quantitating known mixture samples in both two and three component cases using two calibration techniques, multiple linear regression (MLR) and partial least squares (PLS). With the use of microsensors, such as coated piezoelectric crystals, a high degree of collinearity between the sensors may exist, which has an effect on the regression results. In the two component cases, the PLS method yielded a 4- to 6-fold improvement in prediction capability over MLR. Although the individual sensors produce a 3-6% relative error in response, the average relative prediction error obtained when using an array of sensors and the PLS method was 4.6% in the two component cases, while in the three component case the effect of collinearity decreases prediction capability.

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