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- W4245398927 abstract "A multivariate data analysis, partial least-squares regression (PLS) was performed on chronoamperometric data. These data were obtained using a disposable screen-printed NAD+-dependent dehydrogenase biosensor suited to determine propionaldehyde concentration. The influence of several data pre-treatments on prediction ability of the built PLS models was studied. Propionaldehyde determination was efficiently achieved for concentrations ranging from 0.2 to 1.2 mM using a model with six significant latent variables. Treatment of the overall chronoamperometric data (using PLS regression) compared to regression on a single data point of chronoamperograms improved substrate determination reliability: the overall coefficient of variation for the determination of propionaldehyde was reduced from 33 to 15%. This study opened up opportunities for further developments of disposable sensors for field use." @default.
- W4245398927 created "2022-05-12" @default.
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- W4245398927 date "2004-05-01" @default.
- W4245398927 modified "2023-10-04" @default.
- W4245398927 title "Chemometric analysis of screen-printed biosensor chronoamperometric responses" @default.
- W4245398927 doi "https://doi.org/10.1016/s0925-4005(04)00210-2" @default.
- W4245398927 hasPublicationYear "2004" @default.
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