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In this paper, an approach based on the principal component analysis technique (PCA) was applied to the determination of associated ionic liquid biosensor. By analyzing six parameters, the integrated system allows us to classify glucose biosensor. Data base of biosensors exploited contains several samples containing GoX, ionic liquids and nanotube of carbon ( NTC) . We present how can progress characteristics' of biosensors. We compare experimental biosensor fabrication based on glucosedoi:10.1016/j.procs.2016.04.220 fatcat:ipvis6jlljb5znrxyrdf6tontq