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Abstract
Since diabetes is considered to be both a chronic pathology and an inflammatory disease involving interleukins, the present paper proposes the molecular recognition of interleukins 1β, 6, 12, and 17 from whole blood samples taken from patients with type 1 and type 2 diabetes using stochastic microsensors. Three stochastic microsensors based on diamond paste modified with three types of chitosan (given by the degree of polymerization) were designed and characterized for the molecular recognition of the four interleukins in whole blood samples. Different signatures obtained for the interleukins showed that they can be simultaneous assayed in whole blood samples. The highest sensitivity was recorded for the microsensor based on the chitosan with the lowest degree of polymerization (4.85 x 105 s−1/µg mL−1) for the assay of IL-12. The broadest concentration range was obtained for the microsensor based on the chitosan with the highest degree of polymerization when interleukins 1β, 6, 12, and 17 were assayed. The lowest quantification limit was recorded for two microsensors based on the chitosan with the lowest and the highest degree of polymerization (4.00 fg mL−1) when interleukin 6 was analyzed. The concentrations of interleukins 1β, 6, 12, and 17 were reliably determined in whole blood samples following their molecular recognition.