Diabetes is one of the most frequent diseases, affecting 1 in 12 persons worldwide according to International Diabetes Federation, therefore improved methods of monitoring and screening are needed.
Stochastic sensors represent a promising candidate in early diagnosis due to their capacity to perform qualitative and quantitative analysis of multiple biomarkers.
For the determination of C-peptide, insulin, proinsulin, leptin, adiponectin and CRP the immunoassay techniques are routinely used in clinical practice, requiring diferite detection kits, therefore one of the main advantage in using this method consists in determining in one run all the analytes.
In this paper, stochastic microsensors based on new carbon materials were proposed for the assay of diabetes related biomarkers like: proinsulin, insulin, C-peptide, leptin, adiponectin, Zn, pyruvic and lactic acids and CRP in biological fluids like urine and serum samples.