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Pattern recognition of adipokines in whole blood samples using stochastic sensing

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Abstract

Stochastic microsensors based on carbon matrices and three types of electroactive materials (maltodextrin, α-cyclodextrin and 5,10,15,20-tetraphenyl-21H,23H porphyrin) were proposed for the pattern recognition of adipokines (interleukin-6, leptin and PAI-1), in whole blood samples. The main advantages of this method are: the blood samples were analyzed as taken from patients, without any pretreatment, short time of analysis (30 min), high sensitivity, and low determination levels. The proposed stochastic microsensors provide a qualitative, as well as a quantitative analysis for the simultaneous assay of adipokines (interleukin-6, leptin and PAI-1). The linear concentration ranges were between 10−15 and 10−6 g/mL and the lowest limit of determination was 1 pg/mL when the stochastic microsensors based on graphene and diamond paste modified with 5,10,15,20-tetraphenyl-21H,23H porphyrin were used.

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Acknowledgments

This work was supported by UEFISCDI PNII Program Ideas 2011-2014, Contract nr. 123/05.10.2011. Livia Alexandra Gugoasa thanks for the financial support of the Sectorial Operational Programme Human Resources Development 2007–2013 of the Ministry of European Funds through the Financial Agreement POSDRU/159/1.5/S/134398.

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Authors and Affiliations

  1. Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021, Bucharest-6, Romania

    Livia Alexandra Gugoasa & Raluca-Ioana Stefan-van Staden

  2. Faculty of Applied Chemistry and Material Science, Politehnica University of Bucharest, Bucharest, Romania

    Livia Alexandra Gugoasa & Raluca-Ioana Stefan-van Staden

  3. University of Medicine and Pharmacy “Carol Davila”, Bucharest, Romania

    Octavia Cristina Rusu

Authors
  1. Livia Alexandra Gugoasa
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  2. Raluca-Ioana Stefan-van Staden
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  3. Octavia Cristina Rusu
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Correspondence to Raluca-Ioana Stefan-van Staden.

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Gugoasa, L.A., Stefan-van Staden, RI. & Rusu, O.C. Pattern recognition of adipokines in whole blood samples using stochastic sensing. Microsyst Technol 22, 11–16 (2016). https://doi.org/10.1007/s00542-015-2628-y

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  • DOI: https://doi.org/10.1007/s00542-015-2628-y

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