Pattern recognition of adipokines in whole blood samples using stochastic sensing

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• 作者：Livia Alexandra Gugoasa ; Raluca-Ioana Stefan-van Staden…
• 刊名：Microsystem Technologies
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：22
• 期：1
• 页码：11-16
• 全文大小：700 KB
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• 作者单位：Livia Alexandra Gugoasa (1) (2)
  Raluca-Ioana Stefan-van Staden (1) (2)
  Octavia Cristina Rusu (3)
  
  1. Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021, Bucharest-6, Romania
  2. Faculty of Applied Chemistry and Material Science, Politehnica University of Bucharest, Bucharest, Romania
  3. University of Medicine and Pharmacy “Carol Davila”, Bucharest, Romania
  
• 刊物类别：Engineering
• 刊物主题：Electronics, Microelectronics and Instrumentation
  Nanotechnology
  Mechanical Engineering
  Operating Procedures and Materials Treatment
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1858

文摘

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.