4.6 Article

Highly sensitive colorimetric detection of glucose and uric acid in biological fluids using chitosan-modified paper microfluidic devices

Journal

ANALYST
Volume 141, Issue 15, Pages 4749-4756

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/c6an00430j

Keywords

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Funding

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [448089/2014-9]
  2. Fundacao de Amparo a Pesquisa do Estado de Goias (FAPEG)
  3. National Institute of Science and Technology in Bioanalytics (INCTBio)
  4. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
  5. CAPES
  6. CNPq

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This paper describes the modification of microfluidic paper-based analytical devices (mu PADs) with chitosan to improve the analytical performance of colorimetric measurements associated with enzymatic bioassays. Chitosan is a natural biopolymer extensively used to modify biosensing surfaces due to its capability of providing a suitable microenvironment for the direct electron transfer between an enzyme and a reactive surface. This hypothesis was investigated using glucose and uric acid (UA) colorimetric assays as model systems. The best colorimetric sensitivity for glucose and UA was achieved using a chromogenic solution composed of 4-aminoantipyrine and sodium 3,5-dichloro-2-hydroxy-benzenesulfonate (4-AAP/DHBS), which provided a linear response for a concentration range between 0.1 and 1.0 mM. Glucose and UA were successfully determined in artificial serum samples with accuracies between 87 and 114%. The limits of detection (LODs) found for glucose and UA assays were 23 and 37 mu M, respectively. The enhanced analytical performance of chitosan-modified mu PADs allowed the colorimetric detection of glucose in tear samples from four nondiabetic patients. The achieved concentration levels ranged from 130 to 380 mu M. The modified mu PADs offered analytical reliability and accuracy as well as no statistical difference from the values achieved through a reference method. Based on the presented results, the proposed mu PAD can be a powerful alternative tool for non-invasive glucose analysis.

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