4.7 Article

Three-Dimensional Paper-Based Microfluidic Analysis Device for Simultaneous Detection of Multiple Biomarkers with a Smartphone

Journal

BIOSENSORS-BASEL
Volume 10, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/bios10110187

Keywords

paper-based microfluidic device; colorimetric; multiple detection; smartphone application

Funding

  1. BioNano Health-Guard Research Center as a Global Frontier Project [H-GUARD-2018M3A6B2057299]
  2. National Research Foundation(NRF) - Ministry of Science and ICT (MSIT) of Korea [2018R1A2B2002066]
  3. Ministry of Trade, Industry & Energy (MOTIE) of Korea [20012215]
  4. Korea Evaluation Institute of Industrial Technology (KEIT) [20012215] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  5. National Research Foundation of Korea [4199990313853, 2018R1A2B2002066] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Paper-based microfluidic analysis devices (mu PADs) have attracted attention as a cost-effective platform for point-of-care testing (POCT), food safety, and environmental monitoring. Recently, three-dimensional (3D)-mu PADs have been developed to improve the performance of mu PADs. For accurate diagnosis of diseases, however, 3D-mu PADs need to be developed to simultaneously detect multiple biomarkers. Here, we report a 3D-mu PADs platform for the detection of multiple biomarkers that can be analyzed and diagnosed with a smartphone. The 3D-mu PADs were fabricated using a 3D digital light processing printer and consisted of a sample reservoir (300 mu L) connected to 24 detection zones (of 4 mm in diameter) through eight microchannels (of 2 mm in width). With the smartphone application, eight different biomarkers related to various diseases were detectable in concentrations ranging from normal to abnormal conditions: glucose (0-20 mmol/L), cholesterol (0-10 mmol/L), albumin (0-7 g/dL), alkaline phosphatase (0-800 U/L), creatinine (0-500 mu mol/L), aspartate aminotransferase (0-800 U/L), alanine aminotransferase (0-1000 U/L), and urea nitrogen (0-7.2 mmol/L). These results suggest that 3D-mu PADs can be used as a POCT platform for simultaneous detection of multiple biomarkers.

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