Literature DB >> 23356998

Integrating solid-state sensor and microfluidic devices for glucose, urea and creatinine detection based on enzyme-carrying alginate microbeads.

Yen-Heng Lin1, Shih-Hao Wang, Min-Hsien Wu, Tung-Ming Pan, Chao-Sung Lai, Ji-Dung Luo, Chiuan-Chian Chiou.   

Abstract

A solid-state sensor embedded microfluidic chip is demonstrated for the detection of glucose, urea and creatinine in human serum. In the presented device, magnetic powder-containing enzyme-carrying alginate microbeads are immobilized on the surface of an electrolyte-insulator-semiconductor (EIS) sensor by means of a step-like obstacle in the microchannel and an external magnetic force. The sample is injected into the microchannel and reacts with the enzyme contained within the alginate beads; prompting the release of hydrogen ions. The sample concentration is then evaluated by measuring the resulting change in the voltage signal of the EIS sensor. The reaction time and alginate bead size are optimized experimentally using a standard glucose solution. The experimental results show that the device has a detection range of 2-8mM, 1-16mM and 10(-2)-10mM for glucose, urea and creatinine, respectively. Furthermore, it is shown that the device is capable of sequentially measuring all three indicators in a human serum sample. Finally, it is shown that the measured values of the glucose, urea and creatinine concentrations obtained using the device deviate from those obtained using a commercial kit by just 5.17%, 6.22% and 13.53%, respectively. This method can be extended to sequentially measure multiple blood indicators in the sample chip by replacing different types of enzyme in alginate bead and can address the enzyme preservation issue in the microfluidic device. Overall, the results presented in this study indicate that the microfluidic chip has significant potential for blood monitoring in point-of-care applications.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23356998     DOI: 10.1016/j.bios.2012.12.053

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  11 in total

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Authors:  Yu-An Yang; Che-Hsin Lin
Journal:  Biomicrofluidics       Date:  2015-03-20       Impact factor: 2.800

2.  Remote calorimetric detection of urea via flow injection analysis.

Authors:  David E Gaddes; Melik C Demirel; W Brian Reeves; Srinivas Tadigadapa
Journal:  Analyst       Date:  2015-12-07       Impact factor: 4.616

Review 3.  Applications of microfluidics and microchip electrophoresis for potential clinical biomarker analysis.

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4.  Optical fiber LPG biosensor integrated microfluidic chip for ultrasensitive glucose detection.

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Journal:  Biomed Opt Express       Date:  2016-04-28       Impact factor: 3.732

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Journal:  Sex Transm Dis       Date:  2017-04       Impact factor: 2.830

Review 6.  EGFET-Based Sensors for Bioanalytical Applications: A Review.

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Journal:  Sensors (Basel)       Date:  2018-11-20       Impact factor: 3.576

7.  An Electromechanical Lab-on-a-Chip Platform for Colorimetric Detection of Serum Creatinine.

Authors:  Betul Karakuzu; Ergun Alperay Tarim; Cemre Oksuz; H Cumhur Tekin
Journal:  ACS Omega       Date:  2022-07-15

8.  Development and Validation of a Virtual Gelatin Model Using Molecular Modeling Computational Tools.

Authors:  Lukasz Radosinski; Karolina Labus; Piotr Zemojtel; Jakub W Wojciechowski
Journal:  Molecules       Date:  2019-09-16       Impact factor: 4.411

Review 9.  Capacitive Field-Effect EIS Chemical Sensors and Biosensors: A Status Report.

Authors:  Arshak Poghossian; Michael J Schöning
Journal:  Sensors (Basel)       Date:  2020-10-02       Impact factor: 3.576

10.  Towards Multi-Analyte Detection with Field-Effect Capacitors Modified with Tobacco Mosaic Virus Bioparticles as Enzyme Nanocarriers.

Authors:  Melanie Welden; Arshak Poghossian; Farnoosh Vahidpour; Tim Wendlandt; Michael Keusgen; Christina Wege; Michael J Schöning
Journal:  Biosensors (Basel)       Date:  2022-01-14
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