Thesis
Fabrication of paper-based microfluidic electroanalytical device for chemicals detection
Washington State University
Master of Science (MS), Washington State University
2018
Handle:
https://hdl.handle.net/2376/102075
Abstract
Lab-on-paper has been drawing great attention since the past decade as paper has proven to be a promising substrate material for analytical and bio analytical devices. That is due to its permeable nature, low economical and environmental cost, and lightweight. Moreover, the fabrication techniques used to develop paper-based microfluidic device are cheap when compared to other common substrates such as glass and silicon. In this work, a unique method of integrating microfluidics and electronics on paper was adapted to create a paper-based energy-storage system that could be exploited to sense and measure chemicals. The main fabrication method used in this experiment was wax printing due to the availability of wax printer, ease of use, and timesaving fabrication process. Mainly, printing wax on paper creates hydrophobic barriers that, in turn, define microfluidic hydrophilic channels. Water-dispersed multiwall carbon nanotubes (MWCNTs) was prepared in the form of conductive ink in order to coat the paper's cellulosic fibers, without blocking the pores, and thus form electro-fluidic structures. The electrochemical behavior of MWCNTs is similar to that of the grapheme flakes, which allows deploying those electro-fluidic structures as electrodes. These capabilities has led to successfully form an electrochemical cell by attaching layers of paper on top of each other in order to enable vertical flow. Cyclic voltammetry (CV) was recorded on the cell and the results showed that the device was actually a double-layer supercapacitor. The device then proved it could deliver quantitative analysis without calibration by successfully detecting analytes of interest such as hydrogen peroxide and glucose.
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Details
- Title
- Fabrication of paper-based microfluidic electroanalytical device for chemicals detection
- Creators
- Motaz Saied Shamsan
- Contributors
- Lei Li (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Mechanical and Materials Engineering, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525035601842
- Language
- English
- Resource Type
- Thesis