Self-Powered Paper-Based ‘SPEDs’ May Lead to New Medical-Diagnostic Tools
August 23, 2017 | Purdue UniversityEstimated reading time: 3 minutes

A new medical-diagnostic device made out of paper detects biomarkers and identifies diseases by performing electrochemical analyses - powered only by the user’s touch - and reads out the color-coded test results, making it easy for non-experts to understand.
This new paper-based diagnostic device detects biomarkers and identifies diseases by performing electrochemical analyses, and the assays change color to indicate specific test results. The device can plug into a handheld potentiostat, at left, to automate the diagnostic tests so that they can be performed by untrained users. (Purdue University photo/Aniket Pal)
“You could consider this a portable laboratory that is just completely made out of paper, is inexpensive and can be disposed of through incineration,” said Ramses V. Martinez, an assistant professor of industrial and biomedical engineering at Purdue University. “We hope these devices will serve untrained people located in remote villages or military bases to test for a variety of diseases without requiring any source of electricity, clean water, or additional equipment.”
The self-powered, paper-based electrochemical devices, or SPEDs, are designed for sensitive diagnostics at the “point-of-care,” or when care is delivered to patients, in regions where the public has limited access to resources or sophisticated medical equipment.
“SPEDs are inexpensive, lightweight, flexible and easy to use,” Martinez said.
The test is initiated by placing a pinprick of blood in a circular feature on the device, which is less than two-inches square. SPEDs also contain “self-pipetting test zones” that can be dipped into a sample instead of using a finger-prick test.
The top layer of the SPED is fabricated using untreated cellulose paper with patterned hydrophobic “domains” that define channels that wick up blood samples for testing. These “microfluidic channels” allow for accurate assays that change color to indicate specific testing results. A machine-vision diagnostic application also was created to automatically identify and quantify each of these “colorimetric” tests from a digital image of the SPED, perhaps taken with a cellphone, to provide fast diagnostic results to the user and to facilitate remote-expert consultation.
The bottom layer of the SPED is a “triboelectric generator,” or TEG, which generates the electric current necessary to run the diagnostic test simply by rubbing or pressing it. The researchers also designed an inexpensive handheld device called a potentiostat, which is easily plugged into the SPED to automate the diagnostic tests so that they can be performed by untrained users. The battery powering the potentiostat can be recharged using the TEG built into the SPEDs.
“To our knowledge, this work reports the first self-powered, paper-based devices capable of performing rapid, accurate, and sensitive electrochemical assays in combination with a low-cost, portable potentiostat that can be recharged using a paper-based TEG,” Martinez said.
He co-authored the paper with graduate students Aniket Pal and Debkalpa Goswami; visiting scholars Hugo E. Cuellar and Heloisa F. N. Caurin; and Randy Kuang, a high school student who participated in the research.
The research paper describes the SPEDs, the portable potentiostat and a machine-vision algorithm that is able to recognize the color-coded information. The paper is available online.
SPEDs are compatible with mass-printing technologies, such as roll-to-roll printing or spray deposition. They can perform “multiplexed” analyses enabling the highly sensitive and accurate detection of various targets for a range of point-of-care testing applications. And they can be used to power other electronic devices to facilitate telemedicine applications in resource-limited settings.
The SPEDs were used to detect biomarkers such as glucose, uric acid and L-lactate, ketones, and white blood cells, which indicate factors related to liver and kidney function, malnutrition and anemia. Future versions of the technology will contain several additional layers for more complex assays to detect diseases such as dengue fever, yellow fever, malaria, HIV and hepatitis, Martinez said.
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