Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
RANDOX LABORATORIES

Download Mobile App




Three Dimensional Paper Sensor Could Test for Disease

By LabMedica International staff writers
Posted on 15 Mar 2012
Origami-inspired paper sensor could test for malaria and Human Immunodeficiency Virus (HIV) for less than USD 0.10. More...
Sensors can be printed out on an office printer, and take less than a minute to assemble.

These low-cost, "point-of-care" sensors could be useful in the developing world, where resources are often lacking to pay for lab-based tests, and where, even if the money is available, there infrastructure does not exist to transport biological samples to the lab.

Inspired by the paper-folding art of origami, chemists at The University of Texas at Austin (Texas; USA) have developed a 3-D paper sensor that may be able to test for diseases such as malaria and HIV.

One-dimensional paper sensors, such as those used in pregnancy tests, are already common but have limitations. The folded, 3-D sensors, developed by Richard Crooks, the Robert A. Welch professor of chemistry and doctoral student Hong Liu, can test for more substances in a smaller surface area and provide results for more complex tests.

"Anybody can fold them up," said Prof. Crooks. "You don't need a specialist, so you could easily imagine an [non-governmental organization] NGO with some volunteers folding these things up and passing them out. They're easy to produce as well, so the production could be shifted to the clientele as well. They don't need to be made in the developed world."

Prof. Crooks said that the principles underlying the sensor, which have been successfully tested on glucose and a common protein, are related to the home pregnancy test. A hydrophobic material, such as wax or photo resist, is laid down into tiny canyons on chromatography paper. It channels the sample to be tested—urine, blood, or saliva, for instance—to spots on the paper where test reagents have been embedded.

If the sample has whatever targets the sensor is designed to detect, it will react in an easily detectable manner. It might turn a specific color for example or fluoresce under a UV light. Then it can be read by eye.

Related Links:

The University of Texas at Austin



Gold Member
STI Test
Vivalytic MG, MH, UP/UU
Online QC Software
Acusera 24•7
Japanese Encephalitis Test
Japanese Encephalitis Virus Real Time PCR Kit
Automatic CLIA Analyzer
Shine i6000
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: Researchers use a novel immobilized liposome-bound gel beads method to measure CEC levels and their association with cardiovascular risks (Photo courtesy of Institute of Science Tokyo)

Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features

Unstable coronary plaques are difficult to identify before they trigger acute cardiovascular events. Standard high-density lipoprotein (HDL) measurements do not always capture how well HDL particles function... Read more

Pathology

view channel
Image: Overview of the uncertainty-aware lensfree computational pathology platform for automated HER2 assessment. A compact lensfree holographic imaging system captures diffraction patterns from immunohistochemically stained breast tissue samples, which are computationally reconstructed and analyzed using deep neural networks with Bayesian uncertainty quantification. (Photo courtesy of Ozcan Lab, UCLA)

Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer

Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.