Using a Smartphone to Detect Norovirus

A little bit of norovirus - the highly infectious microbe that causes about 20 million cases of food poisoning in the United States each year - goes a long way. Just 10 particles of the virus can cause illness in humans. A team of University of Arizona researchers has created a simple, portable and inexpensive method for detecting extremely low levels of norovirus.

Jeong-Yeol Yoon, a researcher in the Department of Biomedical Engineering; Soo Chung, a biosystems engineering doctoral student who works in Yoon's Biosensors Lab; and Kelly A. Reynolds, Chair of the Department of Community, Environment and Policy in the Mel & Enid Zuckerman College of Public Health, led the project. The team published their results in ACS Omega, the official journal of the American Chemical Society, and Yoon is presenting the research at the ACS Fall 2019 National Meeting & Exposition in San Diego this week.

"Advances in rapid monitoring of human viruses in water are essential for protecting public health," Reynolds said. "This rapid, low-cost water quality monitoring technology could be a transformational tool for reducing both local and global disease burdens."

The National Science Foundation Water and Environmental Technology Center at the UA and Tucson Water both provided funding for this research. While norovirus is often associated with cruise ships, it can also spread quickly through a community via its water supply. It causes about 200,000 deaths globally each year.

Keeping Components Simple

Devices to detect norovirus in small quantities do already exist, but they typically require a laboratory setting with an array of microscopes, lasers and spectrometers that can cost thousands of dollars. To detect norovirus in the field, such as on cruise ships or in municipal water wells, the team decided to use much simpler materials: paper, in the form of microfluidic chips, and a smartphone.

"Paper substrate is very cheap and easy to store, and we can fabricate these chips easily," Chung said. "The fibrous structure of paper also allows liquid to flow spontaneously without using the pumping systems other chips, such as silicon chips, usually require."

However, scientists usually detect contaminants on the chips by measuring the scattering and reflection of light in a sample, and paper's porousness and opacity can cause background scattering that interferes with imaging and makes it difficult to detect very small concentrations of a virus. So, the group developed a new way to detect norovirus, by counting fluorescent beads rather than measuring light intensity.

The process starts with adding potentially contaminated water to one end of a paper microfluidic chip. To the other end, a tester adds tiny, fluorescent polystyrene beads (picture the little white balls inside of a bean bag - these are the same material, but much smaller). Each bead is attached to an antibody against norovirus. If norovirus is present, several of the antibodies attach to each virus particle, creating a little clump of fluorescent beads.

"Norovirus particles are too small to be imaged by a smartphone microscope, and so are antibodies," Yoon said. "But when you have two or three or more of these beads joined together, that indicates that the norovirus is there, causing the beads to aggregate."

These clumps of beads are large enough for a smartphone microscope to detect and photograph. Then, a smartphone app the researchers created counts the number of illuminated pixels in the image to identify the number of aggregated beads, and subsequently, the number of norovirus particles in the sample. That's another advantage of the paper chip: Through capillary action, the groups of beads spread out along the paper, making them easier to count. The most expensive component of the whole device - the smartphone microscope - costs less than $50. It is also simple to use.

"You don't have to be a scientist or an engineer to run the device," Yoon said. "Analysis will be done automatically by the smartphone app, so all you have to worry about is loading a sample of water onto the chip."

In the future, the team hopes to develop methods for detecting norovirus infections in patients even earlier, and to expand their smartphone monitoring platform to detect other hazards, such as potentially cancer-causing chemicals. They also plan to spread the platform's use across the globe, fighting and detecting far-reaching diseases with tools that are just as widespread.

Soo Chung, Lane E Breshears, Sean Perea, Christina M Morrison, Walter Q Betancourt, Kelly A Reynolds, Jeong-Yeol Yoon.
Smartphone-Based Paper Microfluidic Particulometry of Norovirus from Environmental Water Samples at the Single Copy Level.
CS Omega 20194611180-11188, June 27, 2019. doi: 10.1021/acsomega.9b00772.

Most Popular Now

Specially Designed Video Games may Benef…

In a review of previous studies, a Johns Hopkins Children's Center team concludes that some video games created as mental health interventions can be helpful - if modest - tools...

AI may Enhance Patient Safety

Generative artificial intelligence (genAI) uses hundreds of millions, sometimes billions, of data points to train itself to produce realistic and innovative outputs that can mimic human-created content. Its applications include...

AI Chatbots Rival Doctors in Accuracy fo…

A new study reveals that artificial intelligence chatbots, such as ChatGPT, may be almost as effective as consulting a doctor for advice on low back pain. Conducted by an international team...

Researchers Harness AI to Repurpose Exis…

There are more than 7,000 rare and undiagnosed diseases globally. Although each condition occurs in a small number of individuals, collectively these diseases exert a staggering human and economic toll because...

Paving the Way for New Treatments

A University of Missouri researcher has created a computer program that can unravel the mysteries of how proteins work together - giving scientists valuable insights to better prevent, diagnose and...

AI Language Models Write Good Doctor…

Generative AI should be able to write usable doctor's letters and thus potentially speed up medical documentation, according to a study by the University Medical Center Freiburg. Around 93% of...

Clanwilliam Brings Epic Care to the UK

Care homes looking to digitise their administration and care procedures have a new option with the launch of Epic Care in the UK. Epic Care is a modular, scalable system developed...

When Detecting Depression, the Eyes have…

It has been estimated that nearly 300 million people, or about 4% of the global population, are afflicted by some form of depression. But detecting it can be difficult, particularly...

West Yorkshire and Harrogate Hospitals S…

Clinicians working at five of the six trusts in the West Yorkshire Association of Acute Trusts (WYAAT) can access test results from across their pathology network, following a summer roll-out...

ChatGPT Shows Human-Level Assessment of …

As artificial intelligence advances, its uses and capabilities in real-world applications continue to reach new heights that may even surpass human expertise. In the field of radiology, where a correct...

HWL 2024 Brings Together a Record Number…

1 - 2 October 2024, Luxembourg. The second edition of Healthcare Week Luxembourg on 1 and 2 October 2024, organised by the Federation of Luxembourg Hospitals (FHL), in partnership with the...

When it comes to Emergency Care, ChatGPT…

If ChatGPT were cut loose in the Emergency Department, it might suggest unneeded x-rays and antibiotics for some patients and admit others who didn't require hospital treatment, a new study...