A Portable Smartphone Laboratory Detects Cancer

Washington State University researchers have developed a low-cost, portable laboratory on a smartphone that can analyze several samples at once to catch a cancer biomarker, producing lab quality results. The research team, led by Lei Li, assistant professor in the School of Mechanical and Materials Engineering, recently published the work in the journal Biosensors and Bioelectronics.

At a time when patients and medical professionals expect always faster results, researchers are trying to translate biodetection technologies used in laboratories to the field and clinic, so patients can get nearly instant diagnoses in a physician's office, an ambulance or the emergency room.

The WSU research team created an eight channel smartphone spectrometer that can detect human interleukin-6 (IL-6), a known biomarker for lung, prostate, liver, breast and epithelial cancers. A spectrometer analyzes the amount and type of chemicals in a sample by measuring the light spectrum.

Although smartphone spectrometers exist, they only monitor or measure a single sample at a time, making them inefficient for real world applications. Li's multichannel spectrometer can measure up to eight different samples at once using a common test called ELISA, or colorimetric test enzyme-linked immunosorbent assay, that identifies antibodies and color change as disease markers.

Although Li's group has only used the smartphone spectrometer with standard lab-controlled samples, their device has been up to 99 percent accurate. The researchers are now applying their portable spectrometer in real world situations.

"With our eight channel spectrometer, we can put eight different samples to do the same test, or one sample in eight different wells to do eight different tests. This increases our device's efficiency," said Li, who has filed a provisional patent for the work.

"The spectrometer would be especially useful in clinics and hospitals that have a large number of samples without on-site labs, or for doctors who practice abroad or in remote areas," he said. "They can't carry a whole lab with them. They need a portable and efficient device."

Li's design works with an iPhone 5. He is creating an adjustable design that will be compatible with any smartphone.

The work was funded by the National Science Foundation and a WSU startup fund. It is in keeping with WSU's Grand Challenges, a suite of research initiatives aimed at large societal issues. It is particularly relevant to the challenge of sustaining health and its themes of healthy communities.

Wang LJ, Chang YC, Sun R, Li L.
A multichannel smartphone optical biosensor for high-throughput point-of-care diagnostics.
Biosens Bioelectron. 2016 Sep 9;87:686-692. doi: 10.1016/j.bios.2016.09.021.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...