Skip to Content
77 Mass Ave

A sensor you swallow

Ingestible low-power sensors can detect gastric bleeding.
August 22, 2018
Photo of two hands holding a small, pill-shaped sensor.
Photo of two hands holding a small, pill-shaped sensor.Lillie Paquette/MIT

MIT researchers have built an ingestible sensor that can diagnose gastrointestinal problems like bleeding in the stomach—and relay the results to a smartphone.

To create these sensors, professors Timothy Lu and Anantha Chandrakasan, along with Mark Mimee, PhD ’18, and Phillip Nadeau, SM ’11, PhD ’16, combined engineered bacteria with an electronic chip that can translate the bacterial response into a wireless signal.

For their initial demonstration, which they reported in Science, the researchers focused on bleeding in the GI tract. They engineered a probiotic strain of E. coli to express a genetic circuit that causes the bacteria to emit light when they encounter heme, a component of blood. They then placed the bacteria into four wells of a custom-designed sensor, covering it with a semipermeable membrane that allows small molecules from the surrounding environment to pass through. A phototransistor beneath each well measures the light produced by the bacterial cells and relays the information to a microprocessor that sends a wireless signal to a nearby computer or smartphone. The researchers also built an Android app to analyze the data.

The sensor, a cylinder about 1.5 inches long, uses a battery that the researchers estimate could power the device for about a month and a half. It could also be powered by a voltaic cell sustained by acidic fluids in the stomach, using technology Nadeau and Chandrakasan developed previously.

In tests in pigs, the sensor showed that it correctly determined whether any blood was present in the stomach. Today, gastric bleeding is often diagnosed with an endoscopy, which frequently requires sedation. This technology offers a noninvasive alternative.

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.