Skip to main content
  1. Home
  2. Emerging Tech
  3. News

‘Artificial nose’ sensors can sniff gases to identify ripe foods before they go bad

Add as a preferred source on Google

Are you kind of person who ends up with overripe fruit in your grocery store basket, but don’t realize it until you get your haul back to the kitchen? Well not to worry — there’s an “artificial nose” technology in the works that would allow users to detect the effects of ripening produce, and change the way we shop for food forever. This newly-developed sensor would sniff out food ripeness, empower sellers to move products at peak deliciousness, and put an end to overripe avocados once and for all.

Developed by C2Sense, the technology behind the “artificial nose” allows sensors to detect ethylene, an odorous gas that is released naturally as produce ripens. The more ethylene a fruit gives off, the more quickly it ripens, which means that the process from ripe to spoiled is expedited exponentially. Etheylene sensors aren’t new in and of themselves, and until now they have worked in largely the same way a home carbon monoxide detector or smoke alarm does. C2Sense’s ethylene detector technology is the first that is inexpensive enough to see a future in the mass market.

Recommended Videos

A chemical reaction takes place within an electric circuit in C2Sense’s affordable sensor, so that as ethylene molecules increase in number throughout the ripening process, the electrical current in the sensor is interrupted and the change in conductivity can be measured. Once the sensors are ready for mass production, they will become a part of the overall food process that the western world so often takes for granted. Wholesalers will be able to stock produce packaged with C2Sense chip labels, and will be able to manage the sale of fruits and vegetables at peak ripeness. Customers will be able to scan produce labels for ripeness from a simple smart phone app. Even restaurant owners and chefs will be able to manage food storage to make the most of their kitchen resources before food goes bad.

C2Sense is the startup behind the artificial nose, but the science originally came out of MIT and research conducted by chemistry PhD candidate Jan Schnorr. In October, C2Sense was granted $350,000 in research funds from Breakout Labs, a philanthropic organization that aims to support scientists in transitioning from lab research to commercial endeavors. Ultimately, Schnorr and C2Sense hope to use the artificial nose technology to create sensor chips so small and affordable that they could be embedded in food packaging or built into grocery store produce bags.

Further applications of the C2Sense technology are already in development to detect gases other than ethylene, including ammonia and the amines released by meat products. C2Sense estimates that global food waste has a direct economic cost of $750 billion per year. The ethylene sensing system they have developed into their artificial nose technology could seriously curtail the social, political, and economic problems that threaten the world’s population thanks to wasted food around the globe.

Chloe Olewitz
Former Digital Trends Contributor
Chloe is a writer from New York with a passion for technology, travel, and playing devil's advocate. You can find out more…
Yet another study says AI is bad for elections, and the rabbit hole gets worse
AI may be an election bomb waiting for someone to light the fuse
Voters cast their ballots on Election Day

Another election, another study has concluded that asking an AI chatbot for political guidance is a spectacularly bad idea. Research conducted during Hungary’s 2026 parliamentary election found that ChatGPT and Google Gemini offered not just inaccurate but also inconsistent and unreliable voting advice. The chatbots misclassified voter profiles, overlooked relevant parties, recommended parties absent from the ballot, and sometimes produced materially different answers when given the same information repeatedly.

AI keeps failing the voter test

Read more
Samsung’s humanoid robot ambitions are real, but factories come first
Samsung’s new robotics division has humanoids in its sights, although its immediate business is far more practical factory automation
Robot Touch Human Finger

Samsung wants a place in the humanoid race, but its new robotics push begins with machines built for factories rather than homes.

The CEO-led RX robotics division will initially focus on manufacturing robots. Samsung has separately identified humanoids as a priority, although it hasn’t announced a commercial model or explained where one fits into the division’s immediate plans.

Read more
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more