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Artificial Nose Technology Detects Spoiled Food and Odors

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Researchers at the Norwegian University of Science and Technology have developed an innovative artificial nose that can detect and identify various odors, including spoiled food, using a single antenna coated with graphene oxide, with potential applications in food safety, medical diagnostics, and environmental monitoring.


Revolutionary Technology: The Artificial Nose

Researchers at the Norwegian University of Science and Technology have unveiled an innovative antenna-based technology known as the “artificial nose,” capable of detecting and identifying various volatile organic compounds (VOCs). This advancement promises significant implications for food safety, environmental monitoring, and even medical diagnostics. The study, led by Yu Dang, will be published in the upcoming November issue of Sensors & Sensors Be Chemicals.

How It Works: A Simpler Approach to Detection

Unlike traditional electronic noses that rely on numerous sensors and costly nanomaterials, the artificial nose utilizes a single antenna coated with graphene oxide, enhancing its sensitivity and accuracy. This design simplifies the detection process, allowing for an impressive accuracy rate of up to 96.7 percent in identifying gases. By analyzing the reflection of radio signals at various frequencies, the device can create unique “fingerprints” for different VOCs, making it a versatile tool for various applications.

Future Applications and Implications

The artificial nose has already shown promise in detecting spoiled food, such as rotten fruit and meat. However, its potential applications extend far beyond food safety. Researchers believe it could revolutionize medical diagnostics by analyzing breath for disease detection, improve air quality monitoring, and enhance agricultural practices by identifying plant diseases early. As the technology evolves, its integration with advanced machine learning algorithms will further bolster its capabilities, making it a crucial component in the Internet of Things (IoT) landscape.

Clam Reports
Refs: | Aljazeera |

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