If you are a grocery chain dealing with food waste from expired products and customer complaints about spoiled items — this project developed a portable scanner with 3 integrated sensors that checks freshness and predicts shelf life on the spot. Staff could scan incoming shipments of fruits, vegetables, meat, and fish to catch spoilage early, reducing waste and protecting your brand from food safety incidents.
Pocket-Sized Scanner That Detects Food Fraud, Spoilage, and Toxins On the Spot
Imagine pointing a device the size of a TV remote at a piece of fish or a bottle of olive oil and instantly knowing if it's gone bad or been tampered with. That's what PhasmaFOOD built — a miniature scanner that combines three different light-based sensors with a smartphone app and cloud database to check food quality in seconds. It can spot everything from mold toxins hiding in nuts to watered-down milk, and even predict how many days before your meat goes off. Think of it as a food lie detector you can carry in your pocket.
What needed solving
Food businesses lose billions annually to undetected spoilage, contamination, and fraud — yet current quality testing requires sending samples to expensive labs and waiting days for results. A grocery chain receiving a truckload of fish or a grain trader checking for toxins in a shipment has no fast, on-site way to verify what they're buying. This gap means contaminated or fraudulent food enters the supply chain, causing waste, recalls, and health risks.
What was built
The project built a miniaturized portable scanner integrating 3 sensor types (MEMS near-infrared spectrometer, UV-VIS spectrometer, and micro-camera) with 3 light sources, connected to a smartphone app and cloud-based reference database. Two prototype generations were completed, with embedded software for real-time food analysis covering mycotoxin detection, spoilage assessment, shelf-life prediction, and food fraud identification.
Who needs this
Who can put this to work
If you are a food manufacturer dealing with raw material fraud or contamination in your supply chain — this project built a miniaturized system that detects adulteration in milk, meat, oil, and alcoholic beverages using near-infrared and UV-visible spectroscopy. It connects to a cloud-based reference database, giving your quality control team instant results without sending samples to a lab.
If you are a grain trader or storage operator worried about mycotoxin contamination in your stock — this project created a portable device specifically tested for aflatoxin detection in grains and nuts. Instead of waiting days for lab results, your warehouse staff can scan batches on arrival using UV-LED illumination and get immediate contamination alerts through the smartphone app.
Quick answers
What would a system like this cost compared to traditional lab testing?
The project data does not disclose unit pricing. However, the system was designed as a miniaturized portable device connected to a smartphone, which suggests significantly lower per-test costs than sending samples to an external laboratory. The cloud-based service model could mean recurring subscription fees for the reference database access.
Can this scale to handle high-volume food processing lines?
The current system is designed as a portable, on-the-spot tool — not an inline production sensor. It integrates 3 sensor devices (near-IR spectrometer, UV-VIS spectrometer, and micro-camera) into a compact unit for manual scanning. Scaling to automated production lines would require further engineering, but the core detection algorithms running on the cloud could handle multiple connected devices.
Who owns the intellectual property and can I license this technology?
The project was coordinated by Netcompany SA (Belgium) with a consortium of 10 partners across 7 countries. IP is likely shared among consortium members under the Horizon 2020 grant agreement. Licensing discussions would need to go through the coordinator or relevant technology-owning partners.
Does this meet food safety regulations in the EU?
The system addresses detection of regulated contaminants like aflatoxins in grains and nuts, which fall under EU food safety legislation. However, based on available project data, no regulatory certification (e.g., as an official testing method) is mentioned. It would most likely serve as a rapid screening tool, with positive results confirmed by accredited labs.
How mature is the technology — is it ready to deploy?
The project delivered a 2nd generation prototype with enhanced reliability, along with embedded software for the food analysis platform. With 35 total deliverables completed over 3 years and EUR 3,095,825 in EU funding, the technology reached a functional prototype stage but the project closed in 2019 without evidence of commercial launch.
What food types can it actually test?
Based on the project objectives, the system was tested on 3 specific use cases: mycotoxins in grains and nuts (aflatoxin detection), spoilage in fruits, vegetables, meat, and fish (including shelf-life prediction), and food fraud in alcoholic beverages, oil, milk, and meat. The cloud reference database could potentially be extended to additional food types.
Who built it
The PhasmaFOOD consortium brings together 10 partners from 7 countries (Belgium, Germany, Greece, Italy, Luxembourg, Netherlands, Serbia), with a balanced mix of 3 industrial partners, 3 universities, and 4 research organizations. The 30% industry ratio and 1 SME participant suggest the project was research-heavy rather than market-driven. Coordination by Netcompany SA, a Belgian private company, provides a commercial anchor point. The multi-country spread across Western and Southern Europe covers key food production and consumption markets, though the absence of major food industry corporations means commercialization would require new industrial partnerships.
- NETCOMPANY SACoordinator · BE
- UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATAparticipant · IT
- WINGS ICT SOLUTIONS TECHNOLOGIES PLIROFORIKIS KAI EPIKOINONION ANONYMI ETAIREIAparticipant · EL
- FONDACIJA VIZLORE LABSparticipant · RS
- CONSIGLIO NAZIONALE DELLE RICERCHEparticipant · IT
- GEOPONIKO PANEPISTIMION ATHINONparticipant · EL
- FREIE UNIVERSITAET BERLINparticipant · DE
- NETCOMPANY S.A.thirdparty · LU
- STICHTING WAGENINGEN RESEARCHparticipant · NL
Netcompany SA (Belgium) coordinated the project. Use Google AI Search to find the project coordinator's contact details for licensing or partnership inquiries.
Talk to the team behind this work.
Want to explore licensing this portable food scanning technology or connect with the research team? SciTransfer can arrange an introduction and help you evaluate the business fit for your specific food safety challenge.