Mobile Food Scanning Devices

Dear Colleagues,

Due to massive advances in sensors and integration technology, analytical systems can be down-scaled in size and price, allowing increasingly capable devices for in-field or mobile devices and deployment. Application fields include, but are not limited to, food scanners checking for authenticity, fraud, adulteration, and freshness/consumability, including human support systems in ambient assisted living, drug scanners, in-line process sensor systems including lubrication/oil quality sensor systems, and PoC devices. Multi-sensor input (e.g., from various forms of spectroscopy (VIS/NIR/IR/UV/fluorescence) as well as Raman spectroscopy, impedance spectroscopy, gas sensing, or miniaturized mass spectrometers) can be named here. The resulting multivariate data is subject to analysis and classification by advanced machine-learning or pattern recognition techniques including the issue of establishing and employing suitable reference data bases. Numerous desktop and larger, costly hand-held equipment is already available. The Issue will focus on recent, emerging, or future devices and system approaches (e.g., IoT devices) for the named fields, with a focus on food scanning devices that are small, cheap, and capable in terms of gradually moving step by step towards state-of-the-art analytical lab performance.

Prof. Dr. Andreas König
Guest Editor

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• food scanners
• multi-sensor mobile analytical IoT devices
• in-line or in-field inspection
• multi-variate signal processing
• machine learning
• ambient-assisted-living