Smartphone-based food diagnostics

This solution was shared by PRE-LAUNCH RESEARCH TEAM , 14 May 2021

Print date: 14 April 2024 10:30

Description of the innovative solution

Digital platform Mobile phones Online services Sensors Food safety Monitoring/Surveillance Supply-chain management Consumer choice Retail promotion Tuft's Innovation Lab

Smartphone-based food diagnostic technologies can be used for many applications including food safety analysis and environmental monitoring. Smartphone diagnostics are more portable, economical, faster, and easier to use than conventional lab-based approaches. Smartphone diagnostic technologies require an application on a phone via which information is relayed to the user, and a sensor. The main sensor types are optical and electrochemical biosensors. An optical sensor (e.g. water contamination detector) uses visual cues such as colorimetric or luminescent detection for quantification and can use the phone camera. Electrochemical sensors (e.g. glucose detectors) allow sample quantification with higher sensitivity and reproducibility than optical sensors, however they require an external electrode for measurement. Other sensors include sound recording, magnetoresistance, and near-field communication interference. Sample preparation, and optimisation and/or calibration are limitations for mobile diagnostics. For example, sampling performed by non-expert user can result in contamination, resulting in incorrect measurements. Effective optimisations, calibrations and easy to follow protocols instructions are important for overcoming this.

Supply chain segment

Consumers

Maturity level

Moving to scale

Criteria

Food safety

SDG target

SDG 3: Good Health and Well-being SDG 14: Life Below Water SDG 15: Life on Land

Context

Urban Peri-urban Rural Marine/Coastal

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Smartphone-Based Food Diagnostic Technologies
Scientific paper
Review on the current state of technology and schematics for mobile sensing technology as well as a brief market analysis.
Shared by IFSS Portal Research Team

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