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Smartphone-Based Food Diagnostic Technologies: A Review.

Giovanni Rateni1, Paolo Dario2, Filippo Cavallo2

  • 1The BioRobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34, 56025 Pontedera (PI), Italy. paolo.dario@santannapisa.it.

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Smartphone sensing platforms offer rapid, low-cost food diagnostics. This review covers advancements in lab-on-smartphone technology and custom modules for enhanced food safety analysis.

Keywords:
IoTbiosensorscloud computingfood analysisfood safetylab-on-smartphonemobile diagnosticson-site detectionsmartphone sensorspectroscopy

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Area of Science:

  • Mobile sensing technologies
  • Biomedical engineering
  • Food science and technology

Background:

  • Traditional food analysis platforms are often slow, costly, and require significant user involvement.
  • Mobile sensing, particularly smartphone-based platforms, presents a paradigm shift with advantages in speed, cost, and ease of use.
  • The integration of sensing technologies with smartphones creates powerful lab-on-smartphone devices for diverse applications.

Purpose of the Study:

  • To review recent advancements in smartphone-based food diagnostic technologies.
  • To emphasize custom modules that enhance smartphone sensing capabilities for food analysis.
  • To systematically classify detection strategies and discuss their strengths and weaknesses.

Main Methods:

  • Review of current literature on smartphone-based food diagnostic systems.
  • Analysis of custom modules designed to augment smartphone sensing capabilities.
  • Classification of devices based on detection strategies.
  • Inclusion of Internet of Things (IoT) food scanning devices.

Main Results:

  • Smartphone-based platforms offer significant advantages in test speed, cost, and user-friendliness.
  • Custom modules are crucial for enhancing the sensitivity and specificity of smartphone sensors.
  • Various sensing techniques and device configurations have been demonstrated for food diagnostics.
  • The field is rapidly evolving, with commercialization through start-up companies.

Conclusions:

  • Lab-on-smartphone platforms represent a promising future for accessible and efficient food safety analysis.
  • Continued development of integrated, low-power systems is essential for widespread adoption.
  • The convergence of mobile sensing and IoT is driving innovation in food diagnostics.