ExpertiseUpdated on 25 April 2025

Chemometrics and Sensor Data Analysis for Food Quality and Safety

Margherita Modesti

Researcher at Tuscia University

Viterbo, Italy

About

Calibration and validation of analytical and sensing systems (e.g., NIR, hyperspectral, electronic nose/tongue)

Integration and correlation of sensor data with destructive reference analyses

Development of predictive models to assess food quality, authenticity, and safety

Data processing pipelines for experimental design, preprocessing, and multivariate statistics

I am interested in collaborations involving innovation in food monitoring technologies, sensor development, and the application of data-driven approaches for quality control.

Field

  • Fair, healthy and environment-friendly food systems from primary production to consumption

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