Departamento de Ciencias de la Computación e Inteligencia Artificial

Applications of Artificial Intelligence in Analytical Chemistry

I started this research line in 2010, in collaboration with the ECSenS research group. Our current developments focus on:

  • Design and modelling of disposable optical sensors
  • Machine learning methods for colorimetric feature characterization of optical sensors and its application to the estimation of chemical variables
  • Optimization of sensor arrays for minimization of size and energy resources
  • Development of portable hardware for estimation of chemical variables in waters using disposable optical sensors
  • Applications for pH determination, alkaline metals detection and heavy metal classification