Santiago Marco

TL;DR: The validation of a RFID smart tag developed for real-time traceability and cold chain monitoring for food applications proved that this system presents important advantages regarding conventional traceability tools and currently used temperature data loggers such as more memory, reusability, no human participation and more resistance to humidity and environmental conditions.

TL;DR: In the last decade, important advances have shown that proper processing can improve the robustness of the instruments against diverse perturbations, namely, environmental variables, background changes, drift, etc.

TL;DR: Orthogonal Signal Correction (OSC) is proposed for drift compensation in chemical sensor arrays and a simple classification algorithm has been employed for assessing the performance of the algorithms on a dataset composed by measurements of three analytes using an array of seventeen conductive polymer gas sensors over a ten month period.

TL;DR: The use of reservoir computing (RC) algorithms are proposed to overcome the slow temporal dynamics of chemical sensor arrays, allowing identification and quantification of chemicals of interest continuously and reducing measurement delays.

TL;DR: The proposed new drift compensation method – employing no specific reference gas, but information from all gases – has shown the same performance as the traditional approach with the best-fitted reference gas.