The project aims at the use of radiation in the frequency band Teraherzios for the non-invasive analysis of agro-industrial products. This radiation, which is not dangerous, it can help us to predict the composition, state of maturity, there is structural damage, among others.

Through this project, it seeks to generate predictive models that let us know by using a “picture” of a component of interest of the product. For example, you can determine the amount of cocoa in a chocolate, without being destroyed and then can be consumed.

For this project included a spectrometer frequency band Teraherzios and two Workstation for processing large amounts of data.

Artículos Científicos

1. Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity

2. Multivariate Analysis for the Classification of Chocolate According to Its Percentage of Cocoa by Using Terahertz Time-domain Spectroscopy (THzTDS)

3. Espectroscopía de terahercios en el dominio del tiempo para la clasificación de queso madurado Terahertz time-domain spectroscopy for the classification of mature cheese

4. Espectroscopia de terahercios en el dominio del tiempo para el análisis de materiales con Python Terahertz time-domain spectroscopy for material analysis with Python

5. Terahertz Imaging and Machine Learning in the Classification of Coffee Beans

6. The frequency range in THz spectroscopy and its relationship to the water content in food: A first approach