Projecte llegit

Títol: Ús de l’especroscòpia d’infraroig proper en l’anàlisi químic del tomàquet de penjar.

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Tutor/a o Cotutor/a: CASALS MISSIO, JOAN

Departament: DEAB

Títol: Ús de l’especroscòpia d’infraroig proper en l’anàlisi químic del tomàquet de penjar.

Data inici oferta: 03-02-2020      Data finalització oferta: 03-10-2020

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Estudis d'assignació del projecte:

GR ENG SIS BIOLÒGICS
GR ENG ALIMENT 2016

Lloc de realització:
EEABB

Segon tutor/a extern: Sílvia Sans Molins

Paraules clau:
Solanum lycopersicum L., infraroig proper, quimiometria, transflectància.

Descripció del contingut i pla d'activitats:
L’espectroscòpia d’infraroig proper és una tèncica àmpliament
utilitzada en l’anàlisi d’aliments. En aquest treball l’estudiant
posarà a punt models de predicció de caràcters químics (Contingut
en sòlids solubles, contingut en matèria seca i acidesa titulable)
en el tomàquet de penjar. En aquest treball, l’estudiant, durà a
terme tasques de laboratori, així com de desenvolupament de models
multivariants per a la predicció dels caràcters estudiats.

Overview (resum en anglès): Tomato cultivation (Solanum lycopersicum L.) is the second most important in the world. Its fruit is one that is immensely loved because of the flavor and great nutritional value. The demand and production continue to increase; so, the quality control is very important.
Chemical analysis in a laboratory of certain tomato variables can indicate its quality; but these analysis methods can take a long time and often destroy the sample. An alternative that is, fast, low-cost and a non-destructive analytical method is near infrared (NIR) spectroscopy. In this method, the spectra of the samples can be correlated with the chemical data obtained from laboratory and used to generate prediction models.
The purpose of this project is to obtain prediction models to determine the soluble solids content (SSC), dry matter (MS) and titratable acidity (AT) in tomato puree by analyzing the samples by means of NIR transflectance spectroscopy and, in turn, study different factors related to spectroscopy in order to create the best prediction models; these being: (1) Polyethylene bag factor (the sample contained in a bag or the free sample in the sample window of the spectroscope). Important factor due to the time saving that comes with using the bag; and (2) Optical path factor (spectra taken with the 0.5 mm, 1.0 mm or 2.0 mm transflectance sampling arm).
Models were obtained for the prediction of MS and SSC, and a slight improvement was observed if the spectra performed on the bag less samples were used. In contrast, the models developed for AT were not good enough to be able to predict this variable. When the spectra performed on the bag less samples were used, the best model for MS was obtained with an optical path of 1.0 mm and for SSC with an optical path of 0.5 mm. When the bag spectra were used, the best model, for both MS and SSC, was achieved using a 1.0 mm optical path.

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