Elaborazione di dati spettrali provenienti da sensori ottici tramite analisi multivariata

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Spettroscopia di liquidi tramite luce diffusa e sorgente supercontinuum a fibra ottica per misure di assorbimento indipendenti dalla torbidità del liquido

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Optical Absorption Spectroscopy for Quality Assessment of Extra Virgin Olive Oil

Space scienc

Aplicación de la nefelometría espectral a la medida simultánea del color y la turbidez en aceites de oliva obtenidos por distinto grado de clarificación

Se ha estudiado la utilidad de la nefelometría espectral en la medida simultánea del color y turbidez en aceites de oliva virgen extra. Se han considerado 25 aceites, cada uno de ellos con 6 niveles de turbidez diferente, sobre los que se han realizado medidas nefelométricas y gonioespectrofotométricas (0º, 30º, 60º y 90º). Los resultados ponen de manifiesto dificultades en las medidas por transmisión a ángulos superiores a 30º. Se concluye que existe una fuerte dependencia entre la turbidez y la variación de claridad L*10 entre 0º y 30º, que no pudo ser confirmada para el ángulo de tono hab,10 ni para el croma C*ab,10.Consejería de Innovación, Ciencia y Empresa de la Junta de Andalucía: proyectos IAC07-I-1664 y P06-AGR-01744Ministerio de Educación y Ciencia (España): Proyecto FIS2007-6426

Comparative analysis of quality parameters of Italian extra virgin olive oils according to their region of origin

Italian extra virgin olive oils from four regions covering different latitudes of the country were considered. They were analyzed by means of absorption spectroscopy in the wide 200-2800 nm spectral range, and multivariate data processing was applied. These spectra were virtually a signature identification from which to extract information on the region of origin and on the most important quality indicators. A classification map was created which was able to group the 80 oils on the basis of their region of origin. Furthermore, a model for the prediction of quality parameters such as oleic acidity, peroxide number, K232, K270 and Delta K, was developed

Near-infrared spectroscopy and pattern-recognition processing for classifying wines of two Italian provinces

This paper presents an experiment making use of the near-infrared spectrum for distinguishing the wines produced in two close provinces of Abruzzo region of Italy. A collection of 32 wines was considered, 18 of which were produced in the province of Chieti, while the other 14 were from the province of Teramo. A conventional dual-beam spectrophotometer was used for absorption measurements in the 1300-1900 nm spectroscopic range. Principal Component Analysis was used for explorative analysis. Score maps in the PC1-PC2 or PC2-PC3 spaces were obtained, which successfully grouped the wine samples in two distinct clusters, corresponding to Chieti and Teramo provinces, respectively. A modelling of dual-band spectroscopy was also proposed, making use of two LEDs for illumination and a PIN detector instead of the spectrometer. These data were processed using Linear Discriminant Analysis which demonstrated satisfactory classification result

Diffuse-light absorption spectroscopy for beer classification and prediction of alcoholic content

This report summarizes the results obtained during a spectroscopy experiment which was carried out at the "Fiber Optic and Microoptic Sensors Laboratory" of CNR IFAC, during the month of July 2011, as a part of Edgar Samano\u27s internship. The scope of the experiment was: 1. To perform spectroscopic measurements on selected samples of beer by means of an innovative fiber optic instrumentation - that is diffuse-light absorption spectroscopy in the visible and near-infrared bands performed by means of an integrating sphere. 2. To perform turbidity and refractive index measurements by means of conventional instruments. 3. To process the measured data, aiming to highlight whether a correlation to quality indicators is possible, and to what extent

Chapter Optical Absorption Spectroscopy for Quality Assessment of Extra Virgin Olive Oil

Space scienc

Bluetooth-Connected Pocket Spectrometer and Chemometrics for Olive Oil Applications

Unsaturated fatty acids are renowned for their beneficial effects on the cardiovascular system. The high content of unsaturated fatty acids is a benefit of vegetable fats and an important nutraceutical indicator. The ability to quickly check fat composition of an edible oil could be advantageous for both consumers and retailers. A Bluetooth-connected pocket spectrometer operating in NIR band was used for analyzing olive oils of different qualities. Reference data for fatty acid composition were obtained from a certified analytical laboratory. Chemometrics was used for processing data, and predictive models were created for determining saturated and unsaturated fatty acid content. The NIR spectrum also demonstrated good capability in classifying extra virgin and non-extra virgin olive oils. The pocket spectrometer used in this study has a relatively low cost, which makes it affordable for a wide class of users. Therefore, it may open the opportunity for quick and non-destructive testing of edible oil, which can be of interest for consumer, retailers, and for small/medium-size producers, which lack easy access to conventional analytics