Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

SAMPLE DISCRIMINATION OF MANDARIN CULTIVARS AND PRODUCTS USING NIR DATA CHEMOMETRIC ANALYSIS (CROSBI ID 582964)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

S. Djaković, J. Gajdoš Kljusurić, B. Levaj, V. Dragović-Uzelac, D. Bursać Kovačević, Ž. Kurtanjek SAMPLE DISCRIMINATION OF MANDARIN CULTIVARS AND PRODUCTS USING NIR DATA CHEMOMETRIC ANALYSIS // Proceedings 7th International Congress of FOOD TECHNOLOGISTS, BIOTECHNOLOGISTS AND NUTRITIONISTS / Helga Medić (ur.). Zaprešić, 2011. str. 125-128

Podaci o odgovornosti

S. Djaković, J. Gajdoš Kljusurić, B. Levaj, V. Dragović-Uzelac, D. Bursać Kovačević, Ž. Kurtanjek

engleski

SAMPLE DISCRIMINATION OF MANDARIN CULTIVARS AND PRODUCTS USING NIR DATA CHEMOMETRIC ANALYSIS

The potential of near-infrared (NIR) spectroscopy for their ability to differentiate between mandarins’ cultivar and different products was evaluated. The non-destructive analysis was conducted using a NIR spectrometer in which the radiation reflected by the fruit products was performed in the near-infrared range from 904 - 1699 nm. Fruit products as juice, marmalade and candied peel from four cultivars, two of mandarins (Citrus unshiu Marcovitch Saigon, and Owari), and two of clementine (Citrus clementine Hernandina and Corsica SRA 63) were analysed. The study was focused on investigation of the possibility of potential distinction of mandarin products produced from different cultivars based on NIR spectrums. The spectra of fruit products were measured by diffuse trans-reflectance and raw spectra and their second derivative were used. The chemometric procedures applied to the NIR data were partial least squares regression (for discrimination on the basis of different products, and cultivar differentiation) and linear discriminant analysis (LDA) applied to principal component (PC) scores. First two components, PC1 and PC2 gave the highest level of products classification (98%) and fruit cultivars (94.7%), respectively. The results clearly show the potential for the application of near-infrared spectroscopy for a non- destructive detection of different mandarin cultivars and their final products. Analyses of the spectrums reveals changes in specific wavelengths of 1387 and 1616 nm which correspond to C–H combinations and the 1-st overtone of the bonds that indicates the advisability of use of NIR for on-line monitoring of product quality and selection. This study showed that near infrared spectroscopy has potential to distinguish mandarin cultivars and their products as well as from which mandarin cultivars it was produced. The finding based on the chemometric methods used in this research, could potentially be utilized to develop a protocol to detect different mandarin cultivars and origin of products in view of cultivar.

NIR; mandarins; chemometrics

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

125-128.

2011.

objavljeno

Podaci o matičnoj publikaciji

Proceedings 7th International Congress of FOOD TECHNOLOGISTS, BIOTECHNOLOGISTS AND NUTRITIONISTS

Helga Medić

Zaprešić:

978-953-99725-4-5

Podaci o skupu

7th International Congress of Food Technologists, biotechnologists and nutritionists

poster

20.09.2011-23.09.2011

Opatija, Hrvatska

Povezanost rada

Prehrambena tehnologija