Pregled bibliografske jedinice broj: 560191
SAMPLE DISCRIMINATION OF MANDARIN CULTIVARS AND PRODUCTS USING NIR DATA CHEMOMETRIC ANALYSIS
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 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 560191 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
SAMPLE DISCRIMINATION OF MANDARIN CULTIVARS AND PRODUCTS USING NIR DATA CHEMOMETRIC ANALYSIS
Autori
S. Djaković, J. Gajdoš Kljusurić, B. Levaj, V. Dragović-Uzelac, D. Bursać Kovačević, Ž. Kurtanjek
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings 7th International Congress of FOOD TECHNOLOGISTS, BIOTECHNOLOGISTS AND NUTRITIONISTS
/ Helga Medić - Zaprešić, 2011, 125-128
ISBN
978-953-99725-4-5
Skup
7th International Congress of FOOD TECHNOLOGISTS, BIOTECHNOLOGISTS AND NUTRITIONISTS
Mjesto i datum
Opatija, Hrvatska, 20.09.2011. - 23.09.2011
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
NIR; mandarins; chemometrics
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Prehrambena tehnologija
POVEZANOST RADA
Projekti:
058-0580696-2728 - Promjene visokovrijednih sastojaka tijekom prerade odabranih vrsta voća (Levaj, Branka, MZOS ) ( CroRIS)
Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb
Profili:
Danijela Bursać Kovačević
(autor)
Branka Levaj
(autor)
Senka Djaković
(autor)
Želimir Kurtanjek
(autor)
Jasenka Gajdoš Kljusurić
(autor)
Verica Dragović-Uzelac
(autor)