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Pregled bibliografske jedinice broj: 895001

Near-infrared spectroscopic characterization of steviol glycosides extracted from Stevia rebaudiana Bertoni using high-power ultrasound and gas-phase plasma


Kujundžić, Diana; Režek Jambrak, Anet; Vukušić, Tomislava; Stulić, Višnja; Gajdoš Kljusurić, Jasenka; Banović, Mara; Herceg, Zoran
Near-infrared spectroscopic characterization of steviol glycosides extracted from Stevia rebaudiana Bertoni using high-power ultrasound and gas-phase plasma // Journal of food and nutrition research, 56 (2017), 2; 109-120 (podatak o recenziji nije dostupan, članak, ostalo)


Naslov
Near-infrared spectroscopic characterization of steviol glycosides extracted from Stevia rebaudiana Bertoni using high-power ultrasound and gas-phase plasma

Autori
Kujundžić, Diana ; Režek Jambrak, Anet ; Vukušić, Tomislava ; Stulić, Višnja ; Gajdoš Kljusurić, Jasenka ; Banović, Mara ; Herceg, Zoran

Izvornik
Journal of food and nutrition research (2333-1119) 56 (2017), 2; 109-120

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, ostalo

Ključne riječi
Steviol glycosides ; near-infrared spectroscopy ; gas-phase plasma ; high intensity ultrasound ; principal component analysis ; partial least squares regression

Sažetak
The purpose of this study was to examine the possibility of extraction of steviol glycosides from dried leaves of Stevia rebaudiana by application of high- intensity ultrasound and gas atmospheric plasma, in which water is used as a solvent. In contrast to Soxhlet extraction (by water), an increase in the yield of average value of steviol glycosides was achieved by ultrasound (59%) and gas plasma (43%). Highest effect was at treatment for 30 min, the amplitude of 90 µm, and a temperature of 45 °C. After gas plasma treatments, the average yield of steviol glycosides (101.34 g·kg-1) was slightly lower than that after the application of ultrasound. This study also established a near-infrared spectroscopy (NIR) model for direct and rapid analysis of the expected content of steviosides. NIR spectroscopy showed the capacity that, combined with multivariate analysis tools (principal component analysis, partial least squares regression), was successful in grouping data.

Izvorni jezik
Engleski

Znanstvena područja
Prehrambena tehnologija

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