Naslov
Influence of particle size on UV-VIS and NIR spectra of aqueous extracts of plants from Lamiaceae family

Autori
Bendelja, I. ; Valinger, D. ; Jurina, T. ; Jurinjak Tušek, A. ; Gajdoš Kljusurić, J. ; Benković, M.

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of abstracts Nutricon 2018 / Kakurinov, V - Skopje : Consulting and Training Center KEY, 2018, 61-62

ISBN
978-608-4565-12-3

Skup
Congress on Food Quality and Safety, Health and Nutrition (NUTRICON 2018)

Mjesto i datum
Ohrid, Sjeverna Makedonija, 13.06.2018. - 15.06.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
medicinal plants, particle size, UV-VIS spectroscopy, NIR

Sažetak
The Lamiaceae family plants are recognized as rich sources of phytochemicals with important antioxidant traits. Furthermore, the epidemiological studies have shown that consummation of herbal food, rich in antioxidants, has favorable impact on human health. The aim of this study was to determine the influence of particle size on the recorded UV-VIS and NIR spectra of thyme (Thymus serpyllum L.), sage (Salvia officinalis), mint (Mentha piperita L.) and lemon balm (Melissa officinalis) water extracts. Water extracts were prepared with seven different particle sizes of the dried plants (<100 μm, 100 μm, 250 μm, 355 μm, 500 μm, 800 μm and 1000 μm) in an oil/water bath at T = 80°C for t = 90 min and rpm = 500 min-1. Continuous UV-VIS and NIR spectra of each extract were recorded. To determine the differences and the similarities between the extracts, the recorded UV-VIS and NIR spectral data was analyzed by the Principal Component Analysis (PCA) and Partial Least Squares (PLS) models using the Unscrambler X software, version 10.5 (CAMO Software, Norway). PCA analysis revealed good separation of the extracts based on their particle sizes. In order to determine whether spectral data and particle size show any kind of correlation, PLS modelling was conducted. The obtained PLS models revealed that a strong linear correlation exists between particle size and absorbance data of both, UV-VIS and NIR spectra for all analyzed plant extracts. The determination coefficients for model validation were as follows: R2=0.511 for thyme ; R2= 0.939 for sage ; R2=0.830 for mint and R2= 0.828 for lemon balm. These results confirm that the particle size influences the extraction process and the recorded spectral data of the extracts. The results also confirm the suitability of PCA and PLS analysis for correlation determination among a large data set such as spectral data.

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija, Prehrambena tehnologija

POVEZANOST RADA