Mikrovalovima potpomognuta ekstrakcija biološki aktivnih komponenata industrijske konoplje: optimiranje, kinetika i kemometrija

master's thesis

• Title (english): Microwave-assisted extraction of biologically active components of industrial hemp: optimization, kinetics and chemometric
• Author: Nikolina Matešić
• Mentor: Ana Jurinjak Tušek (mentor)
• Granter: University of Zagreb; Faculty of Food Technology and Biotechnology; (Department of Process Engineering); (Laboratory for Measurement, Regulation and Automatisation); Zagreb
• Defense date and country: 2019-09-23, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Food Technology

Abstract

Cilj ovoga rad bio je ispitati potencijal primjene mikrovalova u svrhu ekstrakcije biološki aktivnih molekula iz industrijske konoplje, definirati optimalne procesne uvjeta za provoĎenje procesa ekstrakcije (omjera tekuće-kruto, udjela etanola, vremena ekstrakcije, temperature ekstrakcije i snaga mikrovalova), analizirati dinamiku procesa ekstrakcije te razviti modele neuronskih mreža za predikciju fizikalno-kemijskih svojstava ekstrakata industrijske konoplje na temelju UV-VIS-NIR spektra. Metodom odzivnih površina procijenjeni su optimalni procesni uvjeti: L/S = 30 mL g-1, v/v = 25 %, t = 25 min, T = 45 °C i P = 600 W. Na temelju dinamičkog eksperimenta ekstrakcije zaključeno je da učinkovitost ekstrakcije pokazuje značajan trend porasta vrijednosti do 15. minute procesa, nakon čega vrijeme ekstrakcije više nema utjecaja. TakoĎer na temelju visoke vrijednosti koeficijenta determinacije za testiranje, tretiranje i validaciju modela neuronskih mreža može se zaključiti da je UV-VIS i NIR spektroskopija uspješna metoda za analizu fizikalnih (vodljivost, prinos ekstrakcije) i kemijskih (koncentracija ukupnih polifenola, antioksidacijska aktivnost mjerena DPPH i FRAP metodom) svojstava biljnih ekstrakata.

Abstract (english)

The aim of this study was to investigate the potential of microwaves for extraction of biologically active molecules from industrial hemp, to define optimal process conditions for the extraction process (liquid-solid ratio, ethanol concentration in extraction solvent, extraction time, extraction temperature and microwave power), to analyse the dynamic of the extraction process and to develop neural network models for the prediction of the physical and properties of industrial hemp extracts based on the UV-VIS-NIR spectra. Optimal extraction conditions (L/S = 30 mL g-1, v/v = 25%, t = 25 min, T = 45 ° C and P = 600 W) were estimated by response surface method. The dynamic experiments revealed that extraction efficiency increases up to 15 min of the processes and prolongation of the extraction time has no effect on the extraction efficiency. Also, based on the high values of the coefficient of determination for testing, training and validation of the neural network model, it can be concluded that UV-VIS and NIR spectroscopy is a useful method for the analysis of the physical (conductivity, extraction yields) and chemical (total polyphenols concentration, antioxidant activity of DPPH and FRAP method) properties of the plant extracts.

• Keywords: industrijska konoplja; biološki aktivne molekule; mikrovalovima potpomognuta ekstrakcija; UV-VIS i NIR spektroskopija; optimiranje i modeliranje
• Keywords (english): industrial hemp; biologically active molecules; microwaves assisted extraction; UV-VIS and NIR spectroscopy; optimisation and modelling
• Language: croatian
• URN:NBN: urn:nbn:hr:159:610581
• Study programme: Title: Food Engineering; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka prehrambenog inženjerstva (magistar/magistra inženjer/inženjerka prehrambenog inženjerstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-01-28 13:11:05