Kinetic Mechanism of Hazelnut Oil Extraction with Ultrasound-Assisted Osmotic Dehydration Pretreatment

Abstract

Nowadays, most of the researches focus on enhancing the oil yield by adjusting the various process parameters or searching for alternative techniques. There is only limited information on investigating the effects of various extraction parameters on kinetic mechanism during oil extraction. The mechanism data can provide additional information to the industry when optimization is needed. Previous work had investigated the effect of ultrasound in extraction process. The main purposes of this study are to apply osmotic dehydration as pretreatment and to investigate the effects of ultrasound amplitude, concentration of osmotic dehydration, and dehydration time on extraction mechanism of hazelnut oil. The kinetic modeling showed that So and Macdonald model was more suitable to describe the mechanism of hazelnut oil extraction with higher R 2 values ranged from 0.944 to 0.987 as compared with Perez et al. model. The results showed that applying 30% ultrasound amplitude in dehydration stage could increase the mass transfer coefficient for diffusion step (k d ) from 0.019 to 0.044 min −1 due to cavitation effect. Besides, 15% concentration of osmotic solution could limit the diffusion step with lowest k d value of 0.055 min −1 as compared with 5 and 10% concentrations due to blocking of surface by solute in higher concentration of osmotic solution. Lastly, increasing the dehydration time from 45 to 150 min could enhance the oil diffusion process with k d values increased from 0.058 to 0.075 min −1 due to lower moisture content in sample.

Modeling and experimental assessment of chemical and enzymatic extraction of bioactive components from passion fruit seed oil

“…These models could serve to simulation and design purposes. Other researchers also observed that these same models have led to a good fitting of the extraction kinetics of oils from food matrices, as in the extraction of Mentha spicata and Mentha aquatica L. essential oil, Hazelnut oil, oil from spent coffee grounds, volatile oils from Varronia curassavica and Laurus nobilis and Irvingia gabonensis kernel oil (Agu et al, 2020; Geow et al, 2021; Mehran et al, 2020; Nascimento et al, 2020; Toda et al, 2016).…”

Mathematical modeling of the drying and oil extraction processes of passion fruit seeds using fractional calculus

“…This behavior was also observed with red camu-camu, Mentha aquatica L. essential oil, oil from spent coffee grounds and Invingia gabonensis kernel oil. 25,26,[31][32][33][34][35] Furthermore, the type of solvent used for the extraction of the oil significantly impacts the extraction efficiency due to the polarity of the compounds and the solvent used. It is possible to analyze from Figs.…”

Pretreatment effect of osmotic dehydration on ultrasound‐assisted solvent extraction: Functional properties of defatted hazelnut meal

“…Furthermore, the results showed that higher percentage of protein was obtained (7% higher) when increasing the temperature from 28 to 48°C. The increase in percentage of protein could be due to more oil molecules were diffused out from the sample into hexane during solvent extraction stage (Geow et al, 2021c). Lower oil content in the sample increased the purity of protein with higher weight of protein obtained in per gram of defatted flakes.…”