Bidimensional modeling applied to oil extraction kinetics of microwave-pretreated canola seeds

J Food Process Engineering

2017

In this work, a multi‐layer feedforward artificial neural network (ANN) was used for modeling and predicting the oil extraction yields of three canola samples with three pretreatments (unpretreatment, hydrothermal, and microwave pretreatment), considering extraction time and temperature as variables. Based on the results of the training, validation, and testing of the network, a neural network with eleven neurons in one hidden layer was selected as the best architecture for predicting the oil extraction yield response. Results obtained by the ANN model were compared with models from the literature (modified Fick's diffusion models), generally obtaining a more accurate fit with the ANN model. Practical applications Existing models of canola oil extraction kinetics have some limitations since they are not able to describe various conditions, such as variability among samples and pretreatments. Artificial neural networks (ANN) are powerful and high‐precision computational statistical modeling techniques that can address different problems. The aim of this work was to model the kinetics of canola oil extraction under different conditions (varying temperature, samples of canola, pretreatments applied) with an ANN, which presents several advantages over other reported models, allowing to describe a process that depends on many variables even when the data are incomplete or contain errors, thus facilitating its industrial application.

Section: Resultsmentioning

confidence: 79%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Artificial neural network model for the kinetics of canola oil extraction for different seed samples and pretreatments

Sánchez

J Food Process Engineering

2017

Hexane‐Free Green Solvent Extraction of Canola Oil From Microwave‐Pretreated Seeds and of Antioxidant‐Rich Byproducts

Sánchez

Euro J Lipid Sci & Tech

2018

The ethanol extraction from microwave‐pretreated and untreated canola seeds is studied. Two process are used to obtain the oil: in a control process (P1), the solvent‐free total extract (E) is washed with hexane, obtaining an oil fraction (OF). The second process (P2) consists of the partial evaporation of the solvent of the total extract (E), cooling, centrifugation, and separation by decantation of the generated phases: oil‐rich phase (OF + Ethanol), solvent‐rich phase (EthF + Ethanol), and solid phase (SF); and then evaporating the solvent to obtain OF and an extract of soluble in the phase rich in ethanol (EthF). No significant differences due to microwaves are detected in the yields. P2 gave mean yields of 32.8%db of OF, lower than obtained with P1 (42.1%db), 4.2%db of precipitated solids, and 7.7%db of EthF, which present a mean content of hexane‐solubles of 5.1%db. However, the quality analysis shows a smaller oxidative damage and an increase in canolol content due to the microwaves. P2 also generates an antioxidant‐rich byproduct, allowing to recover the canolol prior to a refining stage of the oil. Practical Applications: The use of organic solvents for the extraction of vegetable oils have some disadvantages, such as health and safety problems. At the same time, ethanol has begun to be studied as an alternative solvent due to its lower production costs than other alternative solvents, and to the fact that it is recognized as a “bio‐renewable” solvent. Numerous studies have shown the extraction of oil and impurities obtained with ethanol. However, no method have been developed for obtaining an insoluble‐free canola oil from the extract obtained with ethanol without using hexane. In addition, a favorable effect of the canolol content pretreated with microwaves in the canola oil is reported, nevertheless, the canolol is eliminated during the refining stage of the crude oil. The hexane‐free development process allows to obtain canola oil and an antioxidant‐rich byproduct, allowing to recover the canolol prior to a refining stage of the oil. Green solvent (ethanol) extraction from microwave‐pretreated canola seeds and a hexane‐free separation process is developed. The results show a high yield of canola oil and the production of an antioxidant‐rich byproduct.

High Stearic High Oleic Sunflower Oil Extraction: Influence of Temperature, Moisture, and Dehulling on Kinetic Parameters

Figueiredo

Euro J Lipid Sci & Tech

2023

In the present work, the influence of temperature, moisture content, and dehulling on the kinetic parameters of the oil extraction of high stearic high oleic (HSHO) sunflower seeds is analyzed. A modified Fick's diffusion model that considers extraction as the sum of two components (diffusion and washing) is used. The washing fraction (M 0 /M ∞ ) and diffusion coefficients (D eff ) are calculated taking into account the number of terms appropriate to each case. The statistical analysis shows a dependence of the washing fraction on temperature in the 40-50 °C range, while no statistical differences are detected in the 50-60 °C range. Although there are changes in the model parameters with the moisture content of the seeds (7.8%, 6.9%, and 4.8% dry basis), no specific trend is evidenced. The effective diffusion coefficient for the dehulled sample (1.48 ± 0.13 × 10 −12 m 2 s −1 ) is 60% higher than that of the unshelled sample (0.95 ± 0.05 × 10 −12 m 2 s −1 ). The extraction kinetics of tocopherols at 50 °C is also analyzed. Practical Applications: The manuscript performs an analysis of different factors that influence the extraction of oil from high stearic high oleic (HSHO) sunflower seeds, which directly affect the efficiency of the oil extraction process. The results of this study provide useful information for a joint evaluation of oil extraction yields and costs resulting from the processing of a non-conventional sunflower hybrid, promoting, in addition, the development of healthy high value-added oils.