Characterization of packed beds of plant materials processed by supercritical fluid extraction

Nagy, B.; Simándi, Béla; András, Csaba

doi:10.1016/j.jfoodeng.2008.01.019

Cited by 17 publications

(6 citation statements)

References 33 publications

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“…The values obtained are in a good agreement with those of other authors who reported application of [31] to different matrices, e.g., extraction of Baizhu [38]; recovery of oil from corn germ, pumpkin seeds, calendula flowers, and paprika fruits [39]; essential oil from black pepper [40], rosehip seeds [41], and Helichrysum italicum [42].…”

Section: Mathematical Models Based On Differential Mass Balancessupporting

confidence: 90%

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Optimization of Oil Recovery from Japonica Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling

et al. 2022

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This study presents an optimization strategy for recovery of oil from Japonica Luna rice bran using supercritical carbon dioxide (scCO2), based on design of experiments (DoE). Initially, a 24−1 two level fractional factorial design (FFD) was used, and pressure, temperature, and scCO2 flow rate were determined as the significant variables; while the yield, total flavonoids content (TFC), and total polyphenols content (TPC) were the response functions used to analyze the quality of the extracts recovered. Subsequently, central composite design (CCD) was applied to examine the effects of the significant variables on the responses and create quadratic surfaces that optimize the latter. The following values of pressure = 34.35 MPa, temperature = 339.5 K, and scCO2 flow rate = 1.8 × 10−3 kg/min were found to simultaneously optimize the yield (6.83%), TPC (61.28 μmol GAE/g ext), and TFC (1696.8 μmol EC/g ext). The fatty acid profile of the oils was characterized by GC-FID. It was demonstrated that the acids in largest quantities are C16:0 (15–16%), C18:1 (41%), and C18:2 (38–39%). Finally, three mass transfer models were applied to determine the mass transfer coefficients and assess the cumulative extraction curves, with an AAD% of 4.16, for the best model.

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Section: Mathematical Models Based On Differential Mass Balancessupporting

confidence: 90%

“…oil from corn germ, pumpkin seeds, calendula flowers, and paprika fruits [39]; essential oil from black pepper [40], rosehip seeds [41], and Helichrysum italicum [42].…”

Section: Mathematical Models Based On Differential Mass Balancesmentioning

confidence: 99%

Optimization of Oil Recovery from Japonica Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling

et al. 2022

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“…Once these parameters were estimated, the mass transfer coefficients for solid and liquid phases were calculated. The solid phase mass transfer coefficient presented an order of magnitude of 10 −9 (m/s) which agrees with the values obtained by Scopel et al [67] and Nagy et al [68]. The mass transfer coefficient for the solvent was found to equal 9.6 × 10 −10 m/s, whose order of magnitude is the same as found by Gallo et al [69] when studying the supercritical extraction of pyrethrum flowers.…”

Section: Step Ii-the Optimization Of Sfe Of P-anisic Acid and The Mathematical Modeling Of Mass Transfersupporting

confidence: 89%

The Response Surface Optimization of Supercritical CO2 Modified with Ethanol Extraction of p-Anisic Acid from Acacia mearnsii Flowers and Mathematical Modeling of the Mass Transfer

Silva¹,

Júnior²,

Almeida³

et al. 2022

Molecules

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A widely disseminated native species from Australia, Acacia mearnsii, which is mainly cultivated in Brazil and South Africa, represents a rich source of natural tannins used in the tanning process. Many flowers of the Acacia species are used as sources of compounds of interest for the cosmetic industry, such as phenolic compounds. In this study, supercritical fluid extraction was used to obtain non-volatile compounds from A. mearnsii flowers for the first time. The extract showed antimicrobial activity and the presence of p-anisic acid, a substance with industrial and pharmaceutical applications. The fractionation of the extract was performed using a chromatographic column and the fraction containing p-anisic acid presented better minimum inhibitory concentration (MIC) results than the crude extract. Thus, the extraction process was optimized to maximize the p-anisic acid extraction. The response surface methodology and the Box–Behnken design was used to evaluate the pressure, temperature, the cosolvent, and the influence of the particle size on the extraction process. After the optimization process, the p-anisic acid yield was 2.51% w/w and the extraction curve was plotted as a function of time. The simulation of the extraction process was performed using the three models available in the literature.

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“…In this modeling, internal and external mass transfer coefficients as model factors (parameters) have been employed for regression of experimental data. Soybean oil 46, rosemary oil 47, Plumula nelumbinis oil 48, pumpkin seed oil 49, paprika fruit seed oil 49, and Kinjuk seed oil 33 can be mentioned as examples. The results indicated that k f was generally 2–4 orders of magnitude larger than k s for all experiments.…”

Section: Resultsmentioning

confidence: 99%

Experimental Optimization and Modeling of Supercritical Fluid Extraction of Oil from Pinus gerardiana

2021

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The influence of different temperatures, pressures, and flow rates on the supercritical fluid extraction (SFE) of oil from Pinus gerardiana was investigated. Extraction was designed using the Box‐Behnken design and artificial neural network. Furthermore, a mathematical model of broken and intact cells was applied to consider mass transfer kinetics of extracted natural materials. The experimental oil extraction was performed by Soxhlet and supercritical carbon dioxide methods and the yield and composition of the obtained oils was compared. Although the yield of the SFE process was lower than that of the Soxhlet extraction, the SFE presented the advantage of shorter extraction time and lower temperatures. Also, the chemical compositions of the obtained oils from Soxhlet and SFE processes were the same.

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Characterization of packed beds of plant materials processed by supercritical fluid extraction

Cited by 17 publications

References 33 publications

Optimization of Oil Recovery from Japonica Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling

Optimization of Oil Recovery from Japonica Luna Rice Bran by Supercritical Carbon Dioxide Applying Design of Experiments: Characterization of the Oil and Mass Transfer Modeling

The Response Surface Optimization of Supercritical CO2 Modified with Ethanol Extraction of p-Anisic Acid from Acacia mearnsii Flowers and Mathematical Modeling of the Mass Transfer

Experimental Optimization and Modeling of Supercritical Fluid Extraction of Oil from Pinus gerardiana

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