Ultrasound induced green solvent extraction of oil from oleaginous seeds

Sicaire, Anne-Gaëlle; Vian, Maryline Abert; Fine, Frédéric; Carré, Patrick; Tostain, Sylvain; Chémat, Farid

doi:10.1016/j.ultsonch.2016.01.011

Cited by 150 publications

(70 citation statements)

References 29 publications

(29 reference statements)

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“…It should be highlighted that degradation of sensitive biomolecules could occur during UAE by increase temperature or ultrasonic power. This has been observed in case of recovery of lipids from oleaginous Yarrowia lipolytica yeast for a biojetfuel application (Meullemiestre, Breil, Abert‐Vian, & Chemat, ) and oil from oleaginous seeds (Sicaire et al, ). In present study, temperature exhibited positive influence of polyphenols and antioxidant activity parameters (Figure ) suggesting that undesirable degradation of target compounds did not occur.…”

Section: Resultsmentioning

confidence: 77%

Screening, influence analysis and optimization of ultrasound‐assisted extraction parameters of cornelian cherries (Cornus masL.)

Vakula

Šumić

Zeković

et al. 2019

J Food Process Preserv

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Cornelian cherries were used as raw material for extraction of polyphenols with high antioxidant capacity by ultrasound‐assisted extraction. Factorial design was used for preliminary experiments in order to determine the most influential factors (temperature, extraction time, ethanol concentration, ultrasonic power, and liquid–solid ratio). In next step, face‐centered central composite experimental design with response surface methodology was used for multiresponse optimization in terms of maximized yields of polyphenols (phenols, flavonoids, and anthocyanins) and antioxidant activity parameters (DPPH, ABTS, and FRAP assays). Temperature (40–80°C), extraction time (20–60 min), and ethanol concentration (20%–60%) were investigated as independent variables. Experimental results were fitted to second‐order polynomial model and analysis of variance was used to determine fitness of the model and optimal conditions. The optimal conditions for multiresponse maximization were temperature of 80°C, extraction time of 54.8 min, and ethanol concentration of 28.2% with desirability function of 0.916. Practical applications Nowadays, focus of natural products processing is aimed toward development of novel, green and economically feasible techniques and utilization of agricultural and food industry waste streams as raw material for recovery of valuable bioactive compounds. Furthermore, novel procedures should be optimized to increase yield and target compounds and minimize resource (solvent, time, and energy) consumption. This research represents investigation of underutilized fruit, that is, cornelian cherry, as a source of bioactive compounds with antioxidant activity. The paper provides information about optimization of ultrasound‐assisted extraction and utilization of dried cornelian cherries as alternative raw material for production of polyphenol‐rich extracts.

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Section: Resultsmentioning

confidence: 77%

Screening, influence analysis and optimization of ultrasound‐assisted extraction parameters of cornelian cherries (Cornus masL.)

Vakula

Šumić

Zeković

et al. 2019

J Food Process Preserv

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“…The result of sample preparation is discussed and shown in Supporting Information, Fig. S3, S4, and Table S1 .…”

Section: Resultsmentioning

confidence: 99%

New approach applying a pet fish air pump in liquid‐phase microextraction for the determination of Sudan dyes in food samples by HPLC

Sricharoen

Limchoowong

Techawongstien

et al. 2017

J of Separation Science

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A new approach applying a pet fish air pump is introduced to develop an extraction method, namely, air-pump-enhanced emulsion, followed by salt-assisted emulsion breaking based on solidified floating organic drop microextraction for the extraction and preconcentration of Sudan I-IV before high-performance liquid chromatography. The applicability of this method was successfully demonstrated by determination of these dyes in four chili products that include chili powder, chili oil, chili sauce, and chili paste. An enrichment factor of 62 was obtained only with a sample solution of 5 mL. A linear range of 0.5-2500 ng/mL was obtained with a limit of detection of 0.16-0.24 ng/mL and recovery of 90-110%. This method is superior to other liquid-liquid extraction methods, as is simple, rapid, environmental friendly, and its phase separation needs no centrifugation. It also needs no disperser solvent and requires less organic solvent, and satisfies the criteria to be called as a green extraction. Therefore, this facile extraction method can be successfully applied in the determination of Sudan dyes in food samples.

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“…(6) were constructed. [36] For instance, Jiang et al, reported that ultrasound treatment considerably increased the primary oxidation and PV of the extracted oils. The high ultrasonic time especially at most levels of the cellulase concentration of 2% ( Figure 3A) and at most levels of the pH of 5.5 (Figure 3 B) increased the PV response of the extracted oil.…”

Section: Effect Of Process Variables On the Pv Responsementioning

confidence: 99%

The Study of Ultrasound‐Assisted Enzymatic Extraction of Oil From Peanut Seeds Using Response Surface Methodology

Heidari

Dinani

2017

Euro J Lipid Sci & Tech

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The present study evaluates the suitability of ultrasound pretreatment in n‐hexane solvent as well as enzymatic treatment with cellulase enzyme to extract oil from peanut seed powders. To optimize this process, the effects of ultrasonic time (0–70 min), cellulase enzyme concentration (0–2%) and pH (4–5.5) are investigated on peanut oil extraction yield (EY) as well as the quality attributes of the extracted oil containing total phenolic content (TPC), peroxide value (PV), and color parameters of L, a, and b using response surface methodology (RSM). The optimum condition of ultrasound‐assisted enzymatic extraction using n‐hexane solvent (UAEE) is found as ultrasonic pretreatment time of 33.23 min, cellulase concentration of 1.47%, and pH of 4.61 before incubation process at temperature of 56 °C for 120 min. Scanning electronic microscopy (SEM) represented considerable interspaces, holes, and porous structure of peanut meal after optimal UAEE treatment compared to that after shaking incubation extraction using n‐hexane solvent (SIE). It is found that the peanut oil extracted by optimal UAEE treatment had considerable high levels of L color parameter and TPC and significantly more EY and b color parameters than those extracted by SIE, ultrasound‐assisted aqueous enzymatic extraction (UAAEE), and aqueous shaking incubation extraction (ASIE) treatments. Practical Applications: This paper describes an innovative oil extraction method of ultrasound‐assisted enzymatic process using n‐hexane solvent. This new extraction technique makes it possible to increase the extraction yield, total phenolic content, and yellowness of extracted peanut oil. The results illustrated that ultrasound‐assisted enzymatic extraction using n‐hexane solvent method was a far more efficient extracting technique than the individual shaking incubation extraction using n‐hexane solvent, ultrasound‐ assisted aqueous enzymatic extraction and aqueous shaking incubation extraction treatments and would be a promising alternative for conventional oil extraction techniques. Comparison of two treatments of optimal ultrasound‐enzymatic extraction and individual shaking incubation extraction of oil from peanut seed powders.

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Ultrasound induced green solvent extraction of oil from oleaginous seeds

Cited by 150 publications

References 29 publications

Screening, influence analysis and optimization of ultrasound‐assisted extraction parameters of cornelian cherries (Cornus masL.)

Screening, influence analysis and optimization of ultrasound‐assisted extraction parameters of cornelian cherries (Cornus masL.)

New approach applying a pet fish air pump in liquid‐phase microextraction for the determination of Sudan dyes in food samples by HPLC

The Study of Ultrasound‐Assisted Enzymatic Extraction of Oil From Peanut Seeds Using Response Surface Methodology

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