Application of a novel approach to modelling the supercritical extraction kinetics of oil from two sets of chia seeds

https://doi.org/10.1016/j.jiec.2019.10.029Get rights and content

Abstract

The kinetics of the supercritical fluid extraction of edible and discarded chia seeds was studied and modelled for the first time. The total oil was removed at 45 MPa and 60 °C after 240 min. The extraction kinetics was simulated using a dynamic model in gPROMS ModelBuilder environment and the kinetic parameters estimated. Triolein was chosen as a model compound of the chia oil. The agreement between the experimental yields and those calculated by the model was good with deviations in the range (1.2–6.6) %, except at 25 MPa and 60 °C (AARD = 9.5%).

Introduction

At present, there is a constant search of promising and inexpensive vegetal materials as a source of polyunsaturated fatty acids (PUFAs). Chia (Salvia hispanica L.), a plant indigenous to Guatemala and Mexico, which belongs to the Lamiaceae family, is attracting a great attention, especially the seeds. Chia seeds are being studied as a source of food ingredients, such as proteins and dietary fiber [1], [2], [3], but they mainly stand out for their high oil content (20–35 mass %). Chia seed oil contains significant amounts of PUFAs, mainly the omega-3 α-linolenic acid (ALA) (60–65% of total fatty acids) [4], which role in the prevention of cardiovascular, nervous system and inflammatory diseases has been thoroughly described [5], [6].

Thus far, different solvents (ethyl acetate, acetone, propane, petroleum ether and hexane) and extraction techniques (cold and hot pressing, Soxhlet, Ultrasound-Assisted Extraction and Pressurized Liquid Extraction) have been applied to obtain chia seed oil [7], [8], [9], [10], [11]. A viable and eco-friendly alternative to the use of organic toxic solvents is the extraction with supercritical CO2 (scCO2), which is non-toxic, non-flammable, non-mutagenic and carcinogenic and is abundant and inexpensive. Moreover, due to the possibility of working at low temperatures and in the absence of oxygen, supercritical extraction with scCO2 (SCE) prevents or minimizes the degradation of bioactive compounds and allows obtaining solvent-free products [12]. New developments regarding the application of this advanced technique to obtain oils were reported recently in the literature. For example, Wei et al. [13] employed ultrasound-assisted supercritical carbon dioxide extraction for removing oleanolic acid and ursolic acid from Hedyotis corymbose. The experimental solubility data, called by the authors fictitious, were read from the initial slope of the curve of the extraction yield versus the amount of scCO2 used, and were modelled applying several semi-empirical density-based models. Moon et al. [14] studied the scCO2 extraction, with and without co-solvent (ethanol) of the essential oil from Asiasarum heterotropoides and the results obtained were compared with conventional extraction. In another study [15], turmeric (Curcuma longa L.) was extracted with scCO2 and turmerones were concentrated using semi-preparative supercritical chromatography. Supercritical fluid extraction with a co-solvent was also applied to extract oil from rice bran with the aim to promote the valorization of this abundant feedstock [16]. Concerning SCE of chia seed oil, as far as we are aware, only a few studies have been carried out till present [17], [18], [19], [20]. In those, the concentration of ALA achieved in the extracted oil was approximately (60–65) %, hence SCE process allowed obtaining healthy and high-quality oils regardless of the operational parameters applied.

It is known that kinetic data are essential for the realization of a feasible industrial process. However, despite the aforementioned and the possibilities to realize a viable industrial process, kinetic data are not only scarce and superficial, but also, as far as we are aware, there are no attempts related to the modelling of SCE of oil from chia seeds reported in the literature till present. Accordingly, two were the objectives of this work: i) to provide new data on the scCO2 extraction of chia oil and ii) to apply a novel approach to the extraction kinetics modelling, advocated originally by Sovová and Stateva [21]. This approach reflects the interaction between kinetics and phase equilibria (solubility) and applies a reliable and versatile modelling framework to estimate the solubility of the oil in the supercritical fluid, as discussed in detail in Section “Supercritical fluid extraction of chia oil — modelling framework”.

To achieve the objectives of our work, edible chia seeds (ECS), and discarded seeds (DCS) were studied. Particularly for the latter, the present investigation can be of considerable interest as it will provide information on how to intensify further their valorization and industrial applications. So far, the studies reported in the literature have been carried out by using ECS. Chia seeds employed in the present study were subjected to a selection process in which the seeds were classified in different qualities mainly based on their weight, intactness, color, visual aspect and size. Thus, DCS consist of damaged, partially broken and/or smaller-size and lower-weight seeds that are usually discarded during post-harvest handling and finally intended to animal feeding. Their price, as a consequence of the market surplus of this product, is considerably lower than that of ECS. Even though they are an underutilized raw material, DCS possess a noteworthy amount of oil and may constitute a viable alternative source for obtaining highly polyunsaturated chia seed oils to be used in human health care formulations.

Section snippets

Sample preparation

The two different sets of chia seeds (Salvia hispanica L.) originating from Mexico were purchased from a local supplier (Primaria). The oil content for each set of seeds (28.3% and 19.9% mass for ECS and DCS, respectively) was determined by pressurized liquid extraction by using a 2:1 chloroform:methanol mixture at 60 °C and 10 min of extraction time [22]. These results are in agreement with the values provided by the supplier for each set (25.2% and 20.6%, respectively). In what follows we

Supercritical CO2 extraction

The experimental kinetic curves, obtained for the SCE of chia oil from DCS and ECS are displayed on Fig. 1a and b, respectively. For DCS, the extraction yield (mass of oil/mass of seeds) increased with pressure and temperature, and was in the range from 13.3% (at 25 MPa and 40 °C) to 18.6% (at 45 MPa and 60 °C) after 240 min extraction time (Fig. 1a).

At the experimental conditions studied in this work, a crossover effect on the overall extraction yield was not observed. Rocha Uribe et al. [19]

Conclusions

This work presents for the first time the results of modelling the experimental kinetics data of SCE of oil from two sets of chia seeds, ECS and DCS. The SCE experiments demonstrated that the highest oil yield (18.6%) obtained from DCS was achieved at the highest pressure and temperature applied (45 MPa and 60 °C). Furthermore, at these operational conditions practically all the oil was exhausted (93.5% oil recovery). As can be expected, the extraction yields achieved from ECS, as compared to

Declarations of interest

None.

Acknowledgements

J. A. P. Coelho, R. M. Filipe and R. P. Stateva acknowledge the funding received from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 778168. J. A. P. Coelho, and R. M. Filipe acknowledge the funding received from Fundação para a Ciência e a Tecnologia, Portugal, under projects UID/ECI/04028/2013 and UID/QUI/00100/2013. Chia seeds were generously supplied by PRIMARIA (www.primaria.biz).

References (35)

  • M.I. Capitani et al.

    Food Hydrocoll.

    (2016)
  • E. Reyes-Caudillo et al.

    Food Chem.

    (2008)
  • G. Barceló-Coblijn et al.

    Progr. Lipid Res.

    (2009)
  • C. Galli et al.

    Prostag. Leukotr. Ess. Fatty Acids

    (2006)
  • G. Brunner

    J. Food Eng.

    (2005)
  • M. Wei et al.

    J. Ind. Eng. Chem.

    (2017)
  • J.N. Moon et al.

    J. Ind. Eng. Chem.

    (2019)
  • M. Topiar et al.

    J. Ind. Eng. Chem.

    (2019)
  • O. Benito-Román et al.

    J. Ind. Eng. Chem.

    (2019)
  • V.Y. Ixtaina et al.

    J. Supercrit. Fluids

    (2010)
  • G. Scapin et al.

    J. Supercrit. Fluids

    (2017)
  • M.P. Castro-Gomez et al.

    J. Dairy Sci.

    (2014)
  • D. Villanueva-Bermejo et al.

    J. Supercrit. Fluids

    (2017)
  • P. Castro-Gómez et al.

    Talanta

    (2014)
  • V.Y. Ixtaina et al.

    J. Food Compos. Anal.

    (2011)
  • Y.P. Timilsena et al.

    Food Chem.

    (2017)
  • K. Araus et al.

    J. Food Eng.

    (2009)
  • Cited by (7)

    • Modeling of supercritical fluid extraction bed: A critical review

      2023, Chemical Engineering Research and Design
    • Development of an innovative strategy capable of describing the large-scale extraction of tucumã-of-Pará oil (Astrocaryum vulgare Mart.) using supercritical CO<inf>2</inf> as solvent

      2023, Journal of Supercritical Fluids
      Citation Excerpt :

      The huge amount of parameters involved in supercritical extraction makes scaling-up studies even more challenging for the implementation of supercritical technology at an industrial level, and all these factors reinforce the need for a predictive equation capable of describing the different types of overall extraction curves. Over the past 20 years, remarkable advances have been made in the development of supercritical fluid extraction process that focused on mathematical modeling based on mass transfer mechanism [10–22]. However, only few research studies have been reported which employ mathematical modeling focused on scale-up studies [23], despite the proved potential of supercritical fluid extraction for industrial, economic, and scientific benefit.

    • Modelling of wine vinegar acetification bioreactor: Global sensitivity analysis and simplification of the model

      2022, Journal of Industrial and Engineering Chemistry
      Citation Excerpt :

      To achieve the above objectives, the modelling of the processes is a task of enormous importance, since it allows proposals to be made that represent the complex interactions between all the variables that must be considered and, in this way, carry out an analysis and optimization of which should be the operational conditions to be used. Mathematical models are invaluable tools in many fields of science and engineering [1–3] where, independently of their type (first-principles models, black-box models, etc.), they are used for a broad range of applications like evaluating scenarios, explore cause-effect relations, decision-making, etc [4]. Although the modelling of any process is a difficult task, when working with bioprocesses, the complexity is usually very high; biotechnological processes involve complex mechanisms which are usually translated into models typically oriented to make predictions or to optimize their performance with objective functions like productivity, reaction rates, etc [5].

    • Optimization and characterization of chia seed (Salvia hispanica L.) oil extraction using supercritical carbon dioxide

      2021, Journal of CO2 Utilization
      Citation Excerpt :

      Response surface methodology (RSM) using central composite design (CCD) is a useful statistical tool for optimizing the extraction parameters in SFE to evaluate their impacts on oil recovery from plant seeds [17–19]. Regardless of the temperature used, applying SC−CO2 for oil extraction from chia seed confirmed that with high pressure, had increased the oil yield due to the rise in density and solvation power of SC−CO2 [7,11,20–22]. Only a study reported the impact of temperature (40, 60 and 80 °C), pressure (250, 350 and 450 bar) and time (60, 150 and 240 min) using SFE and RSM to predict the optimal conditions for maximum yield of chia seed oil [22].

    • On-line spectroscopic study of brominated flame retardant extraction in supercritical CO<inf>2</inf>

      2021, Chemosphere
      Citation Excerpt :

      Also, ScCO2 extraction of BFRs has been proven to be of varying degrees of success in terms of the extraction efficiency with or without co-solvents (Marioth et al., 1996; Suzuki et al., 2002; Altwaiq et al., 2003). Nevertheless, challenges from the investigation of extraction kinetics to validate process scale-up and develop successful industrial processes remained (Nimet et al., 2011; Sodeifian et al., 2016; Villanueva-Bermejo et al., 2020). To our knowledge, there have only been few of such studies reported previously, either off-line or on-line, for BFR extraction (Bunte et al., 1996; Wang et al., 2004).

    View all citing articles on Scopus
    View full text