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![]() American Journal of Analytical Chemistry, 2013, 4, 763-770 Published Online December 2013 (http://www.scirp.org/journal/ajac) http://dx.doi.org/10.4236/ajac.2013.412093 Open Access AJAC Supercritical Equilibrium Data of the Systems Carbon Dioxide—Linalool and Carbon Dioxide—Orange Essential Oil Claudio Capparucci, Sara Frattari, Fausto Gironi Dipartimento di Ingegneria Chimica Materiali Ambiente, “Sapienza” Università di Roma, Rome, Italy Email: [email protected] Received October 5, 2013; revised November 12, 2013; accepted November 28, 2013 Copyright © 2013 Claudio Capparucci et al. This is an open access article distributed under the Creative Commons Attribution Li- cense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT In this paper experimental equilibrium data on the system supercritical CO2-orange essential oil and the system super- critical CO2-linalool are reported at 323.15 K and 343.15 K, for pressures in the ranges of 7.6 - 13.5 MPa. The behavior of the system supercritical CO2-orange essential oil was represented by means of thermodynamic model, based on Peng-Robinson equation of state. To this aim the orange essential oil was represented by a mixture of limonene, linalool and β-caryophyllene, selected to represent the classes of monoterpenes, oxygenated terpenes and sesquiterpenes respec- tively. The model uses only regression parameters calculated from binary sub-systems, CO2-limonene and CO2- β-caryophyllene (taken from literature) and CO2-linalool (calculated from the fitting of original data reported in the present work) thus being predictive with respect to the multicomponent mixture. Keywords: Supercritical; Extraction; Carbon Dioxide; Orange Essential Oil; Linalool; Phase Equilibrium 1. Introduction The so called citrus essential oils are by means of a me- chanical extraction process: they are extensively used in the food (beverage, sweets etc.), cosmetics and pharma- ceutical industry, mainly because of its fragrance and flavor. These natural matrices are very complex and contain an extremely large number of components (more than one hundred), and, in the classical approach, components are lumped in classes of homogeneous physical and chemical characteristics. Each class is then represented by a single component (the component showing the higher concentration is the one usually chosen). In the field of citrus essential oils three classes of more or less volatile components are usually considered: the monoterpenes, unsaturated hydrocarbon with 10 carbon atoms, the oxy- genated terpenes which show the same number of carbon atoms but contain an oxygenated group (alcoholic, ald- heidic, esteric or ketonic) and the sesquiterpenes, mole- cules with a higher number (15) of carbon atoms [1]. Citrus essential oils are characterized by different concentrations of the three classes of compounds; in par- ticular lemon essential oil has a content of terpenes lower (approximately 94%) than the ones contained in orange essential oil (98% - 99%). On the contrary the monoter- pene concentration in bergamot essential oil is very dif- ferent (equal to about 50%) [2,3]. The fragrance of the oil mainly depends on the type and concentration of oxygenated components present in it, while the terpenes provide a very poor contribution. The deterpenation process consists in the selective extraction of terpenes from natural matrix, thus producing a more valuable raf- finate enriched in oxygenated compounds [4-6]. This process can be carried out through a thermal process (mainly vacuum distillation) or by supercritical extrac- tion with CO2 as solvent. In fact supercritical CO2 has a solvent power on monoterpene compounds higher than the power it has on the oxygenated ones, so an extract enriched in monoterpenes and a raffinate enriched in oxygenates can be obtained. The extraction process may be continuous or discon- tinuous and can be carried out in different apparatus (a simple extraction vessel or a countercurrent column with enrichment and exhaustion sections, with internal or ex- ternal reflux). The modelization and optimization of the C. CAPPARUCCI ET AL. 764 extraction equipment require the knowledge of the equi- librium data of the system CO2-natural complex mixture (for example orange essential oil), as a function of opera- tional temperature and pressure. Such experimental data are generally poor, except in the case of lemon essential oil, which has been studied most extensively [7-10]. Anyway the available experimental data generally refer to solubility data e.g. data on solubility of CO2 in the oil and solubility of oil in supercritical CO2. In some works the CO2-citrus essential oil system is assimilated to a pseudo binary system and no information is given about the equilibrium concentrations of main classes of com- ponents (monoterpenes, oxygenated terpenes and ses- quiterpenes) in supercritical and liquid phases. Just a few orange essential oil experimental data are actually available, furthermore, the oil is assimilated to a two pseudocomponents [11,12], monoterpenes and “aroma” components. The aim of this paper is to present experimental equilibrium data of the system CO2-orange essential oil. In particular, in the range of temperature and pressure widely used in deterpenation process (i.e. temperatures ranging from 323.15 K to 343.15 K and pressures from 7 to 13 MPa), solubility data and equilib- rium concentration data of CO2 and different classes (monoterpenes, oxygenated terpenes and sesquiterpenes), in supercritical and liquid phases will be presented. This approach is similar to the one followed recently to study the system CO2-Lemon essential oil [10]. Furthermore, the thermodynamic modelization of the system CO2-orange essential oil will be presented by means of Peng Robinson equation of state (PREOS). As pointed out above, the complex mixture is assimilated to a simple mixture of the components that are assumed to represent each class. For example in the previous papers dealing with lemon essential oil [5,6,10], limonene, citral e β-caryophyllene have been assumed to represent mo- noterpene, oxygenated terpenes and sesquiterpene classes. In the modelization only binary interaction parameters between CO2 and each component in the mixture repre- senting the oil are used to increase the reliability of the method. These parameters are obtained from regression of binary equilibrium data of the systems CO2-limonene, CO2-Citral, CO2-β-caryophyllene in the temperature range of interest, and its values are reported in literature. Dealing with orange essential oil, the same compounds can be selected to represent monoterpene and sequiter- pene classes, but for oxygenate class another compound, linalool, is more suitable for the modelization of the whole class, instead of cytral. Unfortunately scarce experimental data about the sys- tem CO2-linalool are available, so equilibrium data about this system at temperature of 323.15 K and 343.15 K and pressure ranging from 7.6 to 13.2 MPa have been meas- ured in this work. Optimal values of binary interaction parameters for the system CO2-linalool have been deter- mined by the fitting of experimental data by means of PR EOS. Once all the binary interaction parameters are avail- able and after having defined the concentration of vari- ous components in the oil, the model can be applied to the modelization of the CO2-orange essential oil system. The method is purely predictive because no other regres- sion parameter has been used to represent equilibrium data of the multicomponent system CO2-orange essential oil. A comparison between predicted and experimental values of equilibrium data of the system CO2-orange essential oil shows that the model is able to represent both solubility data and equilibrium compositions of liq- uid and supercritical phases at 323.15 K and 343.15 K. In particular this model correctly evaluates equilibrium ra- tios of the four components in the mixture (CO2, limo- nene, linalool and β- caryophyllene) at different opera- tional pressure and temperature: therefore, the model can be used in a process simulator to design and to optimize the deterpenation equipment. 2. Materials and Methods 2.1. Materials The essential oil used in this work was purchased from Simone Gatto (Sicily, Italy), and was obtained by cold- pressing orange peels. The oil was stored at 248 K and filtered before use in order to remove waxes. The compo- sition of the oil was determined by means of Gas Chro- matographic (GC) analysis, according to the procedure reported in detail elsewhere [5]. All components reported in the GC analysis of orange oil were grouped in terms of the three main classes of compounds: monoterpenes (mt), oxygenated terpenes (ox), and sesquiterpenes (st). The mean composition of the feed oil, obtained from five GC analyses, resulted to be (mass percent, average value and standard deviation): mt 99.05% ± 0.25%, ox 0.82% ± 0.21% and st 0.13% ± 0.05%. The same proce- dure, repeated five times, was also applied in the meas- urements of the composition of supercritical and liquid phases in the equilibrium experiments. CO2 used in this work is 99.9% pure (Siad, Italy). Li- nalool (dimethyl-1,6-octadien-3-ol) 97% pure was pur- chased from Sigma-Aldrich (FW 154.25) and was used without further purification Ethanol p.a. 99.8% (Fluka Chemical), was utilized to dilute (1:10) the samples of oil before the GC analysis. 2.2. Experimental Methods The apparatus used in the present work was developed and utilized in previous works [13-15] dealing with high-pressure phase equilibrium measurements of binary Open Access AJAC ![]() C. CAPPARUCCI ET AL. 765 systems composed of CO2 and relevant compounds of lemon essential oil and measurements of the pseudo bi- nary system CO2-lemon essential oil [10]. In particular work [13] reports a detailed description of both the ap- paratus and the experimental methodology. The experimental plant is composed of two cylindrical chambers of 170 cm3 each (i.d. 16 mm), equipped with heating jackets for temperature control. One of the two chambers (the equilibrium chamber) is initially loaded with about 30 grams of liquid (linalool or orange essen- tial oil) whereas the other (gas chamber) is initially empty. At the beginning of the run CO2 is fed to both chambers up to the desired pressure. The apparatus is equipped with a recirculation pump that extracts the gaseous phase from the bottom of the gas chamber and re-injected it at the bottom of the equilibrium chamber to increase mass transfer between supercritical and liquid phases. According to our experience on this apparatus, a re- circulation time equal to almost 6 hours and a flow rate of recirculating supercritical phase equal to about 500 Nliters/min have to be utilized to be sure to attain equi- librium conditions. After the recirculation period, the two chambers are separated by closing valves in order to allow the whole content of the gas chamber to be sampled without dis- turbing the equilibrium conditions in the equilibrium chamber. The sampling of gas and liquid phases is car- ried out according to the procedure described in detail elsewhere [14]. The amount of solute collected during gas and liquid sampling was determined gravimetrically, whereas the amount of CO2 is determined by means of the gas meter connected to the experimental apparatus (accuracy equal to 0.001 Nliters). The amount of liquid collected from the gas phase sampling (pure linalool or orange essential oil extract) resulted to be in the range of 0.13 - 12.3 g, with a sam- pled volume of CO2 in the range of 19.5 - 56 l (measured at ambient conditions). As far as the liquid phase sam- pling is concerned, the amount of liquid withdrawn from the bottom of the equilibrium chamber resulted to be in the range of 0.23 - 1.46 g. A small amount of liquid oil collected from gas and liquid phase sampling were analyzed chromatographi- cally in order to determine their composition, on CO2 free basis. At the end of each experimental run the equilibrium chamber is depressurized and mass of oil was determined gravimetrically in order to check the oil mass balances referred to the whole experimental run. On the contrary no check can be done by means of CO2 mass balance because it is not known the mass of CO2 initially fed to the apparatus. Anyway the volume of CO2 exiting the chamber in the depressurization step is measured and both added to the volume of CO2 measured during the extraction of the gaseous phase from the gas chamber and to the volume developed during the sampling of the liquid phase. This way, in the hypothesis that no loss of CO2 occurred during the experiment, the total amount of CO2 fed to the apparatus is evaluated. So it is possible to evaluate the initial overall composition of the system. 3. Experimental Results 3.1. Carbon Dioxide—Linalool The phase equilibrium data for the binary system CO2-linalool are measured at 323.15 K and 343.15 K, in the pressure ranges 8.3 - 10.5 MPa and 10.1 - 13.5 MPa, respectively, with the experimental set-up and with the procedure described in the previous Section 2. Table 1 reports the solubility of linalool in supercriti- cal CO2 phase (linalool solubility, sg) and the solubility of CO2 in liquid linalool (CO2 solubility, sl), at the indi- cated temperatures. Figure 1 shows the experimental points and the model curves for the linalool solubility, as a function of the pressure, at the temperatures of 323.15 K and 343.15 K. These values are compared with the data from literature at 313.15, 318.15, 323.15, 328.15 and 333.15 K [16,17]. Linalool solubility is expressed as grams of linalool per kilogram of CO2. The solubility of linalool measured in this work, increases with the pressure, at fixed tempera- Table 1. Experimental solubility of linalool in supercritical CO2 (sg) and solubility of CO2 in the liquid linalool (sl) at 323.15 K and 343.15 K as function of pressure. linalool - carbon dioxide T (K) P (MPa) sg (g/1000 g) sl (g/g) 8.250 9.815 0.590 8.600 11.856 0.745 8.650 16.589 0.856 9.200 16.927 1.296 9.840 28.429 2.055 10.083 47.985 3.775 323.15 10.464 123.540 5.200 10.100 16.610 0.571 10.900 20.007 0.749 11.500 26.380 0.797 11.900 36.215 0.877 12.300 43.015 1.107 12.700 50.171 1.274 13.000 56.699 1.546 13.100 68.163 1.570 343.15 13.500 96.704 2.139 Open Access AJAC ![]() C. CAPPARUCCI ET AL. 766 ture, in the range of 9.8 - 123.5 g/kg at 323.15 K, and in range of 16.6 - 96.7 g/kg at 343.15 K. The trends of lit- erature data, at the five different temperatures, are con- sisted with the behavior of the experimental data and with the model curves presented in this work. Figure 2 compares the experimental data reported in this work and the model curves of the CO2 solubility, as a function of the pressure, at the temperatures of 323.15 and 343.15 K with data from literature at 313.15, 323.15 and 333.15 K [17]. The solubility in liquid phase is ex- pressed as grams of CO2 per gram of linalool. The solu- bility of CO2 measured in this work, increases with the pressure in the ranges of 0.59 - 5.2 g/g at 323.15 K, and in ranges of 0.57 - 2.14 g/g at 343.15 K and decreases with the temperature in the considered pressure ranges. These trends are in agreement with the literature data Figure 1. Experimental data presented in this work, litera- ture data and model curve for solubility of linalool in su- percritical CO2 at 323.15 K and 343.15 K as function of pressure. Figure 2. Experimental data presented in this work, literature data and model curve for solubility of CO2 in the liquid linalool at 323.15 K and 343.15 K as function of pressure. even if the values reported in reference [17] are higher than the values of solubility measured in this work at 323.15 K, after 8.9 MPa. However, it has to be under- lined that in this region solubility increases greatly. 3.2. Carbon Dioxide—Orange Oil The gas-liquid phase equilibrium of the system CO2- orange essential oil was investigated at 323.15 K and 343.15 K, for pressures in the ranges of 7.6 - 9.6 MPa and 10.1 - 13.2 MPa, respectively. The maximum value of pressure used is the value in correspondence of which, at each temperature, there are two phases in equilibrium conditions. The chosen range of pressure and tempera- ture values are particularly relevant for this system, since they represent potential operating parameters for the effi- cient application of the supercritical deterpenation pro- cess. The experimental data on the system CO2-orange essential oil are collected in Table 2 and their trends are shown in Figures 3 and 4. Figure 3 shows the solubility of the oil in supercritical CO2 (sg) as a function of pressure, at the two tempera- tures under investigation. The data measured in this work show that at 323.15 K the solubility of the oil increases from approximately 11 to 21 g/kg, for pressures ranging from 7.6 MPa to 9.6 MPa; at 343.15 K the solubility in- creases from approximately 16 to 75 g/kg, for pressures ranging from 10 MPa to 13 MPa. In the same Figure 3 a comparison with literature experimental data [12] is also reported. Actually in Figure 3 it was not possible to rep- resent the experimental data of solubility of orange es- sential oil in CO2 [12] as in the original work these data are reported only in a figure. On the other hand in the same work is given an empirical correlation of experi- mental solubility data that perfectly represents the ex- perimental data themselves. Therefore, to test the relia- Table 2. Experimental solubility of orange oil in supercriti- cal CO2 (sg) and the solubility of CO2 in orange essential oil (sl) at 323.15 K and 343.15 K as function of pressure. Orange essential oil—carbon dioxide T (K) P (MPa) sg (g/1000 g) sl (g/g) 323.15 7.56 11.604 0.549 8.11 11.766 0.978 8.60 10.558 0.902 8.70 11.326 0.828 9.10 15.448 1.113 9.60 20.728 2.218 343.15 10.14 16.079 0.614 11.05 25.567 0.655 12.14 45.086 0.861 13.15 74.859 1.241 Open Access AJAC ![]() C. CAPPARUCCI ET AL. 767 bility of the experimental data reported in this paper, values obtained from the empirical correlation can be used. In the comparison, however, it must be taken in to account that the composition of orange essential oil used in the work [12] is different from the one of the present work. In particular, in reference [12] the oil has a weight fraction of monoterpenes equal to 98.25% whereas a value of approximately 99% characterizes the oil in the present work. From the analysis of the figure we see that the data reported in this work are in agreement with data reported in reference [12], with relative mean deviations equal to 21% at 323.15 K and equal to 24% at 343.15 K Figure 4 shows the solubility of CO2 in the liquid phase, as a function of pressure. The solubility of the gas in the liquid phase increases with pressure and decreases with temperature, for the values of pressure and tem- perature are under investigation. At 323.15 K, an increase from approximately 0.5 to 2.2 g/g is observed, whereas the Figure 3. Experimental data presented in this work, litera- ture data and model curve for solubility of orange essential oil in supercritical CO2 at 323.15 K and 343.15 K as func- tion of pressure. Figure 4. Experimental data presented in this work, litera- ture data and model curve for the solubility of CO2 in the oil phase at 323.15 K and 343.15 K as function of pressure. solubility increases from 0.6 to 1.2 g/g at 343.15 K. In Figure 4 the comparison, of obtained experimental data with the empirical correlation of data [12] is reported: taking into account the considerations above discussed, the two data sets are in good agreement with relative mean deviations equal to 13% at 323.15 K and equal to 16% at 343.15 K. The experimental data reported in Table 2 can also be observed in the isothermal P-x-y diagrams reported in Figure 5, which represents the system as pseudo-binary (i.e., considering orange essential oil as a pure compo- nent). The diagram provides an overview of the behavior of the system at the two temperatures. Each condition of equilibrium pressure and temperatures corresponds to a given value of the ratio oil/CO2 used in the test. In fact, for a constant mass of oil, the added mass of CO2 should be such as to reach the desired pressure in the apparatus (of fixed volume). Being the system not actually binary (i.e., orange essential oil is not a pure compound), it fol- lows that if another overall composition locus (for exam- ple by charging in the apparatus a mass of oil equal to 20 g instead of 30 g) is chosen, equilibrium P-x-y lines would change accordingly. Table 3 shows the experimental compositions, on CO2-free basis of phases in equilibrium at different val- ues of temperature and pressure. The gaseous phase shows the enrichment in monoterpenes, on the contrary the liquid phase has only a modest enrichment in oxy- genated terpenes and sesquiterpenes components. This behavior depends on the low value of the ratio sol- vent/feed utilized in the experimental runs: a minimal amount of oil is solubilized in the supercritical phase, and then the composition of the liquid phase is almost coincident with the one of the feed. No literature experimental data are available for com- parison because in the works [11,12] besides the mono- terpenes, only a single “aroma” component is considered. Figure 5. Pseudo-binary isothermal P-x-y diagrams at 323.15 K and 343.15 K. Open Access AJAC ![]() C. CAPPARUCCI ET AL. 768 From the analysis of experimental data it is apparent that the feed mass fraction values of the three classes of compounds are between the corresponding values in the gas and the liquid, and therefore mass balance of differ- ent components are respected. Some experimental runs (at 323.15 K and 9.1 MPa and 9.6 MPa; at 343.15 K and 11.05 MPa) show that both the supercritical and liquid phases are richer in monoterpenes than the feed. This problem is probably caused by some inaccuracies in the GC-analyses of this complex mixture. In order to quantify this aspect, a selectivity of the solvent with respect to the separation of monoterpenes and oxygenated terpenes + sesquiterpenes compounds can be defined as follows: , mtox st mt ox mtox st YYY SXXX (1) In Equation (1) Ymt, Yox and Yst indicate the weight fraction of monoterpenes , oxygenated terpenes and ses- quiterpenes respectively in supercritical phase, whereas Xmt, Xox and Xst indicate the mass fraction of the same components in the liquid phase. From the data reported in Tables 3, not considering the above-mentioned experimental points showing in- consistencies in the mass balances, it can be seen that at 323.15 K the selectivity varies from 2 to 5.These values are higher than literature data [12] which vary from 1.1 to 3 in the same temperature and pressure ranges. 4. Thermodynamic Modeling System Carbon Dioxide—Linalool Equilibrium data of the system CO2 linalool reported in Table 1, were represented by means of PREOS with the van der Waals mixing rules and two tempera- ture-independent interaction parameters, as already re- Table 3. Experimental composition of supercritical and liquid phases (on solvent free basis). Orange essential oil compositions T (K) P (MPa) Xmt XoxXst Ymt YoxYst 323.15 7.56 0.986 0.0110.003 0.997 0.0020.001 8.11 0.990 0.0090.001 0.997 0.0020.001 8.60 0.986 0.0120.002 0.997 0.0020.001 8.70 0.987 0.0110.002 0.997 0.0020.001 9.10 0.993 0.0060.001 0.995 0.0040.001 9.60 0.993 0.0060.001 0.994 0.0050.001 343.15 10.14 0.990 0.0090.001 0.997 0.0020.001 11.05 0.991 0.0080.001 0.994 0.0050.001 12.14 0.986 0.0120.002 0.994 0.0050.001 13.15 0,992 na na 0.993 na na ported in our previous works dealing with the thermody- namic characterization of systems composed by CO2 and single component of lemon oil (limonene, citral and β-caryophyllene) [13-15]. Attractive parameters (ai) and covolumes (bi) of CO2 and linalool were calculated from critical properties and acentric factors through the relationships reported by Peng and Robinson [18]. To carry out these calculations, linalool critical parameters and acentric factor were de- termined by means of group contribution method [19]: the obtained values are reported in Table 4 together with the one of CO2. The relationships for the mixture attrac- tive parameter and covolume are reported below: 22 11 1 mijij ij azzaak ij (2) 22 11 1 2 ij mij ij bb bzz ij (3) In Equations (2) and (3) zi and zj indicate the mole fractions of the components in the generic phase (i.e., gas or liquid) and kij and ηij are the binary interaction pa- rameters (both equal to zero if i = j and kij = kji; ηij = ηji if i ≠ j). The interaction parameters were calculated according to a well-defined procedure, by regression of experimen- tal data, by minimizing of the follow objective function: 50 70 1 50 1 70 1 , 1 N iCiEiC iE ij ij iiE iE NjCjEjC jE ijE jE yy xx kNy x yy xx Ny x (4) In Equstion (4) y and x indicate the molar fraction in the gas and liquid phase, respectively, the subscript C stands for a quantity calculated by the thermodynamic model, the subscript E refers to experimental data, and N50 and N70 are the numbers of experimental data at re- spectively 323.15 K and 343.15 K. The average percent- age deviation for the binary systems CO2-linalool is 4.2%. Besides representing the experimental data, Figures 1 and 2 also show the equilibrium solubility curves calcu- Table 4. Physical properties of CO2 and components of or- ange essential oil Physical property Compound MW Pc (MPa) Tc (K) ω carbon dioxide44.01 7.376 304.2 0.225 limonene 136.24 2.788 651.17 0.389 linalool 154.25 3.155 646.03 0.6903 β-caryophyllene204.36 2.076 736.15 0.518 Open Access AJAC ![]() C. CAPPARUCCI ET AL. 769 lated with the optimal values of the temperature-inde- pendent interaction parameters that were determined in this work and the curves calculated by assuming k = 0 and e η = 0 (completely provisional values). In addi- tion, Figure 6 provides an overall view of the behavior of this binary system, at the two temperatures under in- vestigation. Optimal values of interaction parameters were used also to correlate experimental data reported in reference [17] at 333.15 K (see Figure 6). The agreement seems to be satisfactory also with this set of experimental data. The system CO2-orange essential oil was modelized as composed of 4 components, which are CO2 (the sol- vent) plus three selected main components representing the oil: the major monoterpene compound (i.e., limo- nene), the major oxygenated compound (i.e., linalool), and a sesquiterpene compound (i.e., β-caryophyllene). Extensive discussion on this modeling approach is re- ported in other papers dealing with the modelization of the system CO2-lemon essential oil [5]. The critical properties and acentric factor of limonene and β-caryo- phyllene are reported in Table 4 whereas the values of interaction parameters for system CO2-limonene and CO2-β-caryophyllene taken from literature [10,15] are reported. As for the binary-interaction parameters between oil compounds, meanings the sub-systems not involving CO2, they were assumed equal to zero. On the whole, the complete set of values of the temperature-independent interaction parameters used for modeling the system CO2-orange essential oil is reported in Table 5. It is here underlined that the only empirical parameters utilized by the thermodynamic model are the interaction parameters referred to binary sub-systems CO2-orange essential oil components. Therefore, the model is predictive with re- spect to the multicomponent system. Figure 6. Experimental data presented in this work, data from reference [17] and equilibrium values obtained by means of PREOS at 323.15 K, 333.15 K and 343.15 K with kij and ηij reported in Table 5. The capability of the model of predicting the behavior of the system CO2-orange essential oil was tested through a series of phase equilibrium calculations at con- stant pressure, temperature, and volume. In particular the volume of the apparatus (340 cm3), the amount of loaded oil (30 g) and the oil composition (obviously in terms of limonene, linalool and β-caryophyllene representing monoterpenes, oxygenated compounds, and sesquiter- penes respectively) were fixed besides the values of pressure and temperature. By means of a specific soft- ware which takes into account the phase equilibrium equations (i.e., isofugacity conditions) together with the mass balances and the volume constraint on the system, the amount and composition of the gas and liquid phases at equilibrium is provided as output. In particular, it is here noted that the amount of CO2 in the system is an output parameter of the calculation. Figures 3 and 4 show that the model correctly pro- vides the solubilities in the gas and the liquid phases for the system CO2-orange oil. Actually the model overesti- mates the solubility of CO2 in the liquid phase at 343.15 K. The amount of CO2 which is necessary to guarantee the specified pressure to be established is also very well predicted (see Figure 5). The capability of the model of providing a good representation of the pseudo-binary system is summarized in Figure 6, which shows calcu- lated and predicted values of the mass fractions of the two phases in equilibrium. The comparison between calculated and experimental values of equilibrium composition can also be carried out. In particular negligible values of relative deviation be- tween calculated and experimental weight fraction of monoterpenes in liquid and supercritical phases are evaluated. On the contrary high values of the same de- viations for oxygenated and sesquiterpenes weight frac- tions are obtained. These high deviations are due also to the inaccuracies of the CG analysis. 5. Conclusion The gas-liquid phase equilibrium of the system CO2-orange essential oil was experimentally determined in a constant-volume apparatus working at 323.15 K and 343.15 K, in the pressure ranges of interest for the deter- penation process. The experiments were carried out with an orange oil rich in monoterpenes (mt 99.05%, ox Table 5. Binary interactions parameters for the systems CO2-components of orange essential oil. Interaction parameters CO2-limoneneCO2-linalool CO2-β-caryophyllene kij 0.089 0.016 0.089 ηij 0.013 −0.069 −0.005 reference [18] this work [X] Open Access AJAC ![]() C. CAPPARUCCI ET AL. Open Access AJAC 770 0,82%, st 0,13%). In the investigated pressure range, solubility of CO2 in liquid phase and solubility of oil in the supercritical phase were determined. Furthermore, the composition of the gas and the liquid phase were deter- mined, in terms of three main classes of components. 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