Journal of Chemistry

Journal of Chemistry / 2019 / Article

Research Article | Open Access

Volume 2019 |Article ID 5307340 |

Elise Urvaka, Inga Mišina, Arianne Soliven, Paweł Górnaś, "Rapid Separation of All Four Tocopherol Homologues in Selected Fruit Seeds via Supercritical Fluid Chromatography Using a Solid-Core C18 Column", Journal of Chemistry, vol. 2019, Article ID 5307340, 10 pages, 2019.

Rapid Separation of All Four Tocopherol Homologues in Selected Fruit Seeds via Supercritical Fluid Chromatography Using a Solid-Core C18 Column

Academic Editor: Susana Casal
Received18 Oct 2018
Revised14 Dec 2018
Accepted27 Dec 2018
Published16 Jan 2019


Tocopherol separations employing the same Kinetex™ C18 column via supercritical fluid chromatography (SFC) and reversed-phase liquid chromatography (RP-LC) were compared. The application of the SFC system with UV diode array detection (DAD) resulted in rapid separation of all four tocopherol homologues with a total analysis time below 2 min. The RP-LC approach could not separate the isomers β and γ. The developed SFC-DAD method was precise, accurate, and most importantly more environmentally friendlier compared to the RP-LC method due to the 125-fold decrease in methanol consumption. The present study illustrated the selectivity differences between LC and SFC and how the C18 column can be used for tocopherol characterization. The optimized SFC method was successfully applied for the tocopherol determination in the seeds of nine different fruit species.

1. Introduction

Tocopherols (Ts), four homologues (α, β, γ, and δ), are biomolecules with a lipophilic nature of great biological importance due to the unique physicochemical properties, among others, antioxidant properties, and vitamin E activity [1]. The presence of vitamin E in a daily diet is essential for the proper function of physiological human systems such as vascular, neural, reproductive, and musculoskeletal [2]. In the year 2005, the recommended daily allowance (RDA) of vitamin E for adult women and men has been raised from at 8 and 10 mg, respectively, to 15 mg for both [3]. One of the richest sources of tocopherols is the conventional, as well as unconventional, seeds and their oils [46]. In recent years, unconventional seeds resources, for instance, recovered from by-products of the fruit industry have received greater attention [5, 6]. Since the profile and concentration of tocopherols in the plant material depends on many factors, for instance, genotype and species [7], the routine analysis of tocopherols composition in the samples is required.

The liquid chromatography (LC), including both reversed phase (RP) and normal phase (NP), is the most common technique for tocopherols determination. The RP-LC is favored over the NP-LC because of some advantages such as column stability and/or reproducibility of retention times. Nowadays, by using both NP-LC and RP-LC and an appropriate column such as silica (Si), diol (Diol), and amino (NH3) for NP-LC [8] and pentafluorophenyl (PFP or F5), C30, naphthalene (πNAP), and planar pyrene (5PYE) for RP-LC [913], which allows for isomers β and γ separation, all tocopherols can be determined. Tocopherol homologues are often determined by RP-LC with a C18 column to obtain rapid separation. Unfortunately, such an approach has one major disadvantage, it does not allow for the β and γ isomers separation [14, 15]. With the exception of the one report, a successful separation of all tocopherol and tocotrienol homologues was obtained by applying the PerfectSil Target ODS-3 column (modified C18 phase); however, longer analysis times were achieved (60 min) [16]; generally, the C18 column used in RP-LC does not allow for β and γ separation. Therefore, when the tocopherols are determined by RP-LC with a C18 column, the two isomers (β and γ) coelute and are represented as a sum of both forms because of the same retention time. Unfortunately, the results are frequently interpreted as the γ-T because of a common occurrence and high concentration of this homologue in the plant material as opposed to β-T [17]. Nevertheless, such interpretation of the results, when the presence of β-T cannot be excluded in the tested sample, is incorrect. Recent studies show simultaneously that the rareness of β homologue occurrence in the plant world may be underestimated, mainly due to improper methodology [18]. The aspect of the separation of all tocopherol homologues is particularly important when the plant material is tested for the first time.

Although supercritical fluid chromatography (SFC) with supercritical carbon dioxide (CO2) was discovered earlier than LC, it has been abandoned for many years, because of poor precision and reproducibility of this analytical technique. In the last decade, there has been a breakthrough for the SFC system which has enabled to obtain comparable precision and reproducibility as in the case of the LC system. Currently, the SFC provides a meaningful advantage on the LC due to uses low viscosity a CO2 as the main mobile phase, which allows higher operational flow rates and rapid analysis as compared with LC. Additionally, the application of the CO2 makes the SFC an environment-friendly method [1921]. The improvement of SFC instrumentation has been demonstrated with recent studies showcasing the benefits of SFC versus HPLC, as well as their differences in selectivity behaviour [2224]. In the present study, the selectivity between the two analytical systems the HPLC and the SFC, employing the same C18 column for the separation of tocopherol homologues were compared, and finally, the method was validated on the SFC. The applicability of the new SFC method for qualitative and quantitative identification of tocopherol homologues was evaluated based on analysis of the seeds of nine different fruit species.

2. Materials and Methods

2.1. Reagents

Carbon dioxide (99.8% purity) was purchased from AGA (Riga, Latvia). Methanol, ethanol, 2-propanol, n-hexane (MS and HPLC grade), n-hexane, ethyl acetate, absolute ethanol, sodium chloride, pyrogallol, and potassium hydroxide (reagent grade) were obtained from Sigma-Aldrich (Steinheim, Germany). Tocopherol homologues (α, β, γ, and δ) (>95% purity) were received from Merck (Darmstadt, Germany).

2.2. Plant Material

Nine different fruit species (fully ripe): red raspberry (Rubus idaeus L.), redcurrant (Ribes rubrum L.), blackcurrant (Ribes nigrum L.), strawberry (Fragaria × ananassa Duchesne), apple (Malus domestica Borkh.), rose hip (Rosa canina L.), sea buckthorn (Hippophae rhamnoides L.), and Japanese quince (Chaenomeles japonica (Thunb.) Lindl. ex Spach) were collected in the Institute of Horticulture, Dobele, Latvia (GPS location: N:56°36′39″ E: 23°17′50″), and the watermelon (Citrullus lanatus (Thunb.) Matsum. & Nakai) was provided by a local supplier from Ukraine. The seeds were obtained from the fruits during the samples preparation for the analysis of fruit chemical composition. The recovered seeds were oven-dried (3 h) in Orakas 5600 (Marlemi OY, Lemi, Finland) with forced hot air circulation at 55 ± 2°C. The undamaged seeds were selected (∼10 g) and milled in with a Knifetec™ 1095 (Foss, Höganäs, Sweden) universal laboratory mill to obtain a powder (mesh size ≤ 0.75 mm). Dry weight basis (dw) of seeds was measured gravimetrically.

2.3. Saponification and Extraction of Tocopherols

The procedure of sample saponification and tocopherols extraction was performed according to Górnaś et al. [25]. In brief, 0.1-0.2 g of powdered seeds, 2.5 mL of absolute ethanol, 0.05 g of pyrogallol, and 0.25 mL of aqueous potassium hydroxide (600 g/L) were placed in a glass tube, sequentially. The tube was closed immediately, mixed (10 sec) before and during the incubation. After 25 min of incubation at 80°C, the sample was rapidly cooled in an ice-water bath for 5 min and then 2.5 mL of sodium chloride (10 g/L) was added and mixed for 5 sec. Then, tocopherols were extracted with 2.5 mL of n-hexane:ethyl acetate (9 : 1; v/v) by mixing (15 sec). The organic layer was separated by the centrifugation (1000 ×, at 4°C, 5 min) and transferred to a round-bottom flask, while residues were reextracted twice as described above. The combined extracts were evaporated by a vacuum rotary evaporator till dryness, dissolved in methanol (0.5 mL), and filtrated through a syringe filter (0.22 μm) to a vial, sequentially. The samples were injected directly after preparation into the RP-LC and SFC system.

2.4. SFC and RP-LC Systems

The experiments were performed using Shimadzu Nexera UC system (Kyoto, Japan), which consists of a CBM-20A controller, online DGU-20A5R degasser, an LC-30AD SF CO2 pump, an LC-30AD pump, an SIL-30AC autosampler (with 20 μL sample loop), a CTO-20AC column oven, an SPD M20A diode-array detector (DAD) (with high pressure cell), and one SFC-30A back pressure regulator (BPR). Additionally, a high-pressure switching six-port valve (FCV-34AH) was installed in the column oven to carry out column switching. All units are connected in the way allowing for using of both systems SFC and RP-LC without configuration changes and using the same column as well as the detection. Data collection and system control were performed using Shimadzu Lab solution DB Ver. 6.70.

2.5. Chromatographic Conditions of Tocopherols Determination by RP-LC

The analysis was performed in the following conditions: mobile phase methanol : water (100 : 0–95 : 5; v/v), flow rate (1.0 mL/min), injection (0.1–10 μL), temperature of the column oven (25–50°C), and temperature of the room (22°C). The separation of tocopherols was performed on a Kinetex™ C18 column (2.6 μm, 4.6 × 100 mm) (Phenomenex, Torrance, CA, USA). Tocopherol homologues were measured at wavelength λ = 295 nm by the DAD. Identification was made by comparison of the retention times and UV absorption spectra of individual peaks in the chromatograms of analysed samples with these of the standards.

2.6. Chromatographic Conditions of Tocopherols Determination by SFC

The analysis was performed in the following conditions: mobile phase CO2 : methanol (100:0–93 : 7; v/v), flow rate (1.0–4.5 mL/min), temperature of the column oven (25–50°C), temperature of the room (22°C), injection (0.1–10 μL), and back pressure regulator 15 MPa. The detection, identification, and quantification were done as described above in the RP-LC system (Section 2.5.).

2.7. SFC Method Validation

The analytical method was validated in terms of selectivity, linearity, limit of detection (LOD), limits of quantification (LOQ), recovery, precision, and accuracy according to the guidelines for bioanalytical method validation of the Center for Drug Evaluation and Research of the U.S. Food and Drug Administration [26]. Spiked samples for method validation (at low, medium, and high concentrations of α-T (2.0, 19.8, and 198.2 μg), β-T (2.4, 24.3, and 243.3 μg), γ-T (2.5, 24.9, and 248.5 μg), and δ-T (2.3, 22.6, and 225.7 μg) were added to the apple seed samples before the saponification procedure.

2.7.1. Selectivity

To confirm the absence of interfering peaks or coeluting, blank and spiked seed samples of nine different fruit species (R. idaeus, R. rubrum, R. nigrum, F. × ananassa, M. domestica, R. canina, H. rhamnoides, Ch. japonica, and C. lanatus) were extracted and injected into the SFC system.

2.7.2. Linearity

The linearity of the detector response for standard solutions was tested on five consecutive days by injection of 1 μL of four tocopherol homologues at concentrations 1982.3 ng/μL for α-T, 2432.6 ng/μL for β-T, 2485.4 ng/μL for γ-T, and 2256.6 ng/μL for δ-T and their diluted equivalents in ethanol (75, 50, 25, 10, 7.5, 5, 2.5, and 1% w/w of nominal concentration).

2.7.3. Limits of Detection and Quantification

The limit of detection (LOD) was defined as the amount of the respective analyte injected into the SFC system that could be reliably discerned from the background noise (ca. 3 times the background signal). The limit of quantification (LOQ) was calculated as LOQ = 3LOD.

2.7.4. Recovery

The recovery of the tocopherols was quantified by analysing five independently prepared apple seeds samples and spiked with analytes at low, medium, and high levels (see Section 2.7.) and by comparison of the detector responses with those of standards containing identical concentrations of the tocopherols. The content of tocopherols in the apple seeds was determined at an earlier stage by the proposed method in this study and expressed as a mean value of five independent prepared and quantified samples.

2.7.5. Accuracy and Precision

Intra- and interday accuracy and precision were determined by analysing five independent prepared apple seeds samples that were spiked with low, medium, and high levels of tocopherol standards (Section 2.7.), on the same day and five independent days, respectively. Each of the five samples was running (injected) five times.

2.8. Statistical Analysis

The results were presented as means ± standard deviation () from three independent replications. The p value ≤0.05 was used to denote significant differences between mean values determined by one-way analysis of variance (ANOVA). The Bonferroni post hoc test was used to denote statistically significant values at . All statistical analyses were performed with the assistance of Statistica 10.0 (StatSoft, Tulsa, OK, USA) software.

3. Results and Discussion

3.1.1. Effect of the Mobile Phase

The advantage of SFC versus RP-LC for the separation of tocopherol homologues employing the Kinetex™ C18 column is illustrated in Figure 1. Four tocopherol homologues cannot be separated on the C18 column by the RP-LC, due to the lack of separation of isomers β and γ, and can by the SFC using CO2 : methanol (99.8 : 0.2, v/v) as a mobile phase. Based on the peaks intensity, it is clear that the RP-LC method is more sensitive (about three-, four-, and six-fold for α-T, β-T + γ-T, and δ-T, respectively) compared with the SFC method (Figure 1). The lambda max (λmax) of the UV spectra of tocopherol homologues obtained by the RP-LC with the methanol as a mobile phase was the lowest for α-T (292 nm) and the highest for δ-T (297 nm), whereas β-T and γ-T had the same value (296 nm). The application of the SFC with the CO2 : MeOH (99.8 : 0.2, v/v) as the mobile phase resulted in noticeable changes in the lambda max (λmax) of the UV spectra of tocopherol homologues (295 nm for α-T and β-T and 294 nm for γ-T and δ-T) (Figure 1). Increasing the concentration of the methanol in the mobile phase till 1% (CO2 : MeOH (99.0 : 1.0, v/v)) resulted in unification of the wavelength λmax = 295 nm. While at the levels above 7% of the methanol in the mobile phase of the SFC the λmax wavelength of tocopherol homologues was as in 100% methanol. It must be highlighted that the tocopherols separation via SFC decreased methanol consumption by 125-fold compared with the RP-LC approach (Figure 1). Hence, SFC is significantly advantageous for developing environmentally friendlier chromatographic methods and decreasing costs associated to disposal of organic waste.

3.1.2. Impact of the Mobile Phase Organic Modifier and the Column Temperature

The RP-LC approach employing 100% methanol was much more sensitive than the SFC method which contained only 0.2% methanol (Figure 1). The reduction of methanol content in the mobile phase from 100% to 95%, in the RP-LC, resulted in a significant decrease in sensitivity and increase in analysis time. Despite the increased resolution between the three peaks, the 5% decrease in the organic modifier failed to separate the coeluting peak containing both β and γ isomers. The sensitivity of the RP-LC method, for all tocopherol homologues, was negatively correlated with the increase content of water in the mobile phase as a methanol replacement (Figure 2).

In the case of the SFC system, the impact of methanol concentration in the mobile phase, especially on selectivity, was much more complex. With increased levels of methanol in the mobile phase, a higher sensitivity for all analytes was observed. The sensitivity of the SFC method, for all tocopherol homologues, was positively correlated with the increase content of methanol in the mobile phase. The rate of increasing sensitivity of individual tocopherol homologues, along with the increasing concentration of methanol in the mobile phase, was the highest for β-T and γ-T and the lowest for α-T. Therefore, changing the concentration of methanol in the mobile phase from 0.1 to 0.7% resulted in a nearly 2-fold higher sensitivity of forms β and γ in relation to α, while at the lowest concentration of the methanol (0.1%) the values of all homologues are comparable (Figure 3).

The selectivity of the SFC separation of the tocopherol homologues was extremely sensitive to minimal organic modifier changes to the mobile phase. The elution of homologue δ and α, especially δ, were effected the most by the small changes of the organic modifier in the mobile phase, while the β and γ were quite stable in the concentration range 0.1–1.0 of the methanol (Figure 3). Based on Figure 3, it can be stated that up until 2% organic modifier composition of methanol in the mobile phase, of the SFC system, the elution order is typical of NP, while at 3%, the elution order typical of RP-LC conditions.

For both systems RP-LC and SFC, the increase in temperature of the column oven decreased the analysis time and the increased sensitivity of the method. The resolution of the peaks decreased with increased temperature (data shown only for the SFC method, Figure 4).

3.1.3. Effect of the Injection Volume and Solvent Environment

Changing the sample’s solvent environment between methanol, ethanol, 2-propanol, and n-hexane, in the injection volume range of 0.1–1 μL into the SFC system with CO2:methanol (99.8 : 0.2, v/v) as mobile phase did not have a significant impact on the tocopherols separation nor the peaks shape (data not shown). An increased injection volume from 3 μL and greater experienced significant changes to the peak shape, decreased retention time, and fronting behaviour of the peaks, which is clearly illustrated by the 10 μL injection volume chromatogram in Figure 5.

The injection volume for the samples diluted in different solvent environments where peak distortion was quite significant are as follows and ranked in the order of worst peak shape: n-hexane 3 μL > 2-propanol 5 μL > ethanol 7 μL > methanol 10 μL (data shown only for methanol, Figure 5).

The maximum injection volume of samples diluted in methanol and/or ethanol, that did not induce significant peak distortion for the SFC analysis was 2 μL (Figure 6). The concentration of tocopherols did not have a significant effect on the resolution of the peaks and peak tailing or fronting behaviour (Figure 5). In the case of the RP-LC system, the impact of the solvent environment (with the exception of n-hexane, which was not tested) used for the sample dilution and the injection volume (0.1–10 μL) did not have a significant impact on the peak shape tailing, fronting, nor the separation resolution (data not shown). Over 800 injections on the Kinetex™ C18 were throughout this study with no significant loss in column integrity/performance (data not shown).

3.2. SFC Method Validation
3.2.1. Separation Parameters

Table 1 lists the retention times obtained with the optimized SFC separation conditions of the four tocopherol homologues standards and calculated parameters such as the retention factor (k), selectivity factor (αB/A), resolution (Rs) and the number of theoretical plates (N). The developed method facilitated high throughput/rapid separation of all tocopherol homologues with adequate resolution completed in a total analysis time below two min (Figure 6).

CompoundsRetention time, TR (min)Retention factor, kSelectivity factor, αB/AResolution, RsNumber of theoretical plates, N


Details of the SFC separation conditions: flow rate: 4.5 mL/min; column dead time (T0): 0.269 min; mobile phase: CO2 : MeOH (99.8 : 0.2, v/v); column oven temperature: 40°C; room temperature: 22°C; back pressure regulator: 15 MPa.

The retention factor ranged from 3.28 to 5.12 for α‐T and δ‐T, respectively, indicating that all are below the upper limit (20–30) referred as too long elution time [27]. The recorded selectivity factor in each case was over one (>1), indicating a well-performed separation of the analytes. The lowest resolution was calculated between the isomers β and γ (1.4), however this value indicates that the peaks are separated from each other and do not overlap at 0.2%. The lowest number of theoretical plates was recorded for α‐T (5523.8) and the highest for δ‐T (5727.2).

Injection of samples from nine different fruit species (R. idaeus, R. rubrum, R. nigrum, F. × ananassa, M. domestica, R. canina, H. rhamnoides, Ch. japonica, and C. lanatus) revealed no peaks coeluted with the four tocopherols under the optimized chromatographic conditions. All investigated samples contained a number of unidentified peaks that eluted before the tocopherol homologues (Figure 6).

3.2.2. Linearity and Limits of Detection and Quantification

The linear regression equations obtained for the calibration curves of four tocopherol homologues, including determination coefficients (R2), LOD, and LOQ, are presented in Table 2. The detection responses for tocopherol standard solutions were linear with a R2 > 0.99 for all four tocopherol homologues over a wide range of concentrations (20–2500 ng/μL). The lowest LOD and LOQ were recorded for δ-T, while the highest for β-T. The LOD and LOQ for each isomer were comparable and ranged from 27 to 32 ng/μL and 83–97 ng/μL, respectively. The opposite was reported for tocopherols determined by the RP-LC [9, 10], where the difference between the homologues was two- to threefold.


Standard solutions (R2)0.9985 ± 0.00080.9988 ± 0.00050.9990 ± 0.00060.9991 ± 0.0007
Slope and y intercepty = 41.458x − 1349.4y = 70.363x − 2807.5y = 72.367x − 3144.6y = 70.056x − 2939.1
LOD (ng/μL)29323027
LOQ (ng/μL)88979083

x, concentration (ng); y, peak area (mAU). aTocopherols presented as the absolute amount injected and dissolved in 1 μL of solvent.

The developed method was an order of magnitude less sensitive in comparison to RP-LC where fluorescence detection was utilized (ng vs pg) [9, 10]. This finding is not surprising because the LODs for tocopherols determined by the fluorescence detection compared to UV detection are from 150 until over 1000 times more sensitive, depending on the homologue [28]. Unfortunately, fluorescence detection is currently unavailable for any SFC system. The obtained in the present study, the LODs with the use of SFC-DAD detection was by 60 until over 600 times less sensitive, depending on the tocopherol homologue, in comparison with RP-HPLC-FLD [9, 10]. The difference in the LODs is not only the matter of the used detector, but also used solvents a mobile phase, especially H2O addition, and temperature of column oven (Figures 14) and effect of peak broadening. The cross-check between the SFC-UV detection and HPLC-FLD was reported with the similar observation as in the present study [29]. The LOD and LOQ reported in this study were represented as the amount of analyte required with each injection (ng per injection, where 1 μL was used as a constant injection volume) (Table 2).

3.2.3. Recovery

The intraday and interday recoveries for tocopherols extracted from apple seeds were excellent for all spiked concentrations and within the limits set by the FDA (≤20% deviation from the expected value at low concentrations and ≤15% at medium and high concentrations) [26]. The lowest recovery was noted for samples spiked with the low concentrations of tocopherols (88–96%). When taking into account all concentrations of the spiked analytes (low, medium, and high), as well as the intraday and interday performance, the lowest recovery variation was noted for α-T (95–99%) and the highest for δ-T (88–99%) (Table 3).

Recovery, precision, and accuracyLevels of tocopherol standardsTocopherols

Intraday recovery (%)Low95948988

Interday recovery (%)Low96949191

Intraday precision (CV%)Low5.

Interday precision (CV%)Low5.

Intraday accuracy (bias%)Low4.66.510.911.8

Interday accuracy (bias%)Low4.

3.2.4. Accuracy and Precision

Intraday and interday precision were excellent with no values outside of the FDA limits (±15%). Generally, the precision was below 5%, with the exception of samples spiked with the low concentrations of tocopherols where values were in the range between 5 and 8% (Table 3). Intraday and interday accuracies were excellent and similar as precision with no values outside of the FDA limits (±15%). Generally, the accuracies were much better for samples spiked with the higher concentrations of tocopherols (0.4–1.7%), than for the spiked samples at low level concentrations (4.4–11.8%) (Table 3).

3.3. Tocopherols in Seeds of Nine Fruit Species

The composition of tocopherols in the seeds of nine different fruit species (R. idaeus, R. rubrum, R. nigrum, F. × ananassa, M. domestica, R. canina, H. rhamnoides, Ch. japonica, and C. lanatus) have all been presented in Table 4. In four species (R. idaeus, R. nigrum, M. domestica, and H. rhamnoides), 44% of the studied samples detected all four tocopherol homologues. This observation highlights the usefulness of isomers β and γ separation to obtain detailed information about the tocopherols composition. The development of chromatographic methods that provide resolution and detection selectivity of all four tocopherols must be utilized instead of methods that use the sum of β + γ tocopherol.

α-Tβ-Tγ-Tδ-TTotal Ts

R. idaeus25.3 ± 1.5e2.3 ± 0.1a47.3 ± 2.5e4.3 ± 0.2b79.2 ± 4.3e
F. × ananassa13.7 ± 0.7dnd11.6 ± 0.5atr25.3 ± 1.3bc
R. rubrum5.9 ± 0.5b1.5 ± 0.2a32.8 ± 1.5c12.2 ± 0.7c52.4 ± 3.0d
R. nigrum11.0 ± 0.9cnd37.0 ± 2.5d4.2 ± 0.2b52.2 ± 3.7d
M. domestica22.4 ± 2.2e14.0 ± 1.0b9.9 ± 0.5a10.4 ± 0.4c56.7 ± 4.1d
H. rhamnoides39.0 ± 2.5f2.4 ± 0.2a11.1 ± 0.7a1.0 ± 0.1a53.5 ± 3.5d
Ch. japonica13.9 ± 0.8dtrtrnd13.9 ± 0.8a
R. canina11.9 ± 0.6cnd11.5 ± 0.5and23.4 ± 1.2b
C. lanatus1.1 ± 0.1and25.3 ± 1.5b0.5 ± 0.1a26.9 ± 1.7c

Values are expressed as the mean ± standard deviation (). Different letters in the same column indicate statistically significant differences at . T, tocopherol; nd, not detected; tr, traces (<0.1 mg/100 g dw).

The composition of tocopherols in the seeds of nine species was characterised, and the lowest and highest levels for each homologue is as follows: C. lanatus vs. H. rhamnoides for α-T (1.1 vs. 39.0 mg/100 g dw), Ch. japonica vs. M. domestica for β-T (trace amount <0.1 mg (tr) vs. 14.0 mg/100 g dw), Ch. japonica vs. R. idaeus for γ-T (tr vs. 47.3 mg/100 g dw), F. × ananassa vs. R. rubrum for δ-T (tr vs. 12.2 mg/100 g dw), and Ch. japonica vs. R. idaeus for total tocopherols (13.9 vs. 79.2 mg/100 g dw). Because of the dominance of one of the homologues, the studied samples can be divided into three groups of seeds dominated by α-T (M. domestica, H. rhamnoides, and Ch. japonica), γ-T (R. idaeus, R. rubrum, R. nigrum, and C. lanatus) and both forms α-T and γ-T in similar levels (F. × ananassa and R. canina). The profile and concentration of tocopherols in the studied seed samples of nine different fruit species was similar to previous reports [6, 30].

4. Conclusion

In the past, the concentrations of tocopherol isomers β and γ, could only be reported as their respective sums due to lack of resolving power/selectivity provided by the C18 column employed for RP-LC. The present study shows, that the tocopherol isomers β and γ can be separated by employing the same C18 column via SFC. The developed SFC method with UV detection, despite an order of magnitude lower sensitivity relative to RP-LC with fluorescence detection, did not require different procedures of the sample preparation than those used in RP-LC method with fluorescence detection. With the development of this rapid, precise, accurate, and most importantly environmentally-friendlier chromatographic method, it is now possible to characterize all four tocopherol homologues in plant material <2 minutes. The present study sheds a new light on the use of the C18 column, and new technology using supercritical CO2 as the main mobile phase.


SFC:Supercritical fluid chromatography
RP-LC:Reversed-phase liquid chromatography
NP-LC:Normal-phase liquid chromatography
CO2:Carbon dioxide.

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare that they have no conflicts of interest regarding the publication of this article. A.S. is a recipient of an ANII PD scholarship and a researcher from CSIC and SNI, Uruguay.


This research was supported by the ERAF project “Environment-friendly cultivation of emerging commercial fruit crop Japanese quince–Chaenomeles japonica and waste-free methods of its processing” (no.


  1. R. Eitenmiller and J. Lee, Vitamin E: Food Chemistry, Composition, and Analysis, Marcel Dekker Inc., New York, NY, USA, 2004.
  2. G. W. Burton, “Vitamin E: molecular and biological function,” Proceedings of the Nutrition Society, vol. 53, no. 2, pp. 251–262, 2007. View at: Publisher Site | Google Scholar
  3. D. DellaPenna, “A decade of progress in understanding vitamin E synthesis in plants,” Journal of Plant Physiology, vol. 162, no. 7, pp. 729–737, 2005. View at: Publisher Site | Google Scholar
  4. C. I. G. Tuberoso, A. Kowalczyk, E. Sarritzu, and P. Cabras, “Determination of antioxidant compounds and antioxidant activity in commercial oilseeds for food use,” Food Chemistry, vol. 103, no. 4, pp. 1494–1501, 2007. View at: Publisher Site | Google Scholar
  5. P. Górnaś, A. Soliven, and D. Segliņa, “Seed oils recovered from industrial fruit by-products are a rich source of tocopherols and tocotrienols: rapid separation of α/β/γ/δ homologues by RP-HPLC/FLD,” European Journal of Lipid Science and Technology, vol. 117, no. 6, pp. 773–777, 2015. View at: Publisher Site | Google Scholar
  6. P. Górnaś, I. Pugajeva, and D. Segliņa, “Seeds recovered from by-products of selected fruit processing as a rich source of tocochromanols: RP-HPLC/FLD and RP-UPLC-ESI/MSn study,” European Food Research and Technology, vol. 239, no. 3, pp. 519–524, 2014. View at: Publisher Site | Google Scholar
  7. P. Górnaś, I. Mišina, I. Grāvīte et al., “Composition of tocochromanols in the kernels recovered from plum pits: the impact of the varieties and species on the potential utility value for industrial application,” European Food Research and Technology, vol. 241, no. 4, pp. 513–520, 2015. View at: Publisher Site | Google Scholar
  8. A. Kamal-Eldin, S. Görgen, J. Pettersson, and A.-M. Lampi, “Normal-phase high-performance liquid chromatography of tocopherols and tocotrienols,” Journal of Chromatography A, vol. 881, no. 1-2, pp. 217–227, 2000. View at: Publisher Site | Google Scholar
  9. P. Górnaś, A. Siger, J. Czubinski, K. Dwiecki, D. Segliņa, and M. Nogala-Kalucka, “An alternative RP-HPLC method for the separation and determination of tocopherol and tocotrienol homologues as butter authenticity markers: a comparative study between two European countries,” European Journal of Lipid Science and Technology, vol. 116, pp. 895–903, 2014. View at: Publisher Site | Google Scholar
  10. N. Grebenstein and J. Frank, “Rapid baseline-separation of all eight tocopherols and tocotrienols by reversed-phase liquid-chromatography with a solid-core pentafluorophenyl column and their sensitive quantification in plasma and liver,” Journal of Chromatography A, vol. 1243, pp. 39–46, 2012. View at: Publisher Site | Google Scholar
  11. B. Cervinkova, L. K. Krcmova, S. Klabackova, D. Solichova, and P. Solich, “Rapid determination of lipophilic vitamins in human serum by ultra-high performance liquid chromatography using a fluorinated column and high-throughput miniaturized liquid-liquid extraction,” Journal of Separation Science, vol. 40, no. 17, pp. 3375–3382, 2017. View at: Publisher Site | Google Scholar
  12. S. Strohschein, M. Pursch, D. Lubda, and K. Albert, “Shape selectivity of C30Phases for RP-HPLC separation of tocopherol isomers and correlation with MAS NMR data from suspended stationary phases,” Analytical Chemistry, vol. 70, no. 1, pp. 13–18, 1998. View at: Publisher Site | Google Scholar
  13. December 2018,
  14. M. N. Irakli, V. F. Samanidou, and I. N. Papadoyannis, “Development and validation of an HPLC method for the simultaneous determination of tocopherols, tocotrienols and carotenoids in cereals after solid-phase extraction,” Journal of Separation Science, vol. 34, no. 12, pp. 1375–1382, 2011. View at: Publisher Site | Google Scholar
  15. E. D. Tsochatzis, K. Bladenopoulos, and M. Papageorgiou, “Determination of tocopherol and tocotrienol content of Greek barley varieties under conventional and organic cultivation techniques using validated reverse phase high-performance liquid chromatography method,” Journal of the Science of Food and Agriculture, vol. 92, no. 8, pp. 1732–1739, 2012. View at: Publisher Site | Google Scholar
  16. M. N. Irakli, V. F. Samanidou, and I. N. Papadoyannis, “Optimization and validation of the reversed-phase high-performance liquid chromatography with fluorescence detection method for the separation of tocopherol and tocotrienol isomers in cereals, employing a novel sorbent material,” Journal of Agricultural and Food Chemistry, vol. 60, no. 9, pp. 2076–2082, 2012. View at: Publisher Site | Google Scholar
  17. B. Yang, M. Ahotupa, P. Määttä, and H. Kallio, “Composition and antioxidative activities of supercritical CO2-extracted oils from seeds and soft parts of northern berries,” Food Research International, vol. 44, no. 7, pp. 2009–2017, 2011. View at: Publisher Site | Google Scholar
  18. P. Górnaś, “Oak Quercus rubra L. and Quercus robur L. acorns as an unconventional source of gamma-and beta-tocopherol,” European Food Research and Technology, vol. 245, no. 1, pp. 257–261, 2019. View at: Publisher Site | Google Scholar
  19. K. Kaczmarski, D. P. Poe, and G. Guiochon, “Numerical modeling of the elution peak profiles of retained solutes in supercritical fluid chromatography,” Journal of Chromatography A, vol. 1218, no. 37, pp. 6531–6539, 2011. View at: Publisher Site | Google Scholar
  20. L. Nováková, A. G.-G. Perrenoud, I. Francois, C. West, E. Lesellier, and D. Guillarme, “Modern analytical supercritical fluid chromatography using columns packed with sub-2 μm particles: a tutorial,” Analytica Chimica Acta, vol. 824, pp. 18–35, 2014. View at: Publisher Site | Google Scholar
  21. A. Tarafder, K. Kaczmarski, D. P. Poe, and G. Guiochon, “Use of the isopycnic plots in designing operations of supercritical fluid chromatography. V. Pressure and density drops using mixtures of carbon dioxide and methanol as the mobile phase,” Journal of Chromatography A, vol. 1258, pp. 136–151, 2012. View at: Publisher Site | Google Scholar
  22. C. M. Vera, D. Shock, G. R. Dennis, W. Farrell, and R. A. Shalliker, “Comparing the selectivity and chiral separation of D-and L-fluorenylmethyloxycarbonyl chloride protected amino acids in analytical high performance liquid chromatography and supercritical fluid chromatography; evaluating throughput, economic and environmental impact,” Journal of Chromatography A, vol. 1493, pp. 10–18, 2017. View at: Publisher Site | Google Scholar
  23. C. M. Vera, D. Shock, G. R. Dennis et al., “A preliminary study on the selectivity of linear polynuclear aromatic hydrocarbons in SFC using phenyl-type stationary phases,” Microchemical Journal, vol. 121, pp. 136–140, 2015. View at: Publisher Site | Google Scholar
  24. C. M. Vera, D. Shock, G. R. Dennis et al., “Contrasting selectivity between HPLC and SFC using phenyl-type stationary phases: a study on linear polynuclear aromatic hydrocarbons,” Microchemical Journal, vol. 119, pp. 40–43, 2015. View at: Publisher Site | Google Scholar
  25. P. Górnaś, D. Segliņa, G. Lācis, and I. Pugajeva, “Dessert and crab apple seeds as a promising and rich source of all four homologues of tocopherol (α, β, γ and δ),” LWT-Food Science and Technology, vol. 59, no. 1, pp. 211–214, 2014. View at: Publisher Site | Google Scholar
  26. CDER, “Center for Drug Evaluation and Research (CDER) at the Food and Drug administration,” August 2018, View at: Google Scholar
  27. L. R. Snyder, J. J. Kirkland, and J. W. Dolan, Introduction to Modern Liquid Chromatography, John Wiley & Sons, Hoboken, NJ, USA, 2010.
  28. S. C. Cunha, J. S. Amaral, J. O. Fernandes, and M. B. P. P. Oliveira, “Quantification of tocopherols and tocotrienols in Portuguese olive oils using HPLC with three different detection systems,” Journal of Agricultural and Food Chemistry, vol. 54, no. 9, pp. 3351–3356, 2006. View at: Publisher Site | Google Scholar
  29. P. T. Gee, C. Y. Liew, M. C. Thong, and M. C. L. Gay, “Vitamin E analysis by ultra-performance convergence chromatography and structural elucidation of novel α-tocodienol by high-resolution mass spectrometry,” Food Chemistry, vol. 196, pp. 367–373, 2016. View at: Publisher Site | Google Scholar
  30. P. Górnaś, K. Juhņeviča-Radenkova, V. Radenkovs et al., “The impact of different baking conditions on the stability of the extractable polyphenols in muffins enriched by strawberry, sour cherry, raspberry or black currant pomace,” LWT-Food Science and Technology, vol. 65, pp. 946–953, 2016. View at: Publisher Site | Google Scholar

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