Fast screening of turkish olive oil by NMR spectroscopy for geographical determination and discrimination purposes

S. Ok^a,b,*

^aSchool of Earth Sciences, The Ohio State University, 125 South Oval Mall, 43210, Columbus, OH, USA

^bInstitut für Chemie, Universität Osnabrück, 49069, Osnabrück, Germany

*Correspondence: ok.12@osu.edu

1. INTRODUCTIONTOP

Olive oil, a “natural fruit juice”, is extracted from the fruit of Olea europea L. by mechanical techniques or other physical procedures (Mannina and Sobolev, 2011; Sacchi et al.,1998; Alonso-Salces et al., 2010a) which do not alter the glyceric structure of the oil and preserve its properties (Alonso-Salces et al., 2010a). For food safety reasons, there are international regulations established to define the genuineness of olive oil (altering from seed oils) and to determine its quality grade (extra virgin, virgin, pomace, etc.) (Zeiner et al., 2005, and Zamora et al., 2001). In olive oil safety analysis, one of the major concerns is the geographical origin (Alonso-Salces et al., 2010a; Zeiner et al., 2005; Alonso-Salces et al., 2010b). Olive oil has two organic components: a major fraction of triglycerides with >98%, and different substitution patterns due to the length, degree and kind of unsaturation of the acyl groups, and unsaponifiable minor fraction with <2% such as squalene, α-tocopherol, phytosterols, phenolic compounds, carotenoids, etc. (Guillén and Ruiz, 2001; Alonso-Salces et al., 2010a; Sacchi et al., 1997; Alonso-Salces et al., 2010b). In order to determine a geographical origin, analyzing both the major and minor discriminative constituents of olive oils is essential.

Among the different leading countries in olive production, olive oils from Spain, Italy and Greece have been analyzed in detail (Sacchi et al., 1998; Alonso-Salces et al., 2010a; Alonso-Salces et al., 2010b; D’Imperio et al., 2007; Sacchi et al., 1996; Hatzakis et al., 2008). However, there are limited reports and insufficient data on the geographical discrimination of olive oils and olive processing from countries such as Jordan and Turkey (Andjelkovic et al., 2009; Degirmencioglu, 2011). In most studies on Turkish olive oil for instance, the main focus was the olive oil from North Aegean (Andjelkovic et al., 2009; Ilyasoglu et al., 2010), the western and south eastern regions of Turkey (Ocakoglu et al., 2009), despite the fact that there are five more distinct olive growing regions in Turkey: The Aegean region (western Turkey), the Marmara region (north-western Turkey), the Mediterranean region (southern Turkey), the Southeast Anatolian region, and the Black Sea region (northern Turkey), listed from the highest percentage production to the lowest one (Arslan and Schreiner, 2012). In contributing to the Turkish olive oil analysis, Andjelkovic et al. (2009) analyzed only ten commercial olive oils from North Aegean of Turkey by gas chromatography (GC) while Ilyasoglu et al. (2010) applied liquid chromatography-mass spectrometry (LC-MS) to analyzing only thirteen samples from the same region. In the present work, the number of samples is higher, and there are samples from three additional countries.

Nuclear magnetic resonance (NMR) spectroscopy, employed in olive oil analysis (Zamora et al., 2001; Sacchi et al., 1997; D’Imperio et al., 2007; Sacchi et al., 1996; Guillén and Ruiz, 2001), has advantages of higher sensitivity, intrinsic linearity, higher precision, and shorter experimental time (Sacchi et al., 1996). Among other techniques used for analyzing olive oil, the addition of iodine to react quantitatively with the double bonds of linoleic or linolenic acids is time consuming, and rapid screening by NMR may be of interest to the industry (Guillén et al., 2001). There is also a possibility of applying recent advanced NMR experiments such as diffusion ordered spectroscopy (DOSY) to oils (Socha et al., 2010).

The aim of this work is to contribute to the geographical origin determination and discrimination of olive oils from the non-European side of the Mediterranean region by combining NMR and statistical methodology ANOVA. For this purpose, single pulse 500-MHz ¹H NMR spectra of 38 olive oil samples from five well-defined distinct regions of Turkey, in addition to analyzing olive oils from Jordan, Palestine and Libya were recorded. Quantitative data of selected resonances was evaluated with the Analysis of Variance (ANOVA) method. ¹H DOSY NMR was also applied for determining sub-fractions such as sterols in olive oil samples instead of chromatography. The determination of minor components is made in order to figure out some trends related to the geographical origin of the olive oils and to compare the discriminative ability of the current data to similar works on subfraction determination of olive oils from several countries (Alonso-Salces et al., 2010b).

2. MATERIALS AND METHODSTOP

2.1. ChemicalsTOP

Deuterated chloroform (CHCl₃-d), 99.8% atom % D stabilized with 0.5% wt silver foil, were purchased from Aldrich.

2.2. Olive OilsTOP

All olives were harvested by hand during the period from November 2010 to January 2011 and processed via mechanical techniques without any chemical treatment to olive oil by local producers. The olive oils were “virgin” oils since they were not refined or further processed upon production. Olive oils were obtained from several cities in Turkey, Jordan, Palestine and Libya. The olive oils were kept at 18 ^oC in a dark room where air conditioning worked continuously. Thus, prior to and during analysis, all the samples were protected from light. The NMR experiments were conducted as soon as the olive oils were received.

2.3. NMR SpectroscopyTOP

Olive oils (150 μL) were placed in 5 mm NMR tubes, dissolved in chloroform-d (0.6 mL), the NMR tubes were sealed. ¹H NMR data were acquired on a JEOL 500 MHz Lambda instrument with a multi-nuclei 5mm solution probe (50TH5/FG2). The ¹H NMR spectra were acquired with a recycle delay time of 10 s, and with 16 repetitions. The proton spectra were internally referenced to the signal of the solvent at 7.25 ppm. The chosen delay time was sufficient, 5*T₁, to enable quantitative analysis (Segre and Mannina, 1997; Alonso-Salces et al., 2010a). ¹H DOSY NMR data were acquired on a Bruker 400WB Plus spectrometer operating at a Larmor frequency of 400.1 MHz for ¹H equipped with a 5 mm BBO probe including a z-axis gradient coil with a maximum strength of 50 G·cm⁻¹. ¹H DOSY NMR experiments were performed in 16 steps using the standard Bruker ledbpgp2s pulse program with stimulated echo and longitudinal eddy delay with bipolar gradients and two spoil gradients. The recycle delay was 10 s, while gradient recovery delays were 80 ms, and diffusion times were 100 ms. The individual rows of the 2D diffusion databases were phased and baseline corrected.

2.4. Data AnalysisTOP

The quantitative analysis of the region between 0 ppm and 4 ppm in ¹H NMR spectra of the olive oil samples is made with reference to the literature (Sacchi et al., 1997; Sacchi et al., 1996). The resonances at 0.98 ppm (E), 0.88 ppm (F), 2.01 ppm (C), and 2.77 (A) arise from the following functional groups having a different number of protons, respectively:-CH₃ (terminal group) ((Ln (18:3)); (3H),-CH₃ (terminal group) ((L (18:2)) (3H)+(O (18:1)) (3H)+saturated fatty acyl (S) (3H); 9H),-CH₂-CH=CH (allylic group) ((L (18:2)) (4H)+(Ln (18:3)) (4H)+(O (18:1)) (4H); 12H), CH=CH-CH₂-CH=CH (diallylic group) ((L (18:2)) (2H) +(Ln (18:3)) (4H); 6H). The–CH₃ (E) chemical shift of Ln (18:3) is ~0.10 ppm de-shielded with respect to the analogous terminal groups of the other major fatty acyls. This is attributed to the de-shielding of–CH₃ (E) by the nearby double bond electrons. The same de-shielding effect also explains the ~ 0.76 ppm difference between the signals of allylic (C) and diallylic (A)–CH₂ groups (Alonso-Salces et al., 2010a; Alonso-Salces et al., 2010b; Sacchi et al., 1996). The assignments of the ¹H NMR signals of the triglycerides are already well known (Segre and Mannina, 1997; Sacchi et al., 1996; Guillén and Ruiz, 2001). The integral value of each signal is proportional to the number of nuclei contributing to that signal. Taking the multiplicity of proton atoms per functional group into account, the relative content of each group is directly derived. The integral of the lowest intensity peak arising from the terminal-CH₃ of (Ln (18:3)) (E) is taken as 1. The integrals of the remaining peaks are determined with respect to the integral value of E. The integral values of the peaks (E, A, C, F) are compared to the number of corresponding protons.

CH3 (Ln)=E

CH (Ln)=E / 3 (eq. 1)

The content of Ln (18:3) is determined by dividing the integral value of E at 0.98 ppm with 3 due to the three hydrogen of the terminal group of Ln (18:3).

CH2 (L)+2*CH2 (Ln)=A

2*CH (L)+4*CH (Ln)=A

CH (L)=[A−4*CH (Ln)] / 2 (eq. 2)

Then taking the multiplicity of the diallylic protons into account, the integral value of A at 2.77 ppm yields the content of L (18:2).

2*CH2 (L)+2*CH2 (Ln)+2*CH2 (O)=C

4*CH (L)+4*CH (Ln)+4*CH (O)=C

CH (O)=[C−4*CH (L)−4*CH (Ln)] / 4 (eq. 3)

The relative amount of O (18:1) is calculated referring to the allylic protons, so the integral value of C at 2.01 ppm.

CH3 (L)+CH3 (O)+CH3 (S)=F

3*CH (L)+3*CH (O)+3*CH (S)=F

CH (S)=[F−3*CH (L)−3*CH (O)] / 3 (eq. 4)

Similarly, the content of S is measured from the integral value of F arising from the terminal CH₃ protons of free acids at 0.88 ppm. Each fatty acyl value obtained from the equations is summed, followed by dividing the value of each fatty acyl with the sum and multiplying the result by 100. The integration of each peak in the ¹H NMR spectra is repeated 6 times using the iNMR software to get average and standard deviations (see Table 1 showing the geographical origins of olive oil samples, and the relative contents of each fatty acyl in olive oil samples).

2.5. Statistical AnalysisTOP

¹H NMR data were analyzed by analysis of variance (ANOVA) using Tukey's test at a p level <0.05 (5% significance level) with SPSS software. The p level <0.05 (5% significance level) was the treatment as a borderline acceptable error level. The ANOVA analysis was performed on the percentage fraction of the fatty acyl contents, Linolenoyl (Ln, 18:3), Linoleoyl (L, 18:2), Oleoyl (O, 18:1), and Saturated (S) fatty acyls, obtained from the intensities of ¹H NMR resonances.

3. RESULTSTOP

Figure 1 shows a typical ¹H NMR spectrum with the letter and number labels, while the peaks of major concerns are the ones labeled with both letter and number. There is no evidence of free fatty acids, which would appear in rancid oil. Major constituents of olive oil are esters of glycerol and fatty acids (Sacchi et al., 1997). Olive oil contains 70–80% oleoyl (monounsaturated fatty acyl) (18:1), a low level of polyunsaturated acids (linoleoyl fatty acyl (18:2) and less than 1% linolenoyl fatty acyl (18:3)) and saturated fatty acyls (palmitic and stearic acyls) (Sacchi et al., 1997; Alonso-Salces et al., 2010a; Sacchi et al., 1996; Guillén and Ruiz, 2001). In the current report, the first interest is in fatty acyl content determination for geographical discrimination.

The advantage of ¹H NMR is that a different chemical environment of the hydrogen isotope is reflected in the NMR spectra with sharp signals. The distinct spectral lines are related to the chemical nature of the hydrogen atoms, and the intensities of the lines directly correspond to the number of hydrogens producing the sharp signals (Guillén and Ruiz, 2001; Mannina and Segre, 2002).

The oleoyl acyl content of Ayvalık olive oil determined by the current method is closer to the data of 2005 and 2006 (Andjelkovic et al., 2009). However, the fraction of saturated acyls in total is higher while the percentage of linoleoyl acyl is lower than the values reported for Ayvalık olive oil (Andjelkovic et al., 2009). The samples of the Marmara region have a linolenoyl acyl percentage ranging between 1.3 to 0.1% and 2.1 to 0.1%. The results of Aegean region depict overall higher values of oleoyl acyl content with respect to the Marmara region. Olive oil from Bayındır has almost 80% oleoyl acyl while the oil from the Aegean region contains the lowest linoleoyl acyl content of 3.4±0.2%. Similar to the Marmara region, the linoleoyl acyl fraction is the best discriminating factor of the olive oils in the Aegean region. Both the linolenoyl acyl and linoleoyl acyl fractions may be used for distinguishing the geographical origin of the samples from the Mediterranean region (southern Turkey). Among all the samples analyzed in this study, Samandağı olive oil has the highest linolenoyl acyl, saturated acyl, and linoleoyl acyl fractions at 3.0 to 0.1%, 26.5 to 0.6%, and 31.9 to 0.6%, respectively. The olive oil from Alanya has approximately 50–70% higher linoleoyl acyl content than the rest of the olive oils (excluding Samandağı olive oil). Olive oil from Nizip, in the southeastern region of Turkey, has the same saturated acyl content as the reference Gurdeniz et al. (2008). However, the olive oil from Nizip has lower linoleoyl acyl fraction with respect to the same study about a different season (Gurdeniz et al., 2008). There are two geographical regions, the Black Sea region, and the southeastern region, that do not have direct access to the Mediterranean Sea. For this reason, the number of olive growing towns and cities in the Black Sea and southEeastern regions of Turkey is scarce. This limits the number of olive oil samples to be analyzed from these regions. Despite this fact, it is possible to grow olives in, for instance, Yusufeli, in the Black Sea region (northern Turkey). The olive oil from Yusufeli has approximately 15–25% lower saturated acyl content with respect to the rest of the samples. This is attributed to the geographical location. Furthermore, the fatty acyl content of Hatay-Samandağı does not reflect the properties of typical virgin olive oil. This very unusual result is attributed to the very high relative humidity of that region. The relative humidity map of the Turkish Meteorology Institute indicates very high humidity, which distinguishes Samandağı from the rest of the olive oil growing regions (Website of Turkish Metrology Institute).

In addition to analyzing olive oil samples from different regions of Turkey, samples from Libya and the Middle East are also analyzed. Table 2 depicts the contents of these oils. The olive oil samples from the Middle East and Libya can be distinguished based on the fractions of linoleoyl acyl and oleoyl acyl. One of the samples from Jordan/Ibrid and the olive oil from Libya/Benghazi have closer percentages for all the acyls. On the other hand, one of the aims of this study is to analyze several samples from different regions of the same village to show the possibility of distinguishing olive oil samples even in a small area. For this purpose, Kurşunlu village of Bursa/Gemlik, with five samples, was selected (see Table 3).

The one-dimensional ¹H NMR spectra are also analyzed for the determination of minor constituents. The common peaks with low intensity arising from minor components are at 0.67 ppm, 0.99 ppm, 1.66 ppm, 1.87 ppm (excluding the olive oil from Palestine), 2.15 ppm, 2.42 ppm, 2.79 ppm, 3.62 ppm, 3.71 ppm. There is a peak at 1.77 ppm observed only in the spectra of Balıkesir (Gömeç) (1), Balıkesir (Altınova) (2), İzmir (Bağyurdu Erbiller, Bayındır, Kemalpaşa, and Torbalı), Manisa (Kırkağaç), Gaziantep, Artvin (Yusufeli), and Libya (Benghazi). This signal was also observed in the ¹H NMR spectra of olive oils from Lazio and Campania in Italy, but not clarified (Alonso-Salces et al., 2010a). This resonance at 1.77 ppm is attributed to erythrodiol (Altun and Ok, 2012). There are also four interesting signals observed in the spectra of Bursa (Gemlik), İzmir (Torbalı), Manisa (Kırkağaç), Hatay (Samandağı) olive oils at 3.50 ppm, 3.13 ppm, 3.31 ppm, and 3.02 ppm, respectively. The signal at 3.50 ppm is attributed to stigmasterol, campesterol, β-sitosterol (the sterol fraction), while the other 3 peaks were de-shielded with respect to the fatty acid peaks arising from alcoholic fractions such as cycloartenol and erythrodiol (Alonso-Salces et al., 2010b).

One of the major goals in the current report is to screen the minor constituents of olive oil in detail based on the diffusion coefficients of the minors by ¹H DOSY NMR, a non-invasive analytical echnique for mixture analysis that does not require prior separation of the components in the mixture (Tsuda et al., 2006). In addition to 1D ¹H NMR quantitative analysis by statistical approaches, the existence of minor fractions in olive oils is further sought by ¹H DOSY NMR. The major motivation in doing that is to explore other traces for geographical discrimination studies non-invasively and time effectively without prior sample preparation and treatment. Since DOSY has been recently applied for analyzing bio-diesel (methyl ester) production from triacylglycerol (Socha et al., 2010), it is thought to use DOSY as ‘NMR chromatography’ for screening minor components in olive oils, instead of chromatography, which was already applied in olive oil analysis (Ballesteros et al. 2006; Rocco and Fanali, 2009) (see Figure 2 and Table 4 for the details). Chromatography has problems related to the oxidation of the sample, with the formation of artifacts during transesterification, and with the separation identification of the methyl esters in the chromatographic trials.

Figure 2 shows a typical ¹H DOSY NMR spectrum of an olive oil analyzed in this study. ¹H DOSY NMR has been applied for analyzing several of the samples in this contribution to verify the existence of the minors since their signals overlap with the peaks of the major components. Furthermore, the ¹H DOSY NMR data, as shown in table 4, depicts some trends directly related to the geographical origin of samples. In analyzing the ¹H DOSY spectra, the interest of region is between 0.60 ppm and 3.00 ppm. As shown in Figure 2, the diffusion coefficients of the major constituents are all in the same region, attributed to closer molecular weight values (Table 4). Spiking with a reference compound and acquisition of DOSY of the spiked sample can give evidence of the current obtained data. Therefore, the study by Altun and Ok, 2012 is referred to, where each olive oil minor compound was distinguished from each other based on the discriminative NMR signals. The peak at 1.66 ppm in the ¹H NMR spectrum of squalene discriminates squalene from the other minor constituents. Sterol fraction has diffusion coefficients in the range of 10^−9.20 m²/s and 10^−9.40 m²/s. The diffusion coefficient of squalene is approximately 10^−9.20 m²/s. The peak at 0.82 ppm, attributed to β-sitosterol has a diffusion coefficient closer to 10^−9.20 m²/s. This is explained by the closer molecular weights of β-sitosterol (414.72 g·mol⁻¹) and squalene (410.73 g·mol⁻¹). The diffusion coefficient of the signals arising from the tocopherol fraction ranges between 10^−8.83 m²/s and 10^−9.35 m²/s, attributed to the existence of various tocopherol derivatives.

4. DISCUSSIONTOP

First the analysis of olive oils from the Marmara (northwestern Turkey) and Aegean (western Turkey) regions is performed. The olive-growing regions of Turkey depict genetic varieties since olive growing is geographically dispersed into five distinct areas. For example, in the Manisa region the olives grown are mainly known as Domat, Uslu (only for oil production), while the Izmir region has a variety of olive tree stereotypes such as Erkence and çekişte (suitable for both table consumption and oil production), and Gemlik is widespread in the Aegean and Marmara regions of Turkey (Isik et al., 2011; Arslan and Schreine, 2012; Arslan, 2012). The fatty acid composition of different Turkish olive varieties has been also studied (Tanilgan et al., 2007). In the study by Tanilgan et al. (2007) it was shown that, excluding the olive oil of the Uslu type variety, both the saturated and unsaturated fatty acyl fractions of Gemlik, Kilis, Tirilye and Ayvalik varieties were closer. For this reason, in the current contribution, the contents of olive oils are analyzed in order to figure out the most important key parameters for geographical discrimination rather than the other factors influencing the composition of olive oils such as olive variety.

The ANOVA analysis was performed on the content of each fatty acyl (Ln (18:3), L (18:2), O (18:1), and S) calculated from the integral values using the equations mentioned above. As mentioned in the literature, the ANOVA analysis was done for two reasons: i) to figure out the most selective resonance in distinguishing between oils of different regions and ii) to find a possible clustering of olive oil samples from different provinces and geographical regions (D’Imperio et al., 2007). The ANOVA results are shown in Tables 1 and 5. Among 4 resonances considered, only the linoleoyl acyl content variable resulted in significant discrimination between oils of different origin. In analyzing different olive oils from Lazio/Italy, it was reported that the linolenoyl acyl content, oleoyl acyl fraction and squalene were the most discriminant parameters (D’Imperio et al., 2007). In distinguishing the oils with respect to origin of city, the oil from Artvin/Yusufeli (Black Sea region of northern Turkey) is discriminated easily. Olive oils from Antalya and Hatay (the Mediterranean region of southern Turkey) are apparently different than the rest. Among the olive oil samples from the Aegean region (western Turkey), it is possible to differentiate olive oil samples from İzmir/Kemalpaşa/Ulucak, Aydın/çine, and İzmir/Torbalı (1). The results of the Marmara region (northwestern Turkey) olive oils distinguish Çanakkale and Yalova/Armutlu samples from the remaining oils. The olive oils of Gaziantep and Gaziantep/Nizip (southeastern Turkey) may be differentiated based on the ANOVA analysis. However, most of the olive oils from especially the Aegean (western Turkey) and Marmara regions (northwestern Turkey) cannot be distinguished from each other due to closer data from different cities of these two regions. For this reason, a further ANOVA analysis with respect to only region origin is performed. In this way, a reliable classification is observed corresponding to the geographical regions examined. The first column in Table 5 indicates a very good clustering from southeastern Aegean (western Turkey), Marmara (northwestern Turkey), Black Sea (northern Turkey), and Mediterranean (southern Turkey) regions, respectively (excluding Çanakkale olive oil). The approach of combining NMR spectroscopy with statistical ANOVA method showed discrimination between olive oil samples from five well-defined geographical regions of Turkey. In a study dedicated to the ¹H NMR analysis of the phenolic fraction of twenty-eight olive oil samples from three different areas of the Apulia region of Italy, Sacco et al. (2000) reported discrimination between Coast, Hinterland, and North samples. This suggests that the present approach for discriminating among olive oil samples is in accordance with similar studies.

The content of (L, 18:2) distinguishes between the olive oils from the Middle East and Libya. The sample from Jerash in Jordan has the lowest (L, 18:2) acyl content while the same sample has the highest (O, 18:1) acyl fraction. Compared to Turkish olive oils, the olive oil from Jerash in Jordan has a higher (O, 18:1) acyl content than the rest of the Turkish olive oils (excluding İzmir/Bayındır). Although Hatay/Samandağı is in the Mediterranean region closer to Jordan and Palestine, the data on olive oil from Hatay/Samandağı has completely different fatty acyl values with respect to Jordan and Palestine olive oils. Such a fast screening by ¹H NMR helps distinguish the olive oils of the Middle East from the Turkish samples.

As the harvest season is extended in the hillside region of the village, there is a significant increase in the oleoyl acyl content. In addition, the extension in the harvest season at sea level causes a slight increase in the saturated fatty acyl percentage. The data on the hillside and sea level reveal that olive oils from the sea level have higher linoleoyl acyl percentages and lower oleoyl acyl contents. Such composition differences in the case of the Kurşunlu village may be attributed to the altitude difference as discussed in the literature (D’Imperio et al., 2007). A minor component analysis of Kurşunlu olive oil revealed two interesting peaks at 1.93 ppm and 3.35 ppm in the spectra of the samples from the hillside. The one at 1.93 ppm is attributed to the erythrodiol fraction while the one at 3.35 ppm to the cycloartenol (Altun and Ok, 2012).

Besides the quantitative NMR analysis with the combination of statistical approach, ¹H DOSY NMR results also correlate the existence of minor organic compounds with the geographical origins of the olive oil samples. Squalene was detected in the olive oils from the Marmara and southeastern regions (excluding Çanakkale/Eceabat) while among the olive oils of the Aegean region, squalene was observed only in the sample from Aydın/Çine. In a recent study by Alonso-Salces et al. (2010b) it was mentioned that the squalene signal at 1.67 ppm influenced the statistical discriminative analysis of Turkish olive oil from Spanish, Italian, and Greek olive oils. Moreover, the squalene signal seems to be found in some of the Turkish olive oils but not in all. It seems that the Turkish olive oil samples studied by Alonso-Salces et al. (2010b) were from the Marmara region (northwestern Turkey). Further, a tocopherol fraction was detected only in three different samples (Kurşunlu/Sea Level (1), Nizip, and Aydın/Çine).

5. CONCLUSIONSTOP

In the current study, several olive oil samples from different regions of Turkey, Middle East and Libya have been analyzed. Despite the limited number of samples from some regions, interesting trends were revealed. NMR data seemed to permit the discrimination of extra-virgin olive oils in terms of geographical region rather than providence. The fatty acyl composition data is also helpful in discriminating Turkish olive oil from Jordan, Palestine and Libya samples. It seems that a small area of an olive growing village depicts important sampling for the analyzing parameters of harvest dates, hillside and sea level. Furthermore the quantitative analysis of ¹H NMR spectra by the ANOVA method enables the differentiation among geographical origins of olive oils. In particular, the percentage of linoleoyl acyl aided in discriminating olive oils from each other based on well-defined geographical region rather than province. Moreover, the use of ¹H DOSY instead of chromatography has shown trends in discriminating the origin of olive oil samples by minor constituent determination and clarification. Simple and less time consuming quantitative NMR in combination with a statistical approach are useful in mapping the origin of olive oils from different regions of Turkey and the Middle East. ¹H DOSY NMR will be helpful in determining the geographical origin of natural products by detecting the minor organic molecules that may exist in olive oil samples.

ACKNOWLEDGMENTSTOP

For reference, the author acquired ¹H NMR data on minor constituents such as squalene and tocopherol in a pure state at the Institute for Chemistry at Osnabrück University/Germany, and is grateful to the German Science Foundation (DFG) (grant number STE 1127/15-1) for the support of this summer research. The author is also grateful to Atilla Yardimci of the Method Research Company, Istanbul/Turkey for his valuable advice concerning ANOVA analysis.

REFERENCESTOP