International Journal of Analytical Chemistry
Volume 2014 (2014), Article ID 627038, 10 pages
http://dx.doi.org/10.1155/2014/627038

Research Article

The Development and Application of Novel IR and NMR-Based Model for the Evaluation of Carminative Effect of Artemisia judaica L. Essential Oil

Muhammed Alzweiri,¹ Ibrahim M. Alrawashdeh,² and Sanaa K. Bardaweel¹

¹Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, Amman 11942, Jordan
²Department of Biological Sciences, Faculty of Sciences, Al-Hussein Bin Talal University, Ma’an 20, Jordan

Received 5 September 2014; Revised 22 November 2014; Accepted 8 December 2014; Published 29 December 2014

Academic Editor: Thomas J. Schmidt

Copyright © 2014 Muhammed Alzweiri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Artemisia judaica L. is a medicinal plant that is traditionally used to relieve abdominal pains through its carminative activity. In this study, spectroscopic analysis was employed to investigate the carminative activity associated with A. judaica. Using infrared spectroscopy, the carminative activity was evaluated based on the first derivative of IR-characteristic stretching signal of CO₂. Our results indicate that A. judaica oil effectively reduced the response of CO₂ signal equivalent to thymol standard. Additionally, ¹H-NMR spectroscopy was utilized to assess surface activity of A. judaica crude oil through the reduction of interfacial tension in a D₂O/CDCl₃ system. Apparently, 10 mg of the oil was able to solubilize water in a chloroform layer up to 4.3% (w/w). In order to correlate the observed surface activity of the oil to its actual composition, GC-MS and GC-FID structural analysis were undertaken. The results revealed that the oil composition consists of oxygenated terpenes which might be responsible for the carminative effect. Furthermore, owing to its sensitivity, our model provides a fundamental basis for the pharmacological assessment of trace amounts of oils with high precision and accuracy.

1. Introduction

The large genus Artemisia L. (Fam. Asteraceae) encompasses distinctive medicinal plants which are known for their biological and chemical diversity [1, 2].

Artemisia species are found in many traditional preparations and are frequently used for the treatment of diseases such as malaria, hepatitis, cancer, inflammation, and infections by fungi, bacteria, and viruses [3]. Additionally, Artemisia species are commonly used for their antispasmodic, carminative, and anthelmintic properties [3–6].

Artemisia judaica is a perennial fragrant shrub that grows broadly in North African and Middle-Eastern countries. Distinctive ethnopharmacological utilization of A. judaica (wormwood) for the relief of abdominal pains has been reported in regions where A. judaica is inhabitant [7–10]. In addition, the isolated active ingredients from A. judaica demonstrated antibacterial, antifungal, and cytotoxic activities [1, 11–13]. A. judaica contains artemisinic acid, methyl wormwood, artemisinic alcohol, and other essential oils, particularly eucalyptol, artemisia ketone, camphor, caryophyllene, and piperitone [2, 14]. Interestingly, it has been suggested that the characteristic composition of its essential oil endorsed Artemisia species such as assorted biological activity [3–6].

Essential oils have been commonly employed for their antiseptic and medicinal properties. Furthermore, essential oils have been utilized for the relief of abdominal pains [15–17]. Few studies reported receptor-medicated mechanism for the spasmolytic effect of essential oils [18–21] while others speculated non-receptor-mediated mechanism [22–24]. H. G. Grigoleit and P. Grigoleit reported that glucuranated metabolites of menthol and their continuous enterohepatic circulation are responsible for calcium channel antagonism and consequently the muscular relaxation effect of menthol [25]. Additionally, disturbance of the membrane integrity in enterocytes, resulting from the surface activity of the oil, has been proposed as a mechanism underlying the muscular relaxation associated with various essential oils [24, 26, 27].

Owing to the complexity of essential oils’ composition and their prompt activity against abdominal pains, there is a strong belief that the activity of essential oils in treatment of abdominal pains is due to a non-receptor-mediated mechanism [28, 29].

Surface tension between water and gas bubbles is usually attributed to abdominal pains [30, 31]. Thus, the reduction of surface tension, caused by the surface activity of essential oils, has been suggested to relieve abdominal pains [30, 31]. The surface activity of the oil enhances coalescence of small bubbles and consequently their removal from the gut [32–34]. Evidently, pure thymol demonstrated remarkable activity against surface tension [22, 35]. Due to its ionisable phenolic group, the hydrophilic-hydrophobic balance of thymol, confers it the highest known surface activity among essential oils [23, 24].

Evaluation of the oil’s surface activity is usually measured by special apparatus that requires special attention and excessive handling skills, such as the apparatus developed by Harries et al. to measure the antifoaming activity of certain essential oils [23, 31]. Additionally, surface activity evaluation of oils through the measurement of critical micelle concentration and disturbance of phospholipid particles’ integrity were also reported [22, 24]. Poor precision, insufficient accuracy, and the requirement of relatively large amount of the essential oils are usually the major drawbacks associated with the reported methods [24]. Besides, the reported methods suit pure oil more than the crude oil extracts as they rely on numerical values of pure materials, such as molar absorptivity, surface pressure, and critical micelle concentration values [23, 24].

In this study, a novel model relying on sample-conservative spectroscopic methods, including infrared (IR) and nuclear magnetic resonance (NMR) [36–38], was used to evaluate the interfacial tension reduction and the antifoaming activities of A. judaica essential oil. In contrast to the previously reported models, our proposed nondestructive analysis requires diminutive amount of oil samples. Noticeably, both reproducibility and accuracy are distinguished advantages of our proposed IR and NMR-based model [39–41].

2. Materials and Methods

2.1. Chemical and Reagents

Deuterated water (D₂O) 99.9% and deuterated chloroform (CDCl₃) 99.8% containing 1% v/v trimethylsilane (TMS) were purchased from Sigma-Aldrich, USA. Methanol (analytical grade) was purchased from Loba Chemie, India. Thymol was used as positive control and purchased from Prolabo, UK, while paraffin oil was used as negative control and purchased from Sigma-Aldrich, USA. Hexane 95% GC grade was purchased from Tedia, USA.

2.2. IR, NMR, GC-MS, and GC-FID Instrumentations

IR analysis was undertaken by attenuated total reflectance-Fourier transformed-infrared spectrometer (ATR/FT-IR) with portable design from Bruker under the name of alpha ECD-ATR instrument.

¹H-NMR data were acquired on a Varian Oxford-300 NMR spectrometer operating at a proton resonance frequency of 300 MHz controlled by VnmrJ 2.2D software.

GC-MS was used for identification and quantification of essential oils. GC-MS analysis was performed on a ThermoQuest gas chromatograph coupled to mass spectrometer (QP2010) equipped with Rtx-5MS polar capillary column stationary phases. 1 μL of 0.1% oil solution (in n-hexane dried over anhydrous Na₂SO₄) was injected into a TRACE GC 2000 Series (ThermoQuest CE instruments, Austin, TX, USA) gas chromatography equipped with a split/splitless injector. Split ratios of 1 : 30 for diluted and 1 : 100 for undiluted oil samples were used. The column was an Rtx-5MS fused silica capillary column (30 m × 0.25 mm and 0.25 μm film thickness) consisting of cross bond (5% diphenyl and 95% dimethyl polysiloxane). Helium (He) was used as a carrier gas at a flow rate of 1.0 mL/min. The GC was interfaced with a GCQ plus (ThermoQuest, Finnigan) mass detector operating in the electron ionization (EI) mode (70 eV). The mass spectra were generally recorded over 40 to 650 amu full-scan mode that revealed the total ion current (TIC) chromatograms. A linear temperature program was adapted to separate the different oil components as follows: Initially, the column was maintained at 70°C for 1 min, ramped at 5°C min⁻¹ to 130°C, and maintained for 10 min; a second ramp was then applied at 8°C min⁻¹ to final temperature of 210°C which was held isothermally for 2 min. The temperatures of the injector base, transfer line, and ion source were maintained at 250, 250, and 200°C, respectively. The chemical identities of the separated components were determined by matching their recorded mass spectra with the data bank mass spectra (general purpose, terpene ThermoQuest and NIST libraries) provided by the instrument software and by comparing their calculated Kovats retention indices with literature values measured on columns with identical polarity.

GC-FID was also carried out to obtain complementary results of those obtained by GC-MS. GC-FID was performed on a ThermoQuest gas chromatograph coupled to FID (QP2010) equipped with HP-5 capillary column stationary phases. The temperature and splitting ratio were carried out with the same conditions mentioned in GC-MS analysis. Helium (He) was the carrier gas at a flow rate of 1 mL/min.

Identification of the essential oil constituents was accomplished relying on their retention indices on HP-5 column and by computerized matching of the acquired mass spectra with those recorded by Adams [42]. Also, the mass chart of each component matched with MS libraries including Mainlib, Wiley, and Replib. Furthermore, Kovats retention indices were used for identification of the essential oil composition [42].

2.3. Oil Extraction

Leaves of A. judaica were collected from plants before blooming during spring 2011 grown at Al-Mudawarah area, Ma’an governorate, Jordan. The collected material was identified by Professor Dawoud Al-Eisawi, Plant Taxonomist, Department of Biology, Faculty of Science, The University of Jordan. Voucher specimen (AJ-I 2011) was deposited at the Herbarium of the National Center for Agricultural Research and Extension in Jordan.

The oil of air-dried and finely ground leaves of A. judaica was obtained by hydrodistillation using a Clevenger-type apparatus. Distillation was performed using 100 g of dried plant material in 2.5 L distilled water for 3 h at the Pharmaceutical Sciences Department Lab, Pharmacy Faculty, The University of Jordan. Three replicates were carried out. The oil was obtained pure and clearly separated from water layer. It was dried over anhydrous sodium sulfate and stored in a dark glass bottle at 4°C until analysis. The yield of oil was based on the dried weight of sample.

2.4. Evaluation of Degassing Effect of A. judaica Oil on CO₂ Saturated Solution by FT/ATR-IR Analysis

Saturated solution of CO₂ prepared by passing CO₂ gas in distilled water was incubated at 0°C and then sonicated to remove the suspended bubbles of gas. Equal volumes (9 mL each) were used for blank, test, positive, and negative control solutions. A drop from CO₂ solution was added to the sample lens of attenuated total reflectance of IR spectrometer and considered as blank solution. The test solution was prepared by adding 1 mL of methanolic solution of A. judaica oil (10 mg/mL) to 9 mL of CO₂ solution. Negative control was prepared by adding 1 mL of methanolic solution of paraffin oil (10 mg/mL) to 9 mL of CO₂ solution whereas positive control was prepared by addition of 1 mL of methanolic solution of thymol (10 mg/mL) to 9 mL of CO₂ solution. IR spectrum and the corresponding first derivative were obtained from FT/ATR-IR instrument. First derivative of signal characteristic of asymmetric carbonyl stretching of CO₂ was measured and compared with negative and positive controls.

Validation of the FT/ATR-IR method has been fulfilled by studying linearity, accuracy, limit of detection (LOD), limit of quantification (LOQ), precision, selectivity, and robustness.

2.4.1. Linearity

Eight different concentrations of A. judaica oil and another set of eight solutions of thymol in the range of 0–2.0 mg/mL were prepared for linearity study and measured in triplicate by FT/ATR-IR system. Signal absorbance values were considered and then calibration curve was plotted.

2.4.2. Accuracy, LOQ, and LOD

Accuracy was evaluated by comparing the results of IR analysis with results of acid-base titration method carried out by titrating 10 mL of each solution prepared in linearity study against NaOH (0.01 N). Phenolphthalein was used as indicator. The least concentration of carbon dioxide solution treated with the oil and depicted linearity with the higher concentrations was considered as limit of quantification (LOQ). The exact quantity of carbon dioxide at limit of quantification was determined by the titration method described previously. Limit of detection (LOD) was considered as the least concentration below which IR was not able to differentiate between signal and noise and the response kept constant and independent of carbon dioxide concentration. The exact amount of carbon dioxide content at limit of detection was also determined by the titration method.

2.4.3. Precision

The precision study expresses degree of agreement among results when the method is applied similarly to multiple homologous samples. Inter- and intraday precisions were evaluated by calculating the percentage of relative standard deviation (%RSD). Six samples at a concentration of 0.5 mg/mL of A. judaica oil and another set of six samples containing 0.5 mg/mL of thymol were prepared to evaluate the precision of the method. Each solution was tested in triplicate.

2.4.4. Selectivity and Robustness

Selectivity of the method was evaluated by reading samples containing A. judaica oil and others containing thymol after substituting the saturated carbon dioxide solution with water free of carbon dioxide. On the other hand, robustness was evaluated by measuring the response of carbon dioxide signal of stock solution of carbon dioxide kept at 25°C. And then it was changed deliberately within a deviation of ±2°C to study the effect of a slight temperature variation on the carbon dioxide signal. After each IR scan of solutions, droplets were left for 30 min to study the effect of time on the carbon dioxide content.

2.5. Evaluation of Surface Activity of A. judaica Oil on D₂O/CDCl₃ Interface by ¹H-NMR Analysis

35 mL of deuterated water (D₂O contains 0.1% H₂O) was added to 0.6 mL deuterated chloroform (CDCl₃, 1% TMS) containing 10 mg of A. judaica oil. ¹H-NMR was scanned from the chloroform layer. Solubilized content of water in chloroform layer due to surface activity of the essential oil was measured by integration of H₂O signal at chemical shift of 4.8 ppm and TMS signal at zero points. The result was compared with blank solution prepared with the same manner without use of A. judaica oil. The obtained percentage of water in chloroform layer was compared with triplicate results of titration by Karl Fischer reagent using absolute methanol as a solvent.

3. Results and Discussion

3.1. Evaluation of Degassing Effect of A. judaica Oil on CO₂ Saturated Solution by FT/ATR-IR Analysis

Carbon dioxide is one of the major gas constituents generated by microflora in the gut lumen [43]. Therefore, the study of antifoaming activity of A. judaica oil against CO₂ bubble formation was undertaken. Carbon dioxide has a characteristic IR signal at 2350 cm⁻¹ resulting from asymmetric stretching of carbonyl groups of the molecule (Figure 1) [44]. This peak, predominately, appears in a region that either is usually clear of signals or contains weak peaks [45]. Although the contribution of atmospheric CO₂ is trivial relative to the sample CO₂, background spectrum was subtracted from each sample.

(a)

(b)

(c)

(d)

Figure 1: IR and its first derivative analysis for blank CO₂ solution (a), CO₂ solution treated with paraffin/methanol as negative control (b), CO₂ solution treated with A. judaica oil/methanol as tested solution (c), and CO₂ solution treated with thymol/methanol as positive control (d). A. judaica reduces the altitude of first derivative signal of CO₂ stretching showing almost the absorbance of equal amount of thymol.

Since baseline drift and interference with carbonyl stretching signal limit IR suitability for quantitative analysis, the first derivative of the spectra was employed. Mathematical derivatization minimizes the baseline drift and anomaly of the spectrum [46–48]. And also it enhances the selectivity of the analysis due to the improvement of the peak shape and resolution [46]. The absorbance of the first derivative signal, corresponding to carbonyl stretching, was attributed to CO₂ content in the solution. The blank sample depicted an absorbance of 0.22 absorbance units for the characteristic signal of CO₂ stretching (Figure 1(a)). Paraffin oil, which lacks hydrophilic-lipophilic balance and, consequently, depicts very weak antifoaming activity, was chosen as a negative control. However, it was necessary to add cosolvent such as methanol to dissolve paraffin oil in aqueous solution of CO₂. As shown in Figure 1(b), 50% reduction of the absorbance was observed. The observed reduction is equivalent to methanol standard rather than paraffin oil in the sample (data not shown). Interestingly, CO₂ content in the sample treated with A. judaica essential oil was dramatically reduced to less than 5% relative to the blank sample (Figure 1(c)), representing a strong antifoaming activity of the essential oil. The CO₂ content in oil-treated sample is quite low and almost identical to CO₂ content in a solution containing thymol standard (Figure 1(d)). Because of its phenolic group, which provides substantial balance between hydrophilicity and lipophilicity, thymol has a strong surface activity in comparison with other essential oils [23, 24].

The antifoaming activity of A. judaica is expected to be directly related to the coalescence of small bubbles of CO₂ gas. This should generate unstable large bubbles that are removed easily and quickly from the aqueous solution. The proposed mechanism is speculated to take place inside GI tract and is likely responsible for the carminative effect of A. judaica against abdominal flatulence.

The validation protocol of FT/ATR-IR method was carried out according to the procedure mentioned in Section 2.4. As depicted in Figure 2, there is a linear relationship between the concentration of A. judaica oil and the absorbance value of IR signal of carbon dioxide within the range of 0-1.0 mg/mL. The regression coefficient of the five samples having concentration values within the linear range exceeded 0.99. Additionally, thymol as a positive control almost behaved similar to A. judaica oil. The point at which the least response of carbon dioxide signal is linear with higher concentration of carbon dioxide solutions was considered as limit of quantification (LOQ). As observed from Figure 2, LOQ for both A. judaica oil and thymol was found for carbon dioxide solution containing 1 mg/mL of either A. judaica oil or thymol. Titration (mentioned in Section 2.4 of large volumes of these solutions) gave rise that the drop (0.05 mL) of solution contained 8 μg CO₂. Thus LOQ of carbon dioxide by IR method is 160 μg/mL. On the other hand, limit of detection (LOD) was considered as the least concentration below which IR was not able to differentiate between signal and noise. This occurred at a concentration of 1.3 mg/mL of either A. judaica oil or thymol. Titration method revealed that LOD was 50 μg/mL. Accuracy of IR method was tested by comparing the slope of CO₂ signal declination (Figure 2) with slope of linear curve representing consumed volumes of 0.01 N NaOH required to neutralize CO₂ solutions. As depicted in Figure 2, the slope of curve A is almost identical to curve B and is found to be around 65. This implied that the IR signal represents accurately the content of CO₂ gas in solutions. Precision was tested by adopting the relative standard deviations (RSD) of inter- and intraday variability which was found to be less than 5.0% for the samples mentioned in Section 2.4. Samples of A. judaica oil and others of thymol solutions which are free of CO₂ represented charts free of any signal at the wavenumber of CO₂ stretching. This emphasizes the selectivity of the method for carbon dioxide. Moreover, robustness of the method was tested by studying temperature effect with a deviation of ±2°C from the room temperature and time effect for 30 min which were studied according to the procedure in Section 2.4. Deviations of results in both cases were below 5% of the original values of signal absorbances.

(a)

(b)

Figure 2: (a) Linearity study for the effect of A. judaica oil and thymol on the response of IR carbonyl stretching of CO₂; samples of concentrations within the range of 0-1.0 mg/mL showed a linear behavior (). (b) Linearity study of CO₂ solution treated with several concentrations of A. judaica oil and thymol versus the consumed amount of NaOH needed to neutralize them (). The close similarity between slopes of curves (a) and (b) implies the accuracy of IR method in quantifying CO₂ content.

3.2. Evaluation of Surface Activity of A. judaica Essential Oil on D₂O/CDCl₃ Interface by ¹H-NMR Analysis

The antifoaming activity of A. judaica essential oil can be probably linked to its surface activity. To test the ability of A. judaica essential oil to reduce the interfacial tension between water and chloroform phases, ¹H-NMR was utilized as a quantitative tool of analysis. According to our findings, while a peak corresponding to water was absent in the NMR spectrum of CDCl₃ layer, as shown in Figure 3(a), a characteristic peak of water resonance at 4.8 ppm after the addition of A. judaica oil was detected (Figure 3(b)). The solubilized water content in chloroform is a direct proof of the oil’s surface activity, which reduces the interfacial tension between the aqueous and oil layers. Therefore, we hypothesize that the antifoaming character of the oil, which was observed by IR, might be directly related to the surface activity demonstrated by NMR. Based on (1), the percentage of water solubilized in chloroform layer by the oil was determined to be approximately 4%. This result was also confirmed by titration with Karl Fischer reagent which provided a close result to NMR model. Triplicate samples contained water percentage of %:

where is the percentage of water in chloroform layer, is integration of H₂O peak at 4.8 ppm, is integration of TMS peak at zero points, is number of hydrogen atoms in the molecule of TMS (12), is the number of hydrogen atoms in the molecule of H₂O (2), is concentration of TMS in chloroform (1% v/v), is density of TMS (0.648 g/mL), is molecular weight of H₂O (18 g/mole), is molecular weight of TMS (88 g/mole), is purity factor of D₂O (99.9%), and is density of chloroform (1.483 g/mL).

(a)

(b)

Figure 3: ¹H-NMR spectra of CDCl₃ layer mixed with few drops of D₂O (a) and the same sample treated with 10 mg of A. judaica oil (b). A. judaica oil was able to solubilize water in chloroform layer due its surface activity.

3.3. Composition of A. judaica Essential Oil by Using GC-MS and GC-FID

The essential oil extracted from A. judaica possessed a strong greenish color with aromatic smell. The identified compounds are listed in Table 1. The essential oil was obtained in a yield of 0.50% on a dry weight basis. According to GC-MS and GC-FID analysis, the isolated oil contains considerable content of octenyl acetate (2E) (26.6%), p-cymen-8-ol (26.6%), and p-menth-3-en-8-ol (21.6%) (Table 1). The second major constituents were pentylcyclohexa-1,3-diene (6.6%), verbanyl acetate (4.4%), isophorone (3.5%), and artemisia ketone (3.5%). The remaining constituents were found in trace amounts less than 0.1%. Certain constituents such as 1,8-cineole, α-thujone, camphor, thymol, lavandulol, and santolina triene were reported in previous studies [49], while no evident existence of these components appeared in our sample. Structural analysis revealed that the oil comprises oxygenated terpenes including alcoholic, ketonic, and esteric compounds. Octenyl acetate (26.6%) and p-menth-3-en-8-ol (21.6%) were the major esteric and alcoholic constituents, respectively. These oxygenated compounds possess hydrophilic oxygenated part and hydrophobic terpene part. This provides the molecules with an optimum surface activity against interfacial tension [35, 50, 51]. According to our results, we propose that oxygenated terpenes are responsible for the surface activity of A. judaica oil and, consequently, its carminative effect.

Table 1: Chemical composition of A. judaica essential oil from Al-Mudawarah area in Jordan. The oil contains several oxygenated terpenes possessing activity against interfacial tension.

Chemical compound
Actual KI
Theoretical KI
% of content
Chemical compound
Actual KI
Theoretical KI
% of content

-Citronellene
945
950
0.8
Octenyl acetate (2E)
1208
1213
26.6

Linalool oxide (dehydro,trans)
996
993
<0.1
Carveol (cis)
1228
1229
0.9

Limonene
1028
1029
<0.1
Carvenone
1262
1258
<0.1

-Ocimene (cis)
1034
1039
<0.1
Limonene-10-ol
1287
1289
<0.1

Artemisia ketone
1058
1062
3.5
-Elsholtzia ketone (dehydro)
1302
1302
<0.1

Artemisia alcohol
1071
1083
<0.1
Cryptone (4-hydroxy)
1318
1315
<0.1

m-Cymenene
1091
1085
<0.1
Verbanyl acetate
1325
1321
4.4

Phenylpropanal (2)
1104
1102
<0.1
Piperityl acetate (trans)
1345
1346
<0.1

Maltol
1109
1108
<0.1
Ethyl cinnamate (Z)
1380
1377
3.3

-Thujone
1121
1114
<0.1
-Barbatene
1412
1407
<0.1

isophorone
1127
1121
3.5
Decenal (4E), diethyl acetal
1476
1475
0.3

p-Menth-3-en-8-ol
1153
1150
21.6
Dihydro-β-agarofuran
1506
1503
<0.1

Pentyl cyclohexa-1,3-diene
1163
1160
6.6
Bazzanene
1520
1520
0.4

p-Cymen-8-ol
1179
1180
26.6
Laciniata furanone
1532
1532
<0.1

2-Allyl phenol
1194
1193
<0.1
-Copaen-4--ol
1583
1590
1.6

Verbenone
1201
1205
2.0

Interestingly, comparing the chromatogram obtained from GC-MS (Figure 4) with the one obtained from GC-FID (Figure 5), it was noticed that better resolution was attained by GC-FID. For example, the peak corresponding to the Kovats index of p-cymen-8-ol (Figure 4) depicted three relevant peaks on the chromatogram of GC-FID (Figure 5). This might be due to the difference in dead volume of the detectors. Whereas FID has a compacted geometry and consequently a limited dead volume, MS detector has a relatively large dead volume due to its ionizer, analyser, and interface spaces [36]. Hence, the chromatographic separation of GC-MS might be partially reduced due to the relatively large dead volume of MS detector.

Figure 4: GC-MS chromatogram of A. judaica oil. () peak appeared as single peak even in diluted samples.

(a)

(b)

Figure 5: GC-FID chromatogram of A. judaica oil. () peaks appeared as three peaks depicting the ability of FID detector in conserving the chromatographic separation in comparison with MS detector which possesses relatively higher dead volume.

The analysis of GC-FID confirmed the presence of related isomers as shown in Figure 5. Further work was undertaken to identify the detected subpeaks according to the method described by Adams for the identification of essential oil components using GC and MS [42]. Characteristic fragments of p-cymen-8-ol isomers including 43, 65, 91, 135, and 150 m/z were identified for assigned chromatographic peaks. Thus, the assigned peaks (Figure 5) are speculated to be p-cymenol isomers including p-cymen-8-ol, p-cymen-3-ol, and p-cymen-5-ol. To the best of our knowledge, this is the first report in literature providing an evidence for the presence of p-cymen-3-ol and p-cymen-5-ol in A. judaica. However, further analysis using standard of p-cymenol isomers should confirm the presence of them.

Conclusively, FT/ATR-IR method was found valid in quantifying the content of carbon dioxide in the sample through applying first derivatization to the carbonyl signal. The intensity of the signal and the steady baseline are factors responsible for the suitability of the method for quantitative analysis. This method showed that A. judaica oil effectively reduced the response of CO₂ signal equivalent to thymol standard. The oil ability in reducing carbon dioxide content is related to its activity against interfacial tension which was studied by ¹H-NMR spectroscopy in a D₂O/CDCl₃ system. This can explain the carminative activity of A. judaica oil which is expected to remove gases in the stomach body to stomach fundus where gases are collected and then removed externally. A. judaica oil might also reduce formation of gases in intestines through relaxation of intestinal muscles. GC-MS and GC-FID structural analysis revealed that A. judaica oil consists of oxygenated terpenes having activity against interfacial tension.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgment

The authors wish to thank The University of Jordan represented by the Deanship of Academic Research for supporting and funding the Project of 1558.

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