Xuan-Feng
Yue
*abc,
Yan-Ni
Zhang
c,
Jin
Zhang
ab and
Zhi-Qi
Zhang
*ab
aCollege of Chemistry and Materials Science, Shaanxi Normal University, Xi'an, 710062, China. E-mail: xfyue@snnu.edu.cn; zqzhang@snnu.edu.cn; Fax: +86-29-85307774; Tel: +86-29-85308442
bKey Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Shaanxi Normal University, Xi'an, 710062, China
cKey Laboratory of Ministry of Education for Medicinal Plant Resources and Natural Pharmaceutical Chemistry, Xi'an, 710062, China
First published on 30th April 2010
Aconitum taipeicum Hand.-Mazz., widely used in traditional Chinese pharmaceuticals, has a dual effect on human health. Its alcohol extract is clinically controversial partly because its chemical components remain to be elucidated. In this paper, we report on an elaborately developed GC-MS method for the determination of free fatty acids (FFAs) in the alcohol extract of Aconitum taipeicum Hand.-Mazz., based on alcohol extraction and esterification with boron trifluoride-methanol. Six types of long chain FFAs were identified in the profile analysis, including two essential fatty acids to the human body. All the major six FFAs identified in the alcohol extract were quantified with nonadecanoic acid as an internal standard. The results showed that the alcohol extract was abundant in three types of FFAs, with unsaturated FFAs amounting to 67.42% of the total FFA content. Linoleic acid (46.24%, 13.89 ± 0.36 mg g−1) was the predominant fatty acid, followed by palmitic acid and oleic acid. These results indicate that the FFAs in the extract of Aconitum taipeicum Hand.-Mazz. contribute little to its adverse health effect.
Fatty acids have been attracting increased interest in food nutrition evaluation,5–9 diagnosis of certain diseases and in pharmacology10 due to their biological and environmental importance.11,12 Some types of long-chain fatty acids (FAs) have proved beneficial for human health. Unsaturated fatty acids, including monounsaturated fatty acids (MUFAs) and polyunsaturated fatty acids (PUFAs), have been found beneficial against inflammation, in reducing the risks of heart disease and enhancing the immune system.13 The intake of MUFAs lowers the risk of developing atherosclerosis and cholesterol accumulation in the blood,14,15 and PUFAs can improve the body's immunity16,17 and are beneficial in reducing coronary artery disease.18 However, some other long-chain fatty acids such as trans fatty acids (TFAs) are thought to have an increased risk of cardiovascular disease.19–21 FAs have also been reported to influence human immune function in a dose-dependent manner.13 Therefore, there is a need to evaluate the types of FAs, especially FFAs, as well as their contents in Aconitum taipeicum Hand.-Mazz., which may be helpful in elucidating the heath effects of this plant.
Many approaches have been developed for the determination of FFAs, including spectrophotometry, enzymic methods, high performance liquid chromatography (HPLC)22–24 and gas chromatography (GC).25 GC-MS is now the primary choice for fatty acids profile analysis if available, due to its speed, high resolution and sensitivity.26,27
The alcohol extract of Aconitum taipeicum Hand.-Mazz. has usually been used in Chinese traditional medicine. Described here is a cost-efficient GC-MS method for the profile analysis of FFAs in the alcohol extract of Aconitum taipeicum Hand.-Mazz., where the yields of two extraction methods were compared before the derivatization of FFAs in the extract.
All water used was obtained from a purification system (Millipore, USA). All chemicals used were of analytical reagent grade or higher unless otherwise specified.
The Chinese traditional medicine Aconitum taipeicum Hand.-Mazz. (Fig.1) was collected in July 2007 from Mountain Taibai in the Shaanxi Province of China. The plant was authenticated and the voucher specimen has been deposited in Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, China. The samples were dried in a shady ventilated area.
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| Fig. 1 The picture of Aconitum taipeicum Hand.-Mazz. | ||
:
1) at 15 °C for 12 h with a stirring speed of 830 rpm. The immersion extraction repeated another two times using fresh solvent each time. Anhydrous sodium sulfate was added to a total 300 mL of the resulting extraction solution to remove any possible moisture; and the solvent was removed in a rotary vacuum evaporator at 50 °C. Finally, the alcohol extract obtained was estimated by a gravimetric method.
All chromatographic measurements were performed with a GC-MS system on a QP2010 gas chromatograph (Japan, Shimadzu), which was fitted with a split injector for capillary columns and a quadrupole mass spectrometer with an electron impact (EI) mode of 70 eV as the ionization source. The operating GC-MS conditions were as follows: Helium (purity 99.999%) was used as the carrier gas with a flow rate of 1.20 mL min−1. 2 μL of solution was injected into an RTX-5MS fused-silica capillary column (30 m length, 0.25 mm diameter, 0.25 μm film thickness, coated with 5% diphenyl and 95% dimethylpolysiloxane) with a split ratio of 1
:
5, and injector port temperature was set at 250 °C. The column temperature was programmed to increase from 183 °C to 189 °C at 0.2 °C min−1 and then kept for 2 min. The temperature of the ion source and interface were 200 °C and 250 °C, respectively. Solvent cut time was set at 3.5 min. EI mass spectra were recorded in full scan mode with monitoring mass ranging from 20 to 800 amu.
The GC-MS Labsolution software package was used for regression analysis (linear model) and statistical analysis of the data.
A recovery test was carried out to investigate the accuracy of the quantification method by spiking a given amount of each fatty acid into the extract.
Identification of the fatty acids was carried out by comparing their fragmentation pattern in EI mass spectra with those in the Mass Spectral database (NIST05 and NIST05s). They were further confirmed by comparing their retention times with those of authentic compounds available in our laboratory. Relative percentages of individual FAMEs were calculated based on GC peak areas without response factors correction. Absolute contents were obtained from the total ion current (Tic) peak areas and expressed as the mass (mg) per 1.00 g extract.
In immersion extraction, the sample was consecutively extracted three times as described above, each time leaving a fraction of the dry extract (0.05 g) to investigate the extent of extraction completeness, and this fraction was dissolved in 1.00 mL of ether. After excluding the insoluble residue by filtration, the filtrate was stored at 4 °C pending GC-MS analysis. In the refluxing method, 40 g of Aconitum taipeicum Hand.-Mazz. powder was refluxed with 100 mL of the same extraction solvent at 74 °C for 6 h, and the extraction was also carried out three times, each time leaving a fraction of the dry extract (0.05 g), the fractions were also used for the investigation of extraction efficiency.
Some GC-MS conditions were different from those in the quantification section on the split ratio and column temperature program, the split ratio was 1
:
20, and the column temperature was programmed to increase from 80 °C to 250 °C at 5 °C min−1 and then kept for 2 min.
Tic chromatograms of GC-MS for both immersion and refluxing methods are shown in Fig. 2. No appreciable difference in the composition was observed between the two methods with the exception of total extraction yields. The total extracts obtained by the immersion and refluxing methods were 5.35 g and 5.08 g, respectively. Based on the main Tic peak areas, the percentages of the fraction obtained each time are listed in Table 1. The results suggested that the immersion method with a three-time extraction was a better choice.
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| Fig. 2 Tic chromatograms of GC-MS for both immersion and refluxing methods. | ||
| Method | Extraction order | ||
|---|---|---|---|
| First time | Second time | Third time | |
| Immersion | 92% | 7.0% | 1.0% |
| Fluxing | 93% | 6.0% | 1.0% |
The effect of the amount of derivatization reagent BF3-CH3OH (ranging from 1 to 10 mL) and reaction time (ranging from 5 to 30 min) were investigated. The results showed that the best sensitivity for determination was obtained when 3.0 mL of BF3-CH3OH and a derivatization time of 10 min were chosen. The effect of the time on determining some FFAs is shown in Fig. 3.
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| Fig. 3 The effect of the time on derivatisation (○ palmitic acid, □ linoleic acid, △ oleic acid, × linolenic acid). | ||
The quantification method for the six main fatty acids identified was developed with nonadecanoic acid (C19:0) as the internal standard (IS), a typical chromatogram of the mixed standards is shown in Fig. 4. A regression equation was obtained by plotting the area ratio Y (analyte to IS) versus the concentration ratio X (analyte to IS).
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| Fig. 4 The Tic chromatogram of standards 1, palmitoleic acid methyl ester; 2, palmitic acid methyl ester; 3, linoleic acid methyl ester; 4, oleic acid methyl ester; 5, linolenic acid methyl ester; 6, stearic acid methyl ester; 7, nonadecanoic acid methyl ester (IS). | ||
The limit of detection (LOD) for each acid was expressed as the amount of analyte which gave a signal of 3 times the standard deviation of the blank signal, the LODs ranged from 0.40 to 0.76 ng. Repeatability of the method was calculated through six reduplicate analyses of the analyte and expressed as relative standard deviations (RSD). RSDs for all fatty acids were less than 5%, and acceptable recovery results for the extract of Aconitum taipeicum Hand.-Mazz. were obtained, which were between 96% and 104%. All the features of the quantification method for individual fatty acids are shown in Table 2.
| Fatty acid | Regression equation | Detection limit/ng | Regression coefficient | Linear range/ng | Repeatability RSD(%) | Recovery (%) |
|---|---|---|---|---|---|---|
16 : 1 |
y = 2.019x + 0.015 | 0.53 | 0.998 | 1.6–472 | 2.1 | 104 |
16 : 0 |
y = 1.399x + 0.028 | 0.76 | 0.998 | 2.3–682 | 1.8 | 99 |
18 : 2 |
y = 2.065x − 0.018 | 0.51 | 0.998 | 1.5–462 | 2.3 | 101 |
18 : 1 |
y = 1.855x − 0.021 | 0.57 | 0.998 | 1.7–514 | 3.5 | 97 |
18 : 3 |
y = 2.652x − 0.016 | 0.40 | 0.997 | 1.2–360 | 3.2 | 96 |
18 : 0 |
y = 1.575x + 0.026 | 0.67 | 0.999 | 2.0–606 | 2.6 | 102 |
| Fatty acids | BF3-CH3OH method | KOH-CH3OH method |
|---|---|---|
| a Mean of six determinations, expressed in arbitrary units. | ||
| Palmitoleic acid | 1.24 × 107 | 1.29 × 107 |
| Palmitic acid | 0.86 × 107 | 0.82 × 107 |
| Linoleic acid | 1.27 × 107 | 1.32 × 107 |
| Oleic acid | 1.14 × 107 | 1.18 × 107 |
| Linolenic acid | 1.63 × 107 | 1.69 × 107 |
| Stearic acid | 0.97 × 107 | 0.92 × 107 |
| Fatty acid | Relative content (%) | Absolute content/mg g−1a |
|---|---|---|
| a Mean of six determinations, expressed as average ± SD. | ||
| Palmitoleic acid | 2.38 | 0.73 ± 0.02 |
| Palmitic acid | 28.24 | 12.47 ± 0.32 |
| Linoleic acid | 46.24 | 13.89 ± 0.36 |
| Oleic acid | 15.93 | 5.34 ± 0.12 |
| Linolenic acid | 2.87 | 0.67 ± 0.02 |
| Stearic acid | 4.35 | 1.67 ± 0.04 |
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| Fig. 5 Tic chromatogram of sample. The numbers on the peaks stand for the same as in Fig. 4. | ||
| This journal is © The Royal Society of Chemistry 2010 |