American Journal of Analytical Chemistry
Vol. 4  No. 2 (2013) , Article ID: 28197 , 7 pages DOI:10.4236/ajac.2013.42014

Development of a Performant Method for Glucocapparin Determination in Boscia senegalensis Lam Ex. Poir.: A Study of the Variability

Momar Talla Gueye1,2,3*, Dogo Seck4, Abdoulaye Diallo1, Danny Trisman2, Christophe Fischer3, Jean-Paul Barthelemy3, Jean-Paul Wathelet2, Georges Lognay3

1Institute of Food Technology (ITA), Hann-Dakar, Senegal

2University of Liege, Gembloux Agro-Bio Tech, Unit of General and Organic Chemistry, Gembloux, Belgique

3Gembloux Agro-Bio Tech, Unit Analysis, Quality, Risks—Laboratory of Analytical Chemistry, University of Liege, Gembloux, Belgium

4Regional Centre for Research in Ecotoxicology and Environmental Safety (CERES/Locustox), Dakar, Senegal

Email: *gueyemt@gmail.com

Received December 12, 2012; revised January 12, 2013; accepted January 18, 2013

Keywords: Boscia Senegalensis; Validation Method; Glucocapparin; Monitoring; Senegal

ABSTRACT

This study describes a glucocapparin determination method. Based on rapeseed determination of glucosinolate (GSL), the equation of the average straight regression line is Y = 100.42X − 0.03 (R2 = 0.9998). Enzymatic hydrolysis of glucocapparin extracted from leaves and fruits of B. senegalensis, analyzed by SPME-GC-MS confirmed the presence of methylisothiocyanate as the main hydrolysis glucocapparin product. Monitoring glucocapparin contents in B. senegalensis leaves and fruits collected in 4 localities in Senegal showed differences between organs according localities and periods of harvest. Glucocapparin content was very high in dry season particularly in January and the lowest rates were recorded during the rainy period between August and November.

1. Introduction

The glucosinolates (GSLs) are particularly abundant sulphur-containing compounds in the families of the Order Capparales - Brassicaceae, Tovariaceae, Resedaceae, Capparaceae and Moringaceae [1]. At least, 120 GSLs were identified in sixteen angiosperm families including a large number of edible species. The type of major GSL present varies largely between different plant species and the organ considered [2]. GSLs are associated in plants with enzymes called myrosinases (thioglucoside glucohydrolase, EC.3.2.3.1). Their hydrolysis into D-glucose and a variety of breakdown products is responsible for the pungent bitter taste of many cruciferous and spice plants. As a result of mechanical wound or pathogen attack, the GSLs and hydrolyzing enzymes come into contact and produce a number of hydrolytic products, in situ [3]. According to the substrate and the reaction conditions, the secondary products are mainly isothiocyanates, oxazolidines thiones, thiocyanates, nitriles and glucose (Figure 1).

Many properties of GSLs and their hydrolysis products are well known. The allylisothiocyanates are used as conservatives in food industry. Although they do not neutralize the free radicals before they can harm cells, as antioxidants and carotenoids would do, GSLs and their hydrolysis products are considered as indirect antioxidants by modulating the activity of xenobiotic metabolizing enzymes [3]. They have a protective effect by inhibiting the proliferation of cancer cells [4]. The hydrolytic products of alkyl and aryl GSL are cytotoxic to Salmonella thyphimurium (Tiedink et al., 1991 cited by [3]. Aurinia sinuate showed a powerful antimicrobial effect on Gram-positive and Gram-negative bacteria and fungi probably by the GSL degradation products such as isothiocyanates and nitriles taking into account their importance in the volatile products [5]. Many other works highlighted the biocide activity of GSL hydrolytic products. Given their occurrence, the use as substitutes to pesticides in seed and stored product treatments is desired in IPM. In this fact, the Capparaceae Boscia senegalensis was successfully tested in cowpea storage and peanut [6-8]. Its efficacy is due to the occurrence of glucocapparin in its organs. Indeed methylisothiocyanate (MITC) is released by hydrolysis of glucocapparin and

Figure 1. Myrosinase degradation pattern of glucosinolate.

responsible for the insecticidal activity on the bruchids Callosobruchus maculatus and C. serratus. Glucocapparin was identified in leaves of Cleome spinosa and C. chelidonii [9,10]. However, glucocapparin is less documented than other glucosinolates, undoubtedly due to the lack of commercial interest in it. It has been reported that in Western Africa, B. senegalensis holds a considerable nutritive value. The fresh and immature seeds are used like lentils after a process of cooking and complex scrubbing. In Senegal, these preparations are sold in the markets. Dried, they are transformed into flour and prepared into a type of couscous which is often used during the hardest scarth. A terrible year of dryness (1958) was baptized “the year of Boscia”, because it was with this species and its seeds or “peas” that many people survived [11].

Due to the fact that specific biological effects of different glucosinolates vary considerably, it is appropriate to develop sensitive and reliable method for efficient identification and quantification for the particular glucosinolate under investigation [12].

The object of this work is to develop a reliable and effective method to analyze glucocapparin in leaves and fruits of B. senegalensis and to analyze the effect of its localization on main secondary metabolite concentration. Therefore, we adapted the standard ISO 9167-1 method [13] described to analyze the glucosinolates in rapeseeds (Brassica napus). After validation of the analytical method, leaves and fruits of B. senegalensis from four localities in Senegal and different seasons are monitored in order to evaluate the variability of glucocapparin. In addition, an identification of the glucocapparin breakdown products is carried out by gas chromatography coupled with the mass spectrometry.

2. Experimental

2.1. Plant Material

Leaves and fruits of B. senegalensis were collected in four localities of Senegal: Dakar (1442'00"N, 1728'00"W), Thies (1656'W, 1448'N), Louga (1542'00"N, 1612'00"W) and Richard Toll (1628'00"N, 1541'00"W) between April 2010 and November 2011. Samples were collected from plants with the ripest fruits. Different phenological states leaves were collected at various levels of the plants. The plant identification was done at University of Dakar (IFAN) in the botanical section, maintaining the Integrity of the Specifications.

2.2. Preparation of Samples

In the laboratory, samples were dried at ambient temperature (25˚C ± 5˚C) to avoid the premature attack of the myrosinase. For the GSLs extraction, a fine crushing with crusher IKA ®A11basic was carried out.

2.3. Determination of Glucocapparin Content

2.3.1. Preparation of Sulfatase and of Sinigrine Solution

Sulfatase: 3 ml of water and 2 ml of ethanol were added to 75 mg sulfatase of Helix Pomatia (Sigma EC3161). The tube was placed in a vortex for 3 min before being centrifuged at 3000 rpm for 10 minutes. The deposit was discarded and 8 ml of ethanol was added to the supernatant. This mixture was agitated again with a vortex machine for 45 minutes after which the supernatant was collected. A last round of centrifugation at 3000 rpm was done after which the residue was transferred in 5 ml of distilled water.

Sinigrine: Sinigrine was taken as internal standard. A solution (20 µmol/ml) was prepared from the pure product of Sigma Aldrich (Ref.: 51647) which was dissolved in methanol/water 70:30 v/v solution.

2.3.2. Glucocapparin Extraction

50 mg of powdered B. senegalensis dry leaves or fruits were placed in 12 ml glass tubes. In a water-bath at 74˚C ± 1˚C, it was added in the test tubes (10 ml) 4.5 ml of a mixture methanol/water (70/30) beforehand heated to boiling then 1 ml of sinigrine 20 mM. 4.5 ml of the hot solvent mixture were added again in the glass. The solution is agitated during 15 min by means of a magnet. The whole was then centrifuged at 3500 rpm during 10 min. The supernatant was recovered thereafter.

2.3.3. Desulfatation and Purification of Extracted Glucocapparin

30 ± 5 mg of DEAE Séphadex A-25 are placed in a minicolonne (1 ml syringe). The column is washed with distilled water (2 fold 1 ml). pH is adjusted by elution of an acetate buffer (pH 5.8, 0.5 M, 2 ml). It is followed by a washing to distilled water (3 ml). 1 ml of B. senegalensis rough extract was introduced to the column. 1 ml (2 fold) of acetate buffer (pH 5.8, 0.0025 M) are eluded then 150 µl of sulfatase were added to column in order to form the desulfocapparin. After 15 hours, desulfocapparin are eluted by 4 × 0.5 ml of distilled water.

2.3.4. Measurement of Desulfoglucocapparin by HPLC

Desulfoglucocapparin are separated and quantified by HPLC (Agilent 1100 coupled to a DAD detector). The column was a VARIAN (INERTSIL 3 ODS-3, length: 100 mm, diameter: 3 mm, diameter of the particles: 3 µm). Eluant is composed of a mixture of acetonitrile and water (0 min: water 98.1%, 3 to 33 min: gradient from 98.1% to 80% of water, 33 to 45 min: gradient from 80% to water 98.1%). The mobile phase flow was of 0.5 ml/min and 20 µl of solutions were injected. The detector was performed at 229 nm and the temperature of the column was maintained at 30˚C.

By convention, and in respect to the standard ISO [13], glucocapparin is quantified in sinigrine equivalent according to the ratio areas of chromatographic peaks.

2.3.5. Identification of Glucocapparin Breakdown Products by GC-MS

Glucocapparin breakdown products and others GSLs were identified by gas chromatography (Agilent HP-6890 CG) coupled to a mass spectrometer (Agilent 5973 N). The spectral library was Wiley 275 L. 50 mg of crushed fruits/ leaves were introduced into a 10 ml vial with a septum. 250 µl of water and 5 mg of myrosinase (Thioglucosidase from Sinapis alba, Sigma) were added to facilitate hydrolysis. The flask was placed at 25˚C during two hours. The flask was placed at 25˚C during two hours. The volatile derivatives were sampled by SPME (Carboxen PDMS 75 µm fiber Ref 57344Supelco). GC-MS was realized on a HP-5MS ((5%-phenylmethyl)-siloxane, Agilent) column (length 30 m; diameter 250 µm; df = 0.25 µm. The oven temperature program was initiated at 40˚C, held for 5 min then raised first at 5˚C/min to 230˚C, raised in a second ramp at 30˚C/min to 280˚C with a final hold at this temperature for 5 min. The carrier gas is helium (pressure: 49.9 KPa, flow: 1 mL/min) and the injector split/splitless (in splitless mode) is maintained at 250˚C. The source of the mass spectrometer was fixed at a temperature of 230˚C and the scanned mass range was 50 to 350.

2.4. Validation of the Glucocapparin Quantification Method

The procedure of validation is in conformity with the Quality System of Good Laboratory Practice (Monographs of OECD). Glucocapparin not being currently available in the trade, 30 g B. senegalensis leaves collected in April 2011 at Richard Toll are crushed (crushing IKA) and introduced into 100ml methanol. After filtration, the supernatant were extracted with hexane before being evaporated at rotavapor. The liquid residue is then freeze-dried during 48 hours to remove any methanol and water trace. The powder thus obtained is redissolved in 100 ml methanol. Glucocapparin was thereafter defeated and purified on a Sephadex column (cf. 2.3.3) and constituted the desulfoglucocapparin basis solution. For 30 g B. senegalensis leaves, it was obtained 1.8 g of defeated powder. Desulfoglucocapparin content of this powder measured by HPLC (cf. 2.3.4.) was 198.23 µmol/g.

The required solutions to the linearity study are prepared by taking aliquots of the basis defeated solution added to a constant volume of 1ml of defeated sinigrine solution prepared in parallel and according to the same method.

The linearity was established by a variance statistical test based on the 3 lines of calibration resulting from the same solution. The linearity is accepted if the value criticizes F corresponding to a degree of confidence of 0.95 with 4 and 12 degrees of freedom is lower than value 3.26 (Table of distribution F of Snedecor). If the value of F is higher than 3.26, the linearity can be accepted if the two following criteria are observed:

• Determination coefficient R2 is higher than 0.996;

• The accuracy of one 4th series of calibration solutions shows an error lower or equal to 10% compared to the calculated straight regression line (excluded with the LOQ ≤ 15%).

The limits of quantification (LOQ) and detection (LOD) were evaluated by the measurement of the background noise of three analyses of the blanco.

LOQ = 5 × (background noise) + Standard deviation.

LOD = 3 × (background noise) + Standard deviation.

2.5. Analyze Statistical for the Follow-Up of the Contents of Glucocapparin

ANOVA (general linear Model) was applied to the data which were compared thereafter by the test of Tukey with P < 0.05 on Minitab 16.0.

3. Results and Discussion

3.1. Validation

Figure 2 represents the study of linearity obtained after glucocapparin desulfatation and five dilutions from a standard solution at 2.6 µmol/l. Linearity was determined using an analysis of variance based on tree replicates of each concentration. The non-linearity factor was compared with Snedecor distributions table (P = 0.95) with k1 = 4 (6 − 2), k2 = 12 (18 − 6). In these conditions, nonlinearity value was 3.26. The study of the linearity gave a factor F of 19.72. Equation of the average straight regression line was Y = 100.42X − 0.03 (R2 = 0.9998). The criterion F of Snedecor was not observed due to an exceptional repeatability between measurements. Linearity can however be accepted. Indeed, accuracy calculated through a 4th series of injections (Y’ = 98.96X + 0.55; R2 = 0.9993) was 99.9% ± 4.5%. This result fulfilled the requirements of our GLP validation procedures. LOQ and LOD estimated were respectively 0.72 and 0.44 µmol/g. These results confirmed the adaptation of the method to measure glucocapparin accurately. LOD and LOQ measured were in agreement with those reported in other studies [12,14,15].

Figure 2. HPLC analysis of desulfoglucocapparin—Determination of linearity. Calibration curves (Y); accuracy calculated through 4th series of analysis (Y’).

3.2. Identification of GSLs and Their Breakdown Products

The desulfated glucocapparin was identified by HPLC according to its retention time (3.16 min) (injection of a purified solution) and UV spectrum. Identification was performed by analysis of main glucocapparin breakdown product standard (MITC) from Acros 15,751,000 and finally by comparison with Seck et al. (1996) results [6]. No other desulfoglucosinolate appeared on HPLC chromatograms.

After enzymatic hydrolysis (myrosinase) of B. senegalensis leaves and fruits, SPME-GC-MS analysis of the volatiles obtained confirmed the occurrence of methylisothiocyanate, the main hydrolysis glucocapparin product, with retention time at 4.32 min; m/z (molecular ion and base peak) = 73; other mass fragments m/z = 58 (5.8%) and m/z = 45 (20%). Three other minor ITC derived from glucosinolates in traces and not detected by HPLC were also identified. They correspond to: Ethylisothiocyanate, isopropylisothiocyanate and 2-butylisothiocyanate whose probable origins were respectively glucolepidiine, glucoputranjivine and glucocochlearine. However, acetonetrile, another glucocapparin breakdown product has not been identified. Besides ITCs, trans-2-hexenal (green leave volatile compound from lipids metabolism) has also been systematically detected with retention time at 5.06 min (m/z = 98, molecular ion). The MS data of all volatile compounds were compared with those from the Wiley 275 L library to corroborate the identifications.

3.3. Monitoring Glucocapparin Contents in B. Senegalensis Leaves and Fruits Collected in 4 Localities

Based on ANOVA results, it was found out that glucocapparin content of organs was significantly different between locations (F (leaves) = 13.08; ddl = 3; P < 0.001); (F (fruits) = 11.54; ddl = 3; P < 0.001) and sampling dates (F (leaves) = 26.34; F (fruits) = 10.40 − ddl = 8; P < 0.001). Samplings in January and April gave higher glucocapparin contents compared to samplings in August, September and November (except at Richard Toll) which displayed lower values. With regards to variation in glucocapparin content between locations, samples from Richard Toll had the highest contents as compared to Thies and Dakar. This shows an apparently very marked “soil effect”. Ecological adaptability of this plant to many environments may explain the observed variability. Indeed, a strong intra-individual variability was noted with this plant. Its morpho-physiological characteristics varied between different locations. Anatomical cuts showed that B. senegalensis presented morphological adaptations in the stems, leaves and roots that conferred it a broad ecological adaptability to survive in both wet and dry environments [16]. Many studies have shown the variability in GSL contents according to seasons or localities. In Senegal, an earlier study carried out in the same localities revealed an increase in glucocapparin content with increasing latitude [17]. This is in agreement with our results which showed that glucocapparin contents increased from Dakar to Thies and then Louga and were highest in Richard Toll. With Brassica oleracea leaves, total glucosinolate concentration was higher in spring (22.l µmol∙g−1∙dw) as compared to that obtained in fall season (13.l µmol∙g−1∙dw) [18]. It was also reported that the glucosinolate content increased by 8-fold in leaves of B. oleracea compared to three other host plants [19]. Other environmental factors such as space, humidity and nutrient availability influenced also the GSL concentration. The type and the quantity of GSLs varied also within tissues of the same plant [1]. As regards the influence of age on B. senegalensis glucocapparin concentration, a preliminary study that we carried out in April 2010 in the four localities concerned showed variability in contents from 2 to 440 µmol/g of glucocapparin (locality was not taken into account). The old leaves that became very hard and sometimes pale contained lesser quantities of GSLs. Higher values were directly correlated with the presence of young and mature leaves. Except for rainfall, abiotic factors such as temperature and illumination conditions of the different sites could play a role in glucosinolate content. Indeed, Senegal is a very sunshine country and temperature increase according latitude related to glucosinolate content.

In the four localities, leaves collected in January consistently showed the highest glucocapparin contents (Figures 3-6). At Richard Toll, higher glucocapparin contents were detected in leaves compared to fruits, especially from November to July. However, from June to July, there was no significant difference in glucocapparin content between leaves and fruits (Figure 3). At Thies, the fruits had higher glucocapparin contents than leaves (Figure 4). Glucocapparin content in leaves and fruits collected from Louga and Richard Toll were not signifycantly different between organs (Figure 5). In Dakar, even highest glucocapparin concentrations were obtained in January, the content in Tleaves was lower compared to other localities (Figure 6). With regards to GSLs, even though their content in B. senegalensis was low, the contents detected in our study were generally higher than those reported in other studies. Brassica napus ssp. Pabularia leaves contained GSL concentrations between 1.06 to 49.17 with an average of 19.85 µmol/g [20]; And those from Brassica rapa L leaves displayed different values in two different locations (11.8 to 74.0 µmol/g against 7.5 - 56.9 µmol/g) [21]. In Barbarea vulgaris ssp. Arcuata the total content of GSL varied between 3 and 46 µmol/g dry wt but generally between 3 and 15 µmol/g

Figure 3. Glucocapparin content of Boscia senegalensis collected at Richard Toll (RT) between 2010-2011.

Figure 4. Glucocapparin content of Boscia senegalensis collected at Thies (T) between 2010-2011.

Figure 5. Glucocapparin content of Boscia senegalensis collected at Louga (L) between 2010-2011.

dry wt although it was noted an increase during autumn where it reached 35 - 75 µmol/g dry wt [22].

In all locations, August, September and to a lesser extent November were the periods with the lowest recorded values. At Richard Toll, between January and August,

Figure 6. Glucocapparin content of Boscia senegalensis collected at Dakar (D) between 2010-2011.

glucocapparin content decreased by more than six times (Figure 3). In some cases, the scarcity of the fruits between August and November did not make it possible to calculate standard deviations because of single sample size. However, where comparison of the glucocapparin contents between organs was feasible, values of fruits were always higher than those in leaves. This may be related to their ripening process which occurs gradually during the year. On this issue, Richard Toll still constituted an exception since fruits are present all year long contrary to Thies and Dakar.

The period between August and November corresponds to the rainy season in Senegal. We hypothesized that rain was the main factor responsible for the low contents of glucocapparin particularly in leaves. It’s likely that the plant confined most of its resources during this period to its vegetative development thus producing only limited quantities of compounds such as glucocapparin for its defence. Such protective substances would be produced under strong moisture stress at the beginning of the dry season (October to November). It is necessary to conduct further studies on B. senegalensis during this period which coincides with the start of harvesting certain crops such as groundnuts. Indeed, a study had revealed that CL50 obtained from this plant compared with those of the pure molecules indicated that leaves and fruits of B. senegalensis contained sufficient glucocapparin to release MITC on levels comparable with CL50 of the pure molecule [23]. Higher levels of glucocapparin were observed in January where peaks were obtained in all localities. Such an effect was also reported in the case of radish germs treated with a high concentration of NaCl solution (100 mM) increasing the production of GSL without inhibiting growth. Alkaline stress would induce genes relevant to GSL synthesis; also, salt could play a role in osmotic adjustment in the case of low water potential [24].

4. Conclusion

To the best of our knowledge, this is the first study investigating glucocapparin production by B. senegalensis throughout the whole year. After glucocapparin was determined following adaptation for the method of GSLs determination in rapeseed results showed very significant differences in concentrations according to localities and periods of harvest. The rainy season corresponded to the lower productions of glucocapparin. B. senegalensis, known for its insecticidal properties towards pests could be a good candidate to be used for the preservation of food products by taking into account the available quantities of active ingredient (glucocapparin) contained in the different organs. Particular attention should be brought to MITC, its main enzymatic breakdown product that should not be present even in small residues after treatment. In addition, its capacity to reduce the germinative capacity should be investigated before any systematic use in food stocks or seeds.

5. Acknowledgements

The “West African Agriculture Productivity Program (WAAPP)” funded by the World Bank and CORAF/ WECARD financed by DFID who sponsored the study are gratefully acknowledged. We thank Baboucarr MANNEH (AFRICA RICE) and Djibril TRAORE (ITA) for their contribution.

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NOTES

*Corresponding author.