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Química Nova

Print version ISSN 0100-4042

Quím. Nova vol.32 no.5 São Paulo  2009

http://dx.doi.org/10.1590/S0100-40422009000500042 

NOTA TÉCNICA

 

Optimization of the carrot leaf dehydration aiming at the preservation of omega-3 fatty acids

 

 

Vanessa Vivian de Almeida; Elton Guntendorfer Bonafé; Edvani Curti Muniz; Makoto Matsushita; Nilson Evelázio de Souza; Jesuí Vergílio Visentainer*

Departamento de Química, Universidade Estadual de Maringá, Av. Colombo, 5790, 87020-900 Maringá - PR, Brasil

 

 


ABSTRACT

The carrot leaf dehydration conditions in air circulation oven were optimized through response surface methodology (RSM) for minimizing the degradation of polyunsaturated fatty acids, particularly alpha-linolenic (LNA, 18:3n-3). The optimized leaf drying time and temperature were 43 h and 70 ºC, respectively. The fatty acids (FA) were investigated using gas chromatography equipped with a flame ionization detector and fused silica capillary column; FA were identified with standards and based on equivalent-chain-length. LNA and other FA were quantified against C21:0 internal standard. After dehydration, the amount of LNA, quantified in mg/100 g dry matter of dehydrated carrot leaves, were 984 mg.

Keywords: alpha-linolenic acid; carrot leaves; optimized drying.


 

 

INTRODUCTION

The actual world nutritional is a paradox involving, at the same time, lack and excess of foods. It is known that most essential nutrients for human come from vegetal sources and that parts vegetable that might be used as food are wasted due to the lack of appropriate technologies. The development of new technologies targeting the use of such materials is now an important challenge for minimizing the squandering of food of potential-food ones as waste and, at same time, it is an alternative for reducing the pollution effects caused by food-wasting due their high organic content. Many researches have reported the elaboration of unconventional products as food.1-5 They enhance the industrial efficiency reducing the growing accumulation of industrial waste that constitutes a source of contamination and hygienic and environmental problems.

Many vegetable leaves, including those of carrot (Daucus carota L.), are wasted. Carrot leaves are very rich in both nutrients such as vitamin C, β-carotene, fibers and several minerals such as Na, P, K, Ca, Mg, Mn, Zn, and Fe.6 They have a pleasant taste and characteristics suitable for processing. They may be used as a raw basis for the preparation of several foods. The use of the by-products of the vegetable industry has presented technological viability, and they have been used for the formulation of cream soups made of dehydrated vegetable stalks.7

Plant leaf lipids usually contain large proportions of alpha-linolenic acid (LNA, 18:3n-3), which is an important component of the chloroplast membrane lipids.8,9 Mammals who feed on these plants convert LNA by the same sequential desaturation and elongation enzyme systems. It results in the production of long chain-polyunsaturated fatty acids (n-3 LC-PUFA) which are reported to play an important role in human health.10

Carrot leaves, like others green leafy vegetables, are a good source of essential fatty acids, being LNA the predominant fatty acid. In the process for dehydration of carrot leaves aiming the conservation LNA the fresh leaves are converted in dry product rich in essential fatty acids that might be used as complementary food in the human nutrition.

The goal of the present study was to optimize the carrot leaf dehydration conditions in air circulation oven through the response surface methodology (RSM). It was investigated the suitable parameters to avoid the degradation of polyunsaturated fatty acids (PUFA), especially the LNA.

 

EXPERIMENTAL

Sampling

Leaves of carrot (organic, pesticide- and additive-free) were obtained from Paraná State producers (23º25´S, 51º22´W). Eight kilograms of leaves were collected from the same lot, washed in running water and hygienized with sodium hypochlorite (0.005%). After the removal of excess water, the leaves were submitted to dehydration at different drying conditions, in an air circulation oven (Quimis Model Q-314M292). The dried leaves were ground in a knife mill, stored in aluminum foil-lined plastic bags in nitrogen atmosphere at -18 ºC for later chemical analysis.

Chemical analysis

Dried leaf moisture content was determined as described by AOAC11 and the total lipids were determined by the method of Bligh and Dyer.12 The fatty acid methyl esters (FAME) were prepared by the method of Joseph and Ackman.13 The FAME were analyzed in a Shimadzu 14-A (Kyoto, Japan) gas chromatography equipped with a flame ionization detector (FID) and a fused silica capillary column CP-Select CB-FAME (100 m x 0.25 mm id., 0.25 µm film thickness, Varian, EUA). The operation parameters were as follows: detector temperature, 230 ºC; injection temperature, 220 ºC; column temperature, from 150 to 185 ºC at 2 ºC/min and to 225 ºC at 10 ºC/min, final holding time of 20 min; carrier gas, hydrogen at 1.2 mL/min; make-up, nitrogen gas at 30 mL/min; split injection at 1:100 ratio. An amount of 2.0 µL of each sample was injected into the gas chromatograph nine times. Peak areas were determined in CG-300 Computing integrator (CG Instruments, Brazil) and FAME were identified by comparison with known retention times of standards from Sigma (USA). Fatty acid identification was based on authentic reference standards (Sigma, USA) and equivalent chain-length values (ECL).14,15 LNA and other fatty acids were quantified against C21:0 internal standard from Sigma (USA), as described by Joseph and Ackman.13

Experimental design

A 22 center-pointed factorial design was employed to study response "y" (the LNA content/100 g of dried carrot leaves).16 The time (x1) and temperature (x2) were used in the dehydration process were the independent inputs studied to optimize "y". The values for the two inputs used in the center-pointed 22 factorial design were chosen from the four preliminary runs shown in Table 1. The assay for which the conditions gave the best "y" response in preliminary runs (Table 1) was taken as the center-pointed 22 factorial (Table 2). The quadratic polynomial regression model

was assumed to be suitable for predicting the response (y), where x1 and x2 are coded independent inputs; β0, β1, β2, β11, β22, β12, are the parameters to be estimated. The whole design analysis (regression analysis, response surface, and contour plots) were developed using the Design-Expert Software.17

Statistical analysis

The statistical analyses were done as follow: using Statistica Software18 to obtain the Tukey's test at 5% given one-way ANOVA; using Design-Expert Software17 for obtaining the ANOVA of factorial analysis.

 

RESULTS AND DISCUSSION

Table 1 gives the values of inputs (time and temperature) used in the four runs and the obtained results as well, for the preliminary drying process. No significant difference in carrot leaf moisture was observed (Table 1) in the three samples submitted to the different drying conditions (runs 2-4). The largest moisture content, 10.15%, was observed for leaves dehydrated in run 1, at mild time and temperature conditions.

The interaction of the times 41 and 65 h with the temperatures 40 and 60 ºC, Table 1, did not reveal significant differences between run 3 and run 4 (best results). On the other hand, the dehydration at 60 ºC for 41 h (run 3) was taken as the center-pointed factorial design further developed in this work, because run 3 conditions employed smaller time than run 4 ones. The best results concerning the higher amount of LNA, lower level of moisture and lower time employed indicated the run 3 (Table 1) as good experimental condition for the center-point 22 factorial design, further developed in this work for obtaining the quadratic polynomial regression model. The 22 factorial was carried out using 12 h below and above the center-point of 41 h in association with 10 ºC below and above the center-point temperature of 60 ºC. The runs from the combinations used can be seen in Table 2.

Response surface

The response surface methodology (RSM) is based on the construction of empiric mathematical models. Polynomial functions to describe the studied system are generally employed that allow exploring the system for optimization.16,19 This method was used to determine the values for time and temperature inputs that resulted in the best response, that is, the lowest carrot leaf LNA loss as a result of the dehydration during leaf drying.

Variance analysis at 5% significance level (p<0.05) showed that the quadratic model proposed was predictive of the LNA concentration in carrot leaves and the R2 value (0.9884) was satisfactory. The model determination coefficient, R2, demonstrated that the responses observed fitted the quadratic model. There was no evidence of lack of fitting and the pure error was not significant. The ANOVA concerning the factorial analysis is presented in Table 3.

Both linear and the quadratic terms for the dehydration time were significant. For the temperature of dehydration, only the linear term was significant. The time and temperature interaction parameter was not significant at 95% confidence.

The largest LNA concentration response in the time and temperature intervals studied was considered for choosing the optimal drying time. The response factor studied presented a linear behavior as a function of the temperature. The response tended to increase linearly with the increase in temperature during drying. Of course, this trend will not be achieved at higher temperatures because the degradation will prevail.

However, in relation to the time variation, the response presented a quadratic behavior. Time affected the LNA content inducing an increase in its response until it reached a maximum and decreased gradually afterwards.

Equation 2 resulted from the estimation of the parameters of Equation 1. It represents the quadratic model

where x1 and x2 are the codified drying time and temperature and y is the response variable (LNA concentration). Thus, the mathematical model proposes the best experimental conditions, time and temperature, for minimizing the LNA degradation in carrot leaves as being approximately 43 h (x1 = 0.167 ) and 70 ºC (x2 = 1.0).

Total lipids and fatty acid composition in carrot leaves dehydrated in optimized conditions

Ground dehydrated carrot leaves presented 33.6 mg/g total lipids on average. LNA predominated in carrot leaves. Research reports that green vegetables contain a relatively high proportion of omega-3, polyunsaturated fatty acids (PUFA), primarily in the form of LNA.20-23 The mass percentage of LNA in relation to the other fatty acids quantified was higher than 40% (Table 4) in carrot leaves dehydrated at 70 ºC for 43 h (optimized conditions).

 

 

Saturated fatty acids (SFA), monounsaturated fatty acids (MUFA), and polyunsaturated fatty acids (PUFA) were also found. The main fatty acids present in carrot leaves were LNA, linoleic acid (LA, 18:2n-6), palmitic acid (16:0), and hexadecatrienoic acid (16:3n-3). Similar results were reported.21-23

The main SFA found was palmitic acid, with a concentration of 409 mg/100 g dry matter of dehydrated carrot leaves. Other SFA found were myristic acid (14:0), estearic acid (18:0), behenic acid (22:0) and lignoceric acid (24:0), with concentrations ranging from 9.0 to 45.6 mg/100 g dry matter of dehydrated carrot leaves. Among MUFA, palmitolic acid (16:1n-7) and oleic acid (18:1n-9) were found in concentrations of 46.3 and 69.0 mg/100 g dry matter of dehydrated carrot leaves, respectively.

The LNA concentration of 984 mg/100 g is two-fold that of LA at 467 mg/100 g dry matter of dehydrated carrot leaves. The presence of fatty acid 16:3n-3 in carrot leaves in a significant concentration, 312 mg/100 g dry matter of dehydrated carrot leaves, raised the omega-3 fatty acid sum.

Dry matter LNA was quantified in nine species of vegetables.24 The LNA concentration varied from 478 to 1,988 mg/ 100 g dry matter. The carrot leaves dried in optimized conditions presented a LNA concentration in this range.

The ratio n-6/n-3 fatty acids have an important role in the human diet. According to Simopoulos,25 human beings evolved on a diet in which the ratio n-6/n-3 essential fatty acids was about 1-2 /1. Today's western cultures have an n-6/n-3 approximately 15 for northern Europe and 16.7 for current US differing from human evolution low ratio.26 The optimal balance between dietary LNA and LA has shown to reduce the potential for asthma27 and may prevent thrombosis and atherosclerosis.28 In contrast, a higher serum n-6/n-3 ratio may increase the risk of coronary heart disease.26 The ratio n-6/n-3 fatty acids was 0.36 in the carrot leaves studied.

The Institute of Medicine of the United States recommends the daily LNA intake of 1.6 g/d for men and 1.1 g/d for women aged between 19 and <70 years.29 As demonstrated in this work, carrot dehydrated at 43 h and 70 oC minimize the LNA loss by degradation. So as used as supplementary food, the dehydrated carrot leaves in these optimized conditions may contribute to the recommended daily intake by providing a considerable amount of dietary LNA.

 

CONCLUSIONS

In conclusion, the present study showed that carrot leaves may be dehydrated under optimized technological conditions. Air circulation oven dehydration at 70 ºC for 43 h promotes good protection to the LNA and conserves others fatty acids as well. The average LNA content was determined at 984 mg/100 g of dehydrated carrot leaves. The dehydrated carrot leaves in the optimized conditions [70 ºC for 43 h] may provide a considerable amount of dietary LNA as used as supplementary food.

 

SUPPLEMENTARY MATERIAL

Available in http://quimicanova.sbq.org.br.

 

ACKNOWLEDGMENTS

The authors wish to thank CAPES, CNPQ and Fundação Araucária for financial support.

 

REFERENCES

1. Stojceska, V.; Ainsworth, P.; Plunkett, A.; Ibanoglu, E.; Ibanoglu, S.; J. Food Eng. 2008, 87, 554.         [ Links ]

2. Stevanato, F. B.; Petenucci, M. E.; Matsushita, M.; Mesomo, M. C.; Souza, N. E.; Visentainer, J. E. L.; Almeida, V. V.; Visentainer, J. V.; Ciênc. Tecnol. Aliment. 2007, 27, 567.         [ Links ]

3. Kobori, C. N.; Jorge, N.; Ciênc. Agrotecnol. 2005, 29, 1008.         [ Links ]

4. Ferrari, R. A.; Colussi, F.; Ayub, R. A.; Rev. Bras. Frutic. 2004, 26, 101.         [ Links ]

5. Oliveira, L. F.; Nascimento, M. R. F.; Borges, S. V.; Ribeiro, P. C. N.; Ruback, V. R.; Ciênc. Tecnol. Aliment. 2002, 22, 259.         [ Links ]

6. Pereira, G. I. S.; Pereira, R. G. F. A.; Barcelos, M. F. P.; Morais, A. R.; Rev. Ciênc. Agrotecnol. 2003, 27, 852.         [ Links ]

7. Couto, S. R. M.; Derivi, S. C. N.; Mendez, M. H. M.; Higiene Alimentar 2004, 18, 12.         [ Links ]

8. Simopoulos, A. P.; Asia Pac. J. Clin. Nutr. 2002, 11, S163.         [ Links ]

9. Batista, R. B.; Oliveira, M. G. A.; Pires, C. V.; Lanna, A. C.; Gomes, M. R. A.; José, I. C.; Piovesan, N. D.; Rezende, S. T.; Moreira, R. A.; Quim. Nova 2002, 25, 914.         [ Links ]

10. Leonard, A. E.; Pereira, S. L.; Sprecher, H.; Huang, Y.; Prog. Lipid Res. 2004, 43, 36.         [ Links ]

11. AOAC - Association of Official Analytical Chemists; Official Methods of Analysi, Washington, DC, 1998, 16th ed.         [ Links ]

12. Bligh, F. G.; Dyer, W. J.; Can. J. Biochem. Physiol. 1959, 37, 911.         [ Links ]

13. Joseph, J. D.; Ackman, R. G.; J. AOAC Int. 1992, 75, 488.         [ Links ]

14. Strànsky, K.; Jursík, T.; Vitek, A.; J. High Res. Chromatogr. 1997, 20, 143.         [ Links ]

15. Thompson, R. H.; J. Chromatogr. Sci. 1996, 34, 495.         [ Links ]

16. Barros Neto, B.; Scarminio, I. S.; Bruns, R. E.; Como fazer experimentos: pesquisa e desenvolvimento na ciência e na indústria, 2ª ed., Ed. Unicamp: Campinas, 2002.         [ Links ]

17. Stat-Ease; Design-Expert version 6.0.5 Software, Minneapolis, USA, 2001.         [ Links ]

18. Statsoft; Statistica 5.0 Software, Tucksa, USA, 1995.         [ Links ]

19. Teófilo, R. F.; Ferreira, M. M. C.; Quim. Nova 2006, 29, 338.         [ Links ]

20. Vardavas, C. I.; Majchrzak, D.; Wagner, K. H.; Elmadfa, I.; Kafatos, A.; Food Chem. 2006, 99, 822.         [ Links ]

21. Pereira, C.; Li, D.; Sinclair, A.; J. Int. J. Vitam. Nutr. Res. 2001, 71, 223.         [ Links ]

22. Palaniswamy, U. R.; McAvoy, R. J.; Bible, B. B.; J. Agric. Food Chem. 2001, 49, 3490.         [ Links ]

23. Almazan, A. M.; Adeyeye, S. O.; J. Food Comp. Anal. 1998, 11, 375.         [ Links ]

24. Liu, L. X.; Howe, P.; Zhou, Y. F.; Hocart, C.; Zhang, R.; J. Food Lipids 2002, 9, 65.         [ Links ]

25. Simopoulos, A. P.; Biomedic. Pharmacot. 2002, 56, 365.         [ Links ]

26. Sanders, T.; Oakley, F.; Miller, G.; Mitropoulos, K.; Crook, D.; Oliver, M.; Arterioscler., Thromb., Vasc. Biol. 1997, 17, 3449.         [ Links ]

27. Oddy, W. H.; De Klerk, N. H.; Kendall, G. E.; Mihrshahi, S.; Peat, J. K.; J. Asthma 2004, 41, 319.         [ Links ]

28. Hu, F.; Manson, J.; Willet, W.; J. Am. Coll. Nutr. 2001, 20, 5.         [ Links ]

29. Davis, B. C.; Kris-Etherton, P. M.; Am. J. Clin. Nutr. 2003, 78, 640S.         [ Links ]

 

 

Recebido em 30/7/08; aceito em 9/12/08; publicado na web em 30/4/09

 

 

* e-mail: jvvisentainer@uem.br

 

 

MATERIAL SUPLEMENTAR

 


Table 1S - click to extend

 

 


Table 2S - click to extend