Comparison of ultrasound-assisted extraction and dynamic maceration over content of tagitinin C obtained from Tithonia diversifolia (Hemsl.) A. gray leaves using factorial design
Aline M. R. Silva1, Nayara L. O. Ferreira1, Anselmo E Oliveira2, Leonardo L Borges3, Edemilson C Conceição1
1 Faculty of Pharmacy Research, Laboratory of Natural Products, School of Pharmacy, Federal University of Goiás, Goiânia, Goiás, Brazil
2 Chemistry Institute, Federal University of Goiás, Goiânia, Goiás, Brazil
3 Anápolis Campus of Exact and Technological Sciences Henrique Santillo, State University of Goiás, Anápolis, GO, Brazil
|Date of Submission||10-May-2016|
|Date of Acceptance||11-Jul-2016|
|Date of Web Publication||18-Apr-2017|
Dr. Edemilson C Conceição
Laboratório de PD&I de Bioprodutos, Faculdade de Farmácia, Universidade Federal de Goiás, CP Praça Universitária, Setor Universitário, Goiânia, Goiás
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background:Tithonia diversifolia belongs to the Asteraceae family. The leaves of T. diversifolia have been studied lately because of the presence of tagitinin C. Objective: Looking for an easy and inexpensive method to extract tagitinin C from T. diversifolia leaves, this work aims to conduct a screening to evaluate the influence of different experimental factors using the dynamic maceration and ultrasound-assisted extraction methods with 23 factorial design based on response surface methodology in enhancing this chemical marker extraction. Materials and Methods: The experimental factors were: extraction time (ET) of 30 and 60 minutes, solid: liquid ratio (SLR) of 5 and 10 grams/grams and ethanolic strength (ES) 48 and 96% (w/w). The experiments were done tripled. The content of tagitinin C in each produced extract was quantified by HPLC method. Results: The highest concentrations of tagitinin C obtained under the experimental design were 0.53 mg/mL and 0.71 mg/mL, respectively for dynamic maceration (DM) and ultrasound-assisted extraction (UAE) from Tithonia diversifolia powdered leaves. For the UAE method, the main parameter for higher contents of tagitinin C was the solid: liquid ratio, followed by the ethanolic strength, and the extraction time was not significant for this method. As for the DM method, all the parameters (SLR, ES, and ET) were significant for a higher content of tagitinin C. Conclusion: Based on the obtained results, it was revealed that the ultrasound-assisted extraction was more effective than dynamic maceration for tagitinin C extraction from T. diversifolia powdered leaves.
Abbreviation used: DME: dynamic maceration extraction, UAE: ultrasound-assisted extraction, ET: extraction time, ES: ethanolic strength, SLR: solid:liquid ratio, Tag C: tagitinin C, HPLC: high-performance liquid chromatography.
Keywords: Dynamic maceration, factorial design, response surface methodology, tagitinin C, ultrasound-assisted extraction
|How to cite this article:|
Silva AM, Ferreira NL, Oliveira AE, Borges LL, Conceição EC. Comparison of ultrasound-assisted extraction and dynamic maceration over content of tagitinin C obtained from Tithonia diversifolia (Hemsl.) A. gray leaves using factorial design. Phcog Mag 2017;13:270-4
|How to cite this URL:|
Silva AM, Ferreira NL, Oliveira AE, Borges LL, Conceição EC. Comparison of ultrasound-assisted extraction and dynamic maceration over content of tagitinin C obtained from Tithonia diversifolia (Hemsl.) A. gray leaves using factorial design. Phcog Mag [serial online] 2017 [cited 2022 Jan 25];13:270-4. Available from: http://www.phcog.com/text.asp?2017/13/50/270/204555
- Tithonia diversifolia leaves possess tagitinin C, a sesquiterpene lactone, as an important secondary metabolite with several biological activities, such as antimalarial, gastroprotective, chemotherapeutic adjuvants, and toxic activities.
- Ultrasound-assisted extraction was more effective to obtain higher levels of tagitinin C when compared with dynamic maceration extraction.
- Factorial design can be employed as a screening tool to find the effects of factors investigated in the extraction processes.
| Introduction|| |
The genus Tithonia belongs to Asteraceae family and is distributed in 11 species. Inside that, Tithonia diversifolia is the species most widely studied. Also known as "Mexican Sunflower," this species is a shrubby herb, abundant in tropical and subtropical regions., Its stem and leaves have been commonly used by traditional medicine in topical use for snake bites and abscesses and in oral form against malaria and as a snakebite antidote.,,
This plant has as secondary metabolites classes of sesquiterpenoids, diterpenoids, as well as flavonoids. Thereby, many classes of secondary metabolites have been isolated and studied to verify the biological applicability and the chemotaxonomic applications.
Among these metabolites, there are the sesquiterpene lactones as prominent group. These are located inside the glandular trichomes of leaves and have as major substance the tagitinin C [Figure 1], which is a sesquiterpene lactone of heliangolido's type, responsible for many works looking for verification of pharmacologic activities.
Lee et al. and Liao et al. indicated that T. diversifolia extract and the isolated tagitinin C act as chemotherapeutic adjuvants on the glioblastoma cells. The activity against Plasmodium falciparum was also reported by the presence of tagitinin C as well as the gastroprotective activity. In addition to these performances, the toxic activities are also reported. Elufioye et al. demonstrated the reduction of the parasitemia in mice with consequent renal and hepatic toxicity. Passoni et al. also demonstrated that the ingestion of extracts rich in STLs can cause kidney damage as shown by Fankule and Abatan. The tagitinin C between the others sesquiterpene lactones has also been reported in studies for agricultural benefits for control to cowpea seed bruchid, Callobruchus maculatus; ants, Atta cephalotes; as well as caterpillar Philosamia ricini.
The tagitinin C has solubility in apolar solvents such as acetone, ether, and dichloromethane. However, as related before, the use of these chemicals is hampered by many attendant problems such as toxic residues in foods and humans, workers, safety and high cost of procurement., Besides, the hydroethanolic solutions are commonly used in extractive processes precisely because of their extraction efficiency and low toxicity compared with other organics solvents.
This chemical marker has been extracted from T. diversifolia leaves by different extraction methods using a range of solvents such as infusion method using water as a solvent, supercritical fluid extraction using methanol and CO2 as a solvent, and also Soxhlet extraction using dichloromethane as a solvent.
The ultrasound-assisted extraction (UAE) is a simple, efficient, and inexpensive process that utilizes the energy of the sound waves to transmit frequencies higher than the human hearing capacity, causing a pressure variation in the liquid extractor, generating cavitation, which creates shear forces that break cell walls and facilitates metabolites transfer to solvent., This effect works in extraction process by increasing the mass transfer, breaking plant cells, increasing penetration of the solvent, and reducing capillaries effects. The method can be used as an alternative extraction technique and has been applied to the extraction effectively for various organic compounds derived from vegetable drugs., This technique has benefits such as high reproducibility, the possibility of using large sample size range, the fast processing, and low economic cost.
On the other hand, the dynamic maceration is a technique in which the extraction occurs by diffusion, where the organic solvents are used according to their polarity to extract the interest compounds. In general, there is the saturation of the extraction solvent or a diffusional equilibrium between the solvent and the vegetable cell. This technique is one of the most used extraction method because of its suitability to different scales, simplicity, and inexpensive compared with other methods such as UAE.,,
The factorial design based on response surface methodology is a functional method to determine the effects of multiple factors and their interactions with the different variables. This method has been used especially in plant extraction experiments to find the optimum response between the different factor levels.,
Given the various applications of the sesquiterpene lactones and its different methods of extraction, this paper aims to conduct a screening to evaluate the influence of different experimental factors for tagitinin C extraction from T. diversifolia leaves in dynamic maceration and UAE methods with a 23 factorial design based on response surface methodology.
| Material and Methods|| |
Leaves of native specimens of T. diversifolia were collected in Goiânia, Goiás, Brazil (16°39'08.78”S49°15'47.66” W 710 m). Voucher specimens were deposited in the herbarium of Federal University of Goiás (record number UFG-48591). The leaves were dried at 40°C, grinded by the comminution method, and stored sheltered from light and moisture for subsequent use in the extractions.
The UAEs were performed with an ultrasonic device (USC 2800A, 40 kHz, Uniques) equipped with a digital timer and temperature controller. The dynamic maceration were performed with a shaker table orbital (Model NT155, 60 Hz, Novatecnica) with digital timer and speed shaker controlled at 120 rpm.
Samples of tagitinin C used for the quantification study were isolated according to the methodology used by Abe et al. The structural elucidation of this compound was carried out by 1H and 13C NMR, and the spectral data were compared with those from authentic material and data from the literature.,
Acetonitrile was analytical grade (Merck KGaA, Darmstadt, Germany). Additionally, acetic acid (Scharlau) and ultrapure water from a Milli-Q system (Millipore®, Bedford, MA, USA) were used.
In the HPLC method, tagitinin C was identified and quantified using a HPLC Waters® e2695 (Milford, MA, USA), comprising a quaternary pump, an online degasser, an autosampler, and a photodiode array detector model 2998. The treatment of data and control of HPLC equipment were performed in Empower® 2.0 software. An isocratic elution was performed column Zorbax Eclipse XDB-Agilent®, C18, 250 mm × 46 mm × 5 μm. The presence of tagitinin C was confirmed by comparison of their retention time, spiking the extract with standard and overlaying UV spectra with standard compound at a 254 nm.
The mobile phase was compound by acetonitrile and 1% (v/v) acetic acid in water (70:30) at a flow rate of 1 mL/min at 30°C. All solutions were degassed and filtered through a 0.45 μm pore size filter (Millipore, USA).
Experimental design and statistical analysis
To evaluate the influence of factors, main effects and interactions effects on the extractive process of tagitinin C by dynamic maceration (DME) and ultrasound (UAE) were used an experimental design 23. The factors studied were extraction time (ET) of 30 and 60 min, solid:liquid ratio (SLR) of 5 and 10 g/g, and ethanolic strength (ES) 48 and 96% (w/w). The experiments were done tripled. All the 24 trials were randomized to satisfy the statistical requirement of independence of observations [Table 1].
|Table 1: Experiment design and observed responses of dynamic maceration and ultrasound extractions of T. diversifolia leaves powder|
Click here to view
| Results and Discussion|| |
The extraction results values are summarized in [Table 1]. The highest concentrations obtained under the experimental design were 0.53 and 0.71 mg/mL, respectively, for dynamic maceration (DME) and UAE from T. diversifolia leaves powder. In the most part of experiments, it can be seen that UAE values were higher than DME, which showed the positive effect of the ultrasound on the contents of tagitinin C and their kinetics extraction. These findings were also observed in the extraction of rutin from Calendula officinalis L. (Asteraceae).
The results showed that tagitinin C is affected most significantly by SLR, followed by ES in UAE, as can be seen in [Figure 2]a. The positive effect of SLR suggests that the increasing amount of powdered leaves could provide the highest levels of this chemical marker. Besides, in the UAE, the ethanol strength exerted positive effect over tagitinin C content. Also, in [Figure 2]a, it can be observed that there are no interactions between the investigated factors at a significance level of 5%.
|Figure 2: UAE statistical graphs. (a) Pareto chart of standardized effects for the concentrations of tagitinin C in the UAE from T. diversifolia leaves. (b) Response surface graph relating ES and SLR|
Click here to view
In this study, the extraction time was not significant at a level of 5%, probably because the fast extraction of tagitinin C by the solvent. This feature could be useful in further applications of this species, resulting in savings of time and energy.
[Figure 2]b shows the surface response plot for tagitinin C (mg/mL) as a function of ES and SLR. The plot clearly shows the increasing tendency of tagitinin C values with the increasing of ES and SLR. This can be attributed to the nonpolar feature of the chemical marker. The adjusted equation obtained for the tagitinin C response is shown in equation 1:
Tagitinin C (mg/mL) = 0.41+0.20ES+0.28SLR (1)
The analysis of variance (ANOVA) [Table 2] results in a good model performance with the determination coefficient adjusted value of 0.8409. The calculated model was able to explain 84.09% of the result in the tagitinin C extraction. So, the results indicated that the model could work well, providing information for further experimental designs with quadratic models, with the aim of finding the optimum conditions to extract tagitinin C using UAE. It can also be observed in [Table 2] that variables ES and SLR showed significant difference individually, with P less than 0.05.
From the data obtained, it can be interpreted that, for tagitinin C extraction by UAE, the solvent was not saturated by the SLR, concluding that more powdered leaves could be used in higher ratios, and also that the use of ethanol with higher alcoholic graduation (96%) was the best condition. The extraction time in the conditions described did not interfere with the results and the factors act independently.
As shown in the Pareto chart [Figure 3]a for the dynamic maceration method, the factors ES, SLR, and ET exerted important influence for the concentration of tagitinin C in the extract obtained with estimated effects of approximately 11, 4.9, and 2.7, respectively. The response surface graphs demonstrate the interaction between the significant variables. [Figure 3]b show the interaction between SLR and ES. Higher values of SLR and ES imply in higher levels of tagitinin C. This relation can also be seen in [Figure 3]c, which shows the positive effect between ES and ET, and in [Figure 3]d, which shows the positive effect between SLR and ET.
|Figure 3: Dynamic maceration statistical graphs. (a) Pareto diagram to method of dynamic maceration. (b) Response surface graph relating ES and SLR. (c) Response surface graph relating ES and ET. (d) Response surface graph relating SLR and ET|
Click here to view
[Table 3] shows the variance analysis (ANOVA) for dynamic maceration. It can be seen that all the three factors (ES, SLR and ET) were significant (P < 0.05) on the tagitinin C extraction. It can also be seen that the interactions of the factors investigated were not significant at a level of 5%, showing no synergism between them in this extraction process.
| Conclusions|| |
In this work, the UAE and dynamic maceration to obtain tagitinin C from T. diversifolia were investigated with 23 factorial design based on response surface methodology in enhancing this chemical marker extraction. Thus, the design employed in this paper could be useful in further studies to optimize the extraction of tagitinin C. Based on the results, it was revealed that the UAE was more effective than dynamic maceration for T. diversifolia. The information found in this paper will be important for other exploitation and application of the resource.
Financial support and sponsorship
CNPq, CAPES and FAPEG.
Conflicts of interest
There are no conflicts of interest
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[Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2], [Table 3]
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