Next Article in Journal
Emerging Contaminants in Seafront Zones. Environmental Impact and Analytical Approaches
Next Article in Special Issue
Comparison of Phenolic Compounds in Olive Leaves by Different Drying and Storage Methods
Previous Article in Journal
Simultaneous Determination of Seven Bioactive Constituents from Salvia miltiorrhiza in Rat Plasma by HPLC-MS/MS: Application to a Comparative Pharmacokinetic Study
Previous Article in Special Issue
Fortified Cold-Pressed Oils: The Effect on Sensory Quality and Functional Properties
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effect of Ultrasound-Assisted Extraction Parameters on Total Polyphenols and Its Antioxidant Activity from Mango Residues (Mangifera indica L. var. Manililla)

by
Anahí J. Borrás-Enríquez
,
Elizabeth Reyes-Ventura
,
Socorro J. Villanueva-Rodríguez
and
Lorena Moreno-Vilet
*
Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C., Tecnología Alimentaria, Camino Arenero 1227, El Bajío, Zapopan 45019, Mexico
*
Author to whom correspondence should be addressed.
Separations 2021, 8(7), 94; https://doi.org/10.3390/separations8070094
Submission received: 19 May 2021 / Revised: 7 June 2021 / Accepted: 15 June 2021 / Published: 30 June 2021

Abstract

:
Manililla is a mango variety whose residues contain bioactive compounds such as polyphenols and flavonoids, with high added value. The use of environmentally friendly extraction technology would be of great relevance; hence, this study aimed to evaluate the effect of solvent relation, sonication time and amplitude on the ultrasound-assisted extraction of total polyphenols in Manililla mango residues (peel, endocarp and kernel) and antioxidant activity. An experimental design 23 with a central point was used to evaluate the curvature behavior of the process variables. Conventional maceration was used as a control. The better conditions were obtained at the central point using 50% ethanol in water, 60% amplitude and 20 min of sonication time. We obtained values of up to 1814 mg GAE/100 g, 469 mg GAE/100 g and 672 mg GAE/100 g of total polyphenols and 1228 mg QE/100 g, 653 mg QE/100 g and 880 mg QE/100 g of total flavonoids for peel, endocarp and kernel, respectively. Mangiferin was quantified in ultrasound-assisted extraction at 150 mg/g in peel and 0.025 mg/g in the kernel, but it was not detectable in maceration. An antioxidant capacity of 87%, 14% and 83% inhibition for peel, endocarp and kernel, respectively, were obtained. Peel and kernel were the residues with higher potential as extraction material, while endocarp was not.

Graphical Abstract

1. Introduction

Mango is one of the most important tropical fruit, rich in nutrients such as vitamins, minerals, fiber, an important source of carbohydrates and proteins; its peculiar taste shows a good acceptance by consumers. There exists a wide variety of these fruits around the world [1]. Manila, Haden, Tommy Atkins, Kent, Keitt and Ataulfo are examples of varieties with international recognition, representing about 30% of the global crop together, while the rest are varieties with physical and chemical characteristics similar at international varieties. As a matter of fact, its potential is poorly studied. Manililla is a variety of mango produced in the southeast of Mexico with physical and chemical characteristics similar to Manilla mango, but with a smaller size and weight and a differentiated germplasm [2]. Nowadays, the Manililla mango functions as a variety of mango with important production and consumption [3]; it even generates a significant amount of waste. However, there are not many published studies on the characterization of this variety. It is well known that mango residues (peel, endocarp and kernel) contain a significant amount of bioactive components of therapeutic worth to improve health and reduce disease risk [4].
Traditionally, the aqueous extracts of mango residues have been used as herbal remedies to treat different diseases, including dysentery, diarrhea, urinary tract inflammation, rheumatism and diphtheria [5]. For example, Palmar and Kar [6] reported that mango peel extracts showed thyroid stimulatory effects on animals with hypothyroidism and reduced lipid peroxidation in the liver, kidney and heart tissues [6]. On the other hand, extracts from the mango kernel showed superoxide anion scavenging in a cell-free system, showing possible bioactivity via an antioxidant mechanism [7]. The biological effect of most polyphenols seems to be associated with their antioxidant activity (such as H + or electron donors) due to their ability to eliminate, decompose, trap or prevent the formation of free radicals. Thus, the high content of polyphenols in mango residues may indicate its potential in cosmetic, nutraceutical, pharmaceutical or food applications [8,9]. According to Monribot–Villanueva [3], the peel of the Manililla mango presents higher values of phenolic compounds than the peels of Tommy Atkins, Kent and Manila varieties of mangoes. The significant health benefits generated by the bioactive compounds present in mango residues make it important to evaluate the extraction of bioactive compounds.
Conventionally the extraction of bioactive compounds has been conducted using maceration, hydrodistillation or soxhlet; however, these methods have the limitation of being prolonged, having low efficiencies and using large volumes of nonecological solvents and high process costs, which makes it necessary to search for better alternative methods. Emerging technologies are an option to improve efficiency, reduce time and save energy [10]. Among these novel technologies are ultrasound-assisted treatments, supercritical fluids, subcritical water, microwave-assisted treatments and the application of high pressures. Ultrasound extraction has been used to reduce process times, temperature and solvent consumption [11]. The ultrasonic waves cause a cavitation phenomenon, which causes a rapid series of alternating compression and expansion waves near the solid matrix surface; decompression gives rise to the formation of large air bubbles that finally collapse and implode, releasing the accumulated energy in the form of waves. The above causes a sponge effect in the tissues due to the microscopic channels formed that facilitate solvent penetration, promoting the release of the compounds of interest [9,12]. However, the intensity of cavitation and the extraction performance depends on different factors such as ultrasonic power, the physical properties of the solvent [13], the nature of the matrix, extraction time and amplitude, aside from the ultrasonic system design itself [14]. In addition to this, differences have also been reported within the same matrix, since the concentration of bioactive compounds also depends on variety, ripeness, cultivar zone and the pretreatment of the residue sample, among other factors [15]. The study of underutilized mango varieties such as the Manililla mango opens the landscape of their applications, promoting interest in cultivating and producing this variety in local communities to produce high value-added products that promote the economic development of the region. Thus, the present work aims to evaluate the effect of solvent relation, sonication time and amplitude on the ultrasound-assisted extraction of total polyphenols and flavonoids in Manililla mango residues (peel, endocarp and kernel) and antioxidant activity. Comparative studies between conventional and ultrasound-assisted extraction were conducted, and the experimental data were fitted to regression models to better represent the effects of the process parameters.

2. Materials and Methods

2.1. Plant Material and Obtaining Residues Flours

Manililla Mangoes were collected in April 2019 in Tuxtla Chico, Chiapas, Mexico (14° north latitude and 92° west longitude, altitude 0–500 m above sea level). The ecosystem was characterized by the presence of mango trees. Mangoes were selected by uniform size, diameter, color and firmness at the green maturity stage. Samples were collected directly from the trees and transported to the Pilot plant at CIATEJ. Three days (72 h) were necessary to obtain a mango in the yellow maturity stage.
Samples of mango (Mangifera indica L. var. Manililla) fruits were washed in chlorinated water (100 ppm free chlorine) for 2 min; each replicate was prepared from a representative homogeneity sample (pool) with at least 30 Kg and separated into different parts (peel, endocarp, pulp and kernel). The pulp was stored in dark bags and frozen at −12 °C for further analysis. The peel, endocarp (the fibrous part of the seed) and kernel (the inner part of the endocarp) were dehydrated via convection drying at 50 °C for 48 h, according to Safdar et al. [16]. The dried samples were processed separately in a universal mill (IKA-MF10) and sieved by 60 μm to obtain a fine flour from each mango waste, which was then packed in an airtight aluminum foil bag and stored in a desiccator at room temperature (25 °C) for further analysis (Figure 1).

2.2. Extraction of Bioactives Compounds via Maceration

Ethanol (99% HPLC grade, Karal, Mexico) was used as a solvent for extraction. 1 g of every residue in powder was prepared in 50 mL ethanol, according to Safdar et al. [16], with slight modifications. The flasks containing the samples were placed on a tabletop shaker and were stirred (200 rpm) for 24 h at 25 °C. After extraction, the content of each flask was centrifuged (Allegra 25R Centrifuge, Beckman Coultier Inc., Brea, CA, USA) at 5000× g for 20 min at 20 °C. Then, the liquid phase was decanted and concentrated in a rotary evaporator (300 rpm, 60 °C) and stored in amber vials, which were kept in a freezer for subsequent analyses.

2.3. Extraction Assisted by Ultrasound Bath

An ultrasonic bath (Elmasonic P70H, 200 W and 80 kHz, multifrequency, Singen, Baden-Wurtemberg, Germany) was selected to carry out this study. The obtained flours of mango residue (1 g) were dispersed and homogenized in a volume of 50 mL of solvent (water, ethanol or ethanol–water) in a flask of 100 mL, positioned at the center of the bath using a full factorial design (Section 2.8). Table 1 shows the different operating conditions of the ultrasound-assisted extraction process for each mango residue (peel, endocarp and kernel). After extraction, each sample was filtered and stored at 4 °C in an amber flask, which was capped and sealed for the next analyses.

2.4. Quantification of Total Polyphenols

The total polyphenolic content was determined according to a modified Folin–Ciocalteu described by Prior et al. [17]. The extract (40 μL) was mixed with 3.16 mL of deionized water, 200 μL of Folin–Ciocalteu reagent and 600 μL of sodium carbonate solution (20% w/v, recently prepared). The mixture was incubated at room temperature for 120 min in the dark. The absorbance was measured at 765 nm, using ethanol as a blank. A standard solution of gallic acid (G7384, Sigma-Aldrich, St. Louis, MO, USA) was used to perform calibration curves (125–1000 ppm GA). The results were expressed as milligrams of gallic acid equivalents (GAE), mg GAE/100 g of residue in powder. All samples were analyzed in triplicate.

2.5. Quantification of Total Flavonoids

Flavonoid content was determined using the method obtained from Zhishen et al. [18], with some modifications. In the darkness, 100 µL of the sample was mixed with 1.325 mL of mixture A (75 µL of NaNO2 5% with 1.250 mL of distillate water) and incubated for 5 min. Then, 150 µL of AlCl3 10% (100 g/L) were added and incubated for five minutes, after which 440 µL of mixture B (500 µL of NaOH 1 M with 425 µL of distillate water) were added. The absorbance of 200 µL of this solution was measured at 510 nm against a blank. Total flavonoid compounds were calculated using a standard curve of quercetin (125–1000 ppm Q) and expressed as milligrams of quercetin equivalents of extract (mg QE/100 g). All samples were analyzed in triplicate.

2.6. Analysis of Mangiferin

The quantification of mangiferin was performed on an Acquity Arc system (Waters, Milford, MA, USA) equipped with a pumping device, an autosampler, a column oven, a Photodiode-Array Detector and a Zorbax SB C18 column (4.6 mm × 250 mm, 5 microns, Agilent, Santa Clara, CA, USA). The autosampler holds a 50 µL loop. The injected volume was fixed at 10 µL. The column temperature was set at 40 °C, and the analysis was carried out at a flow rate of 1 mL/min using methanol in acidified water at 30:70 v/v as mobile phase. Chromatograms were recorded in UV at 254 nm with a resolution of 4.8 nm. A calibration curve was performed with seven concentration points (from 0.001 to 0.5 μg/mL) using a mangiferin standard (M3547, Sigma-Aldrich, St. Louis, MO, USA). A coefficient of determination of 0.99 was used (see Supplementary Materials, Figure S1) [14].

2.7. Antioxidant Capacity Assay in Mango Residue Extracts

These studies evaluate the antioxidant behavior of total bioactive compounds present in extracts of mango residues. ABTS and DPPH assays were developed to analyze the radical scavenging ability [19,20].

2.7.1. ABTS• + Scavenging Ability

The ABTS• + scavenging ability was determined according to the method described by Butkhup et al. [21], Miller et al. [22] and Fu et al. [23] to evaluate the radical cation decolorization. The free radical scavenging activity of extracts was expressed as mg TROLOX/100 g of dry matter. The antioxidant activity (inhibition %) was calculated using the following equation:
i n h i b i t i o n   ( % ) = ( 1 A m ) A b · 100
where Am is the control absorbance and Ab is the sample absorbance.

2.7.2. DPPH Radical Scavenging Assay

Total antioxidant activity was determined using the 2,2-diphenyl-1-picryl-hydrazyl (DPPH) method [24] in order to examine the free radical scavenging ability. A stock solution was prepared to mix 2.5 mg of DPPH• radical with 80 mL of pure methanol and 20 mL of distillate water in dark conditions. Then, 292 µL of the radical solution and 8 µL of the sample were mixed and incubated for 90 min, and absorbance was read at 515 nm. Trolox was used as a standard and results were expressed as Trolox equivalents per gram of dried extract (TE/100 g). The antioxidant activity was expressed as DPPH inhibition (%) calculated with Equation (1).

2.8. Design of Experiments

For each residue type (peel, endocarp and kernel), a full factorial design of three factors, two levels (23) with three central points were used in this study to investigate the effects of process variables of ultrasound-assisted extraction on the response variables. Three process variables were selected: solvent relation as a percentage of ethanol in water (0–100%), amplitude (30–90% of the maximum power 600 W), and time (10–30 min). Each design was replicated (including central points), giving 22 runs for each residue type. The Minitab 20 statistical software (Minitab, Inc., State College, PA, USA) was used to carry out the statistical analysis for all experimental designs with a confidence level of 95% (p < 0.05). In order to evaluate the presence of curvature, a mathematical regression model that considers the central point (Equation (2)) was used to analyze the effect of solvent relation (X1), sonication amplitude (X2) and sonication time (X3) on total polyphenol and flavonoids content and antioxidant capacity values:
y = β 0 + β 1 X 1 + β 2 X 2 + β 3 X 3 + β 12 X 1 X 2 + β 13 X 1 X 3 + β 23 X 2 X 3 + β 123 X 1 X 2 X 3 + C P
where y is the response variable, β0 is a constant obtained from response mean values, β1, β2 and β3 are the coefficients for the principal effect, β12, β213, β23 and β123 are the coefficients for the interaction effect and CP is the central point.

3. Results

Table 1 shows the experimental matrix, runs, control and results of bioactive compounds and antioxidant capacity present in the three Manililla mango residues. The different residues had values ranging from 203 to 1814 mg GAE/100 g for the peel, 115 to 469 mg GAE/100 g for the seed and 252 to 672 mg GAE/100 g for the kernel in terms of the total polyphenol content. In the case of flavonoids, it showed values between 254–1228 mg QE/100 g for the peel, 298–653 mg QE/100 g for the endocarp and 532–880 mg QE/100 g for the kernel. The antioxidant activity was evaluated using two assay techniques ABTS and DPPH and reported as inhibition percentage, where it was found to exhibit values ranging from 24–87%, 0.6–14% and 49–83%, for the peel, endocarp and kernel, respectively.
The Manililla mango peel and kernel had major polyphenolic and flavonoid compounds present and a higher inhibition percentage from ABTS and DPPH assays, while the endocarp presented low values of bioactive contents and antioxidant activity.
Morales et al. [25] evaluated the polyphenol compounds and antioxidant activities present in Criollo mangoes from Córdoba, Colombia; they reported values in the peel of 3568 mg GAE/100 g in total polyphenols and high antioxidant activity (ABTS), which are higher than values reported in this study. Meanwhile, Jirasuteeruk and Theerakulkait [26], reported similar results (972 mg EAG/100 g) in total polyphenol compounds using ultrasound-assisted extraction in the peel of the mango var. Chok Anan from Bangkok, Thailand. These variations are mainly attributed to genetic and environmental characteristics, stage of maturity, agricultural practices and storage conditions of the samples [27].
The antioxidant properties of fruit waste are examples of innovative applications. It is important to note that measuring by various assays is important; in this study, DPPH assay showed lower values concerning inhibition percentage. The effectiveness of DPPH assay to the different reactions in the hydrogen atom transfer mechanism usually occurs between antioxidants and peroxyl radicals; DPPH is nitrogen radical with a long halftime and no similarity to the transient and highly reactive peroxyl radicals that contribute to the oxidation of lipids. Many antioxidant compounds quickly react with peroxide radicals (which may react slowly or be inert to DPPH), resulting in low values. This indicates that each antioxidant capacity assay has its thermodynamics and kinetics, and its experimental efficacy rankings of antioxidants will be related to complying with theoretical structure–activity antioxidant relationships [19,20].
Maceration is a traditional and simple method that allows for the obtaining of good extraction efficiencies involving long extraction periods (24–72 h) and (assisted by ultrasound) generally increases the extraction of bioactive compounds, which decreases extraction times, as shown by numerous studies of different residues [13,16,28,29]. However, the extraction efficiency depends mainly on process variables such as sonication time, amplitude, solvent type, particle size and extracting material. In this work, the maceration results are shown in Table 1, which were exceeded or decreased by changing the ultrasound conditions. In general, the central points showed an increase to almost 30% in the extraction of polyphenols and flavonoids in the peel and kernel, compared to extraction via maceration (control), in addition to reducing extraction time by 95%.

3.1. Residue Type

Manililla mango residues (peel, endocarp and kernel) showed variations for the different response variables (Polyphenols, Flavonoids, ABTS and DPPH as inhibition percentage). Bioactive compounds (such as polyphenols and flavonoids) are secondary metabolites produced by the plant against stress produced during germination and growth, dispersed at different plant components. This study shows that the peel and kernel have the majority of extractable bioactive compounds (such as polyphenols). On the other hand, the endocarp has a higher fiber content, which keeps insignificant amounts of pulp residues of the fruit when it is processed, supplying low concentrations of bioactive compounds. The main polyphenols reported in mango peels are gallic, protocatechic, ferulic, syringic and 2-hydroxycinnamic acids, which have high antioxidant activity in vitro [30]. Meanwhile, for the mango kernel, the main phenolic compounds reported were tannins, vanillin, coumaric acid, ferulic acid, caffeic acid, gallic acid and mangiferin, among others. Previous studies have shown that the content of phytochemical compounds and the antioxidant capacity are higher in the kernel and peel than they are in edible tissues. It has been reported that the content of total polyphenols in lemons, oranges and grapefruit peels was 15% higher than that of the pulp of these fruits [31].
Several studies show that mango peel presents a majority of bioactive compounds rather than kernel and endocarp, attributed to the differences in its composition [4,13,25]. The mango residue’s polyphenol compounds are good donors of electrons, generating high antioxidant capacities [32]. Pitchaon et al. [33] evaluated the chelating activity in mango extracts, observing a correlation between the chelating activity and the highest polyphenol content. The antioxidant activity was also related to the chemical structure, since it is conducive to sequestering free radicals with the hydrogen atom from the aromatic hydroxyl group and the stability of the quinone structure that supports an unpaired electron [34].

3.2. Full Factorial with Central Points Design Analysis

In order to evaluate the ultrasound-assisted extraction conditions for each residue type, the experimental designs were analyzed for all response variables. Each design has eight experiments as the extreme points, and three central points added help to evaluate the curvature behavior, as shown in the matrix of Table 1 [35]. Table 2 shows the results of twelve factorial analyses (four response variables for each mango residue: peel, endocarp and kernel); this includes the uncoded coefficients of the model and the level of significance (p ≤ 0.05) of each factor, interaction and curvature. The standard deviation (S), coefficient of determination (R2), adjusted coefficient of determination (R2adj) and predicted coefficient of determination (R2pred) represent the goodness-of-fit statistic parameters.
As the experimental design considers two levels, the adjustment model would be linear; thus, the central points allow for evaluation of whether there is a curvature behavior with a single point; if there is a lack of fit to the linear model, the central point (CP) value would be statistically significant. Table 2 shows that the CP values for most of the models are statistically significant, except for ABTS in the peel and DPPH in the endocarp. This indicates a lack of fit to the linear model and therefore, a significant model curvature.
The sign and value of coefficients represent the tendency and magnitude of influence on the response variables [11]. A positive value exhibits an effect that favors the efficiency extraction, while a negative value indicates an inverse relationship or antagonistic effect between the factor and the response [36]. Thus, factors with a major contribution to higher polyphenol and flavonoid concentrations and antioxidant capacities (ABTS and DPPH) are at central point conditions. Except for ABTS in peel and kernel, it means that the solvent with 50% ethanol, an amplitude of 60% and a sonication time of 20 min always obtained the greatest amount of bioactive compounds and the greatest antioxidant capacity. Figure 2 illustrates the response surfaces of bioactive contents for each residue type regarding solvent relation and sonication time, which were considered as the principal affected factors. Increasing solvent relation and sonication time increases the polyphenols and flavonoid contents; however, better results are obtained when an intermediate value is reached. The high values of ethanol and sonication time decrease the extraction of the bioactive compounds, possibly due to degradation of the compounds. Figure 3 illustrated the response surfaces of antioxidant capacity, measured as inhibition percentage with ABTS and DPPH methods for each residue type, in which similar results were observed. The antioxidant activity of the DPPH of the endocarp did not show a good fit to model, so the response surface is not presented.
Except for the DPPH in endocarp, all of the models result statistically significant (p ≤ 0.05) in ANOVA analysis (see Supplementary Materials Tables S1–S4). Within these models, an R2 between 0.77 and 0.98, an R2adj between 0.63 and 0.96, an R2pred between 0.62 and 0.95 and were obtained for bioactive compounds. The values of S are measured in the units of the response variable, which varies between 76.6 and 131.5 for polyphenols and between 26.4 and 152.6 for flavonoids. For antioxidant capacities, an R2 between 0.68 and 0.99, an R2adj between 0.48 and 0.99 and an R2pred between 0.28 and 0.99 were obtained, and S values between 0.65 and 11.17 for ABTS and from 0.67 to 9.3 for DPPH were obtained. The magnitude of S values results from the concentrations or % inhibition obtained; this is why the peel always displays major values, followed by the kernel and, finally, the endocarp. The higher values in all R2 parameters > 0.9 ensure a satisfactory adjustment of data to the model. Thus, polyphenols models for the peel and endocarp, flavonoids in the kernel, ABTS in the endocarp and kernel and DPPH in the peel and kernel have a high correlation between the observed and the predicted values. The endocarp residues did not show a good fit for flavonoids and DPPH; this could be due to the low values obtained of the different bioactive compounds.
An analysis of residuals was also performed to verify the fit of the models. The residual gives the difference between the observed and fitted model values of a response variable. A small residual value indicates that model prediction is accurate, while standardized residuals greater than 2 and less than −2 are usually considered too large [37]. Figure 4 and Figure 5 present the standardized residuals vs. fitted values plot to check whether the residuals have a constant variance.

3.3. Effect of the Solvent Relation

Different results were obtained with respect to the solvent relation (0%, 50% and 100% of ethanol) in all extraction treatments with the peel, endocarp and kernel of the Manililla mango. According to the analysis of variance, independently of the mango residue, there were significant differences (p < 0.05) in the bioactive compound extraction and the antioxidant activity due to the increase of ethanol in the solvent relation. The highest extraction yield was presented with 50% ethanol in water for the bioactive compounds (polyphenols and flavonoids) and their antioxidant activities (ABTS and DPPH) in the three mango residues (Table 1).
Figure 2 and Figure 3 show that the solvent relation at 50% ethanol is a better solvent for the extraction of bioactive compounds from mango peel, endocarp and kernel compared to pure water and pure ethanol, according to others [38]. Combining both improves the recovery of phenolic compounds, since water dissolves polar compounds while ethanol dissolves the less polar components [39,40]. The above can also be related to Piranha and Patwardhan [41], who claimed that the ellagic acid compound (which is slightly soluble in water) is present in a greater proportion in mango peels.
Many studies related to the extraction of bioactive compounds with different solvents mention that adding a certain amount of water to ethanol can increase the extraction efficiency [42,43]. Martínez–Ramos et al. [13] evaluated the different concentration of an acetone–ethanol mixture in ultrasonic-assisted extraction of polyphenols compounds present in mango peel; they found that a relation of 60:40 (acetone:ethanol) allows for the obtaining of a similar extraction yield; however, in this study, the use of water:ethanol mixture is an important point because the acetone is a solvent and is not friendly with the environment.
Other researchers found higher extraction yields with those relationships that only involve a volume of solvent necessary to cover the extraction material [44,45]. Meanwhile, Rivas and Colina [46], concluded that the higher the dielectric constant, the greater the concentration of total polyphenols that could be obtained. Thus, the extraction efficiency of phenolic compounds will depend largely on the nature of the extractable compound, structure, the degree of polymerization and its relationship with the polarity of the solvent used in the extraction, since there is not a precise method for extraction [47,48]. According to Bychkov et al. [49], the presence of water increases the volume of the plant material and allows a greater contact surface between the solvent and the plant matrix. Likewise, Tobón et al. [28] conclude that the solvent relation (50% ethanol) is the best solvent for extracting the phenolic compounds.

3.4. Effect of Percentage Amplitude

The extraction behavior was evaluated at different percentages of amplitude (30, 60, and 90%) in the different treatments applied to the residues (peel, endocarp and kernel) of the Manililla mango. Previously, it has been reported that an increase in the input power increases the extraction yields due to the larger amplitude of ultrasound traveling through the solvent [14]. However, according to Table 2, the amplitude was not a significant effect (p < 0.05) within the selected domain in this study, nor was it the parameter with the least effect on the extraction of polyphenols and flavonoids. Vrushali and Virendra et al. [14] indicated that the cavitation yield decreases as frequency increases because the cavitation bubbles tend to be smaller and less energetic, thereby reducing the yield. Although several authors have defined a positive effect of the amplitude, the different amplitudes generate the same yield in this work. This is possibly due to the variation of the acoustic field produced inside the ultrasonic bath-type design, where the fixed amplitude has perhaps not been precisely controlled.

3.5. Effect of Sonication Time

The extraction was carried out at different sonication times (10, 20 and 30 min). During the ultrasound-assisted extraction, the solutes are in contact with the solvent, so the extraction efficiency is strongly influenced by the interaction time between the two phases [12,50]. According to the analysis of variance, there is a significant difference (p < 0.05) in total polyphenol concentration of the different residues for sonication time, while the total flavonoids and the antioxidant activities did not show a significant effect. Thus, it could be supposed that in 10 min, the greatest amount of flavonoids are extracted, so the increase in time from 20 to 30 min does not generate a significant rise in the flavonoid concentration. The highest bioactive extraction took place at 20 min, considering both polyphenols and flavonoids and the antioxidant activity ABTS.
Figure 2 and Figure 3 show that at a sonication time of 10 min, low values of bioactive compounds and antioxidant activity were obtained, while a sonication time of 30 min shows similar behavior. According to Selin Sahin et al. [51], the extraction process can reach up to 90% recovery in the first 20 min (a period known as the washing stage), where the dissolution of the soluble components on the surface of the matrix takes place [52]. Although these same authors mention that there is a second stage known as slow extraction (up to 60 min), it should be considered that during the process the goal is to minimize the sonication time and, with this, the energy cost of the process, for which they were not evaluated at a time greater than 50 min. However, Arranz et al. [53] expressed that it can produce oxidation when extracting for prolonged periods, ranging from 1 min to 24 h.
In this study, the extraction of polyphenols and flavonoids present in residues of Manililla mangoes were higher with a solvent relation of 50% ethanol and 20 min. An increase in the polyphenol compounds’ contents was evident from 10 to 20 min, while a period greater than 20 min presented a decrease in concentration. A study by Zou et al. [54] evaluated the extraction of mangiferin with solvent relation (40% ethanol, time 20 min) and presented similar results. The maximum performance obtained was at 20 min. These results indicate that ultrasound could accelerate the development of the balance of bioactive compounds between the cell wall of the plant in shorter times [55,56].
Interactions between factors may occur in ultrasound-assisted extraction. Such is the case in this study; an increase in the concentration of the bioactive compounds was observed as solvent relation and amplitude increased. The synergistic effect produced by solvent relation and sonication time (β13) facilitates the breakdown of the cell wall of the residue, increasing the solubility of the compounds present and increasing the extraction yield [57]. However, using concentrations of 100% ethanol and a high percentage of amplitude could generate a decrease in the extraction efficiency. The above is related to the vibration that produces a greater number of cavitation bubbles, bringing about an asymmetric collapse that leads to the degradation of the bioactive compounds [58].
It was also identified that increasing solvent relation and the sonication time to 20 min provides a significant increase in the extraction efficiency of the bioactive compounds, which facilitates a better drag for the release of the compounds present in the solvent [49]. The increase in the efficiency of ultrasound-assisted bioactive extraction at better conditions may be present because sonication simultaneously improves the hydration and fragmentation processes while facilitating the mass transfer of the solute to the extraction solvent without causing significant decomposition of the solvent [59].

4. Mangiferin Quantification

Once the best-operating conditions for the ultrasound-assisted extraction (50% ethanol, 60% amplitude and 20 min) had been identified, the quantification of mangiferin, a polyphenol of commercial interest, was performed (Table 3). The results showed that the extraction process via maceration does not present mangiferin, while ultrasound-assisted extraction obtained values of 150 mg/g in the peel and 0.025 mg/g in the kernel. These results are higher than those reported by Monribot–Villanueva et al. [3] at day 6 (11.71 mg/g) in the peel, where the presence of mangiferin decreases over time. When the mango is at yellow maturity (suitable for consumption), it has a higher concentration of mangiferin, and when the ripening process continues, there is a notable decrease. These results show one more advantage of extracting assisting with ultrasound.

5. Conclusions

In this study, the ultrasound-assisted extraction of polyphenol compounds from mango Manililla residues was successfully performed. The regression models present a curvature behavior of the process variables, where the better conditions are obtained at the central point with 50% ethanol as solvent relation, 60% amplitude and 20 min of sonication time. We obtained values of up to 1814 mg GAE/100 g, 469 mg GAE/100 g and 672 mg GAE/100 g of total polyphenols, 1228 mg QE/100 g, 653 mg QE/100 g and 880 mg QE/100 g of total flavonoids for peel, endocarp and kernel, respectively, as well as an antioxidant capacity of 87%, 14% and 83% inhibition for peel, endocarp and kernel, respectively. Mangiferin was detected in higher concentration in ultrasound-assisted extractions at 150 mg/g in the peel. The peel and kernel were the residues with higher potential as extraction material, while endocarp was not. Manililla mango residues have great potential as a source of bioactive compounds with high added value (such as polyphenols and flavonoid), using ultrasound-assisted extraction.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/separations8070094/s1, Figure S1: title, Table S1: Analysis of variance (ANOVA) for total polyphenols content, Table S2: Analysis of variance (ANOVA) for flavonoids content, Table S3: Analysis of variance (ANOVA) for antioxidant activity ABTS, Table S4: Analysis of variance (ANOVA) for antioxidant activity DPPH.

Author Contributions

Conceptualization, A.J.B.-E. and L.M.-V.; methodology, A.J.B.-E. and E.R.-V.; software, L.M.-V.; formal analysis, A.J.B.-E. and L.M.-V.; investigation, A.J.B.-E., E.R.-V. and L.M.-V.; writing—original draft preparation, A.J.B.-E.; writing—review and editing, L.M.-V. and S.J.V.-R. All authors have read and agreed to the published version of the manuscript.

Funding

This research was financed by IDRC/CIESAS with the project CEAR2018-2.

Acknowledgments

The author A.J.B.E. thanks CONACYT for postdoctoral fellowship.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lauricella, M.; Emanuele, S.; Calvaruso, G.; Giuliano, M.; D’Anneo, A. Multifaceted Health Benefits of Mangifera indica L. (Mango): The Inestimable Value of Orchards Recently Planted in Sicilian Rural Areas. Nutrients 2017, 9, 525. [Google Scholar] [CrossRef]
  2. Gálvez-López, C.; Adriano-Anaya, D.; Villarreal-Treviño, M.L.; Mayek-Pérez, C.; Salvador-Figueroa, N. Diversidad isoenzimática de mangos criollos de Chiapas, México. Rev. Chapingo Ser. Hortic. 2007, 13, 71–76. [Google Scholar]
  3. Monribot-Villanueva, J.L.; Elizalde-Contreras, J.M.; Aluja, M.; Segura-Cabrera, A.; Birke, A.; Guerrero-Analco, J.A. Endorsing and extending the repertory of nutraceutical and antioxidant sources in mangoes during postharvest shelf life. Food Chem. 2019, 285, 119–129. [Google Scholar] [CrossRef] [PubMed]
  4. Asif, A.; Farooq, U.; Akram, K.; Hayat, Z.; Shafi, A.; Sarfraz, F. Therapeutic potentials of bioactive compounds from mango fruit wastes. Trends Food Sci. Technol. 2016, 53, 102–112. [Google Scholar] [CrossRef]
  5. Ross, I.A. Chemical Constituents, Traditional and Modern Medicinal Uses. In Medicinal Plants of the World; Humana Press: Totowa, NJ, USA, 2003; Volume 1, pp. 315–328. [Google Scholar]
  6. Parmar, H.S.; Kar, A. Protective role of Mangifera indica, Cucumis melo and Citrullus vulgaris peel extracts in chemically induced hypothyroidism. Chem. Biol. Interact. 2009, 177, 254–258. [Google Scholar] [CrossRef]
  7. Morales, P.; Ferreira, I.C.F.R.; Carvalho, A.M.; Sánchez-Mata, M.C.; Cámara, M.; Fernández-Ruiz, V. Mediterranean non-cultivated vegetables as dietary sources of compounds with antioxidant and biological activity. LWT-Food Sci. Technol. 2014, 55, 389–396. [Google Scholar] [CrossRef] [Green Version]
  8. Ribeiro, S.M.R.; Schieber, A. Bioactive Compounds in Mango (Mangifera indica L.). In Bioactive Foods in Promoting Health; Elsevier: New York, NY, USA, 2010; pp. 507–523. [Google Scholar]
  9. Fernández-Ponce, M.T.; Parjikolaei, B.R.; Lari, H.N.; Casas, L.; Mantell, C.; Martínez de la Ossa, E.J. Pilot-plant scale extraction of phenolic compounds from mango leaves using different green techniques: Kinetic and scale up study. Chem. Eng. J. 2016, 299, 420–430. [Google Scholar] [CrossRef]
  10. Chemat, F.; Zill, e.-H.; Khan, M.K. Applications of ultrasound in food technology: Processing, preservation and extraction. Ultrason. Sonochem. 2011, 18, 813–835. [Google Scholar] [CrossRef] [PubMed]
  11. Al-Dhabi, N.A.; Ponmurugan, K.; Jeganathan, P.M. Development and validation of ultrasound-assisted solid-liquid extraction of phenolic compounds from waste spent coffee grounds. Ultrason. Sonochem. 2017, 34, 206–213. [Google Scholar] [CrossRef] [PubMed]
  12. Hossain, M.B.; Brunton, N.P.; Patras, A.; Tiwari, B.; O’Donnell, C.P.; Martin-Diana, A.B. Optimization of ultrasound assisted extraction of antioxidant compounds from marjoram (Origanum majorana L.) using response surface methodology. Ultrason. Sonochem. 2012, 19, 582–590. [Google Scholar] [CrossRef] [Green Version]
  13. Martínez-Ramos, T.; Benedito-Fort, J.; Watson, N.J.; Ruiz-López, I.I.; Che-Galicia, G.; Corona-Jiménez, E. Effect of solvent composition and its interaction with ultrasonic energy on the ultrasound-assisted extraction of phenolic compounds from Mango peels (Mangifera indica L.). Food Bioprod. Process. 2020, 122, 41–54. [Google Scholar] [CrossRef]
  14. Kulkarni, V.M.; Rathod, V.K. Mapping of an ultrasonic bath for ultrasound assisted extraction of mangiferin from Mangifera indica leaves. Ultrason. Sonochem. 2014, 21, 606–611. [Google Scholar] [CrossRef] [PubMed]
  15. Baqueiro-Peña, I.; Guerrero-Beltrán, J. Physicochemical and antioxidant characterization of Justicia spicigera. Food Chem. 2017, 218, 305–312. [Google Scholar] [CrossRef] [PubMed]
  16. Safdar, M.N.; Kausar, T.; Nadeem, M. Comparison of Ultrasound and Maceration Techniques for the Extraction of Polyphenols from the Mango Peel. J. Food Process. Preserv. 2017, 41, 1–13. [Google Scholar] [CrossRef]
  17. Prior, R.L.; Wu, X.; Schaich, K. Standardized methods for the determination of antioxidant capacity and phenolics in foods and dietary supplements. J. Agric. Food Chem. 2005, 53, 4290–4302. [Google Scholar] [CrossRef]
  18. Zhishen, J.; Mengcheng, T.; Jianming, W. The determination of flavonoid contents in mulberry and their scavenging effects on superoxide radicals. Food Chem. 1999, 64, 555–559. [Google Scholar] [CrossRef]
  19. Durazzo, A. Study aproach of antioxidant properties in foods: Update and considerations. Foods 2017, 6, 17. [Google Scholar] [CrossRef] [Green Version]
  20. Apak, R. Current Issues in Antioxidant Measurement. J. Agric. Food Chem. 2019, 67, 9187–9202. [Google Scholar] [CrossRef]
  21. Butkhup, L.; Samappito, W.; Samappito, S. Phenolic composition and antioxidant activity of white mulberry (Morus alba L.) fruits. Int. J. Food Sci. Technol. 2013, 48, 934–940. [Google Scholar] [CrossRef]
  22. Miller, N.J.; Rice-Evans, C.; Davies, M.J.; Gopinathan, V.; Milner, A. A Novel Method for Measuring Antioxidant Capacity and its Application to Monitoring the Antioxidant Status in Premature Neonates. Clin. Sci. 1993, 84, 407–412. [Google Scholar] [CrossRef] [Green Version]
  23. Fu, L.; Xu, B.T.; Gan, R.Y.; Zhang, Y.; Xu, X.R.; Xia, E.Q. Total Phenolic Contents and Antioxidant Capacities of Herbal and Tea Infusions. Int. J. Mol. Sci. 2011, 12, 2112–2124. [Google Scholar] [CrossRef] [Green Version]
  24. Brand-Williams, W.; Cuvelier, M.E.; Berset, C. Use of a Free Radical Method to Evaluate Antioxidant Activity. LWT-Food Sci. Technol. 1995, 28, 25–30. [Google Scholar] [CrossRef]
  25. Morales, M.; Zapata, K.; Sagaste, C.A.; Angulo, A.A.; Rojano, B. Optimization of the ultrasound-assisted extraction of polyphenol, mangiferin, and its antioxidant expression in mango peel (Mangifera indica) using response surface methodology. Acta Sci. Pol. Technol. Aliment. 2020, 19, 5–14. [Google Scholar]
  26. Jirasuteeruk, C.; Theerakulkait, C. Ultrasound-assisted extraction of phenolic compounds from mango (Mangifera indica cv. Chok Anan) peel and its inhibitory effect on enzymatic browning of potato puree. Food Technol. Biotechnol. 2019, 57, 350–357. [Google Scholar] [CrossRef]
  27. Torres-León, C.; Rojas, R.; Contreras-Esquivel, J.C.; Serna-Cock, L.; Belmares-Cerda, R.E.; Aguilar, C.N. Mango seed: Functional and nutritional properties. Trends Food Sci. Technol. 2016, 55, 109–117. [Google Scholar] [CrossRef]
  28. Tobón-Arroyave, N.C. Extracción Asistida por Ultrasonido de Compuestos Fenólicos de la Pulpa de Café (Coffea arabica L.) Variedad Castillo. Bachelors thesis, Facultad de ingenierías, Corporación Universitaria Lasallista, Caldas, Antioquia, Colobia, 2015. [Google Scholar]
  29. Qian, J.Y.; Liu, D.; Huang, A.G. The efficiency of flavonoids in polar extracts of Lycium chinense Mill fruits as free radical scavenger. Food Chem. 2004, 87, 283–288. [Google Scholar] [CrossRef]
  30. Velderrain-Rodríguez, G.; Torres-Moreno, H.; Villegas-Ochoa, M.; Ayala-Zavala, J.; Robles-Zepeda, R.; Wall-Medrano, A. Gallic Acid Content and an Antioxidant Mechanism Are Responsible for the Antiproliferative Activity of ‘Ataulfo’ Mango Peel on LS180 Cells. Molecules 2018, 23, 695. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Gorinstein, S.; Martín-Belloso, O.; Park, Y.S.; Haruenkit, R.; Lojek, A.; Íž, M. Comparison of some biochemical characteristics of different citrus fruits. Food Chem. 2001, 74, 309–315. [Google Scholar] [CrossRef]
  32. Chung, K.T.; Wei, C.I.; Johnson, M.G. Are tannins a double-edged sword in biology and health? Trends Food Sci. Technol. 2002, 9, 168–175. [Google Scholar] [CrossRef]
  33. Pitchaon, M. Antioxidant capacity of extracts and fractions from mango (Mangifera indica Linn.) seed kernels. Int. Food Res. J. 2011, 18, 523–528. [Google Scholar]
  34. Ajila, C.M.; Naidu, K.A.; Bhat, S.G.; Rao, U.J.S.P. Bioactive compounds and antioxidant potential of mango peel extract. Food Chem. 2007, 105, 982–988. [Google Scholar] [CrossRef]
  35. Lundstedt, T.; Seifert, E.; Abramo, L.; Thelin, B.; Nyström, Å.; Pettersen, J. Experimental design and optimization. Chemom. Intell. Lab. Syst. 1998, 42, 3–40. [Google Scholar] [CrossRef]
  36. Verma, R.; Pavithra, P.; Sreevidya, N. Antibacterial and antioxidant activity of methanol extract of Evolvulus nummularius. Indian J. Pharmacol. 2009, 41, 233–236. [Google Scholar] [CrossRef] [Green Version]
  37. Prakash Maran, J.; Manikandan, S.; Vigna Nivetha, C.; Dinesh, R. Ultrasound assisted extraction of bioactive compounds from Nephelium lappaceum L. fruit peel using central composite face centered response surface design. Arab. J. Chem. 2017, 10, 1145–1157. [Google Scholar] [CrossRef] [Green Version]
  38. Lim, K.J.A.; Cabajar, A.A.; Lobarbio, C.F.Y.; Taboada, E.B.; Lacks, D.J. Extraction of bioactive compounds from mango (Mangifera indica L. var. Carabao) seed kernel with ethanol–water binary solvent systems. J. Food Sci. Technol. 2019, 56, 2536–2544. [Google Scholar] [CrossRef]
  39. Pérez-Nájera, V.C.; Lugo-Cervantes, E.C.; Gutiérrez-Lomel, M.; Del-Toro-Sánchez, C.L. Extracción de compuestos fenólicos de la cáscara de lima (citrus limetta risso) y determinación de su actividad antioxidante. Biotecnia 2013, 15, 18–22. [Google Scholar] [CrossRef] [Green Version]
  40. Taiz, L.; Zeiger, E. Fisiología vegetal. Universitat Jaume I. 2006, 3, 1338. [Google Scholar]
  41. Berardini, N.; Knödler, M.; Schieber, A.; Carle, R. Utilization of mango peels as a source of pectin and polyphenolics. Innov. Food Sci. Emerg. Technol. 2005, 6, 442–452. [Google Scholar] [CrossRef]
  42. Yu, L.; Haley, S.; Perret, J.; Harris, M.; Wilson, J.; Qian, M. Free radical scavenging properties of wheat extracts. J. Agric. Food Chem. 2002, 50, 1619–1624. [Google Scholar] [CrossRef] [PubMed]
  43. Do, Q.D.; Angkawijaya, A.E.; Tran-Nguyen, P.L.; Huynh, L.H.; Soetaredjo, F.E.; Ismadji, S. Effect of extraction solvent on total phenol content, total flavonoid content, and antioxidant activity of Limnophila aromatica. J. Food Drug Anal. 2014, 22, 296–302. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Spigno, G.; Tramelli, L.; De Faveri, D.M. Effects of extraction time, temperature and solvent on concentration and antioxidant activity of grape marc phenolics. J. Food Eng. 2007, 81, 200–208. [Google Scholar] [CrossRef]
  45. Nepote, V.; Grosso, N.R.; Guzmán, C.A.; Guzmán, G. Optimization of extraction of phenolic antioxidants from peanut skins. J. Sci. Food Agric. 2005, 85, 33–38. [Google Scholar] [CrossRef]
  46. Rivas-Pérez, B.N.; Colina, J.C. Compuestos fenólicos y actividad antioxidante en extractos de cuatro especies de orégano. Rev. Técnica de la Fac. de Ing. Univ. del Zulia 2017, 40, 134–142. [Google Scholar]
  47. Bochi, V.C.; Barcia, M.T.; Rodrigues, D.; Speroni, C.S.; Giusti, M.M.; Godoy, H.T. Polyphenol extraction optimisation from Ceylon gooseberry (Dovyalis hebecarpa) pulp. Food Chem. 2014, 164, 347–354. [Google Scholar] [CrossRef] [Green Version]
  48. Trabelsi, N.; Megdiche, W.; Ksouri, R.; Falleh, H.; Oueslati, S.; Soumaya, B. Solvent effects on phenolic contents and biological activities of the halophyte Limoniastrum monopetalum leaves. LWT-Food Sci. Technol. 2010, 43, 632–639. [Google Scholar] [CrossRef]
  49. Bychkov, A.L.; Ryabchikova, E.I.; Korolev, K.G.; Lomovsky, O.I. Ultrastructural changes of cell walls under intense mechanical treatment of selective plant raw material. Biomass Bioenerg. 2012, 47, 260–267. [Google Scholar] [CrossRef]
  50. Medina-Torres, N.; Ayora-Talavera, T.; Espinosa-Andrews, H.; Sánchez-Contreras, A.; Pacheco, N. Ultrasound Assisted Extraction for the Recovery of Phenolic Compounds from Vegetable Sources. Agronomy 2017, 7, 47. [Google Scholar] [CrossRef]
  51. Şahin, S.; Şamli, R. Optimization of olive leaf extract obtained by ultrasound-assisted extraction with response surface methodology. Ultrason. Sonochem. 2013, 20, 595–602. [Google Scholar] [CrossRef]
  52. Tao, Y.; Wu, D.; Zhang, Q.A.; Sun, D.W. Ultrasound-assisted extraction of phenolics from wine lees: Modeling, optimization and stability of extracts during storage. Ultrason. Sonochem. 2014, 21, 706–715. [Google Scholar] [CrossRef]
  53. Arranz-Martínez, S. Compuestos Polifenólicos (Extraíbles y no Extraíbles) en Alimentos de la Dieta Española: Metodología para su Determinación e Identificación. Doctoral thesis, Facultad de Farmacia, Universidad Complutense de Madrid, Madrid, España, 2010. [Google Scholar]
  54. Zou, T.B.; Xia, E.Q.; He, T.P.; Huang, M.Y.; Jia, Q.; Li, H.W. Ultrasound-assisted extraction of mangiferin from mango (Mangifera indica L.) leaves using response surface methodology. Molecules 2014, 19, 1411–1421. [Google Scholar] [CrossRef]
  55. Barreira, J.C.M.; Ferreira, I.C.F.R.; Oliveira, M.B.P.O.; Pereira, J.A. Effects of different phenols extraction conditions on antioxidant activity of almond (prunus dulcis) fruits. J. Food Biochem. 2009, 3, 763–776. [Google Scholar] [CrossRef]
  56. Rostagno, M.A.; Palma, M.; Barroso, C.G. Ultrasound-assisted extraction of soy isoflavones. Anal. Chim. Act. 2007, 597, 265–272. [Google Scholar] [CrossRef]
  57. Ying, Z.; Han, X.; Li, J. Ultrasound-assisted extraction of polysaccharides from mulberry leaves. Food Chem. 2011, 127, 1273–1279. [Google Scholar] [CrossRef] [PubMed]
  58. Vilkhu, K.; Mawson, R.; Simons, L.; Bates, D. Applications and opportunities for ultrasound assisted extraction in the food industry. A review. Innov. Food Sci. Emerg. Technol. 2008, 9, 161–169. [Google Scholar] [CrossRef]
  59. Toma, M.; Vinatoru, M.; Paniwnyk, L.; Mason, T.J. Investigation of the effects of ultrasound on vegetal tissues during solvent extraction. Ultrason. Sonochem. 2001, 8, 137–142. [Google Scholar] [CrossRef]
Figure 1. Graphical scheme of sampling procedures.
Figure 1. Graphical scheme of sampling procedures.
Separations 08 00094 g001
Figure 2. Response surface of total polyphenols (left) and total flavonoids (right). (a,d) peel; (b,e) endocarp and (c,f) kernel.
Figure 2. Response surface of total polyphenols (left) and total flavonoids (right). (a,d) peel; (b,e) endocarp and (c,f) kernel.
Separations 08 00094 g002
Figure 3. Response surface of percent inhibition (ABTS) (left) and DPPH (right). (a,d) peel; (b) endocarp and (c,e) kernel.
Figure 3. Response surface of percent inhibition (ABTS) (left) and DPPH (right). (a,d) peel; (b) endocarp and (c,e) kernel.
Separations 08 00094 g003
Figure 4. Standardized residues vs. fitted values plot for polyphenols (left) and flavonoids (right) contents; (a,d) peel; (b,e) endocarp and (c,f) kernel.
Figure 4. Standardized residues vs. fitted values plot for polyphenols (left) and flavonoids (right) contents; (a,d) peel; (b,e) endocarp and (c,f) kernel.
Separations 08 00094 g004
Figure 5. Standardized residues vs. fitted values plot for; ABTS (left) and DPPH (right) antioxidant capacities, (a,d) peel; (b,e) endocarp and (c,f) kernel.
Figure 5. Standardized residues vs. fitted values plot for; ABTS (left) and DPPH (right) antioxidant capacities, (a,d) peel; (b,e) endocarp and (c,f) kernel.
Separations 08 00094 g005
Table 1. Quantification of bioactive compounds and antioxidant activities in mango residues.
Table 1. Quantification of bioactive compounds and antioxidant activities in mango residues.
n°Solvent RelationAmplitudeSonication TimeTotalTotalABTSDPPH
EthanolPolyphenolsFlavonoids
(%)(%)(min)mg GAE/100 gmg QE/100 gInhibition (%)Inhibition (%)
PeelC100--1261 ± 0.03573 ± 0.0166.7 ± 0.0055.37 ± 0.07
10 (−1)30 (−1)10 (−1)320.1 ±7 0.00254.5 ± 2.1252.7 ± 5.8013.6 ± 0.54
2100 (1)30 (−1)10 (−1)521.1 ±99.70623.2 ± 6.7182.2 ± 8.3542.3 ± 6.57
30 (−1)90 (1)10 (−1)203.1 ± 10.60223.5 ± 3.5354.1 ± 5.0514.4 ± 1.49
4100 (1)90 (1)10 (−1)561.6 ± 0.00626.4 ± 110.170.1 ± 0.2044.1 ± 2.19
50 (−1)30 (−1)30 (1)390.6 ± 76.36387.2 ± 44.1943.3 ± 19.2120.6 ± 0.91
6100 (1)30 (−1)30 (1)843.6 ± 16.97604.7 ± 26.5173.0 ± 2.0259.1 ± 4.45
70 (−1)90 (1)30 (1)366.6 ± 42.42438.5 ± 106.037.2 ± 2.3423.3 ± 2.88
8100 (1)90 (1)30 (1)752.1 ± 2.12704.5 ± 5.6556.3 ± 2.3049.9 ± 8.47
950 (0)60 (0)20 (0)1485.6 ± 50.91916 ± 98.9960.0 ± 6.9778.4 ± 0.91
1050 (0)60 (0)20 (0)1814.1 ± 258.191178.5 ± 67.1782.1 ± 4.4783.2 ± 0.54
1150 (0)60 (0)20 (0)1515.6 ± 76.361236 ± 381.8351.8 ± 7.6963.4 ± 23.55
EndocarpC100--183 ± 0.0053 ± 0.012.19 ± 0.000.75 ± 0.01
10 (−1)30 (−1)10 (−1)125.3 ± 15.90616.1 ± 19.6410.5 ± 0.330.58 ± 0.25
2100 (1)30 (−1)10 (−1)143.2 ± 0.75348.0 ± 25.539.7 ± 0.330.19 ± 0.09
30 (−1)90 (1)10 (−1)178.2 ± 1.26298.0 ± 9.8210.8 ± 0.000.16 ± 0.07
4100 (1)90 (1)10 (−1)151.4 ± 2.27402.2 ± 11.789.1 ± 0.000.99 ± 1.34
50 (−1)30 (−1)30 (1)213.2 ± 4.79299.4 ± 3.929.5 ± 0.310.79 ± 0.87
6100 (1)30 (−1)30 (1)200.2 ± 0.50381.3 ± 9.8210.1 ± 0.751.06 ± 0.03
70 (−1)90 (1)30 (1)273.2 ± 0.75356.3 ± 25.5311.3 ± 0.330.99 ± 0.34
8100 (1)90 (1)30 (1)122.3 ± 0.00463.3 ± 0.008.5 ± 0.201.27 ± 1.13
950 (0)60 (0)20 (0)469.8 ± 2.52386.9 ± 5.8914.4 ± 0.151.46 ± 0.34
1050 (0)60 (0)20 (0)469.5 ± 7.57580 ± 3.9213.3 ± 0.440.33 ± 0.28
1150 (0)60 (0)20 (0)385.3 ± 49.24400.8 ± 1.9612.3 ± 0.020.68 ± 0.40
KernelC100--670.8 ± 0.03428 ± 0.0053.94 ± 0.0133.74 ± 0.01
10 (−1)30 (−1)10 (−1)345.2 ± 22.72781.3 ± 9.8249.5 ± 2.8516.2 ± 0.00
2100 (1)30 (−1)10 (−1)252 ± 30.30548.0 ± 9.8263.7 ± 0.0020.5 ± 0.50
30 (−1)90 (1)10 (−1)292.7 ± 12.12455 ± 82.4971.2 ± 1.1626.9 ± 1.65
4100 (1)90 (1)10 (−1)362.3 ± 4.54774.4 ± 0.0062.6 ± 0.0022.7 ± 1.27
50 (−1)30 (−1)30 (1)359.1 ± 12.12816.1 ± 15.7169.8 ± 0.5731.6 ± 1.65
6100 (1)30 (−1)30 (1)307.7 ± 39.39830 ± 1.6074.6 ± 0.0030.0 ± 0.38
70 (−1)90 (1)30 (1)372 ± 33.33585.5 ± 0.0083.7 ± 0.9339.0 ± 0.00
8100 (1)90 (1)30 (1)315.2 ± 1.51778.6 ± 17.6760.9 ± 0.5721.3 ± 0.63
950 (0)60 (0)20 (0)672 ± 15.15860.5 ± 1.1363.8 ± 0.0055.8 ± 1.65
1050 (0)60 (0)20 (0)618.4 ± 3.03886.9 ± 1.9661.9 ± 0.5157.5 ± 0.38
1150 (0)60 (0)20 (0)418.0 ± 4.54868.8 ± 27.4965.3 ± 0.8359.3 ± 0.00
The experiments were replicated, and it is reported the mean ± standard deviation.
Table 2. Uncoded coefficients, level of significance and goodness-of-fit statistic. Parameters for fitted models.
Table 2. Uncoded coefficients, level of significance and goodness-of-fit statistic. Parameters for fitted models.
ResiduesModel VariablesTotal Polyphenols
mg GAE/100 g
Total Flavonoids
mg QE/100 g
ABTS Inhibition
(%)
DPPH Inhibition
(%)
PEELβ36722454.810.1
β1−0.604.310.3700.202
β2−2.73−1.200.0860.000
β31.24.6−0.2810.310
β120.00450.0045−0.002500.00122
β130.182−0.079−0.00060.0081
β230.0770.069−0.00620.0015
β123−0.001870.000120.000024−0.000106
CP1110.2627.36.0241.61
S131.514152.58211.17119.34335
R20.9640.87840.68070.9125
R2adj0.9420.80360.48420.8587
R2pred0.9390.79810.28180.8442
ENDOCARPβ56.8102711.280.85
β10.323−7.16−0.0170−0.0163
β20.821−8.43−0.0070−0.0122
β34.21−25.21−0.0873−0.0052
β120.00030.09100.0000610.000303
β130.00790.26180.0013320.000629
β230.00600.31250.0012250.000516
β123−0.000777−0.00289−0.000021−0.00001
CP265.760.33.4240.065
S30.691361.05930.6552240.669933
R20.96570.7760.91850.2865
R2adj0.94460.63820.86840
R2pred0.94860.65330.84340
KERNELβ381951.226.742.42
β1−2.38−7.2670.28930.0966
β2−1.42−6.2380.42510.2053
β3−0.94−0.661.2030.849
β120.04120.12326−0.003382−0.000795
β130.06290.2170−0.00343−0.00108
β230.05450.0799−0.00642−0.00270
β123−0.00140−0.003113−0.000041−0.000063
CP243.7176−3.32031.515
S76.628126.37731.342191.33077
R20.78760.97920.98480.9955
R2adj0.65690.96630.97540.9927
R2pred0.66270.92540.95970.9896
The bold font is a factor or interaction with a significant effect at α of 0.05. Constant from β0: response mean values, β1: solvent relation, β2: amplitude, β3: sonication time and CP: central point, S: standard deviation.
Table 3. Quantification of mangiferin in different residues by ultrasound-assisted and maceration extractions.
Table 3. Quantification of mangiferin in different residues by ultrasound-assisted and maceration extractions.
ResidueControl
(Maceration 24 h)
(mg/g)
Ultrasound-Assisted Extraction
(mg/g)
Peel0150 ± 12.42
Seed00.025 ± 0.0002
Kernel00
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Borrás-Enríquez, A.J.; Reyes-Ventura, E.; Villanueva-Rodríguez, S.J.; Moreno-Vilet, L. Effect of Ultrasound-Assisted Extraction Parameters on Total Polyphenols and Its Antioxidant Activity from Mango Residues (Mangifera indica L. var. Manililla). Separations 2021, 8, 94. https://doi.org/10.3390/separations8070094

AMA Style

Borrás-Enríquez AJ, Reyes-Ventura E, Villanueva-Rodríguez SJ, Moreno-Vilet L. Effect of Ultrasound-Assisted Extraction Parameters on Total Polyphenols and Its Antioxidant Activity from Mango Residues (Mangifera indica L. var. Manililla). Separations. 2021; 8(7):94. https://doi.org/10.3390/separations8070094

Chicago/Turabian Style

Borrás-Enríquez, Anahí J., Elizabeth Reyes-Ventura, Socorro J. Villanueva-Rodríguez, and Lorena Moreno-Vilet. 2021. "Effect of Ultrasound-Assisted Extraction Parameters on Total Polyphenols and Its Antioxidant Activity from Mango Residues (Mangifera indica L. var. Manililla)" Separations 8, no. 7: 94. https://doi.org/10.3390/separations8070094

APA Style

Borrás-Enríquez, A. J., Reyes-Ventura, E., Villanueva-Rodríguez, S. J., & Moreno-Vilet, L. (2021). Effect of Ultrasound-Assisted Extraction Parameters on Total Polyphenols and Its Antioxidant Activity from Mango Residues (Mangifera indica L. var. Manililla). Separations, 8(7), 94. https://doi.org/10.3390/separations8070094

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop