Introduction

The Amazonas State has a wide variety of fruit species of economic and nutritional potential, although they remain little explored. Tucum (Astrocaryum aculeatum Meyer) is a palm three native to Brazil, whose geographical distribution covers several Brazilian states such as Amazonas, Acre, Rondônia, Roraima and Pará. Moreover, they can be also found in other South American countries such as Peru, Colombia (Costa et al. 2011; Lorenzi et al. 2010), Guyana and Venezuela (Lorenzi et al. 2010).

The tucum fruit has oval or spherical shape with yellowish-green epicarp. The mesocarp presents a fibrous oily aspect with yellow-orange shade (FAO 1986). Mesocarp composition has been well described and characterized by high caloric density, and high lipid, protein, fiber and β-carotene contents (FAO 1986; Jobim et al. 2014; Sagrillo et al. 2015). Studies about its epicarp characteristics remain scarce, possibly because these residues are little explored in the food chain.

Overall, tucum fruits have good acceptance in their distribution areas and present increasing demand in Manaus market (Amazonas State, Brazil). This fruit is basically consumed in-natura or stuffing sandwiches, and in the form of creams and ice creams (Yuyama et al. 2008).

Tucum commercialization is carried out with little, or no technological processing, it actually consists of the fruit itself or, in some case, of its pulp (mesocarp). Its commercialization is also focused on popular markets and/or on strategic sales-points on the streets all year long (Costa et al. 2011).

According to Didonet (2012), tucum trading generates large amounts of residues since it is mainly focused on mesocarp exploitation. For example, the amount of wastes (epicarp and mesocarp) produced due to tucum commercialization in free fairs in Manaus area between 2011 and 2012 reached 268.5 tons. Besides the generated residues, the lack of adequate conditions for tucum commercialization also leads to high and recurrent losses (Didonet and Ferraz 2014). The shelf life of Astrocaryum aculetaum Meyer is short, 3–4 days; therefore, the specie is highly perishable (FAO 1986). Thus, new viable alternatives for tucum residue use become an important way to avoid waste and environmental issues (Manzato et al. 2017).

Thus, drying is one of the oldest methods applied to food products preservation after harvest, because it provides more stability to the product through undesirable-microorganism proliferation prevention (McMinn and Magee 1999) and consequently increases product shelf-life. However, since drying is known as a complex process of coupled heat and mass transfer, the drying kinetic studies and the application of mathematical models to describe drying experimental data achieves great practical importance to estimate relevant parameters such as: drying time, mass and thermal diffusivity coefficients, energy consumption, among others, that are required to develop new food processes including products and dryers. In this context, semitheoretical and empirical thin-layer drying models have been extensively applied to foods subjected to drying (Onwude et al. 2016) however they are limited to imposed drying conditions.

Accordingly, the aim of the present study was to assess the drying kinetics of tucum fruits as a strategy to increase their shelf life by preserving their physicochemical, vitamin C and carotenoid contents, as well as to consequently add value to their productive chain.

Materials and methods

Materials

The experiments were conducted with Tucum fruits (A. aculeatum Meyer) purchased at Manaus markets (Amazonas State, Brazil). The fruits were selected from batches presenting different ripeness degrees. All chemicals and standards were purchased at Sigma-Aldrich.

Fruit pre-processing

The fruits were grouped in three categories according to peel color and by taking into consideration each color as equivalent to the fruit’s ripening degree: group 1, G1 (lower yellow/red intensity) green fruits; group 2, G2 (intermediate yellow/red intensity) intermediate ripening stage; and group 3, G3 (greater yellow/red color intensity) ripe fruits. Each group comprised 20 fruits.

Epicarp and mesocarp samples were manually separated from the fruit and placed in metalized plastic bags labelled with the recorded sample mass; they were stored in a freezer until the analysis and the drying procedure were carried out.

Physicochemical features

Morphometric aspects and fruit pulp yield

The morphometric aspects were assessed with a digital caliper based on measurements applied to the longitudinal and transverse diameters of the fruits. The longitudinal diameter was measured from the apex at the basis of the fruit, whereas the transverse diameter was recorded from the point recording the largest diameter in the fruit.

Pulp mass and its fractions (epicarp, mesocarp and seed) were weighed on analytical scale after the Tucum fruits were peeled/pulped. Yield (%) was set according to the mass of each fruit fraction and to the mass of the whole fruit (Eq. 1).

$$ Yield\, \left( \% \right) = \frac{\text{Mass of fruit fraction}}{\text{Mass of the whole fruit}} \times 100 $$
(1)

Color analysis

Epicarp and mesocarp color analysis was performed using Hunter Lab Colorimeter, MiniScan Spectrophotometer XE Plus (Hunter Lab, Reston, VA). Color measurements were expressed through the Hunter values L*, a* and b* of the 10° standard observer and the D65 standard illuminant. The L* value, which indicated the lightness measurement, ranged from 0 (black) to 100 (white), the a* value ranged from − 100 (greenness) to + 100 (redness), the b* value ranged from − 100 (blueness) to +100 (yellowness) (Hutchings, 1999). The Hue angle was calculated through Eq. 2:

$$ H^\circ = tan^{ - 1} \left( {\frac{{b^{*} }}{{a^{*} }}} \right) $$
(2)

wherein, 0° or 360° correspond to red–purple, 90° to yellow, 180° to green and 270° to blue (Mcguire 1992).

Composition

Samples were analyzed in triplicate. The moisture content was determined through oven drying at 105 °C until reaching constant weight. The ash content was determined using muffle incineration at 550 °C. Proteins were calculated based on total nitrogen content according to Kjeldahl method (Kjeldahl 1883), considering a conversion by means of factor 5.75, which refers to proteins of vegetal origin. The lipid content was recorded through cold extraction by using chloroform, methanol and water as solvents, according to the ratio 1:2:0.8 v/v, respectively (Bligh and Dyer 1959). Carbohydrate contents were inferred by the 100%-difference in relation to other fractions.

Acidity and pH

The pH was measured using a previously calibrated Bel Engineering W3B digital potentiometer. Total acidity was determined through the AOAC Official Method 942.15 Acidity (Titratable) of Fruit Products by using 0.1 N NaOH (AOAC 1998).

Water activity

The water activity of the fruit samples was measured in triplicate, in Aqualab analyzer, model DEW, 4TEV, Decagon (USA).

Fatty acid profile

Lipids found through extraction carried out by Bligh and Dyer (1959) were converted into FAMEs according to the methodology described by the AOAC Official Method 996.06 (AOAC 2001). The esterified samples were injected into a Shimadzu GC/MS-QP 5050A gas chromatograph, which contained a DB-5MS capillary column (0.25 μm thick, diameter 0.25 mm) and FID. Helium was used as carrier gas. The GC operating conditions were: entrained gas flow into the column: 1.7 mL/min; Detector temperature: 280 °C, Injector temperature: 250 °C, Column temperature: 55 °C—1 min, 55–180 °C (15 °C/min), 180–205 °C (1 °C/min), 205–280 °C (20 °C/min) for 5 min; injected volume: 1.0 μL.

Vitamin C and carotenoid content

Vitamin C was determined through the AOAC Method 967.21 (AOAC 2002); whereas, the carotenoid content in the samples, before and after drying, was analyzed through the methodology proposed by Wilberg and Rodriguez-Amaya (1995), with modifications. Quantification of β-carotene content was set through the β-carotene standard-solution calibration curves, at 450 nm, generated in SHIMADZU spectrophotometer, model UV-mini 1240. Equation (3) suggested by Rodriguez-Amaya (2001) was used to calculate the retained carotenoid contents after drying:

$$ Carotenoid\, retention = \frac{{{\text{Carotenoid content per g of processed fruit }}\left( {\text{on dry basis}} \right)}}{{{\text{Carotenoid content per g of fresh fruit }}\left( {\text{on dry basis}} \right)}} \times 100 $$
(3)

The retained carotenoids (%) and Vitamin C contents of in-natura and dried fruits were determined at the end experiment.

Drying Procedure

The drying stage in tucum samples was achieved in convective fixed bed dryer (Fig. 1) at different drying temperatures (50, 60 and 70 °C), by taking into consideration the groups previously defined as G1, G2 and G3.

Fig. 1
figure 1

Drying experimental setup: 1) blower, 2) air flow control valve, 3) cooler, 4) electrical heater, 5) temperature sensors, 6) perforated basket, 7) drying chamber, 8) PID temperature controller

Drying kinetic and mathematical modeling of the drying time

The drying kinetic was achieved through the gravimetric method. Samples were withdrawn from the drying oven at regular intervals (10 min) in order to determine their moisture content. The experiments were performed in triplicate and the moisture content of all samples was determined on a dry basis (db). The moisture ratio (XR) of samples during the drying experiments was calculated through Eq. (4):

$$ XR = \frac{{X_{i} - X_{e} }}{{X_{0} - X_{e} }} $$
(4)

wherein, XR is the adimensional moisture content ratio; and X0, Xe, Xi are the initial, equilibrium, and moisture contents at different drying times on a dry basis (db), respectively.

Three semi theoretical models (Newton, Page and Henderson/Pabis—Eqs. 57, respectively) were tested to fit the experimental data recorded during tucum epicarp/mesocarp drying. These models have been classically used in thin-layer drying.

$$ XR = e^{ - kt} $$
(5)
$$ XR = e^{{ - kt^{n} }} $$
(6)
$$ XR = ae^{ - kt} $$
(7)

wherein, t is drying time (h); and a, k and n are the constant parameters, respectively.

Statistical analysis

The morphometric results were subjected to analysis of variance (ANOVA) followed by Tukey test at 95% confidence level (p < 0.05). Centesimal composition, pH, acid index and carotenoid data were expressed through the mean of the triplicate and through their respective standard deviation values.

Regression analyses were carried out to adjust the kinetic models using the STATISTICA 8.0 software according to the Quasi-Newton estimation and least squares methodologies at convergence criterion 0.0001. The best model was selected according to the highest correlation coefficient (R2) recorded between the observed and predicted values (Eq. 8) and by minimizing the Chi squared (χ2) as defined by Eq. (9) (Akpinar 2008; Kirmaci et al. 2008; Kaleta and Górnicki 2010):

$$ R^{2} = \frac{Explained \;variation }{Total\; variation} = 1 - \frac{RSS}{TSS} $$
(8)
$$ \chi^{2} = \mathop \sum \limits_{i = 1}^{n} \frac{{\left( {XR_{exp} - XR_{pre} } \right)^{2} }}{{\sigma^{2} }} $$
(9)

wherein, RSS and TSS are the residual and total sum of squares, or the sum of square error, respectively; XRexp and XRpre are the experimental and predicted dimensionless moisture ratios; n is the number of observations; and σ is the standard deviation.

Results and discussion

Fruit morphometric aspects

Morphometric measurement results are shown in Table 1. Fruits presented general mean 54 mm of longitudinal diameter (DL), 46 mm of transverse diameter (DT) and 61 g of fruit mass (MF). These parameters showed different mean values among the three analyzed groups, as well as higher DL, DT and MF values in G3 fruits, which were followed by the G2 and G1 fruits. Fruits had similar mean shape index regardless of the group; DL/DT between 1.17 and 1.19 indicates slightly oblong shape.

Table 1 Morphometric properties of tucum fruits in each defined group

Fruit fractions used to measure total mass comprised 18.61% mesocarp, 11% epicarp and 70% seed. Approximately 5.5 kg of fruit was required to obtain 1 kg of pulp (mesocarp), or approximately 90 units. Moussa and Kahn (1997) also found similar mesocarp percentage (21.9% ± 4.1). This yield can also be compared to acai (Euterpe precatoria Mart.), which is another fruit of economic interest, whose epicarp and mesocarp record 33% of fruit mass (Yuyama et al. 2011).

The G1 fruits, although smaller, presented mesocarp mass and thickness similar to that of larger fruits, when yield was assessed per group. They recorded smaller seed percentage and it resulted in higher mean mesocarp yield (24%). The G1 fruits yield was followed by G3 (20%) and G2 (15%) fruits yield. Tucum production is almost exclusively extractive and, consequently, the fruits follow different size patterns that result in great pulp-yield variability. Moreover, different edaphoclimatic conditions, as well as season and harvest conditions, are preponderant factors to attain fruits of homogeneous quality features (Schroth et al. 2004).

Tucum fruit color analysis

The epicarp color analyses was carried out by measuring the exposed surfaces (ES) and the surfaces non-exposed to sun light (NES). Better homogeneity was observed in fruits in G1 through different measurements of parts exposed or not to sun light in all analyzed chromatic coordinates. Overall, fruits presented positive-value chromatic parameters in a* and b*, thus indicating red and yellow shades, respectively. The b* values were more expressive than the a* values, and it influenced the totality (Hue) of observed yellow-orange.

Chromatic parameter intensity varied in the groups, it presented more evident differences between G1 and G3 fruits. Regardless of the side exposed to sun light, G1 fruits recorded higher Hue values and lower L*, a* and b* values; in other words, they were less orange and darker than fruits in G3. Fruits in G2, in their turn, presented intermediate brightness (L*) and yellow shade (b*).

Although fruit peel color is a quite-relative criterion, some authors have correlated the color evolution aspects to fruit ripening parameters. Ferrer et al. (2005) assessed the color evolution in peaches and found increased linear a* according to ripening stage, and it is explained by chlorophyll loss. There was b* increase during the ripening period, as well as b* decrease during the climacteric period, fact that indicates the beginning of the senescence-like phenomena. According to these authors, although Hue is not a good ripening parameter, results have shown that it linearly diminished with time and was correlated to all the ripening parameters.

The experimentally determined color and morphological features presented significant differences at confidence level 95% (p < 0.05) and, consequently, it allowed validating the fruit categories G1, G2 and G3 adopted in the present study.

Physicochemical characteristics

Tucum fruit physicochemical properties are shown in Table 2. The nutritional value of these fruits was similar to, or even higher than, the reported levels of acknowledged food sources, when they were compared to other products. Protein content, for instance, was similar to that of quinoa (Chenopodium quinoa Willd.) (Nowak et al. 2016), although tucum (A. aculeatum Meyer) did not present all the essential amino acids, since it just comprised cysteine, tyrosine and histidine as limiting amino acids (Hall et al. 1980). In addition, the herein recorded carotenoid results were similar to those found in Moranga squash (Cucurbita pepo) and approximately two times higher than those recorded in raw carrot (Daucus carota) (Rodriguez-Amaya et al. 2008). Carotenoids are bioactive substances that have beneficial effects on human health (Rodriguez-Amaya 2001). β-carotene is the major vitamin A precursor among carotenoids. Moreover, its biological functions include prevention against certain cancer types and against cardiovascular diseases (Santos et al. 2013).

Table 2 Physicochemical characterization of tucum fruits by taking into consideration the defined tucum groups

With regard to physicochemical composition, the lowest lipid content and highest carbohydrate content were identified in G1 group. This behavior may derive from the possible influence from fruit ripening stage, from the lesser-orange epicarp, or even from differences explained by the extractive character of tucum production, which leads to fruits presenting different patterns. In addition, the large number of distribution regions, as well as the inherent characteristics of its progeny, may explain the observed differences.

The fatty acid profile showed high oleic acid levels in oils extracted from the pulp and peel. The following fatty acids were found in the pulp oil: lauric (0.8%), myristic (1.0%), palmitic (13.8%), stearic (8.6%), oleic (62.0%) and linoleic (13.8%); whereas, the peel oil showed: myristic (0.9%), palmitic (4.6%), stearic (13.8%), oleic (76.0%) and linoleic (4.6%) fatty acids. Mambrim and Barrera-Arellano (1997) assessed the mesocarp oil from another species (Astrocaryum vulgare) and identified higher amount of fatty acids and lower percentage of unsaturated fatty acids (73.4%). In addition, the percentage of saturated fatty acids presenting atherogenic characteristics (22.9%) was higher in their study than in the present experiment (15.6%). These differences may also due to divergence between the studied species, to progeny characteristic or even to particularities of the analyzed epicarp fraction. Unsaturated fatty acid C18: 1 prevailed in the fatty acid profile of both studied fractions, mesocarp and epicarp. Furthermore, it is worth highlighting that the epicarp had lower atherogenic fatty acid composition than the mesocarp.

The fat consumption particularly performed by saturated fatty acids (SFA) is associated with cardiovascular risk factors (Santos et al. 2013); for example, lauric fatty acids (C12: 0), followed by myristic (C14: 0) and palmitic (C16: 0) acids, most significantly contribute to LDL-c increase and HDL-c decrease. On the other hand, stearic acids (C18: 0) are reported to have effect on the moderate LDL-c reduction and on the slight HDL-c increase. Diets rich in monounsaturated fatty acids (MUFA), in their turn, promote HDL-c increase and triglycerides decrease, albeit at small levels. At the same time, there is evidence that MUFA consumption leads to decreased LDL-c susceptibility to oxidation, and it inhibits the atherogenic process. Other evidence associated with MUFA includes insulin resistance and endothelial function enhancement, and reduced cardiovascular risk. The linoleic acid (C18: 2) reduces the incidence of cardiovascular diseases; some studies suggest its action in reducing the risk of Diabetes Mellitus (Santos et al. 2013).

Drying kinetic of tucum fruits

The purpose of studying tucum fruit pulp (mesocarp) and peel (epicarp) concerns preservation and shelf life increase. Simultaneously, the present study aimed at verifying tucum peel properties after drying, by taking into consideration the future applications that add value to the tucum production chain. Thus, changes in Tucum (mesocarp and epicarp) moisture content due to drying time at 50, 60 and 70 °C, respectively, are shown in Fig. 2a, c. The moisture content exponentially decreased due to drying time in a typical drying curve. These data were used to set logarithmic mathematical models that were fitted at the temperature level employed in these processes. It was observed that the equilibrium moisture content was faster achieved at 70 °C.

Fig. 2
figure 2

Tucum drying curves as a function of the drying temperature: a rate according dimensionless moisture content according to mesocarp drying time; b drying to dimensionless mesocarp moisture content; c dimensionless epicarp moisture content according to drying time; d Drying rate according to dimensionless epicarp moisture content. Symbols: (filled square) Group G3 at 50 °C, (open square) Group G3 at 70 °C, (filled circle) G1 at 50 °C, (open circle) Group G1 at 70 °C, (open triangle) Group G2 at 60 °C

Figure 2b, d illustrate the drying rate as a function of tucum mesocarp and epicarp moisture content ratio, respectively. Then, according to these results just the falling-rate drying period was observed for both cases. The shape of these drying curves depends on the structure of the material. Therefore, the drying rate is ruled by complex diffusion mechanisms of the moisture content (internal liquid or vapor flow), which control the water transport from the center up to the surface of tucum fruit mesocarp and epicarp, respectively. In fact, since the structure of these fruits varies, drying kinetic modeling is an important tool to determine the parameters and coefficients affecting the drying time and adopted to attain dried products of adequate quality.

Similar results were observed by Siqueira (2014), who studied tucum (A. vulgare Mart) drying. Indeed, a single falling-rate drying period has been often observed during the convective drying of foods from several sources, e.g., pilchard (Crataegus spp.) (Aral and Beşe 2016) and Physalis fruits (Vásquez-Parra et al. 2013).

Mathematical models assessed to describe the tucum fruit drying process

Fitted mathematical models applied to tucum drying process at 50, 60 and 70 °C, as well as their respective parameters, are shown in Table 3. The quality of the fitted models adopted to describe this drying process was based on the coefficient of determination R2 and χ2 and, consequently, the Page model allowed the best fit of the experimental data.

Table 3 Parameter values of several tucum drying mathematical models

These models have been previously and satisfactory tested in food products. Sampaio et al. (2017) studied persimmon (Diospyros kaki Fuyu) mesocarp drying in fixed bed and found good drying-data adjustments to the Page model. Siqueira (2014) evaluated the epicarp and mesocarp drying in another tucum species (A. vulgare Mart) and recorded better adjustments through the Page, modified Page, Handerson and Pabis and Newton models.

Tucum fruit physicochemical characterization after drying

Table 4 shows the water activity (aw), moisture content, vitamin C and carotenoid content in tucum fruits epicarp and mesocarp before and after drying. The water activity results were higher than 0.916 in in-natura fruits; and it makes these fruits more prone to the proliferation of pathogenic microorganisms. Water activity reduced after drying, the recorded values were infeasible for the colonization of microorganisms such as bacteria, yeasts and molds, according to Barbosa-Canovas et al. (2003).

Table 4 Water activity, moisture content, vitamin C and β-carotenoid content of tucum (mesocarp and epicarp) in-natura and after the drying process at each drying temperature and defined tucum group

One of the aims for carrying out the present study was to evaluate carotenoids retention in tucum fruits after drying due to the important functional properties of these compounds. Carotenoids can be degraded due to the oxidation occurring during fruit processing and/or storage (Rodriguez-Amaya 2001). Results particularly evidenced carotenoid retention after dying, which ranged from 63 to 100% (Table 4). Therefore, the carotenoid content in dried tucum was preserved. Yuyama et al. (2008) observed discrete retention in β-carotene content (61%) after drying during tucum (A. aculeatum Meyer) mesocarp flour production. The observed differences can be explained by the different adopted experimental systems, i.e., their experiment was conducted at 60 °C for 72 h under hot air circulation; consequently, the fruits were subjected to a longer period of exposure to heat. However, the experiments performed in the present study were performed in convective fixed bed dryer (Fig. 1) for a much shorter drying time.

Similar to tucum carotenoid content, vitamin C content decreased under heat stress, since these compounds are highly unstable, thermolabile and tend to oxidize during the drying process. Mesocarp in-natura presents 19.29 mg of vitamin C/100 mL. This value is lower than in oranges from several species (around from 21 to 84 mg/100 mL), which are fruits known to have high vitamin C content (Couto and Canniatti-Brazaca 2010). However, tucum showed vitamin C content retention (Table 4) after drying comparable to that of in-natura fruits. Overall, the mesocarp showed little differences in vitamin C retention (around 30–40%) between different groups at the used temperatures (50, 60 and 70 °C) after drying. However, the epicarp did not show the same mesocarp pattern probably due to the heterogeneous pulp distribution in the peel resulting from the manual peeling procedure.

Conclusion

Tucum fruit processing through drying was attractive to increase the shelf life of this product, since the carotenoid and vitamin C contents were preserved at satisfactory levels.

The Page model showed the best fit to the experimental data among all the semi-theoretical mathematical models assessed to describe the tucum drying process. These results are important for tucum processing industry.