ORIGINAL ARTICLE

Combined dehydration of the pineapple for conservation

Deshidratación combinada de la piña para su conservación

Damisela Acea-del Sol *
Universidad de Cienfuegos, Cuba
Angel Lazaro Sanchez-Iznaga
Universidad Metropolitana de Ecuador, Ecuador

Combined dehydration of the pineapple for conservation

Revista Ciencias Técnicas Agropecuarias, vol. 29, no. 2, 2020

Universidad Agraria de La Habana

Received: 14 July 2019

Accepted: 13 March 2020

ABSTRACT: The objective of this work is to determine the influence of several osmotic solutions obtained through the process of combined dehydration of pineapple for its conservation, for which a methodology was developed from an experimental analysis and an evaluation of experts that made it possible to determine that The solution of Sucrose Syrup BD of all osmotic solutions (SO) better guaranteed the organoleptic properties of the fruit. Statistical analysis determined that of the three SOs that contributed most solute gains were Sucrose Syrup BD (66%), Honey B (64%) and Honey B reduced (63%) respectively, as well as the greatest weight loss for fruit slices it was from Honey C reduced (78%), Honey B and Honey A reduced by 76%. Finally, by means of a multiple linear regression analysis, it was possible to evaluate the influence of the variables (oBrix,% of Water, Temperature) of the Sacarosa BD Syrup on the weight of the fruit and obtain the model W e i g h t _ F r u i t B D = 793,779 + 13,5751 ° B r i x 11,4982 %   o f   W a t e r + 10,6665 T e m p e r a t u r e for a value of R2 of 0.75, indicating the correct fit of the model for the conditions evaluated in the study.

Keywords: Pineapple, combined dehydration, osmotic solutions, multiple linear regression, model.

RESUMEN: En el presente estudio se evaluó la influencia de varias soluciones osmóticas en el proceso de deshidratación combinada de la piña para su conservación. Se elaboró una metodología a partir de un análisis experimental y una evaluación de expertos que posibilitó determinar que la solución de Jarabe de Sacarosa BD de todas las soluciones osmóticas (SO) garantizaba en mejor medida las propiedades organolépticas de la fruta. El análisis estadístico determinó que de los tres SO que más ganancias de solutos aportaron fueron el Jarabe de Sacarosa BD (66%), Miel B (64%) y la Miel B rebajada (63%) respectivamente, así como la mayor pérdida de peso para las rodajas de frutas fue a partir de la Miel C rebajada (78%), la Miel B y Miel A rebajada con un 76%. Finalmente mediante un análisis de regresión lineal múltiple fue posible evaluar la influencia de las variables (oBrix,% de Agua, Temperatura) del Jarabe de Sacarosa BD en el peso de la fruta y obtener el modelo P e s o _ F r u t a B D = 793,779 + 13,5751 ° B r i x 11,4982 %   d e   A g u a + 10,6665 T e m p e r a t u r a . El valor de temperatura en la ecuación es para un valor de R2 de 0,75, lo que indica el ajuste correcto del modelo para las condiciones evaluadas en el estudio.

Palabras clave: Piña, deshidratación combinada, soluciones osmóticas, regresión lineal múltiple, modelo.

INTRODUCTION

Worldwide, part of the food produced by man for consumption is lost or wasted every year (Franco, 2016). In this sense, it has been calculated that in Europe and North America the losses have reached values of 95 to 115 kg.year-4, and it has been identified that the causes of such losses and waste in middle-income and high-income countries are due to consumer behavior and poor coordination among supply chain actors (González, 2015). Other studies have shown that many foods, with good conditions to be consumed by people, have had losses and waste that have reached figures close to 1,300 tons per year (González, 2018).

Fruits are one of the products that are part of the extensive list of those who have suffered losses and waste. They constitute an essential food group for our health and well-being, especially for their contribution of fiber, vitamins, minerals and substances with antioxidant action (vitamin C, vitamin E, β-carotene, lycopene, lutein, flavonoids, anthocyanin, etc.) (Rodríguez & Sánchez, 2017). They are considered the most perishable food, and the losses can be caused by various reasons, among which the post-harvest stage stands out, whose losses can reach values between 20 and 40% of total production in tropical and subtropical regions. This is due to the weather conditions that accelerate the ripening processes, causing the early deterioration of a large number of fruit varieties (Alcívar, 2016).

In this sense, the development of new products based on dehydrated fruit, of high quality, with a reasonable shelf life and attractive to the consumer, would be interesting to expand and diversify its availability in the market. Cuba is also affected by this problem and loses approximately 57% of its fruits every year. Harvest and post-harvest losses are around 30% of total production, and losses in the food distribution phase to domestic markets and cities reach 27% (Rodríguez, 2013).

In order to reduce the aforementioned losses, dehydration has been used as one of the technologies that allows preserving highly perishable foods, especially fruits, including pineapple (Ahmed et al., 2016; Alvis et al., 2016; Estrada et al., 2018).

Pineapple is part of the bromeliad family. The main cultivated types belong to the genus Ananas, which groups several species, including Ananas comosus, which is exploited for commercial purposes.

The first ten exporting countries of fresh pineapple, in tons, are: Costa Rica, the Philippines, Panama, Ecuador, Honduras, Mexico, the Ivory Coast, Ghana, Guatemala and Malaysia (Morales, 2018).

In Cuba, the production of pineapple (Ananas comosus) presents a growth trend, with Ciego de Ávila standing out as the main producer of this fruit (Morales, 2018). Its high demand in the market and its short duration have led to the search for alternatives to solve this problem. The correct conservation of the fruit is presented as a suitable trend for emerging economies and in particular for Cuba where economic development, social growth and environmental protection are some of the fundamental axes to achieve the long-awaited sustainable development.

Despite the studies carried out on this crop by García et al. (2013; 2015; 2018); Ahmed et al. (2016); Alvis et al. (2016); Soares et al. (2016); Estrada et al. (2018), it is required to study osmotic solutions obtained through the combined dehydration process of pineapple for its conservation, and determine which is the Sucrose Syrup solution of osmotic solutions (SO) that best guarantees the organoleptic properties of this fruit.

In this sense, the present work was carried out with the aim of determining the influence of various osmotic solutions obtained through the combined dehydration process of pineapple for its conservation.

METHODS

For the combined dehydration of pineapple, a methodology was developed, which is shown in the heuristic diagram of Figure 1. It begins with the realization of an experimental design where the variables to be controlled are selected in the experiments to be carried out, as well as the selection of the most suitable design that fits the objective of the study. The developed methodology incorporates an analysis by means of expert criteria, which will allow the final decision to be made as to which of the osmotic solutions maintains the best organoleptic properties of the fruit.

Heuristic Diagram.
FIGURE 1
Heuristic Diagram.
Source: Self-Made

Experiment Design

Due to the characteristics of the data, a single categorical factor design was chosen. It was of the fixed effects model type. This model is the simplest in the design of experiments, in which the response variable may depend on the influence of a single factor, so that the rest of the causes of variation are included in the experimental error. Where:

Osmotic solutions:

  1. MA: Honey Bee

  2. Honey A: Honey A from sugar cane

  3. Honey A_R: Honey A from lowered sugar cane

  4. Honey B: Honey B from sugar cane

  5. Honey B_R: Honey B from lowered sugar cane

  6. Honey C: Honey C from sugar cane

  7. Honey C_R: Honey C from lowered sugar cane

  8. JS_ABD: Sucrose Syrup (Direct White Sugar)

  9. JS_AC: Sucrose Syrup (Raw Sugar)

Response variables

  1. Pf: Fruit weight after the process (g)

  2. ° B x f :   Brix of the fruit after the process ( ° B x )

  3. T f   : Fruit temperature after the process ( )

Experimental Work

The experimental work for the combined dehydration process comprises several stages as shown in the following flow diagram (Figure 2). From the reception of the fruit to the solar drying stage as a complement to the process.

Flow diagram.
FIGURE 2
Flow diagram.
Source: Self-Made

Description of the Experimental Work

Expert Criteria

The expert criteria was applied in order to evaluate the relevance and feasibility of the organoleptic properties of the osmotically dehydrated pineapple slices in different osmotic solutions after the experimental stage was completed. For this, the experts must be selected to consult and analyze their level of competence.

Obtaining a Mathematical Model from Statistical Data

To obtain the statistical model, the correlation analysis was performed to observe the association between the variables. Pearson's correlation was used for data with normal distribution, while Spearman's correlation was used for the variables that did not follow a normal distribution. Then the multiple regression analysis was performed to obtain the model. In general, the variables that influence the final weight of the fruit, once it was dehydrated, are evaluated.

Dependent variable: Fruit weight

Independent variables:0Brix, % of water, temperature.

RESULTS AND DISCUSSION

The behavior of the 0Brix for the SO over time can be observed in Figure 3. A stability is observed for all cases after 6 hours of the experiment

Variation of oBrix in the SO over time.
FIGURE 3
Variation of oBrix in the SO over time.
Source: Self-Made.

According to the relationship between the dehydration time and the 0Brix in the case of solutions, those that showed the best performance were Honey C and Bee Honey. These solutions had a time to stability of 7 hours and 7:40 min, respectively, as well as a variation in the 0Brix of 13.64 0Bx and 14 0Bx, respectively. Superior results were achieved by (de Mendonça et al., 2016).

A summary for each SO in the time to stability, as well as in the variation of the 0Brix is presented in Table 1.

TABLE 1
Time to stability and 0Brix for each of the solutions
Time to stability and 0Brix for each of the solutions

The analysis of the relationship between the time of dehydration and the percent of water in the SO, as well as the influence of the temperature can be consulted in Figure 4. There, the behavior of percentages of SO water over time is presented, where a stability for a time similar to that of the 0Brix of Figure 3 is observed.

Percentage of SO water over time.
FIGURE 4
Percentage of SO water over time.
Source: self-made.

Figure 5 presents the fruit solids gains after the drying stage for each of the SO. The three SOs that contributed the most in solids were BD Syrup (66%), Honey B (64%) and Lowered Honey B (63%), respectively.

Gain of soluble solids from pineapple slices in each SO.
FIGURE 5
Gain of soluble solids from pineapple slices in each SO.
Source: self-made.

On the other hand, the greatest weight losses (Figure 6) were from Honey C reduced (78%), Honey B and Honey A reduced with 76%, respectively.

Weight loss of the fruit in each SO.
FIGURE 6
Weight loss of the fruit in each SO.
Source: self-made.

According to the experts’ assessments on the aspects evaluated, 11.1% consider all the organoleptic properties as very adequate, where 88.9% consider these as unsuitable. Only BD Sucrose Syrup of all SO guarantees the best organoleptic properties of the fruit.

There is a trend towards agreement among the experts in reference to the Kendall coefficient. Table 2 presents this coefficient using the contrast statistics.

TABLE 2
Kendall's W Contrast Statistics
Kendall's W Contrast Statistics

The Kendall coefficient resulted in 0.992, where there is a total trend towards agreement among the experts consulted.

Multiple Regression Analysis

The formulation of both dependent and independent variables for the study was as follows:

  1. Dependent variable: Weight_ BD Fruit

  2. Independent variables:

    • oBrix_ BD Sucrose Syrup

    • % Water_ BD Sucrose Syrup

    • Temperature_ BD Sucrose Syrup

An analysis of variance was used to describe the relationship between fruit weight and independent variables. Table 3 summarizes this analysis.

TABLE 3
Analysis of Variance
Analysis of Variance

  1. Null hypothesis: There is no relationship between the weight of the fruit and the independent variables.

  2. Alternative hypothesis: there is a relationship between the weight of the fruit and in at least one of the independent variables.

  3. Significance level: 0.05

  4. Decision theory: Reject the null hypothesis (H0) if the smallest P-value of the tests performed is <0.05.

  5. Decision: Since the P-value (0.0022) is less than 0.05, there is a statistically significant relationship between the variables with a confidence level of 95.0%.

Therefore, the model equation remains:

Weight _ F r u i t B D = 793.779 + 13.5751 ° B r i x 11.4982 % of Water + 10.6665 T e m p e r a t u r e

where:

W_F.BD- weight of the fruit.°Brix- °Brix of Sucrose Syrup BD.% of Water- percent of water of Sucrose Syrup.T- temperature of the Sucrose Syrup BD.

The adjusted R-Squared statistic indicates that the model explains 75.65%, so it can be inferred that the model fits correctly for the conditions evaluated in the study.

CONCLUSIONS

REFERENCES

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Author notes

Damisela Acea del Sol, Professor, University of Cienfuegos, Faculty of Agrarian Sciences, Cienfuegos, Cuba, e-mail: dacea@ucf.edu.cu ORCID: https://orcid.org/0000-0001-7601-0641
Angel Lazaro Sanchez Iznaga, Assistant Professor, University of Cienfuegos, collaborator of the University of Cienfuegos (UCF) at the Metropolitan University of Ecuador (UMET). Quito, Ecuador, e-mail: asancheziznaga@gmail.com; alsanchez@ucf.edu.cu; asanchez@umet.edu.ec ORCID: https://orcid.org/0000-0003-0729-8340
The mention of trademarks of specific equipment, instruments or materials is for identification purposes, there being no promotional commitment in relation to them, neither by the authors nor by the publisher.

*Author for correspondence: Damisela Acea del Sol, e-mail: dacea@ucf.edu.cu

Conflict of interest declaration

The authors of this work declare no conflict of interests.
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