Open Access
Issue
BIO Web Conf.
Volume 10, 2018
Contemporary Research Trends in Agricultural Engineering
Article Number 02017
Number of page(s) 5
Section Engineering and Technology
DOI https://doi.org/10.1051/bioconf/20181002017
Published online 26 March 2018

© The Authors, published by EDP Sciences, 2018

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).

1 Introduction

One of the primary ways of food preservation is drying, the reduction of the water content in the raw material. Drying improves product stability during storage and transport [1]. Drying should be carried out so as to prevent adverse changes in the products resulting in deterioration.

Selection of the appropriate drying method significantly influences the properties of the plant material such as: thermal resistance, biological and mechanical-mechanical properties, degree of fineness, and the required quality of dried food products, as well as parameters of the drying agent [2]. The choice of a suitable dryer, pre-treatment and proper process planning, as well as the knowledge of the drying kinetics of a given raw material, are the basis for obtaining a product of good quality [3].

The convection drying method is most commonly used in industry because of the simplicity of construction and easy operation of the equipment. However, the low energy efficiency of such dryers and the low quality of the resulting dried matter are the reasons for the search for methods that produce better products in terms of quality and low cost of production [4], [5]. The disadvantage of this method is the relatively long drying time and the use of high temperatures, which results in qualitative changes in the product. Thus, new technologies are being sought which would be more efficient and enable the receipt of a high quality product at minimal cost and maximum process efficiency.

The alternative method seems to be microwave energy drying, which can improve the quality of the dried product.The use of microwave drying results in better retention of aromatic components, biologically active substances and improved sensory properties of the material compared to a convection drying. Microwave heating causes intense energy release inside the material, as a result has the effect of "inflating" due to rapid evaporation of water [6]. During the process the biological material can be protected from overheating and increase the intensity of evaporation of the water by reducing the pressure inside the dryer. As a result, the drying rate is much higher than with conventional drying methods (eg convection drying). In addition, an important factor influencing the drying kinetics is the selection of the appropriate microwave power [7], [8], [9], [10].

The aim of the study was to analyze the effect of drying method and parameters on dry product quality.

The scope of work included convection and microwave-convection drying of cauliflower particles and evaluation of dry product quality in terms of color, odor, taste and shape (shrinkage).

2 Material and methods

The subject of the study was the quality of dried cauliflower particles obtained from convection and microwave convection drying. The quality assessment included the determination of changes in sensory characteristics: odor, taste and color and shape by drying shrinkage coefficient, water content and density in dry product were also determined.

The research was carried out on a laboratory stand for the convection drying of plant materials, designed and built at the Department of Mechanical Engineering and Agrophysics of the University of Agriculture in Krakow. The stand was equipped with: a drying chamber, in which RADWAG WPE 3000 was placed (± 0.01g), allowing continuous measurement of mass changes during drying, heater with a maximum power of 3.04kW (allowed maximum drying of the drying agent to 50°C), combined with a fan. During drying, the temperature of the drying medium was measured using NiCrNiAl thermocouples (± 0.1° C), at the inlet and outlet of the dryer and inside the drying chamber. Samples were dried at drying agent temperature 50°C.The convection drying took place in a forced air dryer for three speeds: 0.1 (I); 0.2 (II); 0.3 (III) [m·s-1]. The airflow velocity was adjusted by varying the diameter of the opening in the convection oven, the diameters being 0.07, 0.12, 0.17 [m].

Microwave-convection was performed in microwave oven Moulinex - Dialog cook Y90, for three microwave power: 170, 210 and 340 [W], at air temperature 50°C.

Cauliflower samples were cauliflower roses with an average weight of 2,2 g. In the driers the material was laid in a single layer. Samples were weighed before and after the electronic weighing of RADWAG WPE 3000 with an accuracy of 0,01 g. During the drying were recorded the temperature and relative humidity of the drying agent. The measurement of these parameters was performed using the multifunction device company ROTRONIC.Three samples of fresh and dried material were taken to determine the density, then weighed on the RADWAG WPS 510 / c / 1 electronic scale in air and in rapeseed oil. A reading accuracy of a mass was 0,001g.

The color of fresh and dried material was determined on the basis of five samples each of which was photographed by a CANON digital camera. Images were analyzed for color, using MULTISCAN.

The taste and aroma were assessed using a five point scale, where 1 was the worst rating, and 5 was the best, using a expert group of evaluators (5 panelists).

The water content of the test material was calculated from the relationship:

where: u - water content,(kgH2O(kgs.s)-1)., mp - mass of sample, (kg), ms - mass of dry substance, (kg).

The density of the tested material was determined by a method based on the Archimedes law, using a laboratory scale. The density was calculated from the formula:

where: ρ - sample density (kg · m-3), A - mass of sample in air (kg), B - mass ofsample in oil (kg), po - density of oil (kg · m-3).

Drying shrinkage was calculated from the relationship:

where: sk - drying shrinkage (%), Ap - sample area (mm2), Aś - average area of freshmaterial (mm2).

Each measurement was performed in triplicate.The results of the measurements were subjected to a basic statistical analysis.

Mean and standard deviations were calculated and variance analysis was performed with Duncan's test for dependence between dependent and independent variables. In addition, Pearson’s linear correlation analysis was performed for dependent variables. For all statistical calculations the significance level α = 0.05 was assumed.

Results and analysis

The obtained results of studies on density changes, drying shrinkage, taste and odor and water content and color of dried products, depending on the method and conditions of drying, are presented in the form of figures and tables as mean values with standard deviations. The average density of fresh material varied from 0.961 kg·m-3 (for microwave-convection drying at 210 W) to 1.101 kg·m-3 (for sample III for convection drying at an air flow rate of 0.3 m s-1, for which the highest standard deviation was recorded, ie: 0.097). The remaining deviations from the mean were low, ie: 0.002-0.007 (Figure 1).The highest increase density of simple of the dry material compared to the fresh sample was recorded for convection drying at an air flow rate of 0.3 ms-1 (III). The recorded growth was 20.9%. After microwave drying at 210 and 340W and conventional drying at a flow rate of 0,2 ms-1 (II), the density of dried material relative to fresh material was reduced.

The greatest decrease in the density of (6.6%) was observed for the material after drying with a microwave power of 340W.

Significant statistically differentiation has been found to evaluate the taste and odor of dry products obtained by various drying methods.The higher tasting values on the 5-step scale obtained the drought obtained from the conventional drying method (4-4) (Figure 2).The highest value was obtained with an air flow rate of 0.2 m·s-1 (II). For microwave- convection drying its value was in the range of 2.8 for drying at 210W to 3.6 for 170W. Similarly, when evaluating the taste, odor evaluation results are formed. Significantly higher values in the sensory evaluation were obtained by conventional methods compared to microwave- convection. Similarly, when evaluating the taste, odor evaluation results are formed. Significantly higher values in the sensory evaluation dried samples obtained by the convection method in comparison with the microwave - convection.

The highest value of drying shrinkage was recorded at air velocity of 0,2 ms-1 (II), respectively 4.6 points, lowest at 210W microwave power, 2.4 points respectively. Methods and parameters of a drying affected drying shrinkage and water content significantly (Table 2). The highest values of water content were recorded for dry products obtained from convection drying at air flow velocities of 0,.2 and 0.3 ms-1 (II and III), respectively 8.05 and 6.43 kg H2O·kgs.s.-1 (Figure 3). The lowest water content was recorded in microwave drying at 210 and 170W microwave power, respectively 1,53 and 3,41 kg H2O(kgs.s)-1.

The bolds were marked by significant relationships at α = 0.05

Analysis of drying shrinkage of samples indicates significant differences between drying methods (Table 2). The highest value of the shrinkage was observed for the sample dried convection method using air flow rate of 0.3 and 0.2 m·s -1, respectively, 50.65 and 24.01%. The highest shrinkage value was recorded for samples with a microwave power of 340W.

Evaluation of color parameters showed that samples before and after drying were significantly different. Compared to the fresh sample, higher sample brightness was observed for convection drying at an air flow rate of 0,2 ms-1 (II). On the other hand, it was significantly lower for the dried food obtained from the microwave oven at 170W, for which all other color parameters were also the lowest. Compared to the fresh sample, higher r, b and y parameters were recorded for most drying methods, while the lower values for parameter g (Table 1).

The analysis of the correlation between the dependent variables (Table 3) showed a significant positive correlation between the water content in the dried material and drying shrinkage, density of a sample of fresh and dried. With the density of the fresh sample, the drying shrinkage and the 'g' parameter and the density of the dried were significantly correlated.

Drying shrinkage, water content, color g parameter and negative 'r' color are significantly correlated with the dry material density.

thumbnail Fig. 1.

The density of the samples before and after drying

thumbnail Fig. 2.

Results of organoleptic evaluation for taste and odor

Table 2.

Results of Duncan test - of one-dimensional significance tests for the parameters tested.

thumbnail Fig. 3.

The water content of dried material (kg H2Okgss-1), and drying shrinkage (%)

Table 1.

Parameters of the color of fresh material and dried.

Table 3.

Results of linear correlation analysis for dependent variables.

Conclusions

Analysis of the results allowed to draw the following conclusions:

  • 1.

    The method and parameters of drying significantly affect the quality of the dried cauliflowers obtained.

  • 2.

    Convection drying guarantees higher quality of the dried cauliflowers with respect to the color of the sample (higher luminosity), taste and odor.

  • 3.

    Of the drying parameters accepted in the experiment, the most positive effect on the tested parameters was recorded using convection drying at a flow rate of 0.2 m·s-1 and the least favorable for microwave drying 170 or 210W.

  • 4.

    Significant positive correlation was found between density of dried and moist sample, water content and drying shrinkage.

References

  • B. Krzysztofik, T. Dróżdż, Z. Sobol, P. Nawara, P. Wrona,. Methods of securing and preserving raw materials and food products (Monograph. Ed. Agric. Eng. ISBN 978-83-64377-14-3 (2015) [Google Scholar]
  • B. Bijok, F. Bijok, A. Dąbek,. Raw materials and food technology, Part II. (Surowce I technologia żywności część II). WSiP(2001) [Google Scholar]
  • E. Biller, A. Wierzbicka, A. Półtorak, Agric.Eng. 9(69) (2005) [Google Scholar]
  • D. Witrowa-Rajchert, Rehydration as an indicator of changes occurring in plant tissue during drying. (Habilitation dissertation Ed. SGGW in Warszawa)) 29. ISBN 83-87660-95-7 (1999) [Google Scholar]
  • M. Rząca, D. Witrowa- Rajchert, Acta Agrophys. 9(2), (2007) [Google Scholar]
  • J. Oszmiański, Technology and analysis of fruit and vegetable products. Selected Issues. (Ed. of Wrocław University of Environmental and Life Sciences (2002) [Google Scholar]
  • A. Andres, K. Bilbao, P. Fito, J. of Food Eng. 63. (2004) [Google Scholar]
  • M. Szarycz, E. Kamiński, K. Jałoszyński, A. Szponarska, Acta Sci. Pol.Technika Agraria 2(2). (2003) [Google Scholar]
  • A. Marzec, M. Zadrożna, ActaAgrophys. 12(2) (2008) [Google Scholar]
  • T. M. Lin, T. D. Durance, C. N. Scaman, Food Res. Inter. 31 (2) (1998) [Google Scholar]

All Tables

Table 2.

Results of Duncan test - of one-dimensional significance tests for the parameters tested.

Table 1.

Parameters of the color of fresh material and dried.

Table 3.

Results of linear correlation analysis for dependent variables.

All Figures

thumbnail Fig. 1.

The density of the samples before and after drying

In the text
thumbnail Fig. 2.

Results of organoleptic evaluation for taste and odor

In the text
thumbnail Fig. 3.

The water content of dried material (kg H2Okgss-1), and drying shrinkage (%)

In the text

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