Drying Kinetics and Rehydration Characteristics of Convective Hot-Air Dried White Button Mushroom Slices

Doymaz, İbrahim

doi:https://doi.org/10.1155/2014/453175

Journal of Chemistry

On this page

Abstract Introduction Methods Results and Discussion Conclusions References Copyright Related Articles

Research Article | Open Access

Volume 2014 | Article ID 453175 | https://doi.org/10.1155/2014/453175

Drying Kinetics and Rehydration Characteristics of Convective Hot-Air Dried White Button Mushroom Slices

İbrahim Doymaz¹

Academic Editor: Albert Demonceau

Received07 Mar 2014

Revised20 May 2014

Accepted20 May 2014

Published05 Jun 2014

Abstract

The effect of pretreatment (0.5% citric acid solution) and drying air temperature (40, 50, 60, and 70°C) on drying characteristics of button mushroom slices was investigated in a cabinet dryer. The experimental results show that the drying temperature and pretreatment have significant effects on the moisture removal from mushroom. In addition, rehydration ratio of pretreated samples was higher than that of control ones. Four kinds of classical model were used to obtain moisture data and the logarithmic model was the best for representation of mushroom drying. The values of effective moisture diffusivity were found to range between and m²/s over the temperature range studied. The activation energy was found to be 35.04 and 37.21 kJ/mol for control and pretreated samples, respectively.

1. Introduction

Mushrooms have been used throughout the world for many centuries. They are considered to be good sources of crude proteins, carbohydrates, lipids, and dietary fibre. Moreover, they are excellent sources of thiamine, riboflavin, nicotinic acid, biotin, and ascorbic acid [1]. Out of 38,000 known mushroom varieties, the most popular are Agaricus bisporus (white button mushroom), Lentinus edodes (Shitake or Japanese mushroom), Pleurotus species (oyster mushroom), Volvariella volvacea (paddy straw mushroom), Flammulina velutipes (winter mushroom), and the Auricularia polytricha (Jew’s ear mushroom) [2]. The button mushroom (Agaricus bisporus) is the most widely planted and consumed mushroom throughout the world and it contributes to about 40% of the world production mushroom [3]. Due to their high moisture content, mushrooms are highly perishable as they start deterioration soon after harvest, with a shelf life of 1-2 days at room temperature [4]. Among the various methods employed for preservation, canning is the most frequently adopted method in commercial scale. Mushroom can be processed in many other methods to extend their self-life such as pickling and drying [2]. Dried mushrooms are used as an important ingredient in several food formulations including instant soups, pasta salads, snack seasonings, stuffing, casseroles, and meat and rice disks [5].

Drying is one of the methods of food preservation. The main attribute of this method is the decrease in the water activity in the product by decreasing its water content, inhibiting the development of microorganisms, and decreasing spoilage reactions, thus prolonging the shelf life of the product [6]. It also provides an extension of shelf life, lighter weight for transportation, and less space for storage. Drying combined with some pretreatments appears to be a cost effective method of preservation. Pretreatments of some agricultural foods prior to drying have been reported to help reduce some of undesired changes such as colour and textural changes. Also, they reduce drying time by relaxing tissue structure and yield a good quality to dried product. Potassium and sodium hydroxide, potassium carbonate, potassium metabisulphate, methyl and ethyl ester emulsions, and citric and ascorbic acids are the most common and commercially used pretreatments [7–9].

The most relevant aspects of drying technology are the mathematical modeling of the process and the experimental setup. The modeling is basically based on the design of a set of equations to describe the system as accurately as possible. Drying characteristics of the particular products being dried and mathematical models are needed in the design, construction, and operation of drying systems [10]. Mathematical models of the drying processes are used for designing new or improving existing drying systems or even for the control of the drying process. Many mathematical models have been proposed to describe the drying process; of them, thin-layer drying models have been widely in use. These models can be categorized as theoretical, semitheoretical, and empirical models. Recently, there have been many researches on the mathematical modelling and experimental studies of the drying characteristics of various vegetables and fruits, such as grape [8], sweet potato [11], mango [12], and others. There are several studies in the literature related to the drying characteristics of mushroom. For example, Çelen et al. [13] investigated drying characteristics of mushrooms at different air temperatures of 40, 45, 50, and 60°C and different slice thickness of 2, 4, and 6 mm. The experimental results show that the drying temperature has a significant effect on the moisture removal from mushrooms. Walde et al. [2] found that the dehydration characteristics of mushroom were also examined by using different pretreatments (blanching, followed by soaking in potassium metabisulphate, fermented whey, and curds) and drying systems (hot-air cabinet dryer, fluidized bed dryer, vacuum dryer, and microwave oven). The results show that microwave drying may not be a suitable method for the drying of mushrooms. Xanthopoulos et al. [14] investigated the effect of drying air temperature (50–65°C) and air velocity (1–5 m/s) on drying kinetics of mushroom slices. The statistical analysis concluded that the best model in terms of fitting performance was the logarithmic model. However, pretreatment such as citric acid solution on drying kinetics, effective moisture diffusivity, and activation energy of mushroom slices has not yet been reported. The objectives of this study were to study the effects of pretreatment on the drying kinetics and the rehydration ratio, fit experimental data to four thin-layer drying models, and compute effective moisture diffusivity and activation energy values using mushroom slices.

2. Material and Methods

2.1. Sample Preparation

Fresh button mushrooms (Agaricus bisporus) were obtained from a local supermarket in Istanbul and kept in a refrigerator (4°C) prior to the experiments. For samples preparation, the mushrooms were washed with tap water and dripped. Then, the samples were separated from the stems and vertically cut into four pieces for drying in order to increase the surface area and divided into two lots before use. One lot of mushroom slices was pretreated with solution of citric acid (0.5%) at 20°C for 3 min (citric acid). The other lot was untreated (control).

The initial moisture content of mushroom slices was determined by using the oven method at 110°C for 24 h. Triplicate samples were used for the determination of moisture content and the average values were reported as 10.3122 kg water/kg dry matter (d.b.).

2.2. Drying Apparatus

Drying experiments were carried out using a cabinet dryer (APV & PASILAC Limited of Carlisle, Cumbria, UK), described previously by Doymaz [15]. It basically consists of a centrifugal fan to supply the air flow, an electric heater, an air filter, and an electronic proportional controller. The air velocity above the product was measured using an anemometer (AM-4201, Lutron, Taipei, Taiwan) with an accuracy 0.1 m/s. The air is heated to the desired temperature in the heating unit and channeled to the drying chamber. The air temperature in the dryer was regulated to ±1°C using a temperature controller. The samples were dried in a perforated tray (radius: 29 cm and height: 7 cm). Weight loss of samples was recorded by using a digital balance (model BB3000, Mettler-Toledo AG, Grefensee, Switzerland), which has 0–3000 g measurement range with reading accuracy of 0.1 g.

2.3. Experimental

The cabinet dryer was started about 30 min before drying experiments to achieve steady-state conditions before each drying run. Then, the mushroom slices weighing about 50 ± 1 g were spread to thickness 1 cm on the tray. The drying experiments were conducted at 40, 50, 60, and 70°C air temperatures and constant air velocity of 2 m/s. Air flowed perpendicular to drying surfaces of the samples. Initial weight of the tray and sample was noted. During drying process, the tray was taken out at 15-min interval and weighed using a digital electronic balance. Drying was stopped when the moisture content of samples was approximately 0.085 kg water/kg dry matter. The dried product was cooled and packaged in low-density polyethylene bags and then heat-sealed. The drying experiments were carried out in triplicate. Drying data were analyzed using two-way analysis of variance at .

2.4. Rehydration Experiments

Rehydration experiments for dried samples at 40°C were carried out in distilled water bath at temperature of 25 and 50°C (±1°C). Approximately 1 g of dried samples was added to 400 mL distilled water, in a 500 mL beaker. The sample was withdrawn from the liquid every 20 min, and excess water was carefully removed by blotting on a tissue paper, before weighing. The actual rehydration duration was 240 min. Weights of dried and rehydrated samples were measured using an electronic digital balance (Precisa, model XB220A, Precisa Instruments AG, Dietikon, Switzerland) having a sensitivity of 0.001 g. The rehydration ratio (RR) was calculated by the following equation: where is the weight of moisture (kg) and is the weight of dry matter (kg).

2.5. Mathematical Modeling

Moisture content was calculated using the following equation: where is the moisture content (kg water/kg dry matter), is initial weight of sample (kg), is the amount of evaporated moisture (kg), and is dry matter content of sample (kg). Experimental data from the different drying runs were expressed as moisture ratio versus drying time and drying rate versus moisture content.

Data derived from drying of mushroom slices were fitted to four thin-layer drying models (Table 1). The moisture ratio (MR) of the samples is defined according to the following equation: where , , and are moisture contents at any time, the initial moisture content, and the equilibrium moisture content (kg water/kg dry matter), respectively, and is the drying time (min). The value of is relatively small for long drying times, compared to values of and , so the equation can be simplified to [12, 19] The drying rate (DR) of mushroom slices was calculated using the following equation: where is moisture content at (kg water/kg dry matter) and is time (min).

2.6. Statistical Analysis

Data were analyzed using Statistica 6.0 (Statsoft Inc., Tulsa, OK) software package. Model parameters were estimated using a nonlinear regression procedure based on the Levenberg-Marquardt algorithm. The fitting quality of the experimental data to all models was evaluated using the coefficient of determination (), the reduced chi-square (), and the root mean square error (RMSE). These parameters were calculated from the following formulas: where and are experimental and predicted dimensionless moisture ratios, respectively, is the number of observations, and is the number of constants. The best model describing the drying kinetics of samples was chosen as the model with the lowest and RMSE values and the highest value [12, 20].

2.7. Calculation of Moisture Diffusivity

Fick’s second law can be derived as follows: where is the local moisture content (kg water/kg dry matter), is the time (s), and is the effective moisture diffusivity (m²/s). Equation (7) can be used to determine the moisture ratio in terms of infinite series by giving the analytical solutions for various regularly shaped bodies, such as rectangular, cylindrical, and spherical shapes, with the appropriate initial and boundary conditions shown as followed: The present case was considered of slab geometry, and then the first boundary condition states that moisture is initially uniformly distributed throughout the sample. The second implies that the mass transfer is symmetric with respect to the centre of the slab. The third condition states that the surface moisture content of the samples instantaneously reaches equilibrium with the conditions of surroundings air [21].

The solution of Fickian diffusion equation (7) in such conditions for an infinite slab, assuming unidimensional moisture movement volume change, constant temperature, and diffusivity coefficients, and negligible external resistance [22] can be as follows: where is the effective moisture diffusivity (m²/s), is the half-thickness of the slab (m), and is the positive integer. For long drying times, equation (9) simplifies to a limiting form of the diffusion equation as follows: This could be further converted into a straight-line equation as The effective moisture diffusivity was calculated from a slope of a straight line by plotting experimental drying data in terms of ln(MR) versus drying time.

2.8. Calculation of the Activation Energy

Effective moisture diffusivity can be related with temperature by Arrhenius expression like where is a constant in the Arrhenius equation (m²/s), is the activation energy (kJ/mol), is temperature of air (°C), and is the universal gas constant (kJ/mol K). Equation (12) can be rearranged into form of

3. Results and Discussion

3.1. Drying Curves

Curves of moisture content versus drying time for pretreated and control samples are presented in Figure 1. It is apparent that moisture content and drying rate decrease continuously with the drying time. Figure 2 shows the changes in the drying rate as a function of moisture content at 40, 50, 60, and 70°C. As shown in these figures, the falling-rate period was mostly observed in both mushroom samples at different drying temperature. It means that the physical mechanism governing moisture movement in the samples is dominated by the diffusion of water vapor or bound water through the dry tissue to the drying air at a rate slower than the evaporation rate from the surface [23]. Results are in good agreement with the earlier observations of drying of various products [4, 14, 24, 25].

3.2. Influence of Pretreatment

Pretreatment is an important parameter that affects drying time (Figure 1). Samples dipped in a citric acid solution prior to drying had a shorter drying time compared to control samples. They reach a final water content (0.085 ± 0.05 kg water/kg dry matter) for control samples; 795 min of drying at 40°C were needed, while mushroom slices treated with a citric acid solution reached this water content after 660 min. The difference in drying times was close to 16.98%. These results show that citric acid solution contributed to increasing the permeability of the cell membranes of mushroom slices, leading to an increase in moisture diffusivity. Similar trends were observed at drying temperatures of 50, 60, and 70°C. The observed treatment effects on drying characteristics have also been reported in previous investigations of different agricultural products [9, 26–28].

3.3. Fitting of Drying Curves

The moisture content data observed by hot-air drying experiments are converted into the moisture ratio (3) and fitted to the four models listed in Table 1. Nonlinear regression was used to obtain each parameter value of every model. The best model describing the thin-layer drying characteristics of mushroom slices was chosen as the one with the highest values and the lowest and RMSE values. Statistical results from models are summarised in Table 2. The results from Table 2, the statistical parameter estimations showed that , , and RMSE values were ranged from 0.9771 to 0.9995, 0.000049 to 0.002553, and 0.018324 to 0.221051, respectively. The logarithmic model was found the best for describing the drying kinetics of mushroom slices with , , and RMSE ranging between 0.9961 and 0.9995, 0.000049 and 0.000444, 0.018324 and 0.090161, respectively. Figure 3 compares experimental data with those fitted data from the logarithmic model for mushroom slices at different temperatures. It can be seen that there was a very good agreement between the experimental and predicted moisture ratio values, which are closely banding around at a 45° straight line.

3.4. Effective Moisture Diffusivity

The determined values of the effective moisture diffusivity are shown in Figure 4 and were found to range between 1.70 × 10^-10m²/s and 7.12 × 10^-10m²/s. As expected, effective moisture diffusivity increased with increase in drying temperature; it was also observed that the effective moisture diffusivity values were higher for pretreated samples as compared to control samples (Figure 4). The pretreatment solution has probably affected the internal mass transfer during drying. The values of obtained from this study lie within in general range 10⁻¹² to 10^-8m²/s for drying of food materials [29]. Similar observations have been reported by other researchers [4, 30].

3.5. Activation Energy

The activation energy was calculated by plotting ln() versus the reciprocal of the temperature (1/( + 273.15)) and presented in Figure 5. Equations (14) and (15) show the effect of temperature on of the control and pretreated samples with following coefficients: control: citric acid: The activation energy values were found to be 35.04 and 37.21 kJ/mol for control and pretreated samples, respectively. The values of activation energy lie within the general range of 12.7–110 kJ/mol for food materials [29].

3.6. Rehydration Characteristics

Rehydration is an important quality attribute for dried products. The rehydration characteristics indicate the physical and chemical changes during drying as influenced by processing conditions, pretreatment, and composition of samples [31]. The values of rehydration ratio at different rehydration temperatures, calculated from (1), are shown in Figure 6. It was observed that the rehydration ratio of pretreated samples resulted in the highest rehydration, compared to the control samples.

4. Conclusions

The effect of pretreatment on drying of mushroom slices using hot air was studied. Drying rate and rehydration ratio of pretreated samples increased compared to control samples. Drying process occurred in the falling-rate period. To explain the drying kinetics of mushroom slices, four thin-layer drying models were compared according to their , , and RMSE values. Logarithmic model has shown to be the best fit to the experimental data. The values of effective moisture diffusivity were found to range between 1.70 × 10⁻¹⁰ and 7.12 × 10^-10m²/s. The activation energy was found to be 35.04 and 37.21 kJ/mol for control and pretreated samples, respectively.

Conflict of Interests

The author declares that there is no conflict of interests regarding the publication of this paper.

References

H. Gençcelep, “The effect of using dried mushroom (Agaricus bisporus) on lipid oxidation and color properties of sucuk,” Journal of Food Biochemistry, vol. 36, no. 5, pp. 587–594, 2012.
View at: Publisher Site | Google Scholar
S. G. Walde, V. Velu, T. Jyothirmayi, and R. G. Math, “Effects of pretreatments and drying methods on dehydration of mushroom,” Journal of Food Engineering, vol. 74, no. 1, pp. 108–115, 2006.
View at: Publisher Site | Google Scholar
S. K. Giri and S. Prasad, “Drying kinetics and rehydration characteristics of microwave-vacuum and convective hot-air dried mushrooms,” Journal of Food Engineering, vol. 78, no. 2, pp. 512–521, 2007.
View at: Publisher Site | Google Scholar
L. E. Kurozawa, P. M. Azoubel, F. E. X. Murr, and K. J. Park, “Drying kinetic of fresh and osmotically dehydrated mushroom (Agaricus blazei),” Journal of Food Process Engineering, vol. 35, no. 2, pp. 295–313, 2012.
View at: Publisher Site | Google Scholar
J. Raj, M. I. A. Ansari, P. Rai, and G. Prasad, “Optimization of drying conditions of button mushroom (Agaricusbisporous),” Journal of Research, vol. 25, pp. 36–40, 2013.
View at: Google Scholar
P. S. Pisalkar, N. K. Jain, P. B. Pathare, R. P. Murumkar, and V. A. Revaskar, “Osmotic dehydration of aloe vera cubes and selection of suitable drying model,” International Food Research Journal, vol. 21, pp. 373–378, 2014.
View at: Google Scholar
S. Tarhan, G. Ergunes, and O. F. Taser, “Selection of chemical and thermal pretreatment combination to reduce the dehydration time of sour cherry (Prunus cerasus L.),” Journal of Food Process Engineering, vol. 29, no. 6, pp. 651–663, 2006.
View at: Publisher Site | Google Scholar
G. Bingol, Z. Pan, J. S. Roberts, Y. Onur Devres, and M. O. Balaban, “Mathematical modeling of microwave-assisted convective heating and drying of grapes,” International Journal of Agricultural and Biological Engineering, vol. 1, no. 2, pp. 46–54, 2008.
View at: Publisher Site | Google Scholar
I. Doymaz, “Effect of citric acid and blanching pre-treatments on drying and rehydration of Amasya red apples,” Food and Bioproducts Processing, vol. 88, no. 2-3, pp. 124–132, 2010.
View at: Publisher Site | Google Scholar
C. A. Ruiz, C. Francisco, L. R. Fernando, and R. Aida, “Thin layer drying behavior of industrial tomato bye-products in a convective dryer at low temperatures,” Research Journal of Biotechnology, vol. 8, no. 2, pp. 50–60, 2013.
View at: Google Scholar
S. Singh, C. S. Raina, A. S. Bawa, and D. C. Saxena, “Effect of pretreatments on drying and rehydration kinetics and color of sweet potato slices,” Drying Technology, vol. 24, no. 11, pp. 1487–1494, 2006.
View at: Publisher Site | Google Scholar
A. O. Dissa, D. J. Bathiebo, H. Desmorieux, O. Coulibaly, and J. Koulidiati, “Experimental characterisation and modelling of thin layer direct solar drying of Amelie and Brooks mangoes,” Energy, vol. 36, no. 5, pp. 2517–2527, 2011.
View at: Publisher Site | Google Scholar
S. Çelen, K. Kahveci, U. Akyol, and A. Haksever, “Drying behavior of cultured mushrooms,” Journal of Food Processing and Preservation, vol. 34, no. 1, pp. 27–42, 2010.
View at: Publisher Site | Google Scholar
G. Xanthopoulos, G. Lambrinos, and H. Manolopoulou, “Evaluation of thin-layer models for mushroom (Agaricus bisporus) drying,” Drying Technology, vol. 25, no. 9, pp. 1467–1477, 2007.
View at: Publisher Site | Google Scholar
I. Doymaz, “Effect of pre-treatments using potassium metabisulphide and alkaline ethyl oleate on the drying kinetics of apricots,” Biosystems Engineering, vol. 89, no. 3, pp. 281–287, 2004.
View at: Publisher Site | Google Scholar
J. S. Roberts, D. R. Kidd, and O. Padilla-Zakour, “Drying kinetics of grape seeds,” Journal of Food Engineering, vol. 89, no. 4, pp. 460–465, 2008.
View at: Publisher Site | Google Scholar
H. M. Ghodake, T. K. Goswami, and A. Chakraverty, “Mathematical modeling of withering characteristics of tea leaves,” Drying Technology, vol. 24, no. 2, pp. 159–164, 2006.
View at: Publisher Site | Google Scholar
A. Kaleta, K. Górnicki, R. Winiczenko, and A. Chojnacka, “Evaluation of drying models of apple (var. Ligol) dried in a fluidized bed dryer,” Energy Conversion and Management, vol. 67, pp. 179–185, 2013.
View at: Publisher Site | Google Scholar
A. Balbay and Ö. Şahin, “Microwave drying kinetics of a thin-layer liquorice root,” Drying Technology, vol. 30, no. 8, pp. 859–864, 2012.
View at: Publisher Site | Google Scholar
T. Y. Tunde-Akintunde, “Mathematical modeling of sun and solar drying of chilli pepper,” Renewable Energy, vol. 36, no. 8, pp. 2139–2145, 2011.
View at: Publisher Site | Google Scholar
Y. Zhang, H. Chen, and T. Chen, “Drying kinetics of RDX under atmospheric pressure and vacuum conditions,” Energy Conversion and Management, vol. 80, pp. 266–275, 2014.
View at: Publisher Site | Google Scholar
J. Crank, The Mathematics of Diffusion, Oxford University Press, London, UK, 2nd edition, 1975.
W. Duangkamchan, L. Wiset, and N. Poomsa-ad, “Evaluation of drying and moisture sorption characteristics models for Shiitake mushroom (Lentinussquarrosulus Mont.) and Grey Oyster mushroom (Pleurotussajor-caju (fr.) Singer),” Suranaree Journal of Science and Technology, vol. 20, pp. 151–166, 2013.
View at: Google Scholar
E. K. Akpinar and Y. Bicer, “Modelling of the drying of eggplants in thin-layers,” International Journal of Food Science and Technology, vol. 40, no. 3, pp. 273–281, 2005.
View at: Publisher Site | Google Scholar
P. S. Kumar, M. Kanwat, and V. K. Choudhary, “Mathematical modeling and thin-layer drying kinetics of bamboo slices on convective tray drying at varying temperature,” Journal of Food Processing and Preservation, vol. 37, pp. 914–923, 2013.
View at: Publisher Site | Google Scholar
B. Hiranvarachat, S. Devahastin, and N. Chiewchan, “Effects of acid pretreatments on some physicochemical properties of carrot undergoing hot air drying,” Food and Bioproducts Processing, vol. 89, no. 2, pp. 116–127, 2011.
View at: Publisher Site | Google Scholar
K. O. Falade and O. J. Solademi, “Modelling of air drying of fresh and blanched sweet potato slices,” International Journal of Food Science and Technology, vol. 45, no. 2, pp. 278–288, 2010.
View at: Publisher Site | Google Scholar
A. Vega-Gálvez, E. Lara, V. Flores, K. Di Scala, and R. Lemus-Mondaca, “Effect of selected pretreatments on convective drying process of blueberries (var. O'neil),” Food and Bioprocess Technology, vol. 5, no. 7, pp. 2797–2804, 2012.
View at: Publisher Site | Google Scholar
N. P. Zogzas, Z. B. Maroulis, and D. Marinos-Kouris, “Moisture diffusivity data compilation in foodstuffs,” Drying Technology, vol. 14, no. 10, pp. 2225–2253, 1996.
View at: Google Scholar
J. H. Lee and H. J. Kim, “Vacuum drying kinetics of Asian white radish (Raphanus sativus L.) slices,” Food Science and Technology, vol. 42, no. 1, pp. 180–186, 2009.
View at: Publisher Site | Google Scholar
H. Feng and J. Tang, “Microwave finish drying of diced apples in a spouted bed,” Journal of Food Science, vol. 63, no. 4, pp. 679–683, 1998.
View at: Google Scholar

Copyright

Copyright © 2014 İbrahim Doymaz. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

8212

Downloads

3375

Citations