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ISSN: 2278 – 1323
                              International Journal of Advanced Research in Computer Engineering & Technology
                                                                                  Volume 1, Issue 4, June 2012




    Mathematical Modeling of Hot Air Drying of
     Spinach Leaves in Universal Hot Air Oven
       A.K.Upadhyaya 1, Bhupendra Gupta 2, Sanjeev Garg 3, Mohan Singh4, Mukesh Pandey5
                                 1
                                   Student of ME, Mechanical Engineering (Heat power), JEC Jabalpur
                                     2
                                       Faculty of Mechanical Engineering Department, JEC Jabalpur
                               3
                                 Faculty of Post Harvest Process and Food Engineering, JNKVV Jabalpur
                               4
                                 Faculty of Post Harvest Process and Food Engineering, JNKVV Jabalpur
                                5
                                  Dean (academics) and Professor, Department of Energy, RGPV, Bhopal

 Abstract- The objective of this study was to develop a                nutritional characteristics promoting the collapse of
model for drying characteristic curve of Spinach in                    vegetable tissues and the degradation of vitamins and
Universal Hot Air Oven .Drying experiment were                         antioxidants(Ibarz             and            Barbosa-
conducted using a constant air velocity2.2m/s and three                Canovas,2003).Moreover, in the last 30 years the
drying air temperature of 55, 65, and75 oC with two                    need of new technologies allowed to develop several
pretreatment conditions and load densities that are                    dehydration methods Such as hot air dehydration,
given    respectively    condition     (Blanched       and             osmotic dehydration, microwave dehydration,
Unblanched) load density (3kg/m2, 3.5 kg/m2).The                       infrared (IR) dehydration, ultrasonic dewatering,
drying rate increased with increased in temperature                    hybrid technologies, etc. The introduction of these
and decrease with increase in time. Pretreatment and                   technologies in food industries has increased the
load densities had an insignificant role on drying rate.               quality of dried vegetables leading to an exponential
The experimental drying data of spinach applied to four                increase of the market of these products. For
moisture ratio models, namely, page l, modified page,                  instance, a report published from Research and
generalized exponential, and two term models.                          Markets showed that the total West European
Nonlinear regression analysis performed to relate the
                                                                       dehydrated food market was worth Euros 11.5 billion
                                                                       in 2009. Strictly speaking, during drying processes,
parameters of the model with the drying conditions.
                                                                       the key factor of all traditional and innovative
The performance of these models evaluated by
                                                                       techniques is the mass transfer from vegetable tissues
comparing the coefficient of determination, R2, and
                                                                       to its surrounding and vice versa. In general, water is
reduced chi-square, χ2, between the observed and
                                                                       the component that moves from vegetable tissues
predicted moisture ratio. Among all these model page
                                                                       toward the surrounding air but this transfer may
model was found to be best describe the drying                         occurs through several mechanisms such as capillary
behavior of spinach leaves .the standard error of                      flow, diffusion of water due to concentration
estimation was least(0.004-0.031) as well as coefficient of            differences, surface diffusion, vapor diffusion in the
determination (R2)was highest (0.991-1) in page model                  pores due to pressure gradient, water vaporization-
as compared to other models.                                           condensation (Ibarz and Barbosa-Canovas, 2003),
                                                                       etc.; moreover, some of these mechanisms may affect
Keywords: Thin layer drying, (SEE) Standard Error                      each other, making the drying a very complex
Estimation, (RSS) Residual Sum of Square, (Me)
                                                                       phenomenon. In general process of drying requires
Equilibrium Moisture Content, (MR) Moisture
Ratio,(Ra)adjustable coefficient of determination.                     latent heat of vaporization to evaporate moisture,
                                                                       fundamental research with aid of mathematical
                                                                       modeling and numerical simulation provides an
              I.   INTRODUCTION
                                                                       extremely powerful and cognitive tool for
                                                                       investigating the complicated physics that evolve
Spinach (Spinacia oleracea) is a flowering plant in
                                                                       during the drying of wet porous materials (Turner
the family of Amaranthaceae and locally known as
                                                                       and Majumdar1997).
Palak. It is native to central and Southwestern Asia.
                                                                       Drying mechanism is a complicated one and still it
In India it is cultivated in almost all the state. It is a
rich source of iron ,magnesium and potassium and                       could not be understand by any mathematical model
extraordinary high in vitamins C,A,E,B6,and                            or physical law therefore for better understanding of
thiamine(Wikipedia Encyclopedia 2011 Drying                            drying in falling rate period an experiment was
processes not only Inhibit microbial growth but also                   performed for better understanding of drying of
several biological and chemical degradation                            spinach for highly perishable product like spinach
reactions; nevertheless, they also affect sensorial and


                                                                                                                         153

                                          All Rights Reserved © 2012 IJARCET
ISSN: 2278 – 1323
                            International Journal of Advanced Research in Computer Engineering & Technology
                                                                                Volume 1, Issue 4, June 2012


moderate to low temperature drying is more suitable        B. Experimental method
to achieve quality dehydrated product(Kanawade and         Drying experiments were carried out in cabinet dryer
Narain1993).The removal of moisture prevents the           (universal hot air oven, tradevel scientific industries,
                                                           least count 10C) and installed in Department of Post
growth of micro organism and minimizes many of
                                                           Harvest Process and Food Engineering, College of
the moisture induced deteriorative reaction.               Agriculture Engineering (JNKVV, JABALPUR).
(Mazumdar, 1995).                                          Sample were weighed in digital balance (METTLER,
Blanching of vegetable is carried out before drying to     least count 0.001g )according to the loading density
inactivate natural enzymes in order to improve             of 3.0kg/m2 and 3.5kg/m2 and placed in a stainless
colour, texture and ultimately the overall                 steel mesh tray of size 0.0123m2 and 0.0168 m2giving
acceptability of product (Ahmed et al., 2001) for          equivalent sample weight of 70g and 80g
green vegetable, pretreatment prior to drying can aid      corresponding to different loading densities. Method
the chlorophyll retention during drying .several           recommended by Ranganna (1986) was used for
studies have been carried out to investigate the effect    determination of moisture content and for all
of pretreatment and hot air temperature on quality of      experiments the initial moisture content was taken to
processed vegetables (Kaur et al., 2006).                  be 1418.37 %( d.b.).The sample of both blanched and
In recent work drying equation has developed for           Unblanched were subjected to uniform air velocity
paddy by using hot air, carbon dioxide and nitrogen        2.2 m/s at specified three level of temperature
gases as a drying medium(Siri Doungporn et                 (55.65,and 75 0C) and two level of loading density
al.2011).And(Gulsah cakmak & cengiz Yildiz ,2011)          (3.0 and 3.5 kg/m2) .The sample were dried for a
Experimentally evaluating the drying kinetics of           minimum of eight hours of drying. Weights of the
seeded grapes. They performed experiments with             samples were recorded after every hour during drying
different air velocities and evaluate moisture ratio       process. The dried samples were cooled under
value at different conditions. The obtained moisture       laboratory conditions after each drying experiments,
ratio value values have been applied to six different      and were kept in air tight jars. The experiments were
moisture ratio models in the literature .The model         triplicate and average of the moisture ratio at each
having highest correlation coefficient (R) and lowest      value was used for drawing the drying curves.
chi-square (χ2) value has been determined as the most
relevant one .In existing literature drying behavior of            III. RESULTS AND DISCUSSIONS
spinach leaves has not been described. Therefore
present study was conducted with the following             It was attempted to describe the drying process of
specific objectives.                                       spinach leaves by fitting the experimental data on
(1) To study the drying characteristic of spinach at       selected drying model for mathematical modeling of
various temperature.                                       it. The suitability of drying models was evaluated on
(2) To study the effect of pretreatment on drying          the basis of regression coefficient value (R2),
characteristics of spinach leaves.                         standard error of estimation (SEE). The best model
(3) To select a best model to describe the behavior of     describing the drying characteristic of sample was
spinach and develop a drying equation.                     chosen as the one with the highest coefficient of
                                                           determination and the least reduced chi-square error
            II. EXPERIMENTAL METHOD                        (Ozdemir and Devres 1999; Ait Mohamed et al.
                                                           2005). The reduced chi-square value can be
A. Materials                                               calculated as follows:
Fresh spinach leaves were procured from local
market everyday prior to the experiment. They were
washed with tap water the moisture on the wet
sample surface was removed with filter paper .The          Where MRexp,i and MR pre,i are experimental and
average value of moisture content 93.41% (w.b.)            predicted dimensionless moisture ratio, respectively
which shows that spinach leaves can be grouped             N is the number of observations and z is number of
under highly perishable vegetables. Spinach leaves         constants. And the value of MR moisture ratio is
were pre treated by blanching with distilled water.        calculated by the help of equilibrium moisture
Treated sample were placed over filter paper               content which is calculated by the method developed
(Wattman filter paper .size 41 A) for 1 minute to          by Henderson and Perry (1976)
absorb excess water.




                                                                                                              154

                                       All Rights Reserved © 2012 IJARCET
ISSN: 2278 – 1323
                            International Journal of Advanced Research in Computer Engineering & Technology
                                                                                Volume 1, Issue 4, June 2012


Where, Mo and M are the moisture content (% db) at                mathematical models were used which is mentioned
time (θ) equal to zero and at any time (θ). To                    in   table.1for exponential   model     equation.
simulate the experimental drying curves some


                                         Table 1 for exponential model equations

S.No.          Model Name                               Model Equation                             References


1       Page (1949)                                                                         Page


2       Henderson and pabis (1969)                                                          Henderson and Pabis


3       Newton (1971)                                                                       O’ Callaghan et al.


4       Modified Page(1973)                                                                 Overhults et al.


5       Two Term (1980)                                                                     Sharaf-Eldeen et al.


6       Midilli (2002)                                                                      Midilli et al.



All these equations used the moisture ratio (MR) as               variation in moisture ratio with drying time in terms
dependent variable, which related the gradient of the             of reduction in moisture content were drawn. The
sample moisture content in real time with the initial             experimental data for drying of spinach leaves was
moisture content and equilibrium moisture content.                statistically and graphically analyzed with the help of
The experimental drying data were graphically                     Data FIT 8.2 and spread sheet (EXCEL) software
analyzed. Variations of moisture content with time,               packages on personal computer
variation in drying rate with drying time and




                  Fig.1 curve for moisture ratio of spinach at different temperature at 55 oC, 65oC, 75oC



                                                                                                                    155

                                       All Rights Reserved © 2012 IJARCET
ISSN: 2278 – 1323
                              International Journal of Advanced Research in Computer Engineering & Technology
                                                                                  Volume 1, Issue 4, June 2012


On the basis of experimental results and data analysis          higher temperatures also the pretreatment had an
the following conclusion were drawn.                            insignificant role on the drying rate.
From( figure-1) total drying time considerably                  The page model was found to best describe the
reduces with the increase in drying air temperature             drying behavior of spinach leaves .The standard error
from 550C to 75 0C and the spinach does not dry at a            of estimation was least (0.004-0.031) as well as the
constant rate the whole drying took place in falling            coefficient of determination (R2) was highest (0.991-
rate period only. Drying rate increased with increased          1) in page model as compared to other models. And
with temperature and decreased with decreased with              statistical parameter for drying model was given in
temperature. And the load densities had a small and             the table given below.
insignificant role on the drying rate especially at
                                   Table 2 Comparison of different exponential models

Temperature, Loading      Rank     Model            Standard Error     RSS              R2            Ra2
      density

65oC, 3 kg/m2treated      1        Page model       0.027094444        0.005138762      0.994569804   0.993794062

75oC,3.5kg/m2untreated    1        Modified         0.004593624        0.00014771       0.999848136   0.999826441
                                   Page

75oC,3.5                  2        Page model       0.004593624        0.00014771       0.999848136   0.999826441
kg/m2untreated

75oC,3.5                  5        Generalized      0.031383051        0.006894271      0.992911836   0.991899241
kg/m2untreated                     exponential
                                   model

753.5 kg/m2untreated      6        Two      term    0.037132926        0.006894271      0.992911836   0.988658938
                                   model



                         Figure 2 comparisons between experimental and predicted values of MR




                                                                                                                156

                                       All Rights Reserved © 2012 IJARCET
ISSN: 2278 – 1323
                                  International Journal of Advanced Research in Computer Engineering & Technology
                                                                                      Volume 1, Issue 4, June 2012



IV. CONCLUSION                                                           [10] Akpinar, E.K. 2006. Mathematical modelling of
                                                                              thin layer drying process under open sun of some
                                                                              aromatic plants. J. Food Eng. 77, 864–870.
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temperature were studied in this work .The drying                             2005. Comparison of water blanching and high
curve showed a clear exponential tendency and the                             hydrostatic pressure effects on dryingkinetics and
                                                                              quality of potato. Drying Technol. 23, 2449–
formula used to simulate the experimental reading is                          2461.
                                                                         [12] Bajgai, T.R. and Hashinaga, F. 2001. Drying
                              )                                               spinach with a high electric field. Drying
    MR= 1.15125 e(-0.2535t                                (3)
                                                                              Technol. 19, 2331–2341
                                                                         [13]   Baysal, T., Icier, F., Ersus, S. and Yildiz, H.
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                                                                              on the quality of carrot and garlic. Eur. Food Res.
                    REFERENCES                                                Technol.218,68–73.
                                                                         [14] Bruce, D.M. 1985. Exposed-layer barley drying,
                                                                              three models fitted to new data up to 150°C. J.
        [1]   WIKIPEDIA ENCYCLOPEDIA. 20011. Spinach.
                                                                              Agric. Eng. Res. 32, 337–347.
              Available     from     http://    en.wikipedia.org
                                                                         [15] Bruin, S. and Luyben, K., 1980, in Mujumdar, A.S.
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        [2]   IBARZ,A;       BARBOSA         CANOVAS,G.V.Unit
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              Operations in Food Engineering. Boca
                                                                         [16]   C ¸ akmak, G. and Yıldız, C., 2009, Design of a
              Raton:CRC Press LLC. 2003.
                                                                              new solar dryer system with swirling flow for
        [3]   Mazumdzar , A.S. 1995. Handbook of industrial
                                                                              drying seeded grape. Int.Commun. Heat Mass
              drying. New York: Marcel dekker.
                                                                              Transfer, 36:984–990.
        [4]    Kanwade ,V.L.and Narain M. 1993. Fluidized
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              bed drying of peas. Journal of Food Science and
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              Technology. 30(2),118-120.
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        [5]    Ahmed, J.;Shi.S. and Singh,G.2001.Drying
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  • 1. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 4, June 2012 Mathematical Modeling of Hot Air Drying of Spinach Leaves in Universal Hot Air Oven A.K.Upadhyaya 1, Bhupendra Gupta 2, Sanjeev Garg 3, Mohan Singh4, Mukesh Pandey5 1 Student of ME, Mechanical Engineering (Heat power), JEC Jabalpur 2 Faculty of Mechanical Engineering Department, JEC Jabalpur 3 Faculty of Post Harvest Process and Food Engineering, JNKVV Jabalpur 4 Faculty of Post Harvest Process and Food Engineering, JNKVV Jabalpur 5 Dean (academics) and Professor, Department of Energy, RGPV, Bhopal Abstract- The objective of this study was to develop a nutritional characteristics promoting the collapse of model for drying characteristic curve of Spinach in vegetable tissues and the degradation of vitamins and Universal Hot Air Oven .Drying experiment were antioxidants(Ibarz and Barbosa- conducted using a constant air velocity2.2m/s and three Canovas,2003).Moreover, in the last 30 years the drying air temperature of 55, 65, and75 oC with two need of new technologies allowed to develop several pretreatment conditions and load densities that are dehydration methods Such as hot air dehydration, given respectively condition (Blanched and osmotic dehydration, microwave dehydration, Unblanched) load density (3kg/m2, 3.5 kg/m2).The infrared (IR) dehydration, ultrasonic dewatering, drying rate increased with increased in temperature hybrid technologies, etc. The introduction of these and decrease with increase in time. Pretreatment and technologies in food industries has increased the load densities had an insignificant role on drying rate. quality of dried vegetables leading to an exponential The experimental drying data of spinach applied to four increase of the market of these products. For moisture ratio models, namely, page l, modified page, instance, a report published from Research and generalized exponential, and two term models. Markets showed that the total West European Nonlinear regression analysis performed to relate the dehydrated food market was worth Euros 11.5 billion in 2009. Strictly speaking, during drying processes, parameters of the model with the drying conditions. the key factor of all traditional and innovative The performance of these models evaluated by techniques is the mass transfer from vegetable tissues comparing the coefficient of determination, R2, and to its surrounding and vice versa. In general, water is reduced chi-square, χ2, between the observed and the component that moves from vegetable tissues predicted moisture ratio. Among all these model page toward the surrounding air but this transfer may model was found to be best describe the drying occurs through several mechanisms such as capillary behavior of spinach leaves .the standard error of flow, diffusion of water due to concentration estimation was least(0.004-0.031) as well as coefficient of differences, surface diffusion, vapor diffusion in the determination (R2)was highest (0.991-1) in page model pores due to pressure gradient, water vaporization- as compared to other models. condensation (Ibarz and Barbosa-Canovas, 2003), etc.; moreover, some of these mechanisms may affect Keywords: Thin layer drying, (SEE) Standard Error each other, making the drying a very complex Estimation, (RSS) Residual Sum of Square, (Me) phenomenon. In general process of drying requires Equilibrium Moisture Content, (MR) Moisture Ratio,(Ra)adjustable coefficient of determination. latent heat of vaporization to evaporate moisture, fundamental research with aid of mathematical modeling and numerical simulation provides an I. INTRODUCTION extremely powerful and cognitive tool for investigating the complicated physics that evolve Spinach (Spinacia oleracea) is a flowering plant in during the drying of wet porous materials (Turner the family of Amaranthaceae and locally known as and Majumdar1997). Palak. It is native to central and Southwestern Asia. Drying mechanism is a complicated one and still it In India it is cultivated in almost all the state. It is a rich source of iron ,magnesium and potassium and could not be understand by any mathematical model extraordinary high in vitamins C,A,E,B6,and or physical law therefore for better understanding of thiamine(Wikipedia Encyclopedia 2011 Drying drying in falling rate period an experiment was processes not only Inhibit microbial growth but also performed for better understanding of drying of several biological and chemical degradation spinach for highly perishable product like spinach reactions; nevertheless, they also affect sensorial and 153 All Rights Reserved © 2012 IJARCET
  • 2. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 4, June 2012 moderate to low temperature drying is more suitable B. Experimental method to achieve quality dehydrated product(Kanawade and Drying experiments were carried out in cabinet dryer Narain1993).The removal of moisture prevents the (universal hot air oven, tradevel scientific industries, least count 10C) and installed in Department of Post growth of micro organism and minimizes many of Harvest Process and Food Engineering, College of the moisture induced deteriorative reaction. Agriculture Engineering (JNKVV, JABALPUR). (Mazumdar, 1995). Sample were weighed in digital balance (METTLER, Blanching of vegetable is carried out before drying to least count 0.001g )according to the loading density inactivate natural enzymes in order to improve of 3.0kg/m2 and 3.5kg/m2 and placed in a stainless colour, texture and ultimately the overall steel mesh tray of size 0.0123m2 and 0.0168 m2giving acceptability of product (Ahmed et al., 2001) for equivalent sample weight of 70g and 80g green vegetable, pretreatment prior to drying can aid corresponding to different loading densities. Method the chlorophyll retention during drying .several recommended by Ranganna (1986) was used for studies have been carried out to investigate the effect determination of moisture content and for all of pretreatment and hot air temperature on quality of experiments the initial moisture content was taken to processed vegetables (Kaur et al., 2006). be 1418.37 %( d.b.).The sample of both blanched and In recent work drying equation has developed for Unblanched were subjected to uniform air velocity paddy by using hot air, carbon dioxide and nitrogen 2.2 m/s at specified three level of temperature gases as a drying medium(Siri Doungporn et (55.65,and 75 0C) and two level of loading density al.2011).And(Gulsah cakmak & cengiz Yildiz ,2011) (3.0 and 3.5 kg/m2) .The sample were dried for a Experimentally evaluating the drying kinetics of minimum of eight hours of drying. Weights of the seeded grapes. They performed experiments with samples were recorded after every hour during drying different air velocities and evaluate moisture ratio process. The dried samples were cooled under value at different conditions. The obtained moisture laboratory conditions after each drying experiments, ratio value values have been applied to six different and were kept in air tight jars. The experiments were moisture ratio models in the literature .The model triplicate and average of the moisture ratio at each having highest correlation coefficient (R) and lowest value was used for drawing the drying curves. chi-square (χ2) value has been determined as the most relevant one .In existing literature drying behavior of III. RESULTS AND DISCUSSIONS spinach leaves has not been described. Therefore present study was conducted with the following It was attempted to describe the drying process of specific objectives. spinach leaves by fitting the experimental data on (1) To study the drying characteristic of spinach at selected drying model for mathematical modeling of various temperature. it. The suitability of drying models was evaluated on (2) To study the effect of pretreatment on drying the basis of regression coefficient value (R2), characteristics of spinach leaves. standard error of estimation (SEE). The best model (3) To select a best model to describe the behavior of describing the drying characteristic of sample was spinach and develop a drying equation. chosen as the one with the highest coefficient of determination and the least reduced chi-square error II. EXPERIMENTAL METHOD (Ozdemir and Devres 1999; Ait Mohamed et al. 2005). The reduced chi-square value can be A. Materials calculated as follows: Fresh spinach leaves were procured from local market everyday prior to the experiment. They were washed with tap water the moisture on the wet sample surface was removed with filter paper .The Where MRexp,i and MR pre,i are experimental and average value of moisture content 93.41% (w.b.) predicted dimensionless moisture ratio, respectively which shows that spinach leaves can be grouped N is the number of observations and z is number of under highly perishable vegetables. Spinach leaves constants. And the value of MR moisture ratio is were pre treated by blanching with distilled water. calculated by the help of equilibrium moisture Treated sample were placed over filter paper content which is calculated by the method developed (Wattman filter paper .size 41 A) for 1 minute to by Henderson and Perry (1976) absorb excess water. 154 All Rights Reserved © 2012 IJARCET
  • 3. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 4, June 2012 Where, Mo and M are the moisture content (% db) at mathematical models were used which is mentioned time (θ) equal to zero and at any time (θ). To in table.1for exponential model equation. simulate the experimental drying curves some Table 1 for exponential model equations S.No. Model Name Model Equation References 1 Page (1949) Page 2 Henderson and pabis (1969) Henderson and Pabis 3 Newton (1971) O’ Callaghan et al. 4 Modified Page(1973) Overhults et al. 5 Two Term (1980) Sharaf-Eldeen et al. 6 Midilli (2002) Midilli et al. All these equations used the moisture ratio (MR) as variation in moisture ratio with drying time in terms dependent variable, which related the gradient of the of reduction in moisture content were drawn. The sample moisture content in real time with the initial experimental data for drying of spinach leaves was moisture content and equilibrium moisture content. statistically and graphically analyzed with the help of The experimental drying data were graphically Data FIT 8.2 and spread sheet (EXCEL) software analyzed. Variations of moisture content with time, packages on personal computer variation in drying rate with drying time and Fig.1 curve for moisture ratio of spinach at different temperature at 55 oC, 65oC, 75oC 155 All Rights Reserved © 2012 IJARCET
  • 4. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 4, June 2012 On the basis of experimental results and data analysis higher temperatures also the pretreatment had an the following conclusion were drawn. insignificant role on the drying rate. From( figure-1) total drying time considerably The page model was found to best describe the reduces with the increase in drying air temperature drying behavior of spinach leaves .The standard error from 550C to 75 0C and the spinach does not dry at a of estimation was least (0.004-0.031) as well as the constant rate the whole drying took place in falling coefficient of determination (R2) was highest (0.991- rate period only. Drying rate increased with increased 1) in page model as compared to other models. And with temperature and decreased with decreased with statistical parameter for drying model was given in temperature. And the load densities had a small and the table given below. insignificant role on the drying rate especially at Table 2 Comparison of different exponential models Temperature, Loading Rank Model Standard Error RSS R2 Ra2 density 65oC, 3 kg/m2treated 1 Page model 0.027094444 0.005138762 0.994569804 0.993794062 75oC,3.5kg/m2untreated 1 Modified 0.004593624 0.00014771 0.999848136 0.999826441 Page 75oC,3.5 2 Page model 0.004593624 0.00014771 0.999848136 0.999826441 kg/m2untreated 75oC,3.5 5 Generalized 0.031383051 0.006894271 0.992911836 0.991899241 kg/m2untreated exponential model 753.5 kg/m2untreated 6 Two term 0.037132926 0.006894271 0.992911836 0.988658938 model Figure 2 comparisons between experimental and predicted values of MR 156 All Rights Reserved © 2012 IJARCET
  • 5. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 4, June 2012 IV. CONCLUSION [10] Akpinar, E.K. 2006. Mathematical modelling of thin layer drying process under open sun of some aromatic plants. J. Food Eng. 77, 864–870. Drying characteristic of spinach leaves at different [11] AL-Khuseibi, M.k., Sablani,S.S. and Perera, c.o. temperature were studied in this work .The drying 2005. Comparison of water blanching and high curve showed a clear exponential tendency and the hydrostatic pressure effects on dryingkinetics and quality of potato. Drying Technol. 23, 2449– formula used to simulate the experimental reading is 2461. [12] Bajgai, T.R. and Hashinaga, F. 2001. Drying ) spinach with a high electric field. Drying MR= 1.15125 e(-0.2535t (3) Technol. 19, 2331–2341 [13] Baysal, T., Icier, F., Ersus, S. and Yildiz, H. 2003. Effects of microwave and infrared drying on the quality of carrot and garlic. Eur. Food Res. REFERENCES Technol.218,68–73. [14] Bruce, D.M. 1985. Exposed-layer barley drying, three models fitted to new data up to 150°C. J. [1] WIKIPEDIA ENCYCLOPEDIA. 20011. Spinach. Agric. Eng. Res. 32, 337–347. Available from http:// en.wikipedia.org [15] Bruin, S. and Luyben, K., 1980, in Mujumdar, A.S. /wiki/Spinach (accessed June 2, 20011). (ed)(McGraw-Hill Co, US), pp.155– [2] IBARZ,A; BARBOSA CANOVAS,G.V.Unit 215.(McGraw-Hill Co, US). Operations in Food Engineering. Boca [16] C ¸ akmak, G. and Yıldız, C., 2009, Design of a Raton:CRC Press LLC. 2003. new solar dryer system with swirling flow for [3] Mazumdzar , A.S. 1995. Handbook of industrial drying seeded grape. Int.Commun. Heat Mass drying. New York: Marcel dekker. Transfer, 36:984–990. [4] Kanwade ,V.L.and Narain M. 1993. Fluidized [17] Diamante, L.M. and Munro, P.A. 1993. bed drying of peas. Journal of Food Science and Mathematical modeling of the thin layer solar Technology. 30(2),118-120. drying of sweet potato slices. Solar Energy 51, [5] Ahmed, J.;Shi.S. and Singh,G.2001.Drying 271–276. characteristics and product quality of coriander [18] Doymaz, I., 2006, Drying kinetics of black grapes leaves. Journal of Food Bioproduct treated with different solutions. J. Food Eng.,76: Processing,79,103-106. 212–217. [6] Kaur , P.; Kumar, A.; Arora, S. and Ghumann B. [19] Henderson, S.M. and Pabis, S., 1969, Grain S. 2006. Quality of dried coriander leaves as drying theory. I.Temperature effect on drying Affected by pretreatment and method of drying. coefficient. J. Agric. Eng. Res., 6:169–174. European Food Research and Technology.223, [20] Karathanos, V.T. and Belessiotis, V.G., 1999, 189-194. Application of a thin-layer equation to drying [7] Siri Doungporn ; Nattapol Poomsa-ad;Lamul data of fresh and semi-driedfruits. J. Agric. Eng. Wiset 2011.drying equationof thai hom paddy by Res.,74:355–361. using hot air carbon dioxide and nitrogen gases [21] Mulet, A., Berna, A., Borras, M. and Pinaga, F., as drying media.Journal of food and 1987, Effect of air flow rate on carrot drying. bioproduct processing,Elsevier Dry. Technol., 5: 245–258 [8] Gulsah C.;Cengiz Yild 2011; The drying kinetics [22] Planinic, M., Velic, D., Tomas, S., Bilic, M. and of seeded grape in solar dryer ;Journal of Bucic, A., 2005,Modelling of drying and Elsevier, Food and Bioproduct processing. rehydration of carrots using Peleg’smodel. Eur. [9] Ait Mohamed, l., Kouhila, M., Jamali, A., S., Food Res. Technol., 221: 446–451. Kechaou,N. and Mahrouz, M. 2005. Single layer solar drying behaviour of citrus aurantium leaves under forced convection. Energy convers. and manage. 46, 1473–1483. 157 All Rights Reserved © 2012 IJARCET