Microwave Drying of Parsley Modelling, Kinetics, and Energy Aspects

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Biosystems Engineering (2006) 93 (4), 403–413
doi:10.1016/j.biosystemseng.2006.01.017
PH—Postharvest Technology

Microwave Drying of Parsley: Modelling, Kinetics, and Energy Aspects

Y. Soysal

1

; S. O¨ztekin

2

; O¨. Eren

1

1

Department of Agricultural Machinery, Faculty of Agriculture, Mustafa Kemal University, Tayfur Sokmen Campus, 31040 Antakya, Hatay,

Turkey; e-mail: ysoysal@mku.edu.tr

2

Department of Agricultural Machinery, Faculty of Agriculture, C¸ukurova University, 01330 Balcalı, Adana, Turkey

(Received 23 March 2005; accepted in revised form 27 January 2006; published online 20 March 2006)

Parsley (Petroslinum crispum Mill.) leaves were dried in a 900 W 2450 MHz domestic microwave oven to assess
the effects of material load on drying time, drying rate, drying efficiency, and specific energy consumption.
Microwave drying experiments with different material loads ranging from 6430 to 12857 g were performed at
microwave power cycle of 9 s on/9 s off at 900 W microwave output power. Drying took place mainly in
constant rate and falling rate periods. A relatively long constant rate period was observed after a short heating
period. Among the 11 mathematical models tested to fit the drying rates of parsley leaves, the Midilli et al.
model with drying rate as a log–log and linear function of time gave the best fit for all the data points. The
value of the drying coefficient k decreased with the increase in the dried material load. The multiple regression
on the coefficients of the Midilli et al. model for the effects of material load being dried gave the successful
results and showed to satisfactorily represent microwave drying kinetics of parsley leaves for the material
loads between 6430 g and 12857 g. Increasing the material load resulted in a considerable increase in drying
efficiency and a significant decrease in specific energy consumption. About 95% increase in drying efficiency
and about 18% (092 MJ kg

1

[H

2

O]) decrease in specific energy consumption could be obtainable by

increasing the material load from 6430 to 12857 g.

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2006 Silsoe Research Institute. All rights reserved

Published by Elsevier Ltd

1. Introduction

The fresh or dried leaves, roots, and seeds of parsley

are widely used in the food, cosmetic, and pharmaceu-
tical industries to produce spice, essential oils, and
drugs. The dried leaves known as parsley flakes are
particularly used in the instant food sector as an
ingredient to flavour soups and sausages.

Natural drying (drying in the shade) and hot air

drying are still the best known and widely used methods
of drying. Natural drying has many disadvantages due
to the inability to handle the large quantities and to
achieve consistent quality standards (

Soysal & O¨ztekin,

2001

). The major drawbacks of conventional hot air

drying are the low energy efficiency and lengthy drying
time during the last stage of drying. For example,

Parker

(1999)

carried out the drying experiments for sweet

basil, pesto basil, marjoram, lemongrass, and parsley in
a hot air dryer with a capacity of 500 g fresh leaf

materials. It was reported that the hot air drying process
to attain the moisture content of 10% wet basis (wb)
took 18, 15, 6, and 5 h for 30, 40, 50, and 65 1C drying
air temperatures, respectively. It was also stated that the
drying temperature of 40 1C was ideal for drying parsley
regarding that colour is of primary importance in dried
herbs. Furthermore, in drying of leafy herbs, high initial
moisture contents up to 85% wb and low drying air
temperatures cause relatively high specific energy con-
sumption values up to 10 MJ kg

1

[H

2

O] (

Bushbeck et

al., 1967

).

Mu¨ller et al. (1989)

carried out bulk drying

experiments for peppermint, sage and hops in a green-
house type solar dryer with a capacity of 3 tonnes fresh
material. They reported that the specific energy con-
sumption for peppermint, sage and hops were 864, 936,
and 558 MJ kg

1

[H

2

O], respectively.

Soysal and

O¨ztekin (2001)

, performed batch drying experiments in

a tray type dryer with 145 kg of Mentha piperita and
120 kg of Hypericum perforatum. The specific energy

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403

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2006 Silsoe Research Institute. All rights reserved

Published by Elsevier Ltd

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consumption

of

the

dryer

for

M.

piperita

and

H. perforatum were reported as 4480 and 7694 MJ
kg

1

[H

2

O], respectively.

In general, energy efficiency in drying is closely related

to drying times. Compared to hot air drying, microwave
or hybrid/combined microwave drying techniques can
greatly reduce the drying time of biological materials
without quality degradation (

Drouzas et al., 1999

;

Moreno et al., 2000

;

Torringa et al., 2001

;

Nindo

et al., 2003

;

Beaudry et al., 2003

). Parsley like many

other agricultural crops is very attractive for microwave
drying as it contains high level of moisture.

Soysal

(2004)

studied the microwave drying of parsley leaves

with different microwave output power levels ranging
from 360 to 900 W. It was shown that by performing
microwave drying at 900 W output power instead of 30,
40, 50, and 65 1C hot air drying up to the moisture
content of 010 db, the drying time can be shortened
by 111, 92, 37, and 31 fold, respectively. The author
further stated that no significant difference was found
between the colour of fresh and microwave dried leaf
materials, except some decrease in brightness. Hence,
application of microwave energy to dry agricultural
materials may be a good approach to overcome certain
drawbacks of conventional drying techniques (

Gunase-

karan, 1999

).

There has been extensive research on microwave

drying examining a broad spectrum of fruits and
vegetables (

Bouraout et al., 1994

;

Tulasidas et al.,

1997

;

Funebo & Ohlsson, 1998

;

Maskan, 2000

;

Torringa

et al., 2001

;

Kaensup et al., 2002

;

Nindo et al., 2003

,

Soysal, 2004

). However, most of the literature presents

the quality of dried product, drying kinetics, dielectric
properties, application of the microwaves, and the
microwave heating mechanism. In addition, a number
of successful drying models have been developed to
explain the convective drying kinetics of various
agricultural products for use in design, construction,
and control of drying systems. However, less effort has
been made on the modelling of microwave drying
process including the process parameters embedded into
the drying model to explain the influence of process
variables on microwave drying kinetics. Only the New-
ton and the Page equations were used in some studies to
describe the microwave drying kinetics of the several
materials including: banana (

Maskan, 2000

), pear

(

Fumagalli and Silveira, 2004

), carrot (

Prabhanjan

et al., 1995

), kiwi (

Maskan, 2001

), garlic (

Sharma &

Prasad, 2001

), maize (

Shivhare et al., 1990

), grape

(

Tulasidas et al., 1993

), parsley (

Soysal, 2004

), model

fruit gel (

Drouzas et al., 1999

), and olive pomace (

Go¨gu¨s

& Maskan, 2001

).

Moreover, a number of successful microwave drying

attempts have been done at a research level (

Nijhuis

et al., 1998

). Nevertheless, microwave drying of fruits

and vegetables is still in its initial phase of acceptance in
industry due to the high initial costs and a lack of
documented energy analysis (

Nijhuis et al., 1998

;

Raghavan et al., 2004

;

Changrue et al., 2004

). Several

strategies have been suggested and applied by some
researchers to enhance the energy utilisation in micro-
wave drying (

Gunasekaran, 1990

;

Yongsawatdigul &

Gunasekaran, 1996

;

Gunasekaran, 1999

;

Kaensup et al.,

2002

;

Beaudry et al., 2003

;

Raghavan et al., 2004

). These

are: (a) combination of microwave and conventional
drying systems; (b) vacuum microwave drying to lower
the drying temperature; and (c) as opposed to contin-
uous exposure, pulsed or intermittent application of
microwave energy to avoid the overheating and improve
the energy efficiency.

In the research of

Tulasidas et al. (1995)

, the specific

energy consumption value was about 8115–9035 MJ
kg

1

[H

2

O] for convective drying of grapes. It is stated

that under similar convective conditions by the im-
plementation of microwave, the energy consumption
reduced to values ranging from 711 to 2432 MJ kg

1

[H

2

O] depending on the process conditions.

Shivhare et al. (1992)

reported that despite the

increase in total drying time of corn, intermittent
microwave drying yielded the product of higher quality
and reduced the energy consumption by reducing the
total microwave exposure time as compared to contin-
uous microwave drying.

Yongsawatdigul and Gunasekaran (1996)

studied

microwave vacuum drying of cranberries and showed
the pulsed application of microwave is more energy
efficient than the continuous application. The most
favourable value of specific energy consumption was
obtained at microwave power cycle of 30 s on/150 s off
at 250 W microwave output power. The mean value of
the specific energy consumption under this condition
was 266 MJ kg

1

[H

2

O] that indicates an improvement

of about 40–60% over conventional hot air drying and
about 46% over continuous microwave vacuum drying
(490 MJ kg

1

[H

2

O]).

Beaudry et al. (2003)

used combined microwave–hot

air drying for finish drying of osmotically dehydrated
cranberries and compared the effects of power densities
(075, 10, 125 W/g and power cycles of 30 s on/30 s off
and 30 s on/60 s off at 750 W microwave output power)
on the specific energy consumption and the quality of
product. Both microwave cycling period and applied
power density in intermittent microwave drying influ-
enced the energy consumption. It was concluded that
the combination of 075 W/g with cycling period of 30 s
on/60 s off was appropriate to dry cranberries in terms
of energy efficiency (90 MJ kg

1

[H

2

O]) and quality of

dried product.

ARTICLE IN PRESS

Y. SOYSAL ET AL.

404

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Apparently, microwave drying offers high potential

for savings in energy and time due to the volumetric
heating throughout the volume of the material ‘targeting’
mostly water, (

Venkatesh & Raghavan, 2004

). However,

there are two issues that need to be thoroughly clarified:

(a) research on the efficiency of microwave drying

concerning both energy and time of process is very
limited; and

(b) modelling of the microwave drying process including

the process variables embedded into the drying
model has not completely been studied.

Therefore, the aims of the present work were to:

(a) determine the effects of material load on the

efficiency of microwave drying including drying
time, drying rate, drying efficiency, and specific
energy consumption;

(b) compare the fitting ability of several drying equa-

tions to express the drying kinetics of parsley leaves
with the most suitable drying model; and

(c) describe the whole process in a general drying model

by embedding the effects of material load on the
coefficients of the best fitting model for the purpose
of simulation and scaling up of the process.

2. Materials and methods

2.1. Material

Fresh green parsley (Petroselinum crispum Mill.) leaves

used for the drying experiments were obtained from a
grower in the Hatay region of Turkey. The samples were
stored at 4

705 1C before they were used in experiments.

Prior to each of drying experiments, the samples were
taken out of storage and leaves from stems were
separated. Three 30 g leaf samples were dried in an oven
at 105 1C for 24 h to determine initial moisture content.
The initial moisture content of the parsley leaves were
ranged from 494 to 511 kg [H

2

O] kg

1

[dry matter, DM].

2.2. Drying equipment and experimental procedure

A programmable domestic microwave oven (Galanz

WP900AL23-Z1, China) with maximum output of 900
W at 2450 MHz was used for the drying experiments.
The dimensions of the microwave cavity were 215 mm
by 350 mm by 330 mm.The oven has a fan for air flow in
drying chamber and cooling of magnetron. The
moisture from drying chamber was removed with this
fan by passing it through the openings on the right side
of the oven wall to the outer atmosphere. The oven was
fitted with a glass turntable (314 mm diameter) and had

a digital control facility to adjust the microwave output
power by the 10% decrements and the time of
processing. The microwave oven power was set to cyclic
heating with 50% rating. This provided an intermittent
heating for a period of 9 s, followed by a pause for 9 s.
Six different amount of material loads (12857, 11240,
9990, 9010, 7513, and 6430 g) were investigated in
drying experiments at microwave power cycle of 9 s on/
9 s off at 900 W. The fresh leaf materials were uniformly
spread on the turntable inside the microwave cavity, for
an even absorption of microwave energy. Three
replicates were carried out for each experiment accord-
ing to preset time schedule based on the preliminary
tests. Depending on the drying conditions, moisture loss
was recorded at 1 or 3 min intervals during drying at the
end of power-on time by removing the turntable from
the microwave, and placing this, along with the leaf
sample on the digital balance (

Yongsawatdigul &

Gunasekaran, 1996

;

Maskan, 2000

).

The microwave power was applied until the mass of

the sample reduced to a level corresponding to a
moisture content of about 010 kg [H

2

O] kg

1

[DM].

2.3. Mathematical modelling of microwave drying curves

To determine the most suitable drying equation, the

microwave drying curves were fitted to experimental
data using 11 different moisture ratio M

R

equations

(

Table 1

). The equilibrium moisture content M

e

was

assumed to be zero for microwave drying, so that the
moisture ratio M

R

was simplified to M=M

0

instead of

the

M M

e

ð

Þ

= M

0

M

e

ð

Þ

(

Maskan, 2000

,

Soysal,

2004

), where M

0

is the initial moisture content in kg

[H

2

O] kg

1

[DM] and M is the moisture content at any

time in kg [H

2

O] kg

1

[DM] and M

e

is the equilibrium

moisture content in kg [H

2

O] kg

1

[DM].

The root mean square error E

RMS

and the modelling

efficiency Z

m

were used as the primary criterion to select

the best equation expressing the microwave drying curves
of parsley (

Tog˘rul & Pehlivan, 2002

;

Ertekin and Yaldiz,

2004

). The E

RMS

gives the deviation between the predicted

and experimental values. The lower the values of the
E

RMS

, the better the goodness of fit. The value for Z

m

, on

the other hand, determines the fitting ability of the
equation and it is required to reach 1 for the best results.
These statistical criterions can be calculated as follows:

E

RMS

¼

1

N

X

N

i¼1

M

R;cal;i

M

R;exp;i

2

"

#

1=2

(1)

Z

m

¼

P

N
i¼1

M

R;exp;i

M

R;exp;av

2

P

N
i¼1

M

R;cal;i

M

R;exp;i

2

P

N
i¼1

M

R;exp;i

M

R;exp;av

2

(2)

ARTICLE IN PRESS

MICROWAVE DRYING OF PARSLEY

405

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where: E

RMS

is the root mean square error; M

R;exp;i

is the

ith experimental moisture ratio; M

R;cal;i

is the ith

predicted moisture ratio; N is the number of observa-
tions; and M

R;exp;av

is the mean value of the experi-

mental moisture ratio.

In this study, the effect of material load on the

coefficients of the drying expression was also investi-
gated by multiple regression analysis. The coefficients of
the best fitting model involving the material load were
determined by investigating multiple combinations of
the different type of equations as simple linear,
logarithmic, exponential, power, arrhenius and rational.

2.4. Determination of the energy efficiency of microwave
drying

Effect of material load on the energy efficiency of

microwave drying at microwave power cycle of 9 s on/9 s
off at 900 W was evaluated by two different efficiency
indices as microwave drying efficiency in % and specific
energy consumption in MJ kg

1

[H

2

O]. The microwave

drying efficiency [Eqn (3)] was calculated as the ratio of
heat energy utilised for evaporating water from the
sample to the heat supplied by the microwave oven
(

Yongsawatdigul & Gunasekaran, 1996

;

Mousa &

Farid, 2002

). The cumulative drying efficiency values

were calculated as the averaged energy consumption for
water evaporation divided by the supplied microwave
energy in the, total power-on time t

on

in s:

Z

d

¼

m

w

l

w

PDt

on

100

(3)

where: Z

d

is the microwave drying efficiency in %; m

w

is

the mass of evaporated water in kg; l

w

is the latent heat

of vaporisation of water in J kg

1

; P is the average

microwave power in W; and Dt

on

is the time interval in s.

The latent heat of vaporisation of water at the
evaporating temperature (100 1C) was taken as 2257
kJ kg

1

(

Hayes, 1987

).

The specific energy consumption [Eqn (4)] was

calculated as the energy needed to evaporate a unit
mass of water (

Yongsawatdigul & Gunasekaran, 1996

).

Q

s

¼

t

on

P 10

6

m

w

(4)

where: Q

s

is the specific energy consumption to

evaporate a unit mass of water from the product in
MJ kg

1

[H

2

O].

3. Results and discussion

3.1. Effect of material load on drying kinetics

The moisture content versus time curves for micro-

wave drying of parsley leaves as influenced by the
material load dried at microwave power cycle of 9 s on/
9 s off at 900 W are shown in

Fig. 1

. The microwave

drying process which reduced the material moisture
contents from 494 to 511 kg [H

2

O] kg

1

[DM] to

moisture content of 010 kg [H

2

O] kg

1

[DM] took

900–1467 min, depending on the drying conditions
(

Fig. 1

). The higher the material load, the longer was the

drying time of parsley leaves. As the variation in initial
moisture contents of the material used in drying
experiments were relatively very small, the difference
in drying time requirements was considered to be mainly
due to the difference in material load. Further, the
applied microwave power density for unit mass of dried

ARTICLE IN PRESS

Table 1

Mathematical models given by various authors for drying curves

Model no

Model equation

Name

References

1

M

R

¼

expðktÞ

Newton

O’Callaghan et al. (1971)

2

M

R

¼

expðkt

n

Þ

Page

Page (1949)

3

M

R

¼

a expðktÞ

Henderson and Pabis

Henderson and Pabis (1961)

4

M

R

¼

a expðktÞ þ b

Logarithmic

Yagcioglu et al. (1999)

5

M

R

¼

a expðkt

n

Þ þ

bt

Midilli et al.

Midilli et al. (2002)

6

M

R

¼

1 þ at þ bt

2

Wang and Singh

Wang and Singh (1978)

7

M

R

¼

b=ð1 þ a expðktÞÞ

Logistic

Chandra and Singh (1995)

8

M

R

¼

a expðktÞ þ b expðk

1

Two–term

Henderson (1974)

9

M

R

¼

a expðktÞ þ ð1 aÞ expðbtÞ

Verma et al.

Verma et al. (1985)

10

M

R

¼

a expðktÞ þ ð1 aÞ expðkatÞ

Two-term

exponential

Sharaf-Elden et al. (1980)

11

M

R

¼

a expðktÞ þ ð1 aÞ expðkbtÞ

Diffusion

approximation

Yaldiz and Ertekin (2001)

M

R

, moisture ratio (dimensionless); k and k

1

drying coefficients in min

1

; n, exponent (dimensionless); t, time in min; a and b, coefficients

(dimensionless), specific to individual equations.

Y. SOYSAL ET AL.

406

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material decreased with increased material load. Higher
drying rates were obtained at lower material loads due
to the increase in applied microwave power density for
unit mass of dried product. When drying the leaf
materials, a period of constant drying rate which
depends on the applied microwave power density,
material load and duration was observed (

Fig. 2

). The

length of this period decreased with increased power
density. And at a maximum power density or lowest
material load, the constant rate period was practically
absent as inferred from

Fig. 2

. These results were in

good agreement with some studies (

Mowlah et al., 1983

;

Mousa & Farid, 2002

;

Kaensup et al., 2002

;

Soysal

2004

). The rapidly decreasing falling rate period

followed the constant rate period and started below
the 05 kg [H

2

O] kg

1

[DM].

3.2. Modelling of drying curves

The results of the statistical computations for the

microwave drying data are shown in

Fig. 1

. The fitting

ability of 11 drying models expressing the changes in the
moisture ratios with drying time are presented in

Table 2

as the values of the coefficients and statistical para-
meters found for the respective models. Among the all
drying models used in this study, the

Midilli et al. (2002)

model, with drying rate as a log–log and linear function
of time, gave the best fit for all the experimental data
point with values for the Z

m

of greater than 09974 and

the E

RMS

of lower than 00179. Thus, this model

represented the experimental values satisfactorily.

The drying coefficient k decreased with the increase in

dried material load. These results were in good
agreement with the drying rate data, which follow the
similar trends.

Further regressions were undertaken to account for

the effect of material load on the Midilli et al. model
coefficients. The effect of the material load on the
coefficients of a and b, exponent n and drying coefficient
k were also included in the model by multiple regression
analysis [Eqn (5)]. The consistency of model (5) and
relationship between the coefficients and dried material
load is evident with the values for E

RMS

of 00019 and

Z

m

of 09982 for the combined data.

M

R

¼

M

M

0

¼ ð

08717m

00274

Þ

expðð728601m

18344

Þ

t

ð

31159m

0113

Þ

Þ þ ð

00001m

10367

Þ

t

ð

where: m is the material load in g; t is the drying time
in min.

On the other hand, the most suitable result of model

(5) depending on the material load are given in

Table 3

.

The E

RMS

values were changed between 00002 and

00013 and the Z

m

between 09966 and 09995 depending

on the material load. It can be seen that model (5) was in
good agreement with the experimental results. However,
it should be noted that these data are specific to
microwave dryer used in this study. This expression is
only valid for the material load between 6430 and
12857 g and can successfully be used to estimate the
moisture content of parsley leaves at any time during the
microwave drying at microwave power cycle of 9 s on/9 s
off at 900 W microwave output power.

Changes of the experimental and predicted moisture

ratio values with drying time for different material load

ARTICLE IN PRESS

0.00

0.25

0.50

0.75

1.00

0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0

Moisture content kg [H

2

O] kg

−1

[DM]

Drying rate, kg [H

2

O] kg

1

[DM] min

1

Fig. 2. Relationship between the drying rate and moisture
content (kg [H

2

O] kg

1

[DM]) at different material load dried

at microwave power cycle of 9 s on/9 s off at 900 W microwave
output power; ’, 12857 g; m, 11240 g; E, 9990 g; &, 9010

g;

W

, 7513 g; J, 6430 g

0.0

0

1 2 3 4 5 6

7 8 9 10 11 12 13 14 15

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

5.0

5.5

Drying time, min

Moisture content, kg [H

2

O] kg

1

[DM]

Fig. 1. Relationship between the moisture content (kg [H

2

O]

kg

1

[DM]) and drying time at different material load dried at

microwave power cycle of 9 s on/9 s off at 900 W microwave
output power; ’, 12857 g; m, 11240 g; E, 9990 g; &, 9010

g;

W

, 7513 g; J, 6430 g

MICROWAVE DRYING OF PARSLEY

407

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ARTICLE IN PRESS

Table 2

Statistical parameters and the values of the coefficients specific to each model for various material loads dried at microwave power

cycle of 9 s on/9 s off at 900 W output power

Model
no

Material load, g

Drying

coefficient

(k),min

1

Drying

coefficient

(k

1

)

Exponent

(n)

Coefficient

(a)

Coefficient

(b)

Root mean

square

error

Modelling

efficiency

1

12857

01027

01169

08727

11240

01177

01182

08773

9990

01281

01221

08720

9010

01398

01219

08736

7513

01674

01169

08832

6430

02045

01113

08982

2

12857

00102

20529

00325

09902

11240

00130

20530

00299

09922

9990

00137

21078

00305

09921

9010

00165

21030

00304

09921

7513

00265

20487

00289

09929

6430

00433

19647

00279

09936

3

12857

01199

11458

01008

09054

11240

01370

11488

01019

09088

9990

01486

11482

01062

09032

9010

01616

11415

01064

09038

7513

01910

11313

01033

09089

6430

02296

11210

00993

09190

4

12857

00009

757615

746987

00262

09936

11240

00024

326707

316159

00304

09919

9990

00020

434841

424252

00311

09917

9010

00022

425134

414561

00310

09918

7513

00053

209279

198807

00334

09905

6430

00324

42884

32463

00386

09878

5

12857

00094

18167

09931

00191

00071

09995

11240

00131

18883

09854

00111

00134

09984

9990

00136

19336

09845

00127

00123

09987

9010

00166

19165

09862

00138

00127

09986

7513

00251

19165

09820

00125

00145

09982

6430

00408

18799

09794

00091

00179

09974

6

12857

00493

00014

00209

09959

11240

00616

00010

00337

09901

9990

00642

00015

00323

09911

9010

00704

00016

00327

09909

7513

00901

00015

00363

09887

6430

01218

00006

00422

09854

7

12857

03695

00556

10276

00261

09937

11240

04124

00573

10319

00241

09949

9990

04620

00502

10223

00242

09950

9010

04999

00514

10250

00247

09948

7513

05812

00573

10313

00220

09959

6430

06570

00694

10447

00212

09963

8

12857

02445

02802

99388

89837

00543

09726

11240

00173

00282

22771

12335

00301

09921

9990

00094

00270

28875

18475

00292

09927

9010

00109

00284

28994

18591

00285

09926

7513

00205

00282

27708

17316

00332

09906

Y. SOYSAL ET AL.

408

background image

dried at microwave power cycle of 9 s on/9 s off at 900 W
microwave output power were given in

Fig. 3

. The

established model was validated by comparing the
predicted moisture ratios to the experimental values
from all drying experiments. The predicted data banded
over the straight line of the 1:1 ratio, with a value for the
determination coefficient R

2

of 09982 (

Fig. 4

). The

linear regression of these results gave the expression as

M

R;cal

¼

09975M

R;exp

þ

00017

(6)

3.3. Effect of material load on the energy efficiency of
microwave drying

Effect of material load on the energy efficiency of

microwave drying was evaluated by two different
efficiency indices as microwave drying efficiency in %
and specific energy consumption in MJ kg

1

[H

2

O]. The

changes of the microwave drying efficiency with
moisture content for various material loads were
illustrated in

Fig. 5

.

Although the microwave drying efficiency for the leaf

material differed between material loads, the microwave
drying efficiency was about 30% at the beginning of
drying process, and then showed a rapidly increasing
tendency to a moisture content of about 375 kg [H

2

O]

kg

1

[DM]. Apparently, during the initial few minutes,

the microwave energy applied was used in raising the
material temperature and very little moisture was
evaporated (

Figs 2 and 5

). Thus, initial heating phase

during the first few minutes lead to lower drying
efficiency values compared to cumulative drying effi-
ciency values for the respective drying conditions given
in

Table 4

. After a slow increasing tendency to about the

moisture content of 175 kg [H

2

O] kg

1

[DM], the

microwave drying efficiency reached to its maximum
value and was varied between 60% and 68% depending
on the material load ranging from 6430 to 12857 g,
respectively. Then, it was almost remained constant up
to the moisture contents of about 125 kg [H

2

O] kg

1

[DM] to 075 kg [H

2

O] kg

1

[DM]. Below these moisture

ARTICLE IN PRESS

Table 2 (

continued )

Model
no

Material load, g

Drying

coefficient

(k),min

1

Drying

coefficient

(k

1

)

Exponent

(n)

Coefficient

(a)

Coefficient

(b)

Root mean

square

error

Modelling

efficiency

6430

00419

00101

28926

18498

00387

09877

9

12857

–00054

31094

00323

00222

09954

11240

00025

29668

00282

00343

09897

9990

00042

24144

00394

00333

09905

9010

00052

24254

00418

00337

09903

7513

00089

27960

00370

00368

09884

6430

00291

28016

00225

00424

09852

10

12857

259691

00039

01178

08707

11240

290603

00040

01191

08754

9990

496827

00026

01227

08709

9010

625201

00022

01224

08727

7513

666134

00025

01174

08822

6430

848084

00024

01117

08973

11

12857

00018

21657

223710

00225

09953

11240

00092

22070

38835

00345

09895

9990

00077

21669

55549

00334

09904

9010

00108

20651

44428

00340

09902

7513

00140

23948

30185

00369

09883

6430

00254

32422

06966

00423

09852

Table 3

Effect of material load on Midilli

et al. model and its results

Material load (m),
g

Root mean square

error

Modelling efficiency

(Z

m

)

12857

000024

099945

11240

000104

099763

9990

000062

099857

9010

000080

099811

7513

000075

099806

6430

000130

099661

MICROWAVE DRYING OF PARSLEY

409

background image

contents, microwave drying efficiency decreased rapidly
and reached to a value as low as 8%. This could be
attributed to the decrease in moisture content of the
material at the later stages of the drying. The dielectric
properties of the product being dried are proportionally
related to moisture content (

Mudgett, 1982

). Thus,

intensity of heat generation or the ability of the product
to absorb microwave energy decreases due to the
reduction of moisture during the microwave drying
process (

Khraisheh et al., 1997

;

Mousa & Farid, 2002

;

Araszkiewicz et al., 2004

).

Despite the significant reduction in microwave drying

efficiency at the latter stages of the drying process,
cumulative drying efficiencies were still high. Cumula-
tive drying efficiencies were calculated as 5368, 4992,

4783, 4683, 4648, and 4422% for the material loads
12857, 11240, 9990, 9010, 7513, and 6430 g, respec-
tively (

Table 4

). However, it should be noted that

maximum loading rate of the microwave dryer used in
this study is limited to about 130 g when drying the leaf
parsley. Therefore, these data are specific to microwave
dryer used in this study. A considerable increase in
drying efficiency with increasing material load signifies
that the microwave was efficiently absorbed by water, so
as water is depleted microwave absorption is reduced
leading to lower efficiency values (

Yongsawatdigul &

Gunasekaran, 1996

;

Khraisheh et al., 1997

;

Mousa &

Farid, 2002

;

Venkatesh & Raghavan, 2004

). As the size

of load relative to cavity determines the amount of
power reflection back to the magnetron, the larger the
load size, the lower the power reduction by reflection
and cavity loss and, hence, the higher the efficiency of
power absorption (

Khraisheh et al., 1997

). Conse-

quently, it can be said that energy required to remove
unit mass water from the product at higher material
loads is less than at lower load size.

Specific energy consumption values for the respective

drying conditions are given in

Table 4

. Although the

parsley and the peppermint are different in nature, the
specific energy consumption values were relatively low
as compared to those obtained for peppermint 1000,
864, and 484 MJ kg

1

[H

2

O], reported by

Bushbeck

et al., (1967)

,

Mu¨ller et al. (1989)

and

Soysal and

O¨ztekin (2001)

, respectively. The higher the material

ARTICLE IN PRESS

Experimental moisture ratio

Predicted moisture ratio

1.0
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0.0

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

Fig. 4. Experimental (’) and predicted (—) moisture ratio at

different microwave drying conditions

0

5

10

15

20

25

30

35

40

45

50

55

60

65

70

0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0

Moisture content, kg [H

2

O] kg

−1

[DM]

Microwave drying efficiency, %

Fig. 5. Microwave drying efficiency versus moisture content (kg
[H

2

O] kg

1

[DM]) at different material load dried at

microwave power cycle of 9 s on/9 s off at 900 W microwave
output power; ’, 12857 g; m, 11240 g; K, 9990 g; &, 9010

g;

W

, 7513 g; J, 6430 g

0.0

0 1

2

3

4

5

6

7

8

9 10 11 12 13 14 15

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

Drying time, min

Moisture ratio

Fig. 3. Moisture ratio versus time at different material load
dried at microwave power cycle of 9 s on/9 s off at 900 W
microwave output power, comparing experimental curve with the
predicted one (—) through Midilli et al. model [Model 5] for
parsley (Petroselinum crispum Mill.) leaves; ’, 12857 g; m,

11240 g; K, 9990 g; &, 9010 g;

W

, 7513 g; J, 6430 g

Y. SOYSAL ET AL.

410

background image

loads the lower the specific energy consumption
(

Table 4

). As the intensity of heat generation is

proportional to the content of moisture in a dielectri-
cally dried material (

Araszkiewicz et al., 2004

), the

bigger amount of water trapped inside the material
provided the higher drying efficiency and lower specific
energy consumption values.

Although the discussion about the quality of dried

product is beyond the scope of this paper, no significant
difference was observed between the colour of fresh and
microwave-dried leaf materials, except for some de-
crease in brightness of leaf material.

4. Conclusion

Based on the results of this study, the following

conclusions were drawn.

(a) Drying took place mainly in the falling rate period

followed by a constant rate period after a short
heating period.

(b) The higher the material load, the longer the drying

time of parsley leaves. Higher drying rates were
obtained at lower material loads.

(c) The Midilli et al. model, with dying rate as a log–log

and linear function of time, gave the best fit for all
the experimental data points with values for the
modelling efficiency of greater than 09974 and the
root mean square error of lower than 00179.

(d) The value of the drying coefficient k decreased with

the increased material load indicating slower drying
of the product.

(e) The multiple regression on the coefficients of the

Midilli et al. model for the effects of material load
being dried gave the high modelling efficiency value
of 09982 and low root mean square error of 00019,
and showed to satisfactorily represent the micro-
wave drying kinetics of parsley leaves dried at
microwave power cycle of 9 s on/9 s off at 900 W
microwave output power.

(f) The initial heating phase during the first few minutes

of drying process lead to lower drying efficiency
values as low as 30% compared to the values for
cumulative drying efficiency which ranged from
4422% to 5368% for the material loads between
6430 and 12857 g, respectively.

(g) At the later stages of the drying process, drying

efficiency values decreased considerably to a value as
low as 8%.

(h) When the material load being dried was higher,

more of the microwave energy was used for
evaporating moisture while the lower material load
tended to decrease the drying efficiency and increase
the specific energy consumption.

ARTICLE IN PRESS

Table

4

Efficiency

of

microwave

drying

depending

on

material

load

dried

at

microwave

power

cycle

of

9

s

on/9

s

off

at

900

W

microwave

output

power

Parameter

Material

load,

g

128

57

(7

0

06)

112

40

(7

0

00)

99

90

(7

0

00)

90

10

(7

0

00)

75

13

(7

0

06)

64

30

(7

0

00)

Initial

moisture

content

5

11

(7

0

00)

5

08

(7

0

03)

5

01

(7

0

15)

5

00

(7

0

05)

4

94

(7

0

03)

4

94

(7

0

03)

M

0

,k

g[

H

2

O]

kg

1

[DM]

Final

moisture

content

0

10

(7

0

00)

0

10

(7

0

01)

0

10

(7

0

00)

0

10

(7

0

01)

0

10

(7

0

00)

0

10

(7

0

00)

M

f

,k

g[

H

2

O]

kg

1

[DM]

Evaporated

water

D

M

,

g

105

30

(7

0

00)

91

97

(7

0

21)

81

52

(7

0

45)

73

52

(7

0

18)

61

16

(7

0

01)

52

37

(7

0

06)

Drying

time

t,

min

14

75

14

00

12

67

11

67

10

00

9

00

Total

power

on

time

t

on

,

s

489

0

462

0

418

0

385

0

330

0

297

0

Drying

rate,

0

34

(7

0

09)

0

36

(7

0

12)

0

38

(7

0

14)

0

41

(7

0

14)

0

48

(7

0

17)

0

54

(7

0

22)

kg

[H

2

O]

kg

1

[DM]

min

1

Cumulative

microwave

drying

53

68

(7

0

06)

a

49

92

(7

0

12)

b

47

83

(7

0

37)

c

46

83

(7

0

10)

d

46

48

(7

0

01)

e

44

22

(7

0

05)

f

efficiency

Z

d

,%

Specific

energy

consumption

4

18

(7

0

00)

a

4

52

(7

0

01)

b

4

62

(7

0

02)

c

4

71

(7

0

01)

d

4

86

(7

0

00)

e

5

10

(7

0

01)

f

Q

s

,M

J

k

g

1

[H

2

O]

Valu

es

in

par

enthe

sis

indica

te

the

st

andard

de

viatio

n.

Du

ncan

groupin

gs;

The

same

lett

ers

w

ithin

the

same

row

are

not

significan

tly

differ

ent

at

a

prob

abil

ity,

P

o

0

05.

MICROWAVE DRYING OF PARSLEY

411

background image

(i) About 95% increase in drying efficiency and about

18% (092 MJ kg

1

[H

2

O]) decrease in specific

energy consumption could be obtainable by working
at 12857 g material load instead of 6430 g.

(j) In order to maximise the benefits of micro-

wave drying, further studies are required at lower
power outputs with different microwave power
cycles.

Acknowledgements

This study was supported by the Research Founda-

tion of Mustafa Kemal University (Project no: 04 B
1001).

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Microwave–vacuum drying kinetics of carrot slices (Zheng Wei Cui, Shi Ying Xu, Da Wen Sun)
Modelling of dehydration rehydration of orange slices in combined microwaveair drying
Modeling and minimizing process time of combined convective and vacuum drying of mushrooms and parsl
Characterization of microwave vacuum drying and hot air drying of mint leaves (Mentha cordifolia Opi
Effect of vacuum microwave drying on selected mechanical and rheological properties of carrot
Microwave drying characteristics of potato and the effect of different microwave powers on the dried
A comparative study on heat pump, microwave and freeze drying of fresh fruits

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