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Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217
www.ijera.com 206 | P a g e
Optimization of Process Parameters for Multi-Layer- Cum
Microwave Drying Of Oyster Mushrooms (Pleurotus Sajor Caju)
Shakti Bansal, Satish Kumar, M.S Alam, Mahesh Kumar
Department of Processing and Food Engineering, Punjab Agricultural University, Ludhiana-141004.
Abstract:
Experiments on oyster mushroom were carried out to study the effect of multi layer-cum-microwave drying
process parameters viz. loading density, air velocity and power level on the quality characteristics of the dried
product. Quality characteristics viz. rehydration ratio, shrinkage ratio, texture, colour, overall acceptability of
dried mushroom were analyzed. The process parameters were optimized using response surface methodology
for responses with significant model and non significant lack of fit. The optimum operating conditions for air
velocity, loading density and power level were 3.80 m/sec 38.80 kg/m2
and 413 W at 600
C drying air
temperature. Corresponding to these values of process variables, the value of rehydration ratio, shrinkage ratio,
hardness, chewiness, colour change was 2.15, 0.84, 720 N, 473N and 15.50 respectively. The overall desirability
was 0.78.
Keywords- Multi layer-cum-microwave drying, optimization, oyster mushroom, quality.
I. INTRODUCTION
Mushroom is the oldest single cell protein
food with protein content in between low grade
vegetable and high grade meat protein. Mushrooms
are a more valuable source of protein than cattle or
fish and are valued for its characteristic meaty biting
texture and flavour. Mushroom is defined as a macro-
fungus with a distinctive fruiting body, which can be
hypogeous or epigeous, large enough to be seen with
the naked eye and to be picked by hand (Hawksworth
2001). Mushroom contains 20-35% protein (dry
weight) which is higher than those of vegetables and
fruits and is of superior quality. It is also rich in
vitamin (B, C, and D), minerals and water content
(Royse and Schisler 1980 & Mattila et al 2001). Also,
they are low in calories, salt, fat and are devoid of
sugar, starch and cholesterol, which make them an
ideal nutritional and diet supplement. Medicinal
mushrooms have become important due to their
antitumor, antifungal, and reducing hyper
cholesterolemia activities (Chang and Buswell 1996).
Apart from its food nutritional and medicine value,
mushroom growing can be efficient means of waste
disposal especially agriculture waste such as paddy
straw, hay etc. (Mandeel 2005).
At present 3 varieties of mushrooms are
being cultivated in India. These are white mushroom
(Agaricus bisporus), the paddy-straw mushroom
(Volvariella volvacea) and the oyster mushroom
(Pleurotus sajor-caju). Mushrooms are highly
perishable due to their high moisture content.
Amongst the various methods employed for
preservation, drying is an energy-intensive operation
in which the water activity of the food is reduced by
removal of the water. Drying is a method of
preservation in which the water activity of the food is
reduced.Traditionally mushrooms are dried under
open sun, which results in unhygienic and poor
quality products. (Chua et al 2001). The other drying
methods are mechanical viz. thin layer drying and
multi layer drying. Drying in thin layers is expensive
and wastes more energy and small amounts of product
are dried. In multilayer drying, more quantity of
product can be dried and air can be utilized properly
resulting in energy saving.
Use of Microwave is considered as the fourth
generation drying technology. Waves can penetrate
directly into the material, heating is volumetric (from
inside out) and provides fast and uniform heating
throughout the entire product.The quick energy
absorption by water molecules causes rapid water
evaporation, creating an outward flux of rapidly
escaping vapour. Microwaves penetrate the food from
all direction. This facilitates steam escape and speed
heating. In addition to improving the drying rate, this
outward flux can help to prevent the shrinkage of
tissue structure, which prevails in most conventional
air drying techniques. Hence better rehydration
characteristics may be expected in microwave dried
products (Khraisheh et al 1997; Prabhanjan 1995).
Microwave processes offer a lot of advantages such as
less start up time, faster heating, energy efficiency
(most of the electromagnetic energy is converted to
heat), space savings, precise process control and food
product with better nutritional quality.
Mohanta et al (2011) dehydrated ginger
(Zingiber Officinale, Cv. Suprava) slices (4 mm thick)
at 25°, 40°, 50° and 60 °C at three different
microwave power levels, viz. 120, 240, and 360 W in
microwave assisted convective dryer up to 0.07 g
moisture/g dry solid. The final product quality was
RESEARCH ARTICLE OPEN ACCESS
Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217
www.ijera.com 207 | P a g e
better in terms of rehydration characteristics,
oleoresin and volatile oil contents, hardness, color and
organoleptic quality. Sahoo and Mohanty (2012) dried
onion slices in microwave assisted convective dryer at
180, 360, 540 and 720 W microwave power levels
and drying air temperatures of 50, 55, and 60°C.
Drying at 360 W power level and 50°C drying air
temperature provided considerable saving in drying
time. Keeping in view the above aspects, the present
study has been planned to study the effect of
convective-cum-microwave drying on the quality of
mushroom and to optimize the convective-cum-
microwave drying characteristics viz. loading density,
air velocity, microwave power.
II. MATERIAL AND METHODS
Experimental design and Statistical Analysis
Response Surface Methodology was used to optimize
the multi-layer cum convective drying conditions for
good quality dried product. The second order Box-
Behnken design was used to work out the range of
independent process variables and their levels for
dried mushroom (Table 1). After coding the
experimental region extended from -1 to +1 in term of
Xi, the three level three factor experimental plans
according to Box-Behnken design (1960) consist of
17 points of treatments combinations of the
independent variables (Table 2). For each experiment,
the known weight of dried mushroom was formulated
as per experimental combinations by varying loading
density (kg/m2
), air velocity (m/sec) and power level
(Watt) and quality attributes viz. rehydration ratio,
shrinkage ratio, texture, colour and overall
acceptability were measured by standard
procedures.The analysis was done independently
for each response variable with the help of
response surface methodology (RSM) by using a
commercial statistical package, 'Design Expert
DX 8.0.4 (Statease Inc., Minneapolis, USA, Trial
Version 2010). The regression coefficients were
estimated through least square method. The
adequacy of the fitted model was tested through
the analysis of variance showing lack of fit and
coefficient of correlation (R2
). For each responses
variables, N (17) observations were obtained.
Table 1: Independent process variables and their levels for mushroom
Independent variables Symbol
Levels
-1 0 +1
Loading Density (kg/m2
) X1 26 39 52
Air Velocity (m/sec) X2 3 4 5
Power level (Watt) X3 270 540 810
Table 2: Experimental structure with coded and actual levels of the process variables for the dried
mushroom using Box-Behnken design
Experiment/
sample no.
Loading density
(X1)
Air velocity
(X2)
Power level
(X3)
Actual Coded Actual Coded Actual Coded
1 39 0 4 0 540 0
2 39 0 3 -1 810 1
3 39 0 4 0 540 0
4 26 -1 4 0 810 1
5 39 0 5 1 810 1
6 52 1 4 0 810 1
7 52 1 4 0 270 -1
8 52 -1 3 -1 540 0
9 39 0 4 0 540 0
10 52 1 5 1 540 0
11 39 0 4 0 540 0
12 39 0 5 1 270 -1
13 39 0 4 0 540 0
14 26 -1 3 -1 540 0
15 26 -1 5 1 540 0
16 26 -1 4 0 270 -1
17 39 0 3 -1 270 -1
Experimental Procedure
2.1 Experimental setup
The experimental set-up for multi layer
drying of mushroom comprised of an experimental
dryer (Make-SATAKE) with electrically heated hot
air system capable of supplying air upto a
temperature of 70°C. A centrifugal blower capable of
delivering air velocity upto 5.4 m/s was fitted in the
dryer. The blower was powered with 0.75 kW, 1410
rpm, 3 phase, 230-Volt electric motor with a direct
Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217
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online starter. The hot air was sucked by the blower
through the heaters and was thrown into the drying
chamber. These chambers had a screen at the bottom
with approximate 1 mm hole diameter. The dryer was
started half hour before actual drying experiment to
achieve steady state conditions. The mushroom was
put into the drying boxes according to the desired
loading density to get the required bed depth. The
drying was carried out at 60°C. The sample was dried
to a moisture content of 27% wb (36.90 % db) in the
multi layer drying and thereafter the sample was
shifted to microwave oven for removal of remaining
moisture final moisture content ie.6.89 % wb (7.40 %
db). The experimental setup for microwave drying of
mushroom comprised of a household microwave
operating at 2450MHz and capable of running at
different power levels viz. 270, 540, 810, 1080, 1350
W at 20%, 40%, 60%, 80% and 100% respectively.
Microwave heats food by bombarding it with
electromagnetic radiation in the microwave spectrum
causing polarized molecules in the food to rotate and
build up thermal energy in a process known as
dielectric heating. The samples were allowed to come
to room temperature, packed and stored. Three
replications were taken for each experiment to get an
average values.
2.2 Preparation of samples
Fresh oyster mushroom was procured from
local market in Ludhiana and brought to the Food
Engineering laboratory of the department. The oyster
mushroom was cut manually and the colour and
moisture content of fresh mushroom was noted.
Mushroom was pretreated with citric acid @40 gm/lit
(Brennan and Gormely 2000). The solution was
drained out. The samples were then soaked with a
filter paper and thereafter subjected to drying run
according to required loading densities.
2.3 Determination of Quality Parameters
The quality parameters that were analysed
were rehydration ratio, shrinkage ratio, texture,
colour and overall acceptability.
2.3.1 Rehydration ratio:-Rehydration ratio was
evaluated by soaking known weight (5-10 g) of each
sample in sufficient volume of water in a glass beaker
(approximately 30 times the weight of sample) at
95°C for 20 minutes. After soaking, the excess water
was removed with the help of filter paper and
samples were weighed. In order to minimize the
leaching losses, water bath was used for maintaining
the defined temperature (Ranganna 1986).
Rehydration ratio (RR) of the samples was computed
as follows:
Rehydration ratio,
W
W
RR
d
r

Where,
Wr = Drained weight of rehydrated sample
in grams; Wd = Weight of dried sample used for
rehydration in grams
2.3.2 Shrinkage ratio:- The shrinkage ratio of
dried sample was measured by toluene displacement
method. Shrinkage ratio was calculated as the
percentage change from the initial apparent volume
(Rangana 1986).
Shrinkage ratio =
0V
Vr
Where, Vr= Volume displaced by rehydrated sample;
V0 = Volume displaced by fresh sample, ml
2.3.3 Texture:-Texture (hardness and chewiness)
of the dehydrated samples was determined with the
help of Texture Analyzer TA-Hdi. The samples were
compressed by spherical probe. The pre-test speed
was set at 1.5 mm/s, post test speed was set at 10
mm/s whereas; test speed of 2 mm/s was set during
compression. The height of the peak during
compression cycle was defined as hardness and
chewiness (g).
2.3.4 Colour:- Colour is one of the important
parameters, which is an indicative of the commercial
value of the product. The basic purpose was to get an
idea of the comparative change in colour of fresh,
dried and rehydrated material. Colour was
determined using Hunter Lab Miniscan XE Plus
Colorimeter (Hunter 1975).
Colour change ΔE =
Where ΔL, Δa and Δb are deviations from L, a and b
values of fresh sample.
ΔL = L dried sample – L fresh sample; + ΔL means
sample is lighter than fresh, - ΔL means sample is
darker than fresh.
Δa = a dried sample- a fresh sample, + Δa means
sample is redder than standard, - Δa means sample is
greener than standard
Δb = b dried sample –b fresh sample, + Δb means
sample is yellower than standard, - Δb means sample
is bluer than standard
III RESULTS AND DISCUSSION
The response and contour plots were
generated for different interaction of three
independent variables, keeping the value of other
variables constant. Such a three dimensional surfaces
could give accurate geometrical representation and
provide useful information about the behaviour of the
system within the experimental design. The complete
experimental results for convective -cum- microwave
drying of mushroom have been presented in Table 3.
3.1 Rehydration ratio
The rehydration ratio of dried mushroom
varied in the range of 1.40 to 2.40 with an average
value of 1.9. The maximum rehydration ratio (2.40)
Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217
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was found at 39 kg/m² loading density, 4
m/s air velocity and 540 W power level; while
minimum rehydration ratio (1.40) was found for 26
kg/m² loading density, 4 m/s air velocity and 270 W
power level. RR increased with increase in both
loading density and air velocity in multi layer drying
(Fig 1) and increased with increase in both power
level and loading density in microwave drying (Fig
2). The results corroborated from the Analysis of
Variance (ANOVA) showed that the quadratic terms
of LD (p value: 0.0292) & PL (p value: 0.0046) are
significant at 5% level of significance.
Table 3 Experimental data of drying of oyster mushroom for response surface analysis by convective-
cum-microwave drying
Loading
Density
(kg/m²)
Air
Velocity
(m/s)
Power
(W)
RR SR Texture (N) Color OA
Hardness Chewiness
26 3 540 2.00 0.89 1675 1749 18.19 70.37
26 4 270 1.40 0.81 1180 552 18.76 70.15
26 4 810 1.80 0.75 1777 1386 21.90 66.66
26 5 540 2.10 0.82 2666 764 20.26 77.77
39 3 270 2.10 0.75 857 744 15.74 62.96
39 3 810 2.00 0.83 2376 1904 19.50 55.55
39 4 540 2.40 0.96 800 473 15.00 68.05
39 4 540 2.20 0.79 879 513 15.80 77.77
39 4 540 2.28 0.86 946 653 16.40 77.77
39 4 540 2.28 0.90 780 489 14.20 76.34
39 4 540 2.10 0.90 1485 847 17.00 76.38
39 5 270 1.70 0.75 850 508 17.87 48.15
39 5 810 2.00 0.87 2930 1323 18.76 48.15
52 3 540 2.00 0.98 1080 580 22.98 68.96
52 4 270 1.80 0.75 720 596 17.84 56.25
52 4 810 2.00 1.00 1308 1082 18.57 81.48
52 5 540 2.10 1.00 1114 1025 14.89 62.96
Table 4: Analysis of variance (ANOVA) for
model fitting
Fitting of model on
Df
Sum of Squares
Mean sum of squares
F Value
p-value
(Prob > F)
Rehydration Ratio 9 0.76 0.085 3.73 0.0483
Shrinkage ratio 9 0.11 0.012 4.66 0.0273
Hardness 9
6.351E+006
7.057E+005 3.86 0.0444
Chewiness 9
3.056E+006
3.396E+005 11.16 0.0022
Colour 9 81.69 9.08 4.69 0.0269
Overall acceptability 9 1415.46 157.27 4.03 0.0397
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26.00 32.50 39.00 45.50 52.00
3.00
3.50
4.00
4.50
5.00
RR
A: Loading Density
B:AirVelocity
2 2.1 2.2 2.2
5
3.00
3.50
4.00
4.50
5.00
26.00
32.50
39.00
45.50
52.00
1.9
2
2.1
2.2
2.3
2.4
RR
A: Loading DensityB: Air Velocity
Fig 1: Contour and response surface plots
showing effect of loading density and air velocity
on RR
26.00 32.50 39.00 45.50 52.00
270.00
360.00
450.00
540.00
630.00
720.00
810.00
RR
A: Loading Density
C:PowerLevel
1.6
1.8
1.8
2
2
2.2
5
270.00
360.00
450.00
540.00
630.00
720.00
810.00
26.00
32.50
39.00
45.50
52.00
1.2
1.4
1.6
1.8
2
2.2
2.4
RR
A: Loading DensityC: Power Level
Fig 2: Contour and response surface plots
showing effect of loading density and microwave
power level on RR
3.2 Shrinkage ratio
The shrinkage ratio of mushroom varied in
the range of 0.75 to 1.00 with an average value of
0.875. The maximum shrinkage ratio (1.00) was
found at 52 kg/m² loading density, 4 m/s air velocity
and 540 W power level; while minimum shrinkage
ratio (0.75) was found at 26 kg/m² loading density, 4
m/s air velocity and 810 W power level. SR
increased with increase in loading density and
decreased with increasing air velocity (Abasi et al
2009) in multi layer drying (Fig 3) and decreased
with increase in both power level and loading
density in microwave drying (Fig 4). This is due to
outward flux of vapour and generated vapour
pressure (Feng, Tang, Cavalieri and Plumb, 2001).
The results corroborated from the Analysis of
Variance (ANOVA) showed that the linear terms of
LD (p-value: 0.0140) & PL (p-value: 0.0311), cross
product term of LD & PL (p-value: 0.0185) and
quadratic term of PL (p-value: 0.0096) are
significant at 5% level of significance.
Fig 3: Contour and response surface plots
showing effect of loading density and air velocity
on SR
26.00 32.50 39.00 45.50 52.00
270.00
360.00
450.00
540.00
630.00
720.00
810.00
SR
A: Loading Density
C:PowerLevel
0.8
0.8
0.9
1
5
270.00
360.00
450.00
540.00
630.00
720.00
810.00
26.00
32.50
39.00
45.50
52.00
0.7
0.8
0.9
1
1.1
SR
A: Loading DensityC: Power Level
Fig 4: Contour and response surface plots showing
effect of loading density and microwave power level
on SR
3.3 Texture
The hardness of mushroom varied in the
range of 720 to 2930 N with an average value of
1825 N. The maximum hardness (2930 N) was
found at 39 kg/m² loading density, 5 m/s air velocity
and 810 W power level; while minimum hardness
26.00 32.50 39.00 45.50 52.00
3.00
3.50
4.00
4.50
5.00
SR
A: Loading Density
B:AirVelocity
0.85
0.9 0.95
5
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Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217
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(720 N) was found at 52 kg/m² loading density, 4
m/s air velocity and 270 W power level. In multi
layer drying, hardness decreased with increasing
loading density and increased with increasing air
velocity (Fig 5). In microwave drying, hardness
decreased with increase in loading density and
increased with increase in power level (Fig 6). The
results corroborated from the Analysis of Variance
(ANOVA) showed that linear terms of LD (p-value:
0.0385) & PL (p-value: 0.0055) and quadratic term
of AV (p-value: 0.0269) are significant at 5% level
of significance.
26.00 32.50 39.00 45.50 52.00
3.00
3.50
4.00
4.50
5.00
texture
A: Loading Density
B:AirVelocity
1000
1500
1500
2000
5
3.00
3.50
4.00
4.50
5.00
26.00
32.50
39.00
45.50
52.00
500
1000
1500
2000
2500
3000
texture
A: Loading DensityB: Air Velocity
Fig 5: Contour and response surface plots
showing effect of loading density and air velocity
on texture (hardness)
26.00 32.50 39.00 45.50 52.00
270.00
360.00
450.00
540.00
630.00
720.00
810.00
texture
A: Loading Density
C:PowerLevel
500
1000
1500
2000
5
270.00
360.00
450.00
540.00
630.00
720.00
810.00
26.00
32.50
39.00
45.50
52.00
0
500
1000
1500
2000
2500
texture
A: Loading DensityC: Power Level
Fig 6: Contour and response surface plots
showing effect of loading density and microwave
power level on texture (hardness)
The chewiness of mushroom varied in the
range of 473 to 1904 N with an average value of
1188 N. The maximum chewiness (1904 N) was
found at 39 kg/m² loading density, 3 m/s air velocity
and 810 W power level; while minimum chewiness
(473 N) was found at 39 kg/m² loading density, 4
m/s air velocity and 540 W power level. In multi
layer drying, chewiness decreased with increase in
both loading density and air velocity (Fig 7). In
microwave drying, chewiness increased with
increase in both loading density and power level
(Kotaliwale et al 2007) (Fig 8). The results
corroborated from the Analysis of Variance
(ANOVA) showed that linear term of LD (p-value:
0.0499), AV (p-value: 0.0337) & PL (p-value:
0.0003), cross product term of LD & AV (p-value:
0.0037) and quadratic term of AV (p-value: 0.0052)
are significant at 5% level of significance.
3.00
3.50
4.00
4.50
5.00
26.00
32.50
39.00
45.50
52.00
400
600
800
1000
1200
1400
1600
1800
chewiness
A: Loading DensityB: Air Velocity
26.00 32.50 39.00 45.50 52.00
3.00
3.50
4.00
4.50
5.00
chewiness
A: Loading Density
B:AirVelocity
600
800
800
1000
1000
1200
1400
1600
5
Fig 7: Contour and response surface plots
showing effect of loading density and air velocity
on chewiness
270.00
360.00
450.00
540.00
630.00
720.00
810.00
26.00
32.50
39.00
45.50
52.00
200
400
600
800
1000
1200
1400
1600
chewiness
A: Loading DensityC: Power Level
FFig 8: Contour and response surface plots showing
effect of loading density and microwave power level on
chewiness
3.4 Colour
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The colour change of mushroom varied in the
range of 14.20 to 22.98 with an average value of
19.00. The maximum colour change (22.98) was
found at 52 kg/m² loading density, 3 m/s air velocity
and 540 W power level; while minimum colour
change (14.2) was found at 39 kg/m² loading density,
4 m/s air velocity and 540 W power level. Colour
change increased with increase in both loading density
and air velocity in multi layer drying (Fig 9). Both
these results are in agreement with (Chauca et al 2002)
who have reported color changes of banana during
drying in terms of ‘L’ and ‘a’ values. Colour change
decreased with increasing loading density and
increased with increase in power level in microwave
drying (Fig 10) (Maskan, 2001). The results
corroborated from the Analysis of Variance (ANOVA)
showed that the cross product term of LD & AV (p-
value: 0.0082) and quadratic term of LD (p-value:
0.0104) are significant at 5% level of significance.
3.00
3.50
4.00
4.50
5.00
26.00
32.50
39.00
45.50
52.00
14
16
18
20
22
24
colourchange
A: Loading DensityB: Air Velocity
26.00 32.50 39.00 45.50 52.00
3.00
3.50
4.00
4.50
5.00
colour change
A: Loading Density
B:AirVelocity
16
17
17
18
18
19
19
20
20
21
21
5
Fig 9: Contour and response surface plots
showing effect of loading density and air velocity
on colour change
26.00 32.50 39.00 45.50 52.00
270.00
360.00
450.00
540.00
630.00
720.00
810.00
colour change
A: Loading Density
C:PowerLevel
16
17
18
18
18
19
20
5
Fig 10: Contour and response surface plots
showing effect of loading density and microwave
power level on colour change
3.5 Overall acceptability
The overall acceptability of mushroom slices varied
in the range of 48.15 to 81.48 with an average value
of 64.81. The maximum overall acceptability
(81.48) was found at 52 kg/m² loading density, 4
m/s air velocity and 810 Watt level; while minimum
overall acceptability (48.15) was found at 39 kg/m²
loading density, 5 m/s air velocity and 810 Watt
level. OA decreased with increase in loading density
and increased with increase in air velocity in multi
layer drying (Fig 11). OA decreased with increase in
both power level and loading density in microwave
drying (Fig.12). The results corroborated from the
Analysis of Variance (ANOVA) showed that the
quadratic terms of AV (p-value: 0.0109) and PL (p-
value: 0.0082) are significant at 5% level of
significance.
26.00 32.50 39.00 45.50 52.00
3.00
3.50
4.00
4.50
5.00
OA
A: Loading Density
B:AirVelocity
65
70
70
75
75
80
5
270.00
360.00
450.00
540.00
630.00
720.00
810.00
26.00
32.50
39.00
45.50
52.00
14
16
18
20
22
colourchange
A: Loading DensityC: Power Level
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3.00
3.50
4.00
4.50
5.00
26.00
32.50
39.00
45.50
52.00
60
65
70
75
80
85
OA
A: Loading DensityB: Air Velocity
Fig 11: Contour and response surface plots
showing effect of loading density and air velocity
on overall acceptability
270.00
360.00
450.00
540.00
630.00
720.00
810.00
26.00
32.50
39.00
45.50
52.00
55
60
65
70
75
80
85
OA
A: Loading DensityC: Power Level
Fig 12: Contour and response surface plots
showing effect of loading density and microwave
power
level
26.00 32.50 39.00 45.50 52.00
270.00
360.00
450.00
540.00
630.00
720.00
810.00
OA
A: Loading Density
C:PowerLevel
60
65
70
70
75
75
80
5
on overall acceptability
3.6 Optimization of Convective-cum-microwave
drying of mushroom
The optimum values of process
parameters and responses are presented in Table 6.
The process conditions for multi layer drying of
mushroom were optimized using numerical
optimization technique. The main criteria for
constraints optimization were maximum possible
rehydration ratio, hardness and overall acceptability
and minimum possible shrinkage ratio, color change
(Themelin et al 1997; Ade-Omowaye et al 2002).
The contour plots for each response were generated
for different interaction of any two independent
variables. In order to optimize the process
conditions for multi layer drying of mushroom by
numerical optimization technique, equal importance
of ‘3’ was given to three process parameters (viz.
loading density, air velocity and microwave power
level ) and responses (i.e. rehydration ratio,
shrinkage ratio, color, hardness, chewiness and
overall acceptability). The conditions were
experimentally verified with deviation of +0.10%.
The optimum operating conditions for loading
density, air velocity and microwave power level was
38.80 kg/m2
and 3.86 m/sec at 600
C and 413.6 W
power level. Corresponding to these values of
process variables, the value of rehydration ratio,
shrinkage ratio, texture (hardness and chewiness),
colour change and overall acceptability were 2.15,
0.84, 739 N, 473 N, 15.50 and 72.50 respectively.
The overall desirability was 0.78.
Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217
www.ijera.com 214 | P a g e
Table 6: Optimum values of process parameters and responses
Process parameters Goal Lower limit Upper limit Importance Optimization level
A: Loading Density (kg/m²) in range 26 52 3 38.80
B: Air Velocity (m/s) in range 3 5 3 3.86
C: Power level (W) in range 270 810 3 413
Responses predicted value
Rehydration ratio Maximize 1.40 2.40 3 2.15
Shrinkage ratio Minimize 0.75 1.00 3 0.84
Hardness Minimize 720 2930 3 739
Chewiness in range 473 1904 3 473
Colour change (E) Minimize 14.20 22.98 3 15.50
Overall acceptability Maximize 48.15 81.48 3 72.50
Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217
www.ijera.com 215 | P a g e
3.00 3.50 4.00 4.50 5.00
26.00
32.50
39.00
45.50
52.00
Overlay Plot
B: Air Velocity (m/sec)
A:LoadingDensity(kg/m2)
SR: 0.890
RR: 2.000
RR: 2.000
RR: 2.160
texture: 720.000
texture: 750.000
colour change: 19.000
colour change: 19.000
OA: 70.000
OA: 70.000
OA: 81.480
chewiness: 472.650
chewiness: 1100.000
Fig 13: Superimposed contour plot of different responses for optimization of convective cum microwave dehydration of mushroom.
Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217
www.ijera.com 216 | P a g e
270.00 360.00 450.00 540.00 630.00 720.00 810.00
26.00
32.50
39.00
45.50
52.00
Overlay Plot
C: Power Level (W)
A:LoadingDensity(kg/m2)
SR: 0.780
SR: 0.780 SR: 0.890
RR: 2.100
RR: 2.160
texture: 720.000
texture: 900.000
colour change: 20.000
OA: 70.000
OA: 70.000
OA: 81.480
chewiness: 472.650
chewiness: 1200.000
Fig 14: Superimposed contour plot of different responses for optimization of convective cum microwave dehydration of mushroom
Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217
www.ijera.com 217 | P a g e
References
[1] Abasi S, Mousavi S M, Mohebi M and Kiani
S (2009) Effect of time and temperature on
moisture content, shrinkage and rehydration
of dried onion. Iranian J chem Engg 6(3).
[2] Ade O, Rastogi N K, Angersbach A and
Knorr D (2002) Osmotic dehydration
behavior of red paprika (Capsicum annum
L.) J Fd Sci 67: 1790-96.
[3] Brennan M H and Gormely (2000)
Extending the shelf life of fresh sliced
mushrooms. J Sci Fd Agric 26: 401-11.
[4] Chang S T and Buswell J A (1996)
Mushroom nutraceuticals. W Microbiol
Biotechnol 12: 473-76.
[5] Chauca C, M., Ramos, A M and Stringheta,
P. C. (2002). Color and texture change
during banana drying (Musa spp.
nanica).Allimentaria, 337:153–58.
[6] Chua K J, Mujumdar A S, Hawlader M N A,
Chou S K and Ho J C (2001) Batch drying
of banana pieces -effect of stepwise change
in drying air temperature on drying kinetics
and product colour. Fd Res Int 34: 721-31.
[7] Erle U (2005) Drying using microwave
processing. In: The microwave processing of
foods. Schubert H, Regier M (ed),
Woodhead Publication, Cambridge,
England. Pp:142–52.
[8] Hawksworth D L (2001) Mushrooms: the
extent of the unexplored potential. Int J
Med. Mush 3: 333-37.
[9] Hunter S (1975) The measurement of
appearance. Pp: 304-05, John Wiley and Sons.
New York.
[10] Khraisheh M A M, Cooper T J R and Magee
T R A (1997) Shrinkage characteristic of
potatoes dehydrated under combined
microwave and convective air conditions.
Drying Technol Int 15: 1003-22.
[11] Kotwaliwale N, Bakane P and Verma A
(2007) Changes in textural and optical
properties of oyster mushroom during hot air
drying. J Fd Engg 78(4):1207-11.
[12] Mandeel Q A ,Al-Laith A A and Mohamed
S A (2005) Cultivation of oyster mushrooms
(Pleurotus spp.) on various lignocellulosic
wastes World J Microbiol Biotechnol 21:
601–07.
[13] Maskan M (2001) Kinetics color change of
kiwifruits during hot air and microwave
drying. J Fd Engg 48:169-75.
[14] Mohanta B, Dash S K, Panda M K, Sahoo G
R (2011) Standardization of process
parameters for microwave assisted
convective dehydration of ginger. J Fd Sci
Technol. Print ISSN 0022-1155.
[15] Prabhanjan D G Ramaswamy H S and
Raghavan, G S V (1995) Microwave-
assisted convective air drying of thin layer
carrots. J Fd Engg 25: 283-93.
[16] Ranganna S (1986) Handbook of analysis
and quality control for fruits and vegetable
products. 2nd
edition, pp 171-74. Tata
McGraw Hill publishing company Ltd. New
Delhi, India.
[17] Royce D J and Schisler L C (1980)
Mushrooms: Consumption, production and
cultivation. Interdiscip Sci Rev 5:324-31.
[18] Sahoo N R and Mohanty S N (2011)
Microwave Assisted Convective Drying of
Onion (Allium cepa L.) J Agric Sci (RJAS)
SSN: 0976-1675.
[19] Themelin A, Raoult WA L, Lebert A and
Danzart M (1997) Multicriteria optimization
of food processing combining soaking prior
to air drying. Drying Technol 15: 2263-79.

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  • 1. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 206 | P a g e Optimization of Process Parameters for Multi-Layer- Cum Microwave Drying Of Oyster Mushrooms (Pleurotus Sajor Caju) Shakti Bansal, Satish Kumar, M.S Alam, Mahesh Kumar Department of Processing and Food Engineering, Punjab Agricultural University, Ludhiana-141004. Abstract: Experiments on oyster mushroom were carried out to study the effect of multi layer-cum-microwave drying process parameters viz. loading density, air velocity and power level on the quality characteristics of the dried product. Quality characteristics viz. rehydration ratio, shrinkage ratio, texture, colour, overall acceptability of dried mushroom were analyzed. The process parameters were optimized using response surface methodology for responses with significant model and non significant lack of fit. The optimum operating conditions for air velocity, loading density and power level were 3.80 m/sec 38.80 kg/m2 and 413 W at 600 C drying air temperature. Corresponding to these values of process variables, the value of rehydration ratio, shrinkage ratio, hardness, chewiness, colour change was 2.15, 0.84, 720 N, 473N and 15.50 respectively. The overall desirability was 0.78. Keywords- Multi layer-cum-microwave drying, optimization, oyster mushroom, quality. I. INTRODUCTION Mushroom is the oldest single cell protein food with protein content in between low grade vegetable and high grade meat protein. Mushrooms are a more valuable source of protein than cattle or fish and are valued for its characteristic meaty biting texture and flavour. Mushroom is defined as a macro- fungus with a distinctive fruiting body, which can be hypogeous or epigeous, large enough to be seen with the naked eye and to be picked by hand (Hawksworth 2001). Mushroom contains 20-35% protein (dry weight) which is higher than those of vegetables and fruits and is of superior quality. It is also rich in vitamin (B, C, and D), minerals and water content (Royse and Schisler 1980 & Mattila et al 2001). Also, they are low in calories, salt, fat and are devoid of sugar, starch and cholesterol, which make them an ideal nutritional and diet supplement. Medicinal mushrooms have become important due to their antitumor, antifungal, and reducing hyper cholesterolemia activities (Chang and Buswell 1996). Apart from its food nutritional and medicine value, mushroom growing can be efficient means of waste disposal especially agriculture waste such as paddy straw, hay etc. (Mandeel 2005). At present 3 varieties of mushrooms are being cultivated in India. These are white mushroom (Agaricus bisporus), the paddy-straw mushroom (Volvariella volvacea) and the oyster mushroom (Pleurotus sajor-caju). Mushrooms are highly perishable due to their high moisture content. Amongst the various methods employed for preservation, drying is an energy-intensive operation in which the water activity of the food is reduced by removal of the water. Drying is a method of preservation in which the water activity of the food is reduced.Traditionally mushrooms are dried under open sun, which results in unhygienic and poor quality products. (Chua et al 2001). The other drying methods are mechanical viz. thin layer drying and multi layer drying. Drying in thin layers is expensive and wastes more energy and small amounts of product are dried. In multilayer drying, more quantity of product can be dried and air can be utilized properly resulting in energy saving. Use of Microwave is considered as the fourth generation drying technology. Waves can penetrate directly into the material, heating is volumetric (from inside out) and provides fast and uniform heating throughout the entire product.The quick energy absorption by water molecules causes rapid water evaporation, creating an outward flux of rapidly escaping vapour. Microwaves penetrate the food from all direction. This facilitates steam escape and speed heating. In addition to improving the drying rate, this outward flux can help to prevent the shrinkage of tissue structure, which prevails in most conventional air drying techniques. Hence better rehydration characteristics may be expected in microwave dried products (Khraisheh et al 1997; Prabhanjan 1995). Microwave processes offer a lot of advantages such as less start up time, faster heating, energy efficiency (most of the electromagnetic energy is converted to heat), space savings, precise process control and food product with better nutritional quality. Mohanta et al (2011) dehydrated ginger (Zingiber Officinale, Cv. Suprava) slices (4 mm thick) at 25°, 40°, 50° and 60 °C at three different microwave power levels, viz. 120, 240, and 360 W in microwave assisted convective dryer up to 0.07 g moisture/g dry solid. The final product quality was RESEARCH ARTICLE OPEN ACCESS
  • 2. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 207 | P a g e better in terms of rehydration characteristics, oleoresin and volatile oil contents, hardness, color and organoleptic quality. Sahoo and Mohanty (2012) dried onion slices in microwave assisted convective dryer at 180, 360, 540 and 720 W microwave power levels and drying air temperatures of 50, 55, and 60°C. Drying at 360 W power level and 50°C drying air temperature provided considerable saving in drying time. Keeping in view the above aspects, the present study has been planned to study the effect of convective-cum-microwave drying on the quality of mushroom and to optimize the convective-cum- microwave drying characteristics viz. loading density, air velocity, microwave power. II. MATERIAL AND METHODS Experimental design and Statistical Analysis Response Surface Methodology was used to optimize the multi-layer cum convective drying conditions for good quality dried product. The second order Box- Behnken design was used to work out the range of independent process variables and their levels for dried mushroom (Table 1). After coding the experimental region extended from -1 to +1 in term of Xi, the three level three factor experimental plans according to Box-Behnken design (1960) consist of 17 points of treatments combinations of the independent variables (Table 2). For each experiment, the known weight of dried mushroom was formulated as per experimental combinations by varying loading density (kg/m2 ), air velocity (m/sec) and power level (Watt) and quality attributes viz. rehydration ratio, shrinkage ratio, texture, colour and overall acceptability were measured by standard procedures.The analysis was done independently for each response variable with the help of response surface methodology (RSM) by using a commercial statistical package, 'Design Expert DX 8.0.4 (Statease Inc., Minneapolis, USA, Trial Version 2010). The regression coefficients were estimated through least square method. The adequacy of the fitted model was tested through the analysis of variance showing lack of fit and coefficient of correlation (R2 ). For each responses variables, N (17) observations were obtained. Table 1: Independent process variables and their levels for mushroom Independent variables Symbol Levels -1 0 +1 Loading Density (kg/m2 ) X1 26 39 52 Air Velocity (m/sec) X2 3 4 5 Power level (Watt) X3 270 540 810 Table 2: Experimental structure with coded and actual levels of the process variables for the dried mushroom using Box-Behnken design Experiment/ sample no. Loading density (X1) Air velocity (X2) Power level (X3) Actual Coded Actual Coded Actual Coded 1 39 0 4 0 540 0 2 39 0 3 -1 810 1 3 39 0 4 0 540 0 4 26 -1 4 0 810 1 5 39 0 5 1 810 1 6 52 1 4 0 810 1 7 52 1 4 0 270 -1 8 52 -1 3 -1 540 0 9 39 0 4 0 540 0 10 52 1 5 1 540 0 11 39 0 4 0 540 0 12 39 0 5 1 270 -1 13 39 0 4 0 540 0 14 26 -1 3 -1 540 0 15 26 -1 5 1 540 0 16 26 -1 4 0 270 -1 17 39 0 3 -1 270 -1 Experimental Procedure 2.1 Experimental setup The experimental set-up for multi layer drying of mushroom comprised of an experimental dryer (Make-SATAKE) with electrically heated hot air system capable of supplying air upto a temperature of 70°C. A centrifugal blower capable of delivering air velocity upto 5.4 m/s was fitted in the dryer. The blower was powered with 0.75 kW, 1410 rpm, 3 phase, 230-Volt electric motor with a direct
  • 3. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 208 | P a g e online starter. The hot air was sucked by the blower through the heaters and was thrown into the drying chamber. These chambers had a screen at the bottom with approximate 1 mm hole diameter. The dryer was started half hour before actual drying experiment to achieve steady state conditions. The mushroom was put into the drying boxes according to the desired loading density to get the required bed depth. The drying was carried out at 60°C. The sample was dried to a moisture content of 27% wb (36.90 % db) in the multi layer drying and thereafter the sample was shifted to microwave oven for removal of remaining moisture final moisture content ie.6.89 % wb (7.40 % db). The experimental setup for microwave drying of mushroom comprised of a household microwave operating at 2450MHz and capable of running at different power levels viz. 270, 540, 810, 1080, 1350 W at 20%, 40%, 60%, 80% and 100% respectively. Microwave heats food by bombarding it with electromagnetic radiation in the microwave spectrum causing polarized molecules in the food to rotate and build up thermal energy in a process known as dielectric heating. The samples were allowed to come to room temperature, packed and stored. Three replications were taken for each experiment to get an average values. 2.2 Preparation of samples Fresh oyster mushroom was procured from local market in Ludhiana and brought to the Food Engineering laboratory of the department. The oyster mushroom was cut manually and the colour and moisture content of fresh mushroom was noted. Mushroom was pretreated with citric acid @40 gm/lit (Brennan and Gormely 2000). The solution was drained out. The samples were then soaked with a filter paper and thereafter subjected to drying run according to required loading densities. 2.3 Determination of Quality Parameters The quality parameters that were analysed were rehydration ratio, shrinkage ratio, texture, colour and overall acceptability. 2.3.1 Rehydration ratio:-Rehydration ratio was evaluated by soaking known weight (5-10 g) of each sample in sufficient volume of water in a glass beaker (approximately 30 times the weight of sample) at 95°C for 20 minutes. After soaking, the excess water was removed with the help of filter paper and samples were weighed. In order to minimize the leaching losses, water bath was used for maintaining the defined temperature (Ranganna 1986). Rehydration ratio (RR) of the samples was computed as follows: Rehydration ratio, W W RR d r  Where, Wr = Drained weight of rehydrated sample in grams; Wd = Weight of dried sample used for rehydration in grams 2.3.2 Shrinkage ratio:- The shrinkage ratio of dried sample was measured by toluene displacement method. Shrinkage ratio was calculated as the percentage change from the initial apparent volume (Rangana 1986). Shrinkage ratio = 0V Vr Where, Vr= Volume displaced by rehydrated sample; V0 = Volume displaced by fresh sample, ml 2.3.3 Texture:-Texture (hardness and chewiness) of the dehydrated samples was determined with the help of Texture Analyzer TA-Hdi. The samples were compressed by spherical probe. The pre-test speed was set at 1.5 mm/s, post test speed was set at 10 mm/s whereas; test speed of 2 mm/s was set during compression. The height of the peak during compression cycle was defined as hardness and chewiness (g). 2.3.4 Colour:- Colour is one of the important parameters, which is an indicative of the commercial value of the product. The basic purpose was to get an idea of the comparative change in colour of fresh, dried and rehydrated material. Colour was determined using Hunter Lab Miniscan XE Plus Colorimeter (Hunter 1975). Colour change ΔE = Where ΔL, Δa and Δb are deviations from L, a and b values of fresh sample. ΔL = L dried sample – L fresh sample; + ΔL means sample is lighter than fresh, - ΔL means sample is darker than fresh. Δa = a dried sample- a fresh sample, + Δa means sample is redder than standard, - Δa means sample is greener than standard Δb = b dried sample –b fresh sample, + Δb means sample is yellower than standard, - Δb means sample is bluer than standard III RESULTS AND DISCUSSION The response and contour plots were generated for different interaction of three independent variables, keeping the value of other variables constant. Such a three dimensional surfaces could give accurate geometrical representation and provide useful information about the behaviour of the system within the experimental design. The complete experimental results for convective -cum- microwave drying of mushroom have been presented in Table 3. 3.1 Rehydration ratio The rehydration ratio of dried mushroom varied in the range of 1.40 to 2.40 with an average value of 1.9. The maximum rehydration ratio (2.40)
  • 4. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 209 | P a g e was found at 39 kg/m² loading density, 4 m/s air velocity and 540 W power level; while minimum rehydration ratio (1.40) was found for 26 kg/m² loading density, 4 m/s air velocity and 270 W power level. RR increased with increase in both loading density and air velocity in multi layer drying (Fig 1) and increased with increase in both power level and loading density in microwave drying (Fig 2). The results corroborated from the Analysis of Variance (ANOVA) showed that the quadratic terms of LD (p value: 0.0292) & PL (p value: 0.0046) are significant at 5% level of significance. Table 3 Experimental data of drying of oyster mushroom for response surface analysis by convective- cum-microwave drying Loading Density (kg/m²) Air Velocity (m/s) Power (W) RR SR Texture (N) Color OA Hardness Chewiness 26 3 540 2.00 0.89 1675 1749 18.19 70.37 26 4 270 1.40 0.81 1180 552 18.76 70.15 26 4 810 1.80 0.75 1777 1386 21.90 66.66 26 5 540 2.10 0.82 2666 764 20.26 77.77 39 3 270 2.10 0.75 857 744 15.74 62.96 39 3 810 2.00 0.83 2376 1904 19.50 55.55 39 4 540 2.40 0.96 800 473 15.00 68.05 39 4 540 2.20 0.79 879 513 15.80 77.77 39 4 540 2.28 0.86 946 653 16.40 77.77 39 4 540 2.28 0.90 780 489 14.20 76.34 39 4 540 2.10 0.90 1485 847 17.00 76.38 39 5 270 1.70 0.75 850 508 17.87 48.15 39 5 810 2.00 0.87 2930 1323 18.76 48.15 52 3 540 2.00 0.98 1080 580 22.98 68.96 52 4 270 1.80 0.75 720 596 17.84 56.25 52 4 810 2.00 1.00 1308 1082 18.57 81.48 52 5 540 2.10 1.00 1114 1025 14.89 62.96 Table 4: Analysis of variance (ANOVA) for model fitting Fitting of model on Df Sum of Squares Mean sum of squares F Value p-value (Prob > F) Rehydration Ratio 9 0.76 0.085 3.73 0.0483 Shrinkage ratio 9 0.11 0.012 4.66 0.0273 Hardness 9 6.351E+006 7.057E+005 3.86 0.0444 Chewiness 9 3.056E+006 3.396E+005 11.16 0.0022 Colour 9 81.69 9.08 4.69 0.0269 Overall acceptability 9 1415.46 157.27 4.03 0.0397
  • 5. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 210 | P a g e 26.00 32.50 39.00 45.50 52.00 3.00 3.50 4.00 4.50 5.00 RR A: Loading Density B:AirVelocity 2 2.1 2.2 2.2 5 3.00 3.50 4.00 4.50 5.00 26.00 32.50 39.00 45.50 52.00 1.9 2 2.1 2.2 2.3 2.4 RR A: Loading DensityB: Air Velocity Fig 1: Contour and response surface plots showing effect of loading density and air velocity on RR 26.00 32.50 39.00 45.50 52.00 270.00 360.00 450.00 540.00 630.00 720.00 810.00 RR A: Loading Density C:PowerLevel 1.6 1.8 1.8 2 2 2.2 5 270.00 360.00 450.00 540.00 630.00 720.00 810.00 26.00 32.50 39.00 45.50 52.00 1.2 1.4 1.6 1.8 2 2.2 2.4 RR A: Loading DensityC: Power Level Fig 2: Contour and response surface plots showing effect of loading density and microwave power level on RR 3.2 Shrinkage ratio The shrinkage ratio of mushroom varied in the range of 0.75 to 1.00 with an average value of 0.875. The maximum shrinkage ratio (1.00) was found at 52 kg/m² loading density, 4 m/s air velocity and 540 W power level; while minimum shrinkage ratio (0.75) was found at 26 kg/m² loading density, 4 m/s air velocity and 810 W power level. SR increased with increase in loading density and decreased with increasing air velocity (Abasi et al 2009) in multi layer drying (Fig 3) and decreased with increase in both power level and loading density in microwave drying (Fig 4). This is due to outward flux of vapour and generated vapour pressure (Feng, Tang, Cavalieri and Plumb, 2001). The results corroborated from the Analysis of Variance (ANOVA) showed that the linear terms of LD (p-value: 0.0140) & PL (p-value: 0.0311), cross product term of LD & PL (p-value: 0.0185) and quadratic term of PL (p-value: 0.0096) are significant at 5% level of significance. Fig 3: Contour and response surface plots showing effect of loading density and air velocity on SR 26.00 32.50 39.00 45.50 52.00 270.00 360.00 450.00 540.00 630.00 720.00 810.00 SR A: Loading Density C:PowerLevel 0.8 0.8 0.9 1 5 270.00 360.00 450.00 540.00 630.00 720.00 810.00 26.00 32.50 39.00 45.50 52.00 0.7 0.8 0.9 1 1.1 SR A: Loading DensityC: Power Level Fig 4: Contour and response surface plots showing effect of loading density and microwave power level on SR 3.3 Texture The hardness of mushroom varied in the range of 720 to 2930 N with an average value of 1825 N. The maximum hardness (2930 N) was found at 39 kg/m² loading density, 5 m/s air velocity and 810 W power level; while minimum hardness 26.00 32.50 39.00 45.50 52.00 3.00 3.50 4.00 4.50 5.00 SR A: Loading Density B:AirVelocity 0.85 0.9 0.95 5
  • 6. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 211 | P a g e (720 N) was found at 52 kg/m² loading density, 4 m/s air velocity and 270 W power level. In multi layer drying, hardness decreased with increasing loading density and increased with increasing air velocity (Fig 5). In microwave drying, hardness decreased with increase in loading density and increased with increase in power level (Fig 6). The results corroborated from the Analysis of Variance (ANOVA) showed that linear terms of LD (p-value: 0.0385) & PL (p-value: 0.0055) and quadratic term of AV (p-value: 0.0269) are significant at 5% level of significance. 26.00 32.50 39.00 45.50 52.00 3.00 3.50 4.00 4.50 5.00 texture A: Loading Density B:AirVelocity 1000 1500 1500 2000 5 3.00 3.50 4.00 4.50 5.00 26.00 32.50 39.00 45.50 52.00 500 1000 1500 2000 2500 3000 texture A: Loading DensityB: Air Velocity Fig 5: Contour and response surface plots showing effect of loading density and air velocity on texture (hardness) 26.00 32.50 39.00 45.50 52.00 270.00 360.00 450.00 540.00 630.00 720.00 810.00 texture A: Loading Density C:PowerLevel 500 1000 1500 2000 5 270.00 360.00 450.00 540.00 630.00 720.00 810.00 26.00 32.50 39.00 45.50 52.00 0 500 1000 1500 2000 2500 texture A: Loading DensityC: Power Level Fig 6: Contour and response surface plots showing effect of loading density and microwave power level on texture (hardness) The chewiness of mushroom varied in the range of 473 to 1904 N with an average value of 1188 N. The maximum chewiness (1904 N) was found at 39 kg/m² loading density, 3 m/s air velocity and 810 W power level; while minimum chewiness (473 N) was found at 39 kg/m² loading density, 4 m/s air velocity and 540 W power level. In multi layer drying, chewiness decreased with increase in both loading density and air velocity (Fig 7). In microwave drying, chewiness increased with increase in both loading density and power level (Kotaliwale et al 2007) (Fig 8). The results corroborated from the Analysis of Variance (ANOVA) showed that linear term of LD (p-value: 0.0499), AV (p-value: 0.0337) & PL (p-value: 0.0003), cross product term of LD & AV (p-value: 0.0037) and quadratic term of AV (p-value: 0.0052) are significant at 5% level of significance. 3.00 3.50 4.00 4.50 5.00 26.00 32.50 39.00 45.50 52.00 400 600 800 1000 1200 1400 1600 1800 chewiness A: Loading DensityB: Air Velocity 26.00 32.50 39.00 45.50 52.00 3.00 3.50 4.00 4.50 5.00 chewiness A: Loading Density B:AirVelocity 600 800 800 1000 1000 1200 1400 1600 5 Fig 7: Contour and response surface plots showing effect of loading density and air velocity on chewiness 270.00 360.00 450.00 540.00 630.00 720.00 810.00 26.00 32.50 39.00 45.50 52.00 200 400 600 800 1000 1200 1400 1600 chewiness A: Loading DensityC: Power Level FFig 8: Contour and response surface plots showing effect of loading density and microwave power level on chewiness 3.4 Colour
  • 7. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 212 | P a g e The colour change of mushroom varied in the range of 14.20 to 22.98 with an average value of 19.00. The maximum colour change (22.98) was found at 52 kg/m² loading density, 3 m/s air velocity and 540 W power level; while minimum colour change (14.2) was found at 39 kg/m² loading density, 4 m/s air velocity and 540 W power level. Colour change increased with increase in both loading density and air velocity in multi layer drying (Fig 9). Both these results are in agreement with (Chauca et al 2002) who have reported color changes of banana during drying in terms of ‘L’ and ‘a’ values. Colour change decreased with increasing loading density and increased with increase in power level in microwave drying (Fig 10) (Maskan, 2001). The results corroborated from the Analysis of Variance (ANOVA) showed that the cross product term of LD & AV (p- value: 0.0082) and quadratic term of LD (p-value: 0.0104) are significant at 5% level of significance. 3.00 3.50 4.00 4.50 5.00 26.00 32.50 39.00 45.50 52.00 14 16 18 20 22 24 colourchange A: Loading DensityB: Air Velocity 26.00 32.50 39.00 45.50 52.00 3.00 3.50 4.00 4.50 5.00 colour change A: Loading Density B:AirVelocity 16 17 17 18 18 19 19 20 20 21 21 5 Fig 9: Contour and response surface plots showing effect of loading density and air velocity on colour change 26.00 32.50 39.00 45.50 52.00 270.00 360.00 450.00 540.00 630.00 720.00 810.00 colour change A: Loading Density C:PowerLevel 16 17 18 18 18 19 20 5 Fig 10: Contour and response surface plots showing effect of loading density and microwave power level on colour change 3.5 Overall acceptability The overall acceptability of mushroom slices varied in the range of 48.15 to 81.48 with an average value of 64.81. The maximum overall acceptability (81.48) was found at 52 kg/m² loading density, 4 m/s air velocity and 810 Watt level; while minimum overall acceptability (48.15) was found at 39 kg/m² loading density, 5 m/s air velocity and 810 Watt level. OA decreased with increase in loading density and increased with increase in air velocity in multi layer drying (Fig 11). OA decreased with increase in both power level and loading density in microwave drying (Fig.12). The results corroborated from the Analysis of Variance (ANOVA) showed that the quadratic terms of AV (p-value: 0.0109) and PL (p- value: 0.0082) are significant at 5% level of significance. 26.00 32.50 39.00 45.50 52.00 3.00 3.50 4.00 4.50 5.00 OA A: Loading Density B:AirVelocity 65 70 70 75 75 80 5 270.00 360.00 450.00 540.00 630.00 720.00 810.00 26.00 32.50 39.00 45.50 52.00 14 16 18 20 22 colourchange A: Loading DensityC: Power Level
  • 8. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 213 | P a g e 3.00 3.50 4.00 4.50 5.00 26.00 32.50 39.00 45.50 52.00 60 65 70 75 80 85 OA A: Loading DensityB: Air Velocity Fig 11: Contour and response surface plots showing effect of loading density and air velocity on overall acceptability 270.00 360.00 450.00 540.00 630.00 720.00 810.00 26.00 32.50 39.00 45.50 52.00 55 60 65 70 75 80 85 OA A: Loading DensityC: Power Level Fig 12: Contour and response surface plots showing effect of loading density and microwave power level 26.00 32.50 39.00 45.50 52.00 270.00 360.00 450.00 540.00 630.00 720.00 810.00 OA A: Loading Density C:PowerLevel 60 65 70 70 75 75 80 5 on overall acceptability 3.6 Optimization of Convective-cum-microwave drying of mushroom The optimum values of process parameters and responses are presented in Table 6. The process conditions for multi layer drying of mushroom were optimized using numerical optimization technique. The main criteria for constraints optimization were maximum possible rehydration ratio, hardness and overall acceptability and minimum possible shrinkage ratio, color change (Themelin et al 1997; Ade-Omowaye et al 2002). The contour plots for each response were generated for different interaction of any two independent variables. In order to optimize the process conditions for multi layer drying of mushroom by numerical optimization technique, equal importance of ‘3’ was given to three process parameters (viz. loading density, air velocity and microwave power level ) and responses (i.e. rehydration ratio, shrinkage ratio, color, hardness, chewiness and overall acceptability). The conditions were experimentally verified with deviation of +0.10%. The optimum operating conditions for loading density, air velocity and microwave power level was 38.80 kg/m2 and 3.86 m/sec at 600 C and 413.6 W power level. Corresponding to these values of process variables, the value of rehydration ratio, shrinkage ratio, texture (hardness and chewiness), colour change and overall acceptability were 2.15, 0.84, 739 N, 473 N, 15.50 and 72.50 respectively. The overall desirability was 0.78.
  • 9. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 214 | P a g e Table 6: Optimum values of process parameters and responses Process parameters Goal Lower limit Upper limit Importance Optimization level A: Loading Density (kg/m²) in range 26 52 3 38.80 B: Air Velocity (m/s) in range 3 5 3 3.86 C: Power level (W) in range 270 810 3 413 Responses predicted value Rehydration ratio Maximize 1.40 2.40 3 2.15 Shrinkage ratio Minimize 0.75 1.00 3 0.84 Hardness Minimize 720 2930 3 739 Chewiness in range 473 1904 3 473 Colour change (E) Minimize 14.20 22.98 3 15.50 Overall acceptability Maximize 48.15 81.48 3 72.50
  • 10. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 215 | P a g e 3.00 3.50 4.00 4.50 5.00 26.00 32.50 39.00 45.50 52.00 Overlay Plot B: Air Velocity (m/sec) A:LoadingDensity(kg/m2) SR: 0.890 RR: 2.000 RR: 2.000 RR: 2.160 texture: 720.000 texture: 750.000 colour change: 19.000 colour change: 19.000 OA: 70.000 OA: 70.000 OA: 81.480 chewiness: 472.650 chewiness: 1100.000 Fig 13: Superimposed contour plot of different responses for optimization of convective cum microwave dehydration of mushroom.
  • 11. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 216 | P a g e 270.00 360.00 450.00 540.00 630.00 720.00 810.00 26.00 32.50 39.00 45.50 52.00 Overlay Plot C: Power Level (W) A:LoadingDensity(kg/m2) SR: 0.780 SR: 0.780 SR: 0.890 RR: 2.100 RR: 2.160 texture: 720.000 texture: 900.000 colour change: 20.000 OA: 70.000 OA: 70.000 OA: 81.480 chewiness: 472.650 chewiness: 1200.000 Fig 14: Superimposed contour plot of different responses for optimization of convective cum microwave dehydration of mushroom
  • 12. Shakti Bansal et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.206-217 www.ijera.com 217 | P a g e References [1] Abasi S, Mousavi S M, Mohebi M and Kiani S (2009) Effect of time and temperature on moisture content, shrinkage and rehydration of dried onion. Iranian J chem Engg 6(3). [2] Ade O, Rastogi N K, Angersbach A and Knorr D (2002) Osmotic dehydration behavior of red paprika (Capsicum annum L.) J Fd Sci 67: 1790-96. [3] Brennan M H and Gormely (2000) Extending the shelf life of fresh sliced mushrooms. J Sci Fd Agric 26: 401-11. [4] Chang S T and Buswell J A (1996) Mushroom nutraceuticals. W Microbiol Biotechnol 12: 473-76. [5] Chauca C, M., Ramos, A M and Stringheta, P. C. (2002). Color and texture change during banana drying (Musa spp. nanica).Allimentaria, 337:153–58. [6] Chua K J, Mujumdar A S, Hawlader M N A, Chou S K and Ho J C (2001) Batch drying of banana pieces -effect of stepwise change in drying air temperature on drying kinetics and product colour. Fd Res Int 34: 721-31. [7] Erle U (2005) Drying using microwave processing. In: The microwave processing of foods. Schubert H, Regier M (ed), Woodhead Publication, Cambridge, England. Pp:142–52. [8] Hawksworth D L (2001) Mushrooms: the extent of the unexplored potential. Int J Med. Mush 3: 333-37. [9] Hunter S (1975) The measurement of appearance. Pp: 304-05, John Wiley and Sons. New York. [10] Khraisheh M A M, Cooper T J R and Magee T R A (1997) Shrinkage characteristic of potatoes dehydrated under combined microwave and convective air conditions. Drying Technol Int 15: 1003-22. [11] Kotwaliwale N, Bakane P and Verma A (2007) Changes in textural and optical properties of oyster mushroom during hot air drying. J Fd Engg 78(4):1207-11. [12] Mandeel Q A ,Al-Laith A A and Mohamed S A (2005) Cultivation of oyster mushrooms (Pleurotus spp.) on various lignocellulosic wastes World J Microbiol Biotechnol 21: 601–07. [13] Maskan M (2001) Kinetics color change of kiwifruits during hot air and microwave drying. J Fd Engg 48:169-75. [14] Mohanta B, Dash S K, Panda M K, Sahoo G R (2011) Standardization of process parameters for microwave assisted convective dehydration of ginger. J Fd Sci Technol. Print ISSN 0022-1155. [15] Prabhanjan D G Ramaswamy H S and Raghavan, G S V (1995) Microwave- assisted convective air drying of thin layer carrots. J Fd Engg 25: 283-93. [16] Ranganna S (1986) Handbook of analysis and quality control for fruits and vegetable products. 2nd edition, pp 171-74. Tata McGraw Hill publishing company Ltd. New Delhi, India. [17] Royce D J and Schisler L C (1980) Mushrooms: Consumption, production and cultivation. Interdiscip Sci Rev 5:324-31. [18] Sahoo N R and Mohanty S N (2011) Microwave Assisted Convective Drying of Onion (Allium cepa L.) J Agric Sci (RJAS) SSN: 0976-1675. [19] Themelin A, Raoult WA L, Lebert A and Danzart M (1997) Multicriteria optimization of food processing combining soaking prior to air drying. Drying Technol 15: 2263-79.