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Food Science and Quality Management www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol.14, 2013
11
Evaluation O F Cookies from (Wheat, Yam, And Soybean) Blend
Z. O. Apotiola and J.F. Fashakin;ly
Department of Food Technology, Lagos State Polytechnic, Ikorodu, Lagos
Department of Hospitality Management, Lagos State Polytechnic,
Ikorodu, Lagos
zoapotiola@yahoo.com, 08028298044
ABSTRACT
Cookies were produced from yam (Dioscorea spp), Soybean (Glycine max) and wheat (Trititum, spp) flour
blends. Yam and soybean were processed into flour and used to substitute wheat flour at different proportions
(80:10:10%, 70:20:10%; 60:30:10% and 50:40:10%) and 100% wheat as control. The functional properties and
proximate composition of yam, soybean and wheat flours were determined. The proximate composition of
cookies sample shows the moisture, protein, fat, ash, crude fibre and carbohydrate content ranged from 7.8 –
8.3%, 10.5 – 12.1%, 17.8 – 18.2%, 6.0 – 6.3%, 3.8 – 4.2% and 51.0 – 53.1%. There were significant differences
(p≤0.05) except the ash content. The proximate composition of flour sample shows the moisture, protein, fat, ash,
crude fibre and carbohydrate content ranged from 9.3-9.4%, 3.8 – 16.1%, 2.6 – 7.9%, 1.3 – 3.7%, 0.8 – 2.0%, and
60.9 – 81.1% respectively. There were significant difference (p≤0.05) between the flour samples except the
moisture content of wheat and soybean which has the same value of 9.3%. The functional properties of the flour
samples shows that the bulk density loosed, bulk density packed, water absorption capacity, oil absorption
capacity, emulsifying capacity, swelling capacity and gelatination temperature ranged from 0.42 - 0.43, 0.75 -
0.77, 175 – 180, 150 – 163, 14.7 – 16.1, 1.40 – 1.50, and 66.4 – 67.7 respectively. There were significant
differences (p≤0.05) in all the values. The physical properties of cookies samples show that the diameter and
thickness ranged from 5.36 – 6.05; 1.71 – 1.87; there were no significant difference (p≤0.05) between composite
cookies and 100% wheat cookies. However, the sensory evaluation of cookies shows that there were no significant
differences (p≤0.05) with 100% cookies at higher replacement of wheat flour with yam. Flour could therefore be
replaced with up to 20% with 10% of soybean and 10% of yam flour in cookies production without affecting the
sensory qualities.
Key Words: Cookies, Yam, Soyabean, Wheat and Replacement
INTRODUCTION
Cookies are flat dry sweet biscuits. The word biscuit comes from the French word “biscuit”, twice cooked, and is
a lateral description of what happened in the early days of biscuit making (Babara, 2002). In most part of the
world, baked goods based on wheat flour are popular food stuffs. The product excels in colour, coherence,
airiness, shelf life and absence of grittiness. Due to these reasons, the use of wheat flour for human consumption
is increasing considerably even in countries where soil and climate do not lend itself to wheat cultivation.
Thus, it is expected that owing the strong urbanization and population growth, the increase in wheat consumption
at the expense of indigenous product will increase (Ihekonroye and Ngoddy, 1985). In order to reduce the use of
wheat flour for baked goods cookies can be produce from flours of cereals, roots, pulses and lastly legumes
(Ruiter, 1978). Though, composite flour based foods are found to be different from wheat products and these
differences includes the colour, coherence, airiness and shelf life but the use of composite flour necessitates the
formulation flour mixtures consisting namely of indigenous raw materials such as sorghum, millet, yam, cocoyam,
rice, groundnut, cowpea and having a composition that combines optimal nutritive value with good processing
characteristics (Ruiter, 1978).
Okpala and Okoli, 2010 reported that cocoyam can be used in the production of cookies which makes it possible
for other root and tubers to be used in the production of cookies. Soybean is a remarkable source of protein for
both animals and human consumption and is also a leading source of edible oils and fat (Rita and Sophia, 2010).
Since soybean contain more protein content, the mixture of soybean flour with yam flour is mainly a form of
fortification of protein and small amount of fat and oil from the soybean improves the nutritional quality of the
cookies.
Objectives includes to produce cookies from composite of yam, soybean and wheat flour, to determine the
physico-chemical properties of the cookies and flour, to determine the spread factor and thickness of the cookies,
to determine the sensory properties of the cookies produced.
Food Science and Quality Management www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol.14, 2013
12
MATERIALS AND METHOD
RAW MATERIAL
The yam and soy bean were purchased from a retail outlet in Sabo Market, Ikorodu, Lagos. Wheat flour and all
other baking ingredients such as eggs, baking powder, fat, milk and flavourings were also obtained from the same
source.
PREPARATION OF YAM FLOUR
The method of (Binta et al, 2010) was adopted in the preparation of yam flour. 10kg of yam was washed, peeled,
cubed, blanched, steamed for few minutes and dried. The dried cube was grinded mechanically using an attrition
machine to form yam flour. The Yam flour was packaged in an airtight HPDE film until ready for further use.
PREPARATION OF SOYBEAN FLOUR
The method of (Oluwamukomi et al, 2005) was adopted in the preparation of soybean flour. 4kg of soybean
(Glycine max L merrial) were sorted, washed and boiled in water at 100o
C for 30 minutes. It was dehulled
manually, washed, drained and oven dried at 55o
C for 16 hours. The dried particles were milled in an attrition
machine to obtain the flour followed by sieving using a sieve with 300um aperture and then kept in an airtight
HDPE film until ready for further use.
FORMULATION OF BLENDS
The wheat yam, soybean flours were mixed at different proportion (80: 10: 10%, 70: 20: 10%, 60: 30: 10%, 50:
40: 10%) while 100% wheat flour served as standard. a mixer was used for mixing samples to achieve uniform
blending.
PROXIMATE COMPOSITION : Protein, fat and oil, Crude fibre, ash, moisture and carbohydrate
were determined by the methods prescribed in AOAC, 1990 while functional properties were by Pearson,
1976
PREPARATION OF COOKIES
Cookies was prepared according to the modified method of (Okaka, 1997) with some modification in the recipe;
flour 300g, fat 200g, sugar 125g, salt 5g, 2whole eggs, milk 7teaspoonfuls, Nutmeg 1.5g, vanilla flavor 2
teaspoonfuls, and baking powder 5g. The fat and sugar were mixed until fluffy. Egg and milk were added while
mixing continued for about 40 minutes. Appropriate amounts of flour, baking powder, salt, nutmeg, vanilla
flavouring were slowly introduced into the mixture. The dough was rolled and cut into circular shapes of 5cm
diameter and baked in the charcoal oven until it was fully baked.
SENSORY EVALUATION
The sensory properties of cookies were determined using a twenty member panelist consisting of students from
different department of Lagos State Polytechnic. Cookies samples prepared from each blend were presented in
coded white plastic plate, using a 9 point hedonic scale with a scale ranging of 1 to 9 with 1 representing the least
score (dislike extremely) and 9 the highest score (like extremely). The order of presentation of samples was
randomized. Sachet water was provided to rinse the mouth between evaluations. The panelists were instructed to
evaluate the coded samples for crispiness, colour, taste, texture and overall acceptability (Akinjaiyeju, 2009).
DETERMINATION OF PHYSICAL PROPERTIES OF COOKIES:
The weight of the biscuit was measured by weighing on a weighing balance (model mettler PE 1600, mettle
Instrument Corporation, Greinfensee, Zurich Switzerland) with an accuracy of 0.1mg). The diameter was
measured with a calibrated ruler as described by Ayo et al (2007). The thickness of cookies was measured by
placing six cookies on top of each other followed by a duplicate reading recorded by shuffing cookies as described
by AACC (2000). All the measurements were done in two replicates of six cookies each and all the readings were
divided by six to get the values per cookie. Spread factor (sf) was calculated according to the following formula
SF = (D/T x CF) x 10
Where CF is the correction factor at constant atmospheric pressure (1.0 in the present study).
Food Science and Quality Management www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol.14, 2013
13
RESULTS AND DISCUSSION
RESULTS
Table 1: Proximate Composition of Flour
Samples Moisture
Content
Protein Fat Ash Crude Fibre Carbohydrate
Wheat 9.27±0.06a 3.83±0.06a 2.63±0.06a 1.30±0.10a 0.80±0.10a 81.17±0.06c
Soybean 9.30±0.10a 16.10±0.20b 7.87±0.06b 3.73±0.06c 2.07±0.06c 60.93±0.25a
Yam 9.47±0.06b 9.47±5.83ab 2.87±0.06c 1.6±0.10b 1.80±0.10b 78.13±0.15b
Mean in the same column followed by the same letter are not statistically different (p≤0.05).
Table 2: Functional Properties of the Flour Samples
Samples Bulk
Density
Loosed
Bulk
Density
Packed
Water
Absorption
Capacity
Oil
Absorption
Capacity
Emulsifyin
g Capacity
Swelling
Capacity
Gelatination
Temperature
Wheat 0.42±0.00a 0.75±0.00a 180.00±0.00a 155.00±0.00
b
15.00±0.00
a
1.40±0.00b 66.63±0.15b
Soybean 0.43±0.00b 0.77±0.00c 175.00±0.00b 163.00±2.89
c
16.17±0.29
b
1.5.00±0.0
0a
67.70±0.26b
Yam 0.42±0.00a 0.75±0.00b 180.00±0.00a 150.00±0.00
a
14.67±0.29
a
1.40±0.36b 66.40±0.17a
Mean in the same column followed by the same letter are not statistically significant level (p≤0.05).
Table 3:Proximate Composition of Cookies
Samples Moisture
Content
Protein Fat Ash Crude Fibre Carbohydrate
ADE 7.83±0.06a 10.46±0.15b 18.20±0.10b 6.23±0.06b 4.103±0.10c 53.17±0.15c
BDE 8.27±0.15b 12.17±0.15d 18.17±0.15b 6.07±.06b 3.8±0.06b 52.52±0.16a
CDE 7.77±0.12a 11.57±0.06c 18.03±0.15c 6.30±0.00b 4.20±0.10c 53.10±0.20c
DDE 8.13±0.15b 10.85±0.12b 17.87±0.15a 6.20±0.10b 3.93±0.06ab 52.00.±0.30a
EDE 8.37±0.12b 14.47±0.06a 17.83±0.06a 6.30±0.10b 4.07±0.06bc 51.07±0.32a
Mean in the same column followed by the same letter are not statistically significant (p≤0.05).
ADE = (100% Wheat Flour).
BDE = (Wheat Flour/Yam/Soybean, 80,10,10)
CDE = (Wheat flour/Yam/Soybean; 70:20:10)
DDE = (Wheat flour/Yam/Soybean; 60:30:10)
EDE = (Wheat flour/Yam/Soybean; 50:40:10
Table 4: Physical Properties of Cookies from Wheat, Yam, Soybean, Flour blends
Blends Diameter (cm) Thickness (cm) Weight (g) Spread factor
100% Wheat flour 6.05±0.03a 1.87±0.05a 29.44±0.20b 37.33±0.20a
80:10:10 5.99±0.01a 1.86±0.05a 29.26±0.14b 35.76±0.20b
70:20:10 5.85±0.02a 1.85±0.04a 30.62±0.08a 34.00±0.20c
60:30:10 5.40±0.01a 1.85±0.08a 30.56±0.30a 31.85±0.20e
50:40:10 5.36±0.00a 1.71±0.12a 30.42±0.03a 31.53±0.20e
Mean in the same column followed by the same letter are not statistically significant (p≤0.05).
WH: Wheat flour, YF: Yam flour; SF: Soyflour
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ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol.14, 2013
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Table 5: Sensory Evaluation of Cookies Prepared From Composite Flour
Samples Crispiness Colour Taste Texture Overall
Acceptability
ADE 4.20±0.42c 4.40±0.52c 4.20±0.92b 4.30±0.67c 4.60±0.52c
BDE 4.60±0.70c 4.30±0.67c 4.40±0.52c 4.40±0.52c 4.40±0.70c
CDE 4.00±0.67c 3.90±0.99ab 4.20±0.79c 3.80±0.92ab 3.90±0.57ab
DDE 4.00±0.94ab 3.80±0.79ab 4.30±0.82b 3.60±0.97ab 3.60±1.07a
EDE 3.40±0.97a 3.50±0.85a 3.70±1.06a 3.10±0.99a 3.20±0.79a
Mean in the same column followed by the same letter are not statistically significant (p≤0.05).
DISCUSSION
Proximate composition of flours shows that there were significant differences (p≤0.05) in carbohydrate, crude
fiber, ash, protein and fat between yam, wheat and soybean flour. The carbohydrate range from 60.9% - 81.2%.
There were significant difference between yam, wheat and soybean flour. Wheat flour has the highest value of
81.2% while soybean has the least value of 60.9%. The total carbohydrate content and indicate that these type of
flour are classified as food of the group 1 or food energy supplier of nutritive and economical value which could
represent good sources for industrial flour and starch (FAO, 1998). The crude fibre range from 0.8% - 2.0%.
There were significant differences (p≤0.05) between yam, soybean and wheat flour. Soybean flour has the highest
value of 2.0% while wheat flour has the least value of 0.8%. The protein, fat and ash content increased with the
incorporation of wheat flour and other ingredients. The values above agree with those reported in the commercial
label for similar products. Soybean has the highest fat and ash content of 7.8% and 3.7% and protein content of
16.1% respectively. Soybean has been reported to contain appreciable amount of minerals and fat. Also fat acts
as flavours returner and help to improve sensory qualities of baked products (Ikepeme et al, 2010).
The result of the functional properties of the sample in Table 2 shows that water absorption capacity range from
175 – 180. There were no significant differences (p≥0.05) in water absorption capacity between wheat and yam
flour. Soybean flour has the lowest water absorption capacity of 175. Carbohydrates have been reported to
influence water absorption capacity of foods (Echendu et al, 2004). The ability of protein to bind water is
indicative of its water capacity. The observed variation in water absorption among the cowpea flours may be due
to different protein concentration, their degree of interaction with water and their conformational characteristics
(McWatters, et al, 2003). On the other hand McWatters, et al (2003) reported that lower water absorption capacity
is due to less availability of polar amino acids in flour. This effect could probably due to loose association of
amylose and amylopectin in the native granules of starch and weaker associative forces maintaining the granules
structure . Water absorption capacity is important in bulking and consistency of product as well as in baking
application (Lorenz and Collins, 1990). This result also shows that the yam, wheat and soybean flour have a good
gelatination temperature. The gelatination range from 66.4 – 67.7. There were no significant difference (p≥0.05)
between soybean and wheat flour, soybean flour has the highest gelatination temperature of 67.7% while yam
flour has the least value of 66.4. High swelling capacity has been reported as part of the criteria for a good
quality product (Nlba et al, 2001). The swelling index of the flour sample ranged from 1.40-5.0. There were no
significant difference (p≥0.05) between wheat and yam flour which was 1.40 while soybean flour has the highest
swelling capacity of 1.5. Swelling capacity is the measure of ability of starch to immobile water and swells
(Ikegwu et al, 2009).
The oil absorption capacity ranged from 150-163. Soybean flour has the highest oil absorption capacity of 163
while yam flour has the least value of 150. There was significant difference (p≤0.05) between yam, soybean and
wheat flour.
The emulsifying capacity range from 14.67 to 16.7. There were significant differences (p≤0.05) between yam,
soybean and wheat flour. Soybean flour has the highest emulsifying capacity of 16.2 while yam flour has the least
value of 14. 7.
The bulk density loosed of the flour sample ranged from 0.42 - 0.43. There were no significant differences
between wheat and soybean flour while soybean flour has the highest value of 0.43. Bulk density gives an
indication of the relative volume of packaging material required and high bulk density is a good physical attribute
when determining the mixing quality of a particulate matter. The bulk density is a reflection of the load the flour
sample can carry, if allowed to rest directly on one matter. The density of processed products dictate the
characteristics of its container or package product density influences the amount and strength of packaging
material, texture or mouth feel (Fola, et al, 2011).
The bulk density packed ranged from 0.75-0.77. There were significant difference (p≤0.05) between yam,
soybean and wheat flour soybean has the highest value of 0.77. According to Basman et al (2003) higher bulk
Food Science and Quality Management www.iiste.org
ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online)
Vol.14, 2013
15
density is desirable for greater ease of dispensability of flours. In contrast, however, low bulk density would be an
advantage in the formulation of complementary foods (Ugwu and Ukpabi, 2002).
The results of the proximate composition of the cookies are shown in (Table 3). The results show that the blend
BDE had the highest protein content of 12.2% while samples EDE and ADE had the lowest value of 10.5%
respectively. There was no significant difference (p≤0.05) in protein content between ADE and BDE. According
to Padmaja, (1995), protein content of the tuber based composite flours could be elevated through the
incorporation of legume flours. The blend BDE had the highest carbohydrate content of 53.1% while the blend
ADE had the lowest value of 51.1%. Total carbohydrate content was high, and this agrees with the findings that
cocoyam being high in starch content should be eaten with other high protein foods (Enomfon and Umoh, 2004).
Fat acts as flavours retainer and help to improve sensory qualities of baked products (Ikepeme et al, 2010). The
fat content of sample ADE, BDE and CDE ranged from 18.0% - 18.2%. There was no significant difference
(p≤0.05) in fat content of samples ADE, BDE and CDE, while samples DDE and EDE had the same significant
values of 17.8%. As it was observed from the table an increase in yam flour lead to an increased in moisture
content.
The physical properties of cookies prepared from wheat, yam and soybean flour blends as well as 100% wheat
flour is presented in Table 4. The diameter, thickness, weight and spread ratio of cookies ranged from 5.36 to
6.05cm, 1.71 to 1.87cm, 29.26 to 30.62g and 31.53 to 37.33 respectively; there was no significant (p≥0.05)
difference in diameter and thickness between composite cookies of (BDE, CDE, DDE and EDE) and 100% wheat
cookies. The weight of composite cookies differed significantly (p≤0.05) with 100% wheat flour cookies.
Addition of soyflour to yam and wheat flour decreased the thickness and spread factor or composite cookies while
the weight increased.
The increase in weight of composite cookies due to addition of soyflour could be attributed to high bulk density of
soyflour. The higher bulk density of yam-soyflour blends could also account for higher weight of composite
cookies than 100% wheat cookies while the decrease in thickness and spread factor of the composite cookies as
reported by Mridula et al (2007) was due to the addition of soyflour which could attribute to higher protein
content of soyflour (Table 3).
Singh et al (1993) have reported a decrease in spread factor with increased protein in the cookies.
Table 5 shows colour, crispiness, texture and taste ranged between 3.50-4.40, 3.40-4.60, 3.10-4.40 and 3.70-4.20
respectively. It is evident from the results that significantly (p≤0.05) highest was by cookies prepared from ADE
4.4 while significantly (p≤0.05 lowest by cookies prepared from EDE 3.5. Judges disliked the cookies prepared
from sample EDE with respect to colour when subjected to sensory evaluation.
The crispiness values ranges from 3.4 to 4.6, there is no significant difference (p≤0.05) between the samples
except sample EDE which can be attributed to increase in volume of yam flour.
Cookies prepared from BDE have the highest significant (p≤0.05) score of 4.4 while lowest score of 3.1 was
obtained in the cookies prepared EDE.
There were significant differences (p≤0.05). Maximum score of 4.4 was scored by cookies prepared from sample
BDE respectively while minimum score of 3.7 was scored by the cookies prepared from EDE. Judges disliked
the cookies prepared from the EDE sample with respect to taste when subjected to sensory evaluation.
Overall Acceptability: The statistical analysis regarding the overall acceptability of cookies prepared from wheat,
yam and soybean blend is shown in Table 5. The result shows that supplementation significantly affected the
overall acceptability of the cookies. The value range from 3.2 – 4.6; there were no significant difference (p≥0.05)
between sample ADE and BDE, also there was no significant difference (p≥0.05) between sample DDE and EDE
respectively while sample CDE differed significantly (p≤0.05). Maximum score of 4.6 was scored by cookies
prepared from sample ADE and BDE respectively while minimum score 3.2 was scored by the cookies prepared
from EDE. Cookies prepared from EDE has been rejected by judges with respect to overall acceptability. The
results of the sensory evaluation of the cookies prepared from the different treatments of the composite flour are
according to the findings of Gambus, et al (2003), who reported increasing the levels of flaxseed flour, matric
flour and cowpea flour in the biscuit which resulted in significant decrease in the sensory attributes of the cookies.
The result of the study shows that substitution of wheat flour with yam and soybean flour increased the protein
content which was the basis of the study. It was further revealed that 10% of yam and 10% soybean with 80%
wheat flour blends produced the overall best result across all parameter and nutrients. Flour could therefore be
replaced with up to 20% with 10% of soybean and 10% of yam flour in cookies production without affecting the
sensory qualities. The use of soybean and yam flour in cookies making would greatly enhance the utilization of
this crop in sub-Saharan African countries like Nigeria where the crop has not been optimally utilized.
Food Science and Quality Management www.iiste.org
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Vol.14, 2013
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Evaluation o f cookies from (wheat, yam, and soybean) blend

  • 1. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol.14, 2013 11 Evaluation O F Cookies from (Wheat, Yam, And Soybean) Blend Z. O. Apotiola and J.F. Fashakin;ly Department of Food Technology, Lagos State Polytechnic, Ikorodu, Lagos Department of Hospitality Management, Lagos State Polytechnic, Ikorodu, Lagos zoapotiola@yahoo.com, 08028298044 ABSTRACT Cookies were produced from yam (Dioscorea spp), Soybean (Glycine max) and wheat (Trititum, spp) flour blends. Yam and soybean were processed into flour and used to substitute wheat flour at different proportions (80:10:10%, 70:20:10%; 60:30:10% and 50:40:10%) and 100% wheat as control. The functional properties and proximate composition of yam, soybean and wheat flours were determined. The proximate composition of cookies sample shows the moisture, protein, fat, ash, crude fibre and carbohydrate content ranged from 7.8 – 8.3%, 10.5 – 12.1%, 17.8 – 18.2%, 6.0 – 6.3%, 3.8 – 4.2% and 51.0 – 53.1%. There were significant differences (p≤0.05) except the ash content. The proximate composition of flour sample shows the moisture, protein, fat, ash, crude fibre and carbohydrate content ranged from 9.3-9.4%, 3.8 – 16.1%, 2.6 – 7.9%, 1.3 – 3.7%, 0.8 – 2.0%, and 60.9 – 81.1% respectively. There were significant difference (p≤0.05) between the flour samples except the moisture content of wheat and soybean which has the same value of 9.3%. The functional properties of the flour samples shows that the bulk density loosed, bulk density packed, water absorption capacity, oil absorption capacity, emulsifying capacity, swelling capacity and gelatination temperature ranged from 0.42 - 0.43, 0.75 - 0.77, 175 – 180, 150 – 163, 14.7 – 16.1, 1.40 – 1.50, and 66.4 – 67.7 respectively. There were significant differences (p≤0.05) in all the values. The physical properties of cookies samples show that the diameter and thickness ranged from 5.36 – 6.05; 1.71 – 1.87; there were no significant difference (p≤0.05) between composite cookies and 100% wheat cookies. However, the sensory evaluation of cookies shows that there were no significant differences (p≤0.05) with 100% cookies at higher replacement of wheat flour with yam. Flour could therefore be replaced with up to 20% with 10% of soybean and 10% of yam flour in cookies production without affecting the sensory qualities. Key Words: Cookies, Yam, Soyabean, Wheat and Replacement INTRODUCTION Cookies are flat dry sweet biscuits. The word biscuit comes from the French word “biscuit”, twice cooked, and is a lateral description of what happened in the early days of biscuit making (Babara, 2002). In most part of the world, baked goods based on wheat flour are popular food stuffs. The product excels in colour, coherence, airiness, shelf life and absence of grittiness. Due to these reasons, the use of wheat flour for human consumption is increasing considerably even in countries where soil and climate do not lend itself to wheat cultivation. Thus, it is expected that owing the strong urbanization and population growth, the increase in wheat consumption at the expense of indigenous product will increase (Ihekonroye and Ngoddy, 1985). In order to reduce the use of wheat flour for baked goods cookies can be produce from flours of cereals, roots, pulses and lastly legumes (Ruiter, 1978). Though, composite flour based foods are found to be different from wheat products and these differences includes the colour, coherence, airiness and shelf life but the use of composite flour necessitates the formulation flour mixtures consisting namely of indigenous raw materials such as sorghum, millet, yam, cocoyam, rice, groundnut, cowpea and having a composition that combines optimal nutritive value with good processing characteristics (Ruiter, 1978). Okpala and Okoli, 2010 reported that cocoyam can be used in the production of cookies which makes it possible for other root and tubers to be used in the production of cookies. Soybean is a remarkable source of protein for both animals and human consumption and is also a leading source of edible oils and fat (Rita and Sophia, 2010). Since soybean contain more protein content, the mixture of soybean flour with yam flour is mainly a form of fortification of protein and small amount of fat and oil from the soybean improves the nutritional quality of the cookies. Objectives includes to produce cookies from composite of yam, soybean and wheat flour, to determine the physico-chemical properties of the cookies and flour, to determine the spread factor and thickness of the cookies, to determine the sensory properties of the cookies produced.
  • 2. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol.14, 2013 12 MATERIALS AND METHOD RAW MATERIAL The yam and soy bean were purchased from a retail outlet in Sabo Market, Ikorodu, Lagos. Wheat flour and all other baking ingredients such as eggs, baking powder, fat, milk and flavourings were also obtained from the same source. PREPARATION OF YAM FLOUR The method of (Binta et al, 2010) was adopted in the preparation of yam flour. 10kg of yam was washed, peeled, cubed, blanched, steamed for few minutes and dried. The dried cube was grinded mechanically using an attrition machine to form yam flour. The Yam flour was packaged in an airtight HPDE film until ready for further use. PREPARATION OF SOYBEAN FLOUR The method of (Oluwamukomi et al, 2005) was adopted in the preparation of soybean flour. 4kg of soybean (Glycine max L merrial) were sorted, washed and boiled in water at 100o C for 30 minutes. It was dehulled manually, washed, drained and oven dried at 55o C for 16 hours. The dried particles were milled in an attrition machine to obtain the flour followed by sieving using a sieve with 300um aperture and then kept in an airtight HDPE film until ready for further use. FORMULATION OF BLENDS The wheat yam, soybean flours were mixed at different proportion (80: 10: 10%, 70: 20: 10%, 60: 30: 10%, 50: 40: 10%) while 100% wheat flour served as standard. a mixer was used for mixing samples to achieve uniform blending. PROXIMATE COMPOSITION : Protein, fat and oil, Crude fibre, ash, moisture and carbohydrate were determined by the methods prescribed in AOAC, 1990 while functional properties were by Pearson, 1976 PREPARATION OF COOKIES Cookies was prepared according to the modified method of (Okaka, 1997) with some modification in the recipe; flour 300g, fat 200g, sugar 125g, salt 5g, 2whole eggs, milk 7teaspoonfuls, Nutmeg 1.5g, vanilla flavor 2 teaspoonfuls, and baking powder 5g. The fat and sugar were mixed until fluffy. Egg and milk were added while mixing continued for about 40 minutes. Appropriate amounts of flour, baking powder, salt, nutmeg, vanilla flavouring were slowly introduced into the mixture. The dough was rolled and cut into circular shapes of 5cm diameter and baked in the charcoal oven until it was fully baked. SENSORY EVALUATION The sensory properties of cookies were determined using a twenty member panelist consisting of students from different department of Lagos State Polytechnic. Cookies samples prepared from each blend were presented in coded white plastic plate, using a 9 point hedonic scale with a scale ranging of 1 to 9 with 1 representing the least score (dislike extremely) and 9 the highest score (like extremely). The order of presentation of samples was randomized. Sachet water was provided to rinse the mouth between evaluations. The panelists were instructed to evaluate the coded samples for crispiness, colour, taste, texture and overall acceptability (Akinjaiyeju, 2009). DETERMINATION OF PHYSICAL PROPERTIES OF COOKIES: The weight of the biscuit was measured by weighing on a weighing balance (model mettler PE 1600, mettle Instrument Corporation, Greinfensee, Zurich Switzerland) with an accuracy of 0.1mg). The diameter was measured with a calibrated ruler as described by Ayo et al (2007). The thickness of cookies was measured by placing six cookies on top of each other followed by a duplicate reading recorded by shuffing cookies as described by AACC (2000). All the measurements were done in two replicates of six cookies each and all the readings were divided by six to get the values per cookie. Spread factor (sf) was calculated according to the following formula SF = (D/T x CF) x 10 Where CF is the correction factor at constant atmospheric pressure (1.0 in the present study).
  • 3. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol.14, 2013 13 RESULTS AND DISCUSSION RESULTS Table 1: Proximate Composition of Flour Samples Moisture Content Protein Fat Ash Crude Fibre Carbohydrate Wheat 9.27±0.06a 3.83±0.06a 2.63±0.06a 1.30±0.10a 0.80±0.10a 81.17±0.06c Soybean 9.30±0.10a 16.10±0.20b 7.87±0.06b 3.73±0.06c 2.07±0.06c 60.93±0.25a Yam 9.47±0.06b 9.47±5.83ab 2.87±0.06c 1.6±0.10b 1.80±0.10b 78.13±0.15b Mean in the same column followed by the same letter are not statistically different (p≤0.05). Table 2: Functional Properties of the Flour Samples Samples Bulk Density Loosed Bulk Density Packed Water Absorption Capacity Oil Absorption Capacity Emulsifyin g Capacity Swelling Capacity Gelatination Temperature Wheat 0.42±0.00a 0.75±0.00a 180.00±0.00a 155.00±0.00 b 15.00±0.00 a 1.40±0.00b 66.63±0.15b Soybean 0.43±0.00b 0.77±0.00c 175.00±0.00b 163.00±2.89 c 16.17±0.29 b 1.5.00±0.0 0a 67.70±0.26b Yam 0.42±0.00a 0.75±0.00b 180.00±0.00a 150.00±0.00 a 14.67±0.29 a 1.40±0.36b 66.40±0.17a Mean in the same column followed by the same letter are not statistically significant level (p≤0.05). Table 3:Proximate Composition of Cookies Samples Moisture Content Protein Fat Ash Crude Fibre Carbohydrate ADE 7.83±0.06a 10.46±0.15b 18.20±0.10b 6.23±0.06b 4.103±0.10c 53.17±0.15c BDE 8.27±0.15b 12.17±0.15d 18.17±0.15b 6.07±.06b 3.8±0.06b 52.52±0.16a CDE 7.77±0.12a 11.57±0.06c 18.03±0.15c 6.30±0.00b 4.20±0.10c 53.10±0.20c DDE 8.13±0.15b 10.85±0.12b 17.87±0.15a 6.20±0.10b 3.93±0.06ab 52.00.±0.30a EDE 8.37±0.12b 14.47±0.06a 17.83±0.06a 6.30±0.10b 4.07±0.06bc 51.07±0.32a Mean in the same column followed by the same letter are not statistically significant (p≤0.05). ADE = (100% Wheat Flour). BDE = (Wheat Flour/Yam/Soybean, 80,10,10) CDE = (Wheat flour/Yam/Soybean; 70:20:10) DDE = (Wheat flour/Yam/Soybean; 60:30:10) EDE = (Wheat flour/Yam/Soybean; 50:40:10 Table 4: Physical Properties of Cookies from Wheat, Yam, Soybean, Flour blends Blends Diameter (cm) Thickness (cm) Weight (g) Spread factor 100% Wheat flour 6.05±0.03a 1.87±0.05a 29.44±0.20b 37.33±0.20a 80:10:10 5.99±0.01a 1.86±0.05a 29.26±0.14b 35.76±0.20b 70:20:10 5.85±0.02a 1.85±0.04a 30.62±0.08a 34.00±0.20c 60:30:10 5.40±0.01a 1.85±0.08a 30.56±0.30a 31.85±0.20e 50:40:10 5.36±0.00a 1.71±0.12a 30.42±0.03a 31.53±0.20e Mean in the same column followed by the same letter are not statistically significant (p≤0.05). WH: Wheat flour, YF: Yam flour; SF: Soyflour
  • 4. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol.14, 2013 14 Table 5: Sensory Evaluation of Cookies Prepared From Composite Flour Samples Crispiness Colour Taste Texture Overall Acceptability ADE 4.20±0.42c 4.40±0.52c 4.20±0.92b 4.30±0.67c 4.60±0.52c BDE 4.60±0.70c 4.30±0.67c 4.40±0.52c 4.40±0.52c 4.40±0.70c CDE 4.00±0.67c 3.90±0.99ab 4.20±0.79c 3.80±0.92ab 3.90±0.57ab DDE 4.00±0.94ab 3.80±0.79ab 4.30±0.82b 3.60±0.97ab 3.60±1.07a EDE 3.40±0.97a 3.50±0.85a 3.70±1.06a 3.10±0.99a 3.20±0.79a Mean in the same column followed by the same letter are not statistically significant (p≤0.05). DISCUSSION Proximate composition of flours shows that there were significant differences (p≤0.05) in carbohydrate, crude fiber, ash, protein and fat between yam, wheat and soybean flour. The carbohydrate range from 60.9% - 81.2%. There were significant difference between yam, wheat and soybean flour. Wheat flour has the highest value of 81.2% while soybean has the least value of 60.9%. The total carbohydrate content and indicate that these type of flour are classified as food of the group 1 or food energy supplier of nutritive and economical value which could represent good sources for industrial flour and starch (FAO, 1998). The crude fibre range from 0.8% - 2.0%. There were significant differences (p≤0.05) between yam, soybean and wheat flour. Soybean flour has the highest value of 2.0% while wheat flour has the least value of 0.8%. The protein, fat and ash content increased with the incorporation of wheat flour and other ingredients. The values above agree with those reported in the commercial label for similar products. Soybean has the highest fat and ash content of 7.8% and 3.7% and protein content of 16.1% respectively. Soybean has been reported to contain appreciable amount of minerals and fat. Also fat acts as flavours returner and help to improve sensory qualities of baked products (Ikepeme et al, 2010). The result of the functional properties of the sample in Table 2 shows that water absorption capacity range from 175 – 180. There were no significant differences (p≥0.05) in water absorption capacity between wheat and yam flour. Soybean flour has the lowest water absorption capacity of 175. Carbohydrates have been reported to influence water absorption capacity of foods (Echendu et al, 2004). The ability of protein to bind water is indicative of its water capacity. The observed variation in water absorption among the cowpea flours may be due to different protein concentration, their degree of interaction with water and their conformational characteristics (McWatters, et al, 2003). On the other hand McWatters, et al (2003) reported that lower water absorption capacity is due to less availability of polar amino acids in flour. This effect could probably due to loose association of amylose and amylopectin in the native granules of starch and weaker associative forces maintaining the granules structure . Water absorption capacity is important in bulking and consistency of product as well as in baking application (Lorenz and Collins, 1990). This result also shows that the yam, wheat and soybean flour have a good gelatination temperature. The gelatination range from 66.4 – 67.7. There were no significant difference (p≥0.05) between soybean and wheat flour, soybean flour has the highest gelatination temperature of 67.7% while yam flour has the least value of 66.4. High swelling capacity has been reported as part of the criteria for a good quality product (Nlba et al, 2001). The swelling index of the flour sample ranged from 1.40-5.0. There were no significant difference (p≥0.05) between wheat and yam flour which was 1.40 while soybean flour has the highest swelling capacity of 1.5. Swelling capacity is the measure of ability of starch to immobile water and swells (Ikegwu et al, 2009). The oil absorption capacity ranged from 150-163. Soybean flour has the highest oil absorption capacity of 163 while yam flour has the least value of 150. There was significant difference (p≤0.05) between yam, soybean and wheat flour. The emulsifying capacity range from 14.67 to 16.7. There were significant differences (p≤0.05) between yam, soybean and wheat flour. Soybean flour has the highest emulsifying capacity of 16.2 while yam flour has the least value of 14. 7. The bulk density loosed of the flour sample ranged from 0.42 - 0.43. There were no significant differences between wheat and soybean flour while soybean flour has the highest value of 0.43. Bulk density gives an indication of the relative volume of packaging material required and high bulk density is a good physical attribute when determining the mixing quality of a particulate matter. The bulk density is a reflection of the load the flour sample can carry, if allowed to rest directly on one matter. The density of processed products dictate the characteristics of its container or package product density influences the amount and strength of packaging material, texture or mouth feel (Fola, et al, 2011). The bulk density packed ranged from 0.75-0.77. There were significant difference (p≤0.05) between yam, soybean and wheat flour soybean has the highest value of 0.77. According to Basman et al (2003) higher bulk
  • 5. Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol.14, 2013 15 density is desirable for greater ease of dispensability of flours. In contrast, however, low bulk density would be an advantage in the formulation of complementary foods (Ugwu and Ukpabi, 2002). The results of the proximate composition of the cookies are shown in (Table 3). The results show that the blend BDE had the highest protein content of 12.2% while samples EDE and ADE had the lowest value of 10.5% respectively. There was no significant difference (p≤0.05) in protein content between ADE and BDE. According to Padmaja, (1995), protein content of the tuber based composite flours could be elevated through the incorporation of legume flours. The blend BDE had the highest carbohydrate content of 53.1% while the blend ADE had the lowest value of 51.1%. Total carbohydrate content was high, and this agrees with the findings that cocoyam being high in starch content should be eaten with other high protein foods (Enomfon and Umoh, 2004). Fat acts as flavours retainer and help to improve sensory qualities of baked products (Ikepeme et al, 2010). The fat content of sample ADE, BDE and CDE ranged from 18.0% - 18.2%. There was no significant difference (p≤0.05) in fat content of samples ADE, BDE and CDE, while samples DDE and EDE had the same significant values of 17.8%. As it was observed from the table an increase in yam flour lead to an increased in moisture content. The physical properties of cookies prepared from wheat, yam and soybean flour blends as well as 100% wheat flour is presented in Table 4. The diameter, thickness, weight and spread ratio of cookies ranged from 5.36 to 6.05cm, 1.71 to 1.87cm, 29.26 to 30.62g and 31.53 to 37.33 respectively; there was no significant (p≥0.05) difference in diameter and thickness between composite cookies of (BDE, CDE, DDE and EDE) and 100% wheat cookies. The weight of composite cookies differed significantly (p≤0.05) with 100% wheat flour cookies. Addition of soyflour to yam and wheat flour decreased the thickness and spread factor or composite cookies while the weight increased. The increase in weight of composite cookies due to addition of soyflour could be attributed to high bulk density of soyflour. The higher bulk density of yam-soyflour blends could also account for higher weight of composite cookies than 100% wheat cookies while the decrease in thickness and spread factor of the composite cookies as reported by Mridula et al (2007) was due to the addition of soyflour which could attribute to higher protein content of soyflour (Table 3). Singh et al (1993) have reported a decrease in spread factor with increased protein in the cookies. Table 5 shows colour, crispiness, texture and taste ranged between 3.50-4.40, 3.40-4.60, 3.10-4.40 and 3.70-4.20 respectively. It is evident from the results that significantly (p≤0.05) highest was by cookies prepared from ADE 4.4 while significantly (p≤0.05 lowest by cookies prepared from EDE 3.5. Judges disliked the cookies prepared from sample EDE with respect to colour when subjected to sensory evaluation. The crispiness values ranges from 3.4 to 4.6, there is no significant difference (p≤0.05) between the samples except sample EDE which can be attributed to increase in volume of yam flour. Cookies prepared from BDE have the highest significant (p≤0.05) score of 4.4 while lowest score of 3.1 was obtained in the cookies prepared EDE. There were significant differences (p≤0.05). Maximum score of 4.4 was scored by cookies prepared from sample BDE respectively while minimum score of 3.7 was scored by the cookies prepared from EDE. Judges disliked the cookies prepared from the EDE sample with respect to taste when subjected to sensory evaluation. Overall Acceptability: The statistical analysis regarding the overall acceptability of cookies prepared from wheat, yam and soybean blend is shown in Table 5. The result shows that supplementation significantly affected the overall acceptability of the cookies. The value range from 3.2 – 4.6; there were no significant difference (p≥0.05) between sample ADE and BDE, also there was no significant difference (p≥0.05) between sample DDE and EDE respectively while sample CDE differed significantly (p≤0.05). Maximum score of 4.6 was scored by cookies prepared from sample ADE and BDE respectively while minimum score 3.2 was scored by the cookies prepared from EDE. Cookies prepared from EDE has been rejected by judges with respect to overall acceptability. The results of the sensory evaluation of the cookies prepared from the different treatments of the composite flour are according to the findings of Gambus, et al (2003), who reported increasing the levels of flaxseed flour, matric flour and cowpea flour in the biscuit which resulted in significant decrease in the sensory attributes of the cookies. The result of the study shows that substitution of wheat flour with yam and soybean flour increased the protein content which was the basis of the study. It was further revealed that 10% of yam and 10% soybean with 80% wheat flour blends produced the overall best result across all parameter and nutrients. Flour could therefore be replaced with up to 20% with 10% of soybean and 10% of yam flour in cookies production without affecting the sensory qualities. The use of soybean and yam flour in cookies making would greatly enhance the utilization of this crop in sub-Saharan African countries like Nigeria where the crop has not been optimally utilized.
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