Sky Journal of Food Science Vol. 5(7), pp. 050 - 054, December, 2016 Available online http://www.skyjournals.org/SJFS ©2016 Sky Journals Full Length Research Paper Response surface modeling and optimization of effects of process variables combinations on sensory properties of roasted African breadfruits Umezuruike A. C. and Nwabueze T. U. Department of Food Science and Technology, College of Applied Food Sciences and Tourism, Michael Okpara University of Agriculture, Umudike, Nigeria. Accepted 25 November, 2016 African breadfruits (Treculia africana) were roasted at different designed roasting temperatures, roasting time and feed quantity, process variable combinations using response surface methodology complemented with Central Composite Rotable Design (CCRD), delulled and evaluated for appearance, crispness, taste, aroma and overall acceptability using a nine point hedonic scale. Results were modeled using second order regression and optimization of values calculated with Minitab statistical software. Different process variable conditions influenced the sensory indices of roasted seeds at all regressional models adequately described the data. There were significant (P < 0.05) differences in the effect of treatment variables on sensory properties of roasted samples. Roasting temperature and roasting time were identified as critical variables with significant (P < 0.05) linear and squared effects on sensory attributes of African breadfruit seed snacks. All regressional models adequately described the data. The optimum setting of 166.45°C roasting temperature 42.12min, roasting time and 549.27 g feed quantity was identified for peak sensory properties whose mean values were higher than minimum acceptable score of 5. The optimum locum of process setting can be easily and successfully applied by local processors with its attendant benefits. Key words: African breadfruits, process variables, optimization, response surface and sensory properties. INTRODUCTION Roasted African breadfruit seed is a snack is widely consumed in many tropical and sub-tropical regions of the world. The snack is eaten with coconut, Palm kernel or roasted peanuts. The consumption of roasted African breadfruits is fast gaining popularity because of its rich nutrients and the quest for exploitation of lesser known legumes for alleviation of malnutrition in developing nations (Nwabueze, 2006). The protein (22%), carbohydrate (63%), fat (11%) and rich mineral contents of African breadfruit compare favourably with other legumes such as cowpeas, soybean, peanuts, African yam bean (Balogun and Fetuga, 1986). In addition roasted African breadfruit seed snack is an article of trade for urban dwellers and an important source of income for households which derive their income from *Corresponding author. E-mail: [email protected]. sales of seed snack to travelers (Okaka and Okaka, 2005). Two major varieties of African breadfruit (Treculia Africana) seeds are common with local processors (Nwabueze, 2010). Those varieties have seed diameter dimensions ranging from 2.5 mm (small) to 4.0 mm (large). These seed dimensions have important implications for heat penetration and chemical changes which occur in the roasted seeds leading to intermediate compounds which may impact desirable and undesirable properties such in appearance taste, aroma, etc. on the finished products. Pre-dehulling roasting treatments are important since consumer acceptability of African breadfruit seed snacks is influenced by appearance, crispness taste and aroma characteristics (Siegal and Faweth, 1976). Roasting temperature, roasting time and feed quantity are important process variables during the roasting of seeds snack. These process factors exert liner, squared or cross product effects and are responsible for heat transfer and chemical changes in Umezuruike and Nwabueze 51 Table 1. Experimental layout of process variable combination. X1 +1 1.682 0 0 0 X2 +1 0 1.682 0 0 X3 +1 0 0 1.682 0 Combination 8 2 2 2 1 Replication 1 1 1 1 6 Experiments 8 2 2 2 6 Range and levels of the experimental variables used in the coded and un-coded forms are summarized in Table 2. Table 2. Experimental range of process variables. Code Variables RT (ºC) RM (min) FQ (g) X1 X2 X3 -1.682 126.36 Coded -1 Level 0 1 1.682 31.59 331.80 140 35 400 160 40 500 180 45 600 193.64 48.41 668.20 RT: Roasting Temperature RM: Roasting Time FQ: Feed quantity processed products (Nwabueze, 2009). Local heat processing of African breadfruit seeds usually employ temperatures above 100°C (Nwabueze, 2009) which poses important challenges to African breadfruit seed processing. Inappropriate heat processing of legumes at temperature above 177°C has been reported to result to darker colours, burnt taste and poor acceptability of product (Griffith and Castel – Perez, 1998). Though roasting could be described as a simple operation, local processors who dominate the roasted African breadfruit seed trade do not grade their seeds and lack the knowledge and skill needed manipulate heat treatment needed to produced seeds snacks of very high grade through process variable combinations. Often times, poor processing/roasting lead to poor product acceptability, loss of income and frustration. This study aimed to identify for the benefits of processors, consumers and researchers using response surface, the process variables combinations that optimize process conditions and the sensory properties of roasted mixed varieties of African breadfruit seeds. Response surface methodology complemented with central composite rotable design has been successfully used to optimize process variable combination leading to peak quality product in a product class (Khuri and Cornell, 1987; Chen and Lin, 2002). MATERIALS AND METHODS Seed samples and preparation Freshly harvested African breadfruit seeds (T. africana) were purchased from Umuahia main market Abia State Nigeria. The seeds were thoroughly washed with clean water, screened for contaminants and dried under a shade at ambient temperature from 24 h. The air dried seeds were roasted in Electric oven (Fishers Scientific) in 20 experimental runs. Experimental design Response surface methodology was used in the experimental design and analyses (Nwabueze, 2010). A central composite rotable design at three variables and five levels combinations involving 8 factorials, four axials and six replications as the center as described on Tables 1 and 2 was used. The roasted seeds were the dehulled with locally fabricated dehuller. The dehulled seeds were characterized for sensory qualities on a 9 point hedonic scale. Evaluation and statistical modeling of sensory properties Nineteen trained judge evaluated the sensory properties of the roasted and dehulled African breadfruit seed snack. Sensory parameters such as appearance, taste, chewiness/crispness, and aroma and over all acceptability were assessed using a 9 point hedonic scale according to the method described by Iwe (2007). The data obtained from of the sensory properties examined was statistically analyzed using Analysis of variance (Anova), second order polynomial regression and summarized in the Equation 1 below. Y= 0 +∑ ∑ x 2 12 + ∑ Where y = measured response, xi xj + e 0 = intercept, (1) 52 Sky J. Food Sci. Table 3. Regression co-efficient of roasted seeds sensory properties. Co-efficient B0 B1 B2 B3 B11 B22 B33 R2 R2()Adjusted) Lack of fit Appearance -30.798 0.725 -0.816 NS NS NS NS 92.45 85.15 NS Crispness -54.204 1.885 NS NS 0.019 NS 63.84 61.30 NS Taste -40.290 0.312 1.004 NS 0.001 0.011 NS 85.98 73.36 NS Aroma -85.604 0.858 NS NS 0.003 0.011 NS 92.4`1 85.57 NS Overall acceptance -62.017 0.671 NS NS 0.002 NS NS 74.42 61.40 NS NS: not significant (P < 0.05); All other co-efficient are significant (P < 0.05). Table 4. Optimal values of process variables and sensory attributes. Variables Temperature Roasting time Feed quality Sensory attributes Appearance Crispness Taste Aroma Overall acceptance Optimum values 166.45°C 42.12min 549.27g Predicted 7.20 8.24 7.82 7.98 7.92 = co-efficient, Xi xj = interactions and e = error term Minitab statistical software (Minitab Inc, USA) was used for the regression analysis and prediction of optimal values for process variables. RESULTS AND DISCUSSION The estimated regression co-efficient for sensory properties of roasted African breadfruit seeds snack are shown on Table 3. The optimum obtainable sensory properties values of the roasted seeds corresponding to optimum process variables values are shown in Table 4 Appearance Heat processing as consistent with roasting has significant impact on the overall quality of roasted African breadfruit seeds. The appearance of roast processed seats of African bread fruits is the primary attribute that influences the decision of consumer to purchase or consume the snack (Nwabueze, 2009). Sensory scores for appearance ranged from 4.21 to 7.88 under different process conditions. Roasting temperature (RT) and Roasting time (RM) were identified to be critical to appearance (Table 3). Increased roasting temperature and duration resulted in the darkening of the roasted Experimental 7.88 8.30 8.01 8.00 8.10 seeds at higher temperature. These effects were significantly (P 0.05) linear and quadratic in their contribution to the final appearance of roasted African breadfruit seeds snack. The coefficient of determination 2 2 R , adjusted R and lack of fit implied the adequacy of the model to describe variability in appearance. The regression equation for appearance with the significant terms can be written as the Equation 2 below: Ap = -30.793 + 0.725RT –0.816RM – 0.002RM 2 2 0.012RM (R = 0.93) …. (2) 2 + Where Ap = appearance RT = roasting temperature RM = roasting time. The optimum sensory score for appearance was predicted at 7.20 at the optimum process variable combinations of 166.45ºC, 42.12min and 549.27g of African breadfruit seeds (Table 4). A sensory score of 7.2 on a 9 point hedonic scale is indicative of good product appearance important for consumer acceptability. Crispness Texture properties especially chewiness and crispness Umezuruike and Nwabueze are important for the savouring of roasted African breadfruit seeds snacks. Hardness influence chewiness by affecting the amount of energy needed to chew the snacks. Grain hardness is affected by moisture content, chemical composition and heat treatment (Ahmed et al., 1996) in direct response to roasting temperature and time. For most grains reduction in moisture content reduces hardness, but reduction But reduction in moisture content has been reported to increase the hardness of roasted African breadfruit seeds (Nwabueze, 2009) through the compaction of starch granules of the seeds. The peak sensory score for chewiness/crispness was 8.30 at 166.45°C, 42.12min and 549.27 g feed quantity (Table 4). Among the process variables only roasting time produced significant (P 0.05) effects on 2, 2 chewiness/crispness. The models R adjusted R and lack of fit for describing the response parameter of texture implied the adequacy of modes to describe variability in data and the direct relationship between roasting time and chewiness/crispness. The regression equation with only significant terms is Cp = -54.204 + 1.885RM – 0.64)……………… (3) Where Cp = Chewiness/crispness RM = Roasting time 0.019RM 2 (R2 = 53 temperatures above 160°C will yield seed snack of poor taste. Aroma The Aroma score for the processed African breadfruit seeds peaked at 8.00 Roasting temperature, roasting time showed significant (P 0.05) linear and squared effects on Aroma (Table 4). The roast odour has been shown to influence taste perception (Iwe, 2007). Aroma is an important quality attribute of roasted African breadfruit seeds snacks as it is the first stimulus that reaches the olfactory system of the consumer. In the presence of moisture, protein, carbohydrate, fat and other chemical components of food, heat acts as catalyst for chemical reactions that produce desirable and undesirable odour products (Wilcox, 2006). African breadfruits seeds contain averagely 22% protein, 63% carbohydrates, 11% fat, and 36% moisture which readily provide the condition for odorous products generation (Okaka and Okaka, 2005). The co-efficient of determination predicting the mean score for aroma explained up to 92.41% (Table 3) variability in data. The regression equation (5) predicting the relationship between Aroma and process variables showed the significant (P < 0.5) linear effect of Roasting Temperature and the quadratic effect of roasting time on aroma of roasted seeds. Taste The equation can be written as:Taste is an important sensory attribute for the consumption of roast processed African breadfruit seeds snack. These results are in agreement with reports of Srivaster et al. (1994) and Nwabueze (2009), which stated the important influence of roasting temperature and time on taste of roasted products such Soybean, Maize, and African breadfruit seeds. Roasting temperature and roasting time showed significant (P 0.05) linear and quadratic effects on taste. The mean sensory scores for taste ranged from 6.04 to 8.01. The peak value of 8.01 was reported at optimum setting of 166.45°C 42.12min, and 549.27 g feed quantity (Table 4). The model predicted up to 85.98% of data variability. The regression equation without non-significant terms can be written as: Ts = -40.290 + 0.312RT + 1.004RM – 1.001RT 2 0.011RM (R2 = 0.86)….. (4) 2 – Where Ts = taste RT = roasting temperature RM = roasting time Increasing roasting temperature and roasting time above 160ºC and 40min leads to poor taste of product. Optimum control of roasting conditions is important in order to prevent burnt flavor of roasted seeds. Result showed that roasting African Bread fruit seeds at 2 2 Ar = -85.604 + 0.858RT – 0.003RT – 0.011RM – (0.92) ………………. (5) Where Ar = Aroma RT = roasting temperature RM = Roasting Time The preference score (8.00) for aroma is similar to the hedonic score (8.01) for taste. As flavor components aroma and taste scores depict high flavor acceptability of the roasted seeds. Overall acceptability The overall acceptability score of the roasted seeds was 8.10 for experimental model which showed that roasting was responsible for producing seed snack of superior quality. Roasting temperature showed significant linear and quadratic effects on overall acceptability of roasted 2 African breadfruit seeds (Table 3). The models R , 2 adjusted R and lack of fit implied adequacy of model to describe variability as well as underscoring the influence of roasting temperature on overall acceptability. The regression equation which explains the relationship between overall acceptability and roasting temperature was described by 54 Sky J. Food Sci. 2 OA = -62.017 + 0.671RT – 0.002RT (0.74) (6) Where OA = overall acceptability RT = roasting temperature The overall acceptability score (8.10) reflects the high quality attributes for appearance, chewiness/crispness taste and aroma. Conclusion This study identified and characterized the unified optimum condition for peak sensory qualities of roasted African breadfruit seeds eaten snack. Roasting of African breadfruit seeds for snacks at different temperature and time combinations affected the sensory properties and overall acceptability of the product. Roasting temperature and roasting time are the two most important processing variables. Which impacted both significant (P 0.05) linear and quadratic effects on appearance, crispness, aroma, taste and overall acceptability. Moderate roasting at temperature of 160 – 166°C, roasting time 40 - 42.12 min, feed and quantity of 549.29 g produced product of higher sensory values. Response surface methodology was effective in identifying the optimum variable combinations for maximum sensory attributes of the processed seeds. Optimum sensory quality parameters were shown to reside at 166.45°C roasting temperature; 42.12 min roasting time and 549.27 g feed quality. Roasting of African breadfruit seeds for snacking at the optimum process condition is important for enhanced consumer product appeal, purchase for consumption, and boast income from African breadfruit industry. REFERENCES Ahmed A (1996). Centrifugal rice Huller, an active device for rice processing. Agric. Mech. in Asia Africa and Latin Am. 27(2): 29-37 Balogun AM Fetuga BL (1986). Chemical composition of some under exploited leguminous crops in Nigeria. J. Agric. and Food Chem., 34: 189-192. Chan MJ, Lin CN (2000). 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