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Akanksha Jain Rakesh Gehlot Saleem Siddiqui Mukesh R. Jangra

Abstract

Central Composite Design (CCD) was employed for optimizing the recipe for development of Aonla squash with juice content (25 to 40%), acidity (1.00 to 1.10%) as independent variables and adjusting 50% total soluble solids. Thirteen different experimental combinations given by RSM design were used to investigate the effect of independent process variables on four product responses developed squash. RSM evaluated responses of the 13 squash recipes by second order quadratic equations and found that pH ranged from 2.69-3.00, ascorbic acid from 102-212 mg/100ml, browning from 0.428- 0.579 and overall acceptability scores from 6.25-7.75. ANOVA analysis showed that the product responses of beverages were significantly affected (at 5%) by changes in juice and acidity of the squash recipes. Overall acceptability scores of the beverage increased with the increase in proportion of juice content from 25 to 40%. The coefficient of determination i.e., R2 for all responses was higher than 0.95 and nonsignificant lack of fit was observed for all models; which was desirable. Through numerical optimization, standardized recipe selected by RSM for aonla squash was with 40% juice and 1% acidity getting highest desirability of 0.991. The pH, ascorbic acid, browning and overall acceptability for the optimum recipe predicted by the design were 2.96, 197.8 mg/100 ml, 0.557 and 7.7, respectively. Thus, present study was first in its kind to optimize aonla squash recipe by using RSM as a tool which gave advantage of not only selecting best recipe but also provided impression of the influence of ingredients used in squash’s preparation on its physico-chemical profile.

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Keywords

Aonla squash, Central composite design, Optimization, Overall acceptability, RSM

References
Altan, A., McCarthy, K.L. and Maskan, M. (2008). Evaluation of snack foods from barley-tomato pomace blends by extrusion processing. J. Food Engg. 84: 231-242.
Bhattachaterjee, A.R., Tandon, D.K., Kumar, S. and Dikshit, A. (2012). Quality of aonla juice as affected by storage temperature. Bev. Food World. 39(4): 54-56.
Choudhary, M. L., Verma, I. M., Jitendra, S., Atul, C. and Godara, S. L. (2013). Studies on biochemical changes in aonla (Emblica officinalis Gaertn.) squash under storage condition. Progressive Hortic. 45(2): 281-285.
Deshpande, R.P., Chinnan, M.S. and McWatters, K.H. (2008). Optimization of a chocolate-flavored, peanut–soy beverage using response surface methodology (RSM) as applied to consumer acceptability data. LWTFood Sci. Technol. 41(8):1485-1492.
Devaki, C.S. and Premavalli, K.S. (2012). Development of bitter gourd fermented beverage using response surface methodology. J. Pharmacy Nutri. Sci. 2: 94-103.
Devaki, C.S. and Premavalli, K.S. (2012). Development of Fermented Beverage Using RSM and Nutrients Evaluation. J. Food Res. 1(3):138-147.
Ganachari, A., Thangavel, K., Mazara Ali, S., Nidoni, U. and Ananthacharya. (2010) Physical properties of Aonla fruit relevant to the design of processing equipments. Int. J. Engg. Sci. Technol. 2(12): 7562-7566.
Jain, A. and Grewal, R.B. (2015). Development and quality evaluation of value added extruded snacks by supplementing amaranth and guar gum in mixed cereal flour formulation constituting maize, rice and wheat. Int. J. Recent Sci. Res. 6(9): 6221-6227.
Jain, A., Gahlot, R. and Sidiqqui, S. (2015). Optimization of recipe for preparation of papaya ready-to-serve drink using response surface methodology (RSM). J. Agric. Engg. Food Technol. 2(3): 155-161.
Jaiswal, R., Singh, G. and Singh, A.K. (2008). Evaluation of aonla cultivars for squash making. Prog. Agric. 8(1):29-31.
Khan, H. and Dalakoti, H. (2013). Probiotication of beverages using whey and watermelon juice. Food Sci. Res. J. 23: 576-579.
Kumar, A. and Singh, K. (2012). Utilization of whey for the production of instant energy beverage by using response surface methodology. Adv. J. Food Sci. Technol. 4 (2):103-111.
Kumar, S. and Nath, V. (1993). Storage stability of aonla fruits: a comparative study of zero energy cool chamber versus room temperature. J. Food Sci. Technol. 30(3): 202-203.
Majumdar, T.K., Wadikar, D.D. and Bawa, A.S. (2012). Development and storage stability of aseptically processed ash gourd-mint leaves juice. Int. Food Res. J. 19 (3):823-828.
Manual for analysis of fruits and vegetable products. (2012). ‘Determination of total soluble solids’, pp.4-5. Retrieved from www.fssai.gov.in/ draft manuals/fruits & vegetable.pdf
Melo, L., Cardoso, J.M.P., Battochio, J.R. and Bolini, H.M.A. (2013). Using response surface methodology and highintensity sweeteners positive synergy to optimize peach nectar acceptability. Food Nutr. Sci. 4:503-509.
Mishra, V., Mishra, P. and. Rai, G.K. (2010). Process and product standardization for the development of amla bar. Beverage & Food World. 34(6): 58-60.
Pathak, R.K., Pandey, D., Hasseb, M., Tandon, D.K. and Mishra, A.K. 2002. Aonla. CISH, Lucknow, p. 36.
Priya, M.D. and Khatkar, B.S. (2013). Effect of processing methods on keeping quality of aonla (Emblica officinalis Gaertn.) preserve. Int. Food Res. J. 20(2): 617-622.
Ranganna, S. (2008). Handbook of Analysis and Quality Control for Fruit and Vegetable Products. 2nd Ed. Tata McGraw Hills Publishing Co. Ltd., New Delhi.
Rebouças, M.C., Rodrigues, M.C. and Afonso, M.R. (2014). Optimization of the acceptance of prebiotic beverage made from cashew nut kernels and passion fruit juice. J. Food Sci. 79(7): 1750-1755.
Sahu, G.D., Singh, P. and Singh, A.K. (2010). Studies on the physico-chemical changes in Aonla preserve (Murabba) of three cultivars during storage. Res. J. Agric. Sci. 1(4): 419-425.
Saniah, K. and Hasimah, H.A. (2008). Development of Morinda citrifolia citrus-flavoured drink using Response Surface Methodology (RSM). J. Trop. Agric. 36 (1): 87–89.
Section
Research Articles

How to Cite

Optimization of recipe for development of Aonla squash- A Response surface methodology approach. (2016). Journal of Applied and Natural Science, 8(3), 1341-1348. https://doi.org/10.31018/jans.v8i3.964