To read this content please select one of the options below:

Optimization of mixed aonla-guava fruit bar using response surface methodology

Manoj Kumar Mahawar (Division of Horticultural Crop Processing, Central Institute of Post-Harvest Engineering and Technology, Ludhiana, India)
Kirti Jalgaonkar (Division of Horticultural Crop Processing, Central Institute of Post-Harvest Engineering and Technology, Ludhiana, India)
Bhushan Bibwe (Division of Horticultural Crop Processing, Central Institute of Post-Harvest Engineering and Technology, Ludhiana, India)
Tushar Kulkarni (Council of Scientific and Industrial Research – Central Food Technological Research Institute, Mysore, India)
Bharat Bhushan (Division of Horticultural Crop Processing, Central Institute of Post-Harvest Engineering and Technology, Ludhiana, India)
Vijay Singh Meena (Division of Horticultural Crop Processing, Central Institute of Post-Harvest Engineering and Technology, Ludhiana, India)

Nutrition & Food Science

ISSN: 0034-6659

Article publication date: 18 May 2018

Issue publication date: 10 July 2018

255

Abstract

Purpose

This paper aims to optimize the quantum of aonla pulp that could be mixed with guava pulp to make a nutritional rich fruit bar. The developed fruit bar will not only help in the improvement of processing value of both Guava and underused but highly nutritional Aonla but also serve the purpose of improvement in nutritional status of consumers.

Design/methodology/approach

Response surface methodology (RSM) using Box–Behnken design was used with the process variables as aonla and guava pulp ratio, PR (30:70, 40:60, 50:50); pectin concentration, PC (0, 0.15, 0.30%); and drying temperature, DT (50, 60, 70°C) for optimization of process conditions. The prepared mixed fruit leather was evaluated for physico-chemical, textural and sensory properties such as titratable acidity (TA), ascorbic acid content (AA), L value (lightness), cutting force (CF), taste and overall acceptability (OAA).

Findings

Second-order regression models fitted for TA, AA, L value (lightness), CF, taste and OAA were highly significant (P = 0.01) with the coefficient of determination (R2 = 0.85). The TA and AA of mixed fruit bar increased whereas L value, CF, taste and OAA decreased with increasing level of aonla pulp in the blend formulation. The optimum process conditions for mixed aonla-guava bar with desirable characteristics were 40:60 (PR), 0.02% (PC) and 56°C (DT). The corresponding optimum values of TA, AA, L value, CF, taste and OAA were 1.00%, 164 mg/100 g, 50, 5066 g, 7.83 and 7.92, respectively. The design formulation and data analysis using RSM validated the optimum solution.

Originality/value

This paper demonstrates that optimum blending of aonla and guava pulp has improved the overall nutritional characteristics and acceptability of the final product. This will not only help in reducing the associated post-harvest losses but also encourage the cultivators/local processing industries by stabilizing the price during glut sea.

Keywords

Citation

Mahawar, M.K., Jalgaonkar, K., Bibwe, B., Kulkarni, T., Bhushan, B. and Meena, V.S. (2018), "Optimization of mixed aonla-guava fruit bar using response surface methodology", Nutrition & Food Science, Vol. 48 No. 4, pp. 621-630. https://doi.org/10.1108/NFS-09-2017-0189

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

Related articles