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Sensory optimization of crackers developed from high-quality cassava flour, starch, and prawn powder

Sensory optimization of crackers developed from high-quality cassava flour, starch, and prawn powder

Akonor, Paa T., Dziedzoave, Nanam T., Buckman, Evelyn S., Mireku Essel, Edna, Lavoe, Francis and Tomlins, Keith I. (2016) Sensory optimization of crackers developed from high-quality cassava flour, starch, and prawn powder. Food Science and Nutrition, 5 (3). pp. 564-569. ISSN 2048-7177 (Online) (doi:10.1002/fsn3.431)

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Abstract

Crackers produced from high-quality cassava flour (HQCF), cassava starch, and prawn powder were optimized based on sensory preference testing. Ten different formulations of crackers were produced using mixture design. These were subjected to sensory evaluation using attributes such as taste, crispiness, puffiness, and acceptability on a 7-point hedonic scale. A mean score of 4.7, 5.6, 5.2, and 5.2 was obtained correspondingly for taste, crispiness, puffiness, and acceptability. Scores for these attributes indicated that the crackers were acceptable. Mixture regression models were used to generate contour plots for the sensory attributes and these were superimposed to obtain an optimal region, from where an optimum formulation was chosen. Verification of the optimal formulation with acceptability studies confirmed that the newly developed snack had a likeness score of 6.3 and was highly acceptable to consumers. The study demonstrates the suitability of HQCF in processing value added snack products.

Item Type: Article
Additional Information: © The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium provided the original work is properly cited.
Uncontrolled Keywords: Cassava flour; Crackers; Mixture Design; Optimization; Sensory evaluation
Subjects: S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Food & Markets Department
Last Modified: 27 Jul 2017 16:33
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/16777

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