English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Optimization of the production and chemical evaluation of cassava-based cookies supplemented with mungbean flour and coconut pomace flour using optimal design model of response surface methodology was investigated. The variables were cassava flour, mungbean flour, and coconut pomace flour while responses were sensory and physical properties. The results of the ANOVA, R-square and adjusted R-square for sensory and physical properties were significant ( p  &lt; .05). Three cookie samples (run 6, run14 and run 16) were selected from optimization results and compared with control (100% wheat flour cookies). Mungbean flour supplementation significantly ( p  &lt; .05) increased crude protein and caloric value of cookies (run 14). A higher percentage of coconut pomace flour-enhanced ash, crude fiber, carbohydrate and total dietary fiber contents of cookies (run 16). The anti-nutrient contents of cookie samples were significantly higher than control but within the acceptable limits.

Optimization of Cassava, Mungbean and Coconut Pomace Flour Levels in the Production of Fiber-Rich Cookies Using Response Surface Methodology