Can the incorporation of different concentrations of buriti (Mauritia flexuosa) oil change the rheological properties of filmogenic solutions? A factorial experimental design approach

2022 ◽  
Vol 18 ◽  
Author(s):  
Danusa Silva da Costa ◽  
Katiuchia Pereira Takeuchi ◽  
Richard Marins da Silva ◽  
Mariana Buranelo Egea ◽  
Geovana Rocha Plácido
Keyword(s):  
Experimental Design ◽  
Rheological Properties ◽  
Flow Resistance ◽  
Ph Value ◽  
Stability Index ◽  
Carotenoid Content ◽  
Factorial Experimental Design ◽  
Mauritia Flexuosa ◽  
Buriti Oil ◽  
Excellent Source

Background: Buriti (Mauritia flexuosa) oil has high economic potential because it contains monounsaturated and polyunsaturated fatty acids with high antioxidant potential and high carotenoid content, making it an excellent source of pro-vitamin A. Objective: The objective of this work was to evaluate the rheological properties of filmogenic solutions incorporated with different buriti oil concentrations. Methods: Buriti oil (0.15 to 0.45 % w/v) and emulsifier (Tween®20) (0.02 to 0.04 % w/v) were combined using a factorial experimental design 22 with 3 central points for the preparation of filmogenic solutions with cassava starch (3%, w/v) and glycerol (0.06%, w/v). Rheological properties, static and centrifugation emulsion stabilities, and pH value of filmogenic solutions were evaluated. Results: Filmogenic solutions with lower emulsifier concentration showed increased flow resistance and non-Newtonian and pseudoplastic behavior (n<1). Central point formulation (E, F, and G) remained stable (no particle agglomeration) throughout the test period as well as pH value close to neutrality. In centrifugation stability index at 3500 rpm, only formulation C did not show phase separation. Conclusion: It was possible to develop a mixture of a filmogenic solution containing buriti oil that could be applied as an eco-friendly coating in food.

scholarly journals Cassava-Starch-Based Films Incorporated with Buriti (Mauritia flexuosa L.) Oil: A New Active and Bioactive Material for Food Packaging Applications

2022 ◽  
Vol 3 (1) ◽  
pp. 121-135
Author(s):  
Danusa Silva da Costa ◽  
Katiuchia Pereira Takeuchi ◽  
Richard Marins da Silva ◽  
Josemar Gonçalves de Oliveira Filho ◽  
Mirella Romanelli Vicente Bertolo ◽  
...  
Keyword(s):  
Food Packaging ◽  
Oil Content ◽  
Water Vapor Permeability ◽  
Cassava Starch ◽  
Carotenoid Content ◽  
Tween 20 ◽  
Vapor Permeability ◽  
Total Carotenoid Content ◽  
Mauritia Flexuosa ◽  
Buriti Oil

The objective of this study was to develop and characterize cassava-starch-based films incorporated with buriti (Mauritia flexuosa L.) oil and emulsifier (Tween 20). An experimental factorial design 22 with three central points was used to develop the films, by varying the concentrations of buriti oil (0.15 to 0.45% w/v) and emulsifier (0.02 to 0.04% w/v). Film thickness and weight increased with increasing buriti oil concentration. The water vapor permeability of the films ranged from 0.22 to 0.366 g mm h−1 m−2 kPa−1. The tensile strength values varied from 4.21 to 6.95 MPa, the elasticity modulus varied from 538.53 to 722.78 MPa, and elongation to rupture varied from 1.13 to 1.66%. The film color was characterized as yellowish, dark, and intense (higher oil content); and clear and a low-intensity color (lower oil content). The films presented a total carotenoid content ranging from 3.63 to 29.73 μg β-carotene/g, which may have resulted in their antioxidant potential against DPPH• (1,1-diphenyl-2-picryl-hydrazyl) radical (from 74.28 to 87.74%). The central formulation of the experimental design (buriti oil 0.30% and emulsifier 0.03%) presented a good performance and can be applied as packaging for foods with a lower water content and that demand protection against oxidation.

Identifying suboptimalities with factorial model comparison

2018 ◽  
Vol 41 ◽  
Author(s):  
Wei Ji Ma
Keyword(s):  
Experimental Design ◽  
Model Comparison ◽  
Process Models ◽  
Multiple Forms ◽  
Factorial Experimental Design ◽  
Factorial Model ◽  
Multiple Components ◽  
The Many

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.

Sign in / Sign up

Export Citation Format

Share Document