2021
DOI: 10.3390/foods10081941
|View full text |Cite
|
Sign up to set email alerts
|

Recent Applications of Mixture Designs in Beverages, Foods, and Pharmaceutical Health: A Systematic Review and Meta-Analysis

Abstract: Design of Experiments (DoE) is a statistical tool used to plan and optimize experiments and is seen as a quality technology to achieve products excellence. Among the experimental designs (EDs), the mixture designs (MDs) stand out, being widely applied to improve conditions for processing, developing, or formulating novel products. This review aims to provide useful updated information on the capacity and diversity of MDs applications for the industry and scientific community in the areas of food, beverage, and… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
7
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 19 publications
(12 citation statements)
references
References 177 publications
(265 reference statements)
0
7
0
Order By: Relevance
“…The term ∑q i = 1β i x i represents the linear blending portion. When curvature arises from non-linear blending between component pairs, the parameters β ij , which represent either synergistic or antagonistic blending, will be different from zero [ 26 ].…”
Section: Methodsmentioning
confidence: 99%
“…The term ∑q i = 1β i x i represents the linear blending portion. When curvature arises from non-linear blending between component pairs, the parameters β ij , which represent either synergistic or antagonistic blending, will be different from zero [ 26 ].…”
Section: Methodsmentioning
confidence: 99%
“…The term ∑q i = 1β i x i represents the linear blending portion. When curvature arises from non-linear blending between component pairs, the parameters βij, which represent either synergistic or antagonistic blending, will be different from zero [ 29 ].…”
Section: Methodsmentioning
confidence: 99%
“…Mixture design is a common statistical method used to investigate the function of ingredients in processed food with the aim of optimizing their formulation [ 20 ]. Mixture design methods based on mathematical models, aimed to link consumers’ preferences with product formulation, can contribute to the development of digital tools for food product design [ 21 ].…”
Section: Introductionmentioning
confidence: 99%