efficiency assessment of flash profiling and ranking descriptive analysis: a comparative study with star fruit-powdered flavored drink
Clicks: 278
ID: 146884
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
278 views
59 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #50 of 124 articles by views in software - practice and experience
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 124 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract The objective of this study was to assess the efficiency of Flash Profiling (FP) and Ranking Descriptive Analysis (RDA) methods regarding sensory characterization using star fruit-flavored drink as matrix. Sample A was used as a standard. Other three samples were prepared based on sample A, by adding sugar, citric acid, carboxymethylcellulose or dye. The same panel (twelve assessors) was used to carry out FP and, subsequently, RDA analysis. The qualitative training stage used in RDA method showed no difference regarding the assessors’ performance and panel consensus compared to FP. Both methods were efficient and discriminated samples in a similar way and in agreement with the physicochemical characterization. However, astringent and bitter aftertaste attributes were additionally used in sample description by RDA. The latter attribute was also relevant for samples discrimination in RDA. FP application was simpler and faster, mainly regarding time spent by the assessors; however, RDA provided more comprehensive description of samples.
| Reference Key |
mamede2016foodefficiency
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Maria Eugênia de Oliveira MAMEDE;Marta de Toledo BENASSI |
| Journal | software - practice and experience |
| Year | 2016 |
| DOI |
10.1590/1678-457X.0003
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.