Evidence map›Paper›PMID 32884734›Full record

ArticleFood science & nutrition2020

Optimization of athletic pasta formulation by D-optimal mixture design.

Leila Kamali Rousta, Amir Pouya Ghandehari Yazdi, Mahdi Amini

Abstract read
In one paragraph

Article in Food science & nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Leila Kamali RoustaDepartment of Food Research and Development Zar Research and Industrial Development Group Alborz Iran.ORCID https://orcid.org/0000-0001-7848-6897
Amir Pouya Ghandehari YazdiDepartment of Food Research and Development Zar Research and Industrial Development Group Alborz Iran.ORCID https://orcid.org/0000-0002-7647-3512
Mahdi AminiDepartment of Food Research and Development Zar Research and Industrial Development Group Alborz Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to produce an athletic pasta by the addition of various sources of protein. For this purpose, D-optimal mixture design used for optimization of formulation of athletic pasta and protein with considering the hardness as main parameter. Various properties of the optimized formulation were evaluated. The optimal formulation contained 45.41% of semolina, 24% of pea protein isolate (PPI), 18% of oat flour (OF), 5% of soy protein isolate (SPI), 5% whey protein isolate (WPI), and 2% of gluten (G). In optimized formulation, the protein content increased by more than 2.9 times compared to control with the hardness in the range (569 g). Hardness, optimal cooking time, and cooking loss of products increased as the level of protein increased. The optimal formulation had a higher sensory acceptance than the control, which is probably related to color changes. Due to the amount and biological value of the proteins used and the high acceptance obtained, this formulation can be suggested for athletes. The obtained results indicated that production of athletic pasta with high biological value by using mixture of SPI, PPI, WPI, OF, and G is possible.

Indexed as

athleticD‐optimalfortificationoptimizationpasta

Identifiers

PMID32884734
PMCPMC7455935

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.