Evidence map›Paper›PMID 37238836›Full record

ArticleFoods (Basel, Switzerland)2023

A New Approach for the Development and Optimization of Gluten-Free Noodles Using Flours from Byproducts of Cold-Pressed Okra and Pumpkin Seeds.

Ebru Aydin, Sebahattin Serhat Turgut, Sedef Aydin, Serife Cevik, Ayse Ozcelik, Mehmet Aksu, Muhammed Mustafa Ozcelik, Gulcan Ozkan

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Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

8 authors.

Ebru AydinDepartment of Food Engineering, Faculty of Engineering, Suleyman Demirel University, 32200 Isparta, Turkey.ORCID 0000-0002-5625-040X
Sebahattin Serhat TurgutDepartment of Food Engineering, Faculty of Engineering, Suleyman Demirel University, 32200 Isparta, Turkey.ORCID 0000-0002-9968-4750
Sedef AydinDepartment of Food Engineering, Faculty of Engineering, Suleyman Demirel University, 32200 Isparta, Turkey.
Serife CevikDepartment of Food Processing, Gelendost Vocational High School, Isparta University of Applied Sciences, 32900 Isparta, Turkey.
Ayse OzcelikDepartment of Food Engineering, Faculty of Engineering, Suleyman Demirel University, 32200 Isparta, Turkey.
Mehmet AksuDepartment of Food Engineering, Faculty of Engineering, Suleyman Demirel University, 32200 Isparta, Turkey.ORCID 0000-0002-4211-0078
Muhammed Mustafa OzcelikDepartment of Food Engineering, Faculty of Engineering, Suleyman Demirel University, 32200 Isparta, Turkey.ORCID 0000-0002-1933-1737
Gulcan OzkanDepartment of Food Engineering, Faculty of Engineering, Suleyman Demirel University, 32200 Isparta, Turkey.ORCID 0000-0002-3333-7537

Funding

Suleyman Demirel University Scientific Research Projects Unit FBY-2018-6027
6 · The paper itself

Abstract

The significant protein and dietary fiber content of cold-pressed pumpkin (PSF) and okra (OSF) seed byproducts are well-known. However, their impact on noodles' nutritional quality has never been studied. For the first time, noodle formulation was developed employing a genetic algorithm in the R programming language to achieve the most optimal sensory attributes as well as nutritional composition, color, cooking, and textural properties. The optimized noodle formulation was detected for OSF, PSF, gluten-free flour, salt, and egg with the following amounts: 11.5 g, 87.0 g, 0.9 g, 0.6 g, and 40 g, respectively, with 10.5 mL of water. The total protein (TP%), total fat (TF%), total carbohydrate (TC%), total dietary fiber content (TDF%), ash (%), total phenolic content (TPC mg GAE/100 g), and ABTS (%) of PSF were found to be 39%, 17%, 7%, 18%, 3%, 19%, and 48%, respectively, whereas for OSF, 33%, 8%, 21%, 32%, 5%, 16%, and 38%, respectively, were detected. In addition, TP (42.88%), TF (15.6%), ash (5.68%), TDF (40.48%), TPC (25.5 mg GAE/100 g), and ABTS (70%) values were obtained for the noodles. Consequently, the valorization of the cold oil press industry's byproducts may be used as ingredients that add high value to gluten-free protein and fiber-rich noodle production, and they may gain interest from both processors and consumers.

Indexed as

noodleokraoptimization with Rpumpkinseedvalorization

Identifiers

PMID37238836
PMCPMC10216911

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