Evidence map›Paper›PMID 42737293›Full record

ArticleFoods (Basel, Switzerland)2026

Effect of the Ratio of Soy, Pea, and Wheat Proteins on the Sensory and Textural Properties of a Minced Plant-Based Meat Analogue for Patty Applications.

Linara Murat, Daulet Aitmukhanbetov, Bakhyt Shaimenova, Amirsana Kiykbay, Dina Khamitova, Alexandr Borovskiy, Sayagul Tazhina, Gaukhar Akshorayeva, Indira Temirova, Gulnazym Ospankulova

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Linara MuratDepartment of Food Technology and Processing Products, Technical Faculty, Saken Seifullin Kazakh Agrotechnical University, Zhenis Avenue, 62, Astana 010000, Kazakhstan.
Daulet AitmukhanbetovDepartment of Food Technology and Processing Products, Technical Faculty, Saken Seifullin Kazakh Agrotechnical University, Zhenis Avenue, 62, Astana 010000, Kazakhstan.ORCID 0000-0002-8178-3080
Bakhyt ShaimenovaDepartment of Food Technology and Processing Products, Technical Faculty, Saken Seifullin Kazakh Agrotechnical University, Zhenis Avenue, 62, Astana 010000, Kazakhstan.ORCID 0000-0001-5472-036X
Amirsana KiykbayDepartment of Food Technology and Processing Products, Technical Faculty, Saken Seifullin Kazakh Agrotechnical University, Zhenis Avenue, 62, Astana 010000, Kazakhstan.ORCID 0009-0008-8866-582X
Dina KhamitovaDepartment of Food Technology and Processing Products, Technical Faculty, Saken Seifullin Kazakh Agrotechnical University, Zhenis Avenue, 62, Astana 010000, Kazakhstan.
Alexandr BorovskiyDepartment of Food Technology and Processing Products, Technical Faculty, Saken Seifullin Kazakh Agrotechnical University, Zhenis Avenue, 62, Astana 010000, Kazakhstan.
Sayagul TazhinaDepartment of Food Technology and Processing Products, Technical Faculty, Saken Seifullin Kazakh Agrotechnical University, Zhenis Avenue, 62, Astana 010000, Kazakhstan.ORCID 0009-0000-2861-9735
Gaukhar AkshorayevaDepartment of Food Technology and Processing Products, Technical Faculty, Saken Seifullin Kazakh Agrotechnical University, Zhenis Avenue, 62, Astana 010000, Kazakhstan.ORCID 0000-0003-4758-7059
Indira TemirovaDepartment of Food Technology and Processing Products, Technical Faculty, Saken Seifullin Kazakh Agrotechnical University, Zhenis Avenue, 62, Astana 010000, Kazakhstan.ORCID 0000-0002-9717-3236
Gulnazym OspankulovaDepartment of Food Technology and Processing Products, Technical Faculty, Saken Seifullin Kazakh Agrotechnical University, Zhenis Avenue, 62, Astana 010000, Kazakhstan.ORCID 0000-0002-6043-4658

Funding

Ministry of Agriculture of the Republic of Kazakhstan No. BR22883587 "Improvement and Development of Deep Processing Technologies for Agricultural Raw Materials to Strengthen Food Security of the Republic of Kazakhstan".
6 · The paper itself

Abstract

The development of plant-based meat analogues with defined physicochemical, textural, techno-functional, and sensory properties is relevant amid the growing demand for sustainable protein sources. This study aimed to develop and mathematically model a plant-based meat analogue based on textured soy, pea, and wheat proteins in a minced meat form. Seven models of minced meat mixtures were prepared with the help of Mixture Design module of the Minitab program. Extreme Vertices was selected as the Type of Design and three types of textured vegetable protein were chosen as the variable components. Physicochemical indicators; techno-functional properties, including water absorption capacity, water absorption index, and oil absorption capacity; texture profile parameters; and sensory attributes were determined. Protein content ranged from 18.42 to 21.29% and caloric value from 181.11 to 184.02 kcal/100 g. All models of minced plant-based meat analogue formulations showed high techno-functional indicators. Texture profile analysis revealed differences between raw samples, whereas after cooking their textural characteristics approached those of the cooked beef control. Sensory evaluation showed that the best characteristics were obtained in formulations containing all three plant proteins, with predominance of soy and pea components. Mixture regression analysis and response surface optimization were used to evaluate protein effects and identify the optimal ratio in the Mixture Design module of the Minitab program. The composite sensory index and the hardness of the raw minced mixtures were used as the two responses. The composite sensory index was maximized while hardness was set to a target value of 4 N, corresponding to that of raw beef mince. Optimization determined the optimal textured protein mass fraction ratio: textured soy protein (0.598): textured pea protein (0.250): textured wheat gluten (0.152). These results can support further modelling of plant-based meat analogue formulations with improved sensory and textural properties.

Indexed as

minced meatPBMAsensory analysistextured pea proteintextured soy proteintextured vegetable proteintextured wheattexture profile analysis

Identifiers

PMID42737293
PMCPMC13565730

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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.