Evidence map›Paper›PMID 41976188›Full record

ArticleMolecules (Basel, Switzerland)2026

Development of Technology for Obtaining Extracts from Powdered Herbs and Their Use in Culinary Products and Dishes.

Gulzhan Zhumaliyeva, Urishbay Chomanov, Gulmira Kenenbay, Assem Boribay, Togzhan Zhomartkyzy

Abstract read
In one paragraph

Article in Molecules (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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

5 authors.

Gulzhan ZhumaliyevaLPP Kazakh Research Institute of Processing and Food Industry, Almaty 050010, Kazakhstan.
Urishbay ChomanovLPP Kazakh Research Institute of Processing and Food Industry, Almaty 050010, Kazakhstan.
Gulmira KenenbayLPP Kazakh Research Institute of Processing and Food Industry, Almaty 050010, Kazakhstan.
Assem BoribayLPP Kazakh Research Institute of Processing and Food Industry, Almaty 050010, Kazakhstan.
Togzhan ZhomartkyzyLPP Kazakh Research Institute of Processing and Food Industry, Almaty 050010, Kazakhstan.ORCID 0009-0007-3555-3982

Funding

Almaty Branch of LLP "Kazakh Research Institute of Processing and Food Industry" IRN BR24993031
6 · The paper itself

Abstract

This study aimed to determine the optimal drying, grinding, and extraction conditions for red sweet pepper, garlic, parsley, and celery to obtain concentrated extracts rich in bioactive compounds. Drying was performed using infrared ovens (FD-48 and Basic Station 3) at 30, 45, and 55 °C. The optimal temperature was 45 °C, ensuring effective moisture removal while preserving functional components. Grinding efficiency was compared between an IKA A 11 Basic analytical mill and a Pulverisette 0 vibratory micromill; the analytical mill demonstrated superior performance and processing speed. Soxhlet extraction with 96% ethanol enabled the preservation of flavor, aroma, and functional properties of the extracts. The influence of the herbal extract mixture on the organoleptic, physicochemical, and microbiological characteristics of culinary products was evaluated. For sauces, the optimal extract concentration was 5%, providing balanced taste, pleasant aroma, stable consistency, and intense color. Physicochemical analysis showed increases in protein (3.24-3.68%), ash (2.52-2.68%), dry matter (25.27-26.94%), and pH (4.11-4.24). Microbiological indicators (TAMC-3.0 × 10

Indexed as

Plant ExtractsGarlicPlant Extractsaromatic herbsbioactive compoundsextract production technologyfunctional foodsinfrared dryingplant extractssoxhlet extraction

Identifiers

PMID41976188
PMCPMC13074593

What OpenQuestion holds

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Registered trials

None linked

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.