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Record W7118189150 · doi:10.18280/ijdne.201121

Freeze-Dried Chinese Chives (Allium odorum) Powder as a Novel Functional Ingredient: Impacts on Quality and Shelf-Life of Dairy and Oil-Based Products

2025· article· W7118189150 on OpenAlexvenueno aff
Dinara Tlevlessova, Dina Dautkanova, Zhibek Ussembayeva, Saltanat Mussayeva, Akmaral Mateyeva

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicFood Quality and Safety Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuality (philosophy)Milk productsProduct (mathematics)Dairy industry

Abstract

fetched live from OpenAlex

This study examined how the addition of stabilised Chinese chives powder affects the quality, biochemical parameters, and shelf life of various types of functional products, showing that the lyophilised form of Allium odorum provides the greatest preservation of biologically active components and technological stability, as the content of chlorophylls a and b in the lyophilisate reached higher value (12.6 0.3 mg/g) with fewer losses (14%) compared to vacuum drying.Microbiological control was performed by sowing on nutrient media, which was also greater: the total number of mesophilic aerobic and facultative anaerobic microorganisms after 60 days did not exceed 1.3 10 2 CFU/g.Thus, based on comprehensive laboratory and sensory tests, freeze-drying was recognised as the most suitable method for stabilising Allium odorum for the creation of functional products.The practical value of this study lies in the substantiation of effective dosages and technological solutions for the introduction of Chinese chives into the food industry, which can be used in the creation of enriched products with proven biological activity, stability, and a prominent level of consumer acceptance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.293
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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