Evidence map›Paper›PMID 40511336›Full record

ArticleFood chemistry: X2025

Novel approach for development and optimization of microgreens-based functional dairy beverage: Antioxidant enhancement, consumer acceptability, and kinetic shelf-life modeling.

Mahendra Gunjal, Atul Khalangre, Jyoti Singh, Sezai Ercisli, Prasad Rasane

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Mahendra GunjalDepartment of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, Punjab, India.
Atul KhalangreInterdepartmental Centre for Agri-Food Industrial Research, Alma mater Studiorum, University of Bologna, Via Q. Bucci 336, 47522 Cesena, (FC), Italy.
Jyoti SinghDepartment of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, Punjab, India.
Sezai ErcisliDepartment of Horticulture, Erzurum, Ataturk University, Turkey.
Prasad RasaneDepartment of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study optimizes a microgreens-based dairy (lassi) beverage using response surface methodology to enhance antioxidant composition, sensory attributes, and shelf stability. The ideal formulation (9.189 % microgreen juice, 60 % dahi, and 15.311 % water) achieved a desirability score of 0.781, significantly improving bioactive compounds. The optimized lassi contained phenolics (44.14 mg GAE/100 g), flavonoids (22.62 mg QUE/100 g), anthocyanins (37.91 μmol/100 g), and ascorbic acid (59.32 mg/100 g), with an acceptability rating of 8.29. Kinetic modeling assessed bioactive stability under varying storage conditions, with the highest retention at 5 °C after 15-days. Temperature-dependent degradation rates were analyzed using the Arrhenius, Eyring, and Ball models, while shelf-life prediction was based on a zero-order reaction model combined with the Arrhenius equation. The estimated shelf life at 5 °C based on microbial load was 9.33 days (t

Indexed as

AntioxidantDairy beverageDegradation kineticsFunctional foodsMicrogreensShelf lifeTemperature

Identifiers

PMID40511336
PMCPMC12159483

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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.