Evidence map›Paper›PMID 42255626›Full record

ArticleACS omega2026

Comparative Evaluation of Oven, Microwave, and Air-Fry Roasting on Physical Attributes, Bioactive Components, and Volatile Compounds of Rosemary- and Thyme-Coated Mung Bean

Ahsen Rayman Ergun, Kadriye Altay, Yunus Çetintaş, Yeliz Tekgül Barut

Abstract read
In one paragraph

Article in ACS omega, 2026. 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

4 authors.

Ahsen Rayman ErgunEge University, Faculty of Engineering, Food Engineering Department, İzmir 35040, Turkiye.ORCID https://orcid.org/0000-0003-0943-1950
Kadriye AltayMinistry of Agriculture and Forestry, Olive Research Institute, Izmir 35100, Turkiye.
Yunus ÇetintaşFood Analysis Application and Research Center, Research Laboratories Center, Mugla Sitki Kocman University, Muğla 48000, Türkiye.ORCID https://orcid.org/0000-0001-6707-6112
Yeliz Tekgül BarutFood Processing Department, Kosk Vocational School, Adnan Menderes University, Aydın 09100, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing demand for plant-based proteins has intensified interest in alternative legume sources with high nutritional and functional value. Mung bean is a promising protein source; however, limited information is available about the effects of edible coatings and different roasting methods on its quality characteristics. This study investigated the impact of rosemary- and thyme-based coatings combined with oven, microwave, and air-fry roasting on the physicochemical, bioactive, and volatile properties of a high-protein mung bean snack. Rosemary and thyme were chosen as edible coatings because of their well-documented antioxidant and aroma-enhancing properties, making them suitable for improving the functional and sensory quality of legume-based snacks. Coated mung beans were roasted using oven (200 °C, 20 min), microwave (600 W, 8 min), and air-fry (200 °C, 13 min) methods, with the final moisture content maintained below 6%. Moisture, ash, protein, total phenolic and flavonoid contents, antioxidant activity, color parameters, and volatile compounds were evaluated. Air-fried samples exhibited higher phenolic, flavonoid, and antioxidant contents than those of oven- and microwave-roasted samples. Especially, in the rosemary-microwave sample group, the phenolic content was found to be 1447.0 ± 20.02 mg GAE/100 g DM. The highest protein content (25.96%) was observed in the air-fried rosemary-coated samples. Lightness decreased after roasting, while

Identifiers

PMID42255626
PMCPMC13234780

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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.