Evidence map›Paper›PMID 40170678›Full record

ArticleFrontiers in nutrition2025

Impact of bio-processing treatments on the nutritional and anti-diabetic enzyme inhibitory properties of black wheat, barnyard millet, and black soybean.

Krati Goel, Archana Kushwaha, Anuradha Dutta, Satish Kumar Sharma, Navin Chandra Shahi, Dinesh Chandra Joshi, Anuradha Bhartiya, Pranshi Gupta

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In one paragraph

Article in Frontiers in nutrition, 2025. 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
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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

8 authors.

Krati GoelDepartment of Food and Nutrition, College of Community Science, G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Archana KushwahaDepartment of Food and Nutrition, College of Community Science, G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Anuradha DuttaDepartment of Food and Nutrition, College of Community Science, G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Satish Kumar SharmaDepartment of Food Science and Technology, College of Agriculture, G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Navin Chandra ShahiDepartment of Processing and Food Engineering, MCAET, Acharya Narendra Dev University of Agriculture and Technology, Ayodhya, Uttar Pradesh, India.
Dinesh Chandra JoshiDivision of Crop Improvement, ICAR-VPKAS, Almora, Uttarakhand, India.
Anuradha BhartiyaDivision of Crop Improvement, ICAR-VPKAS, Almora, Uttarakhand, India.
Pranshi GuptaDepartment of Food and Nutrition, College of Community Science, G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The present study assessed the impact of different bio-processing treatments on the Method: Nutritional analysis of grains was done using standard AOAC methods and Results: Nutritional analysis of the grains revealed significant differences in various parameters. BS having higher levels of moisture, ash, crude protein, crude fat, and physiological energy value compared to BM and BW. Optimization of soaking (0-24 h) and germination (0-72 h) times showed significant improvements in Conclusion: These findings highlighted the potential benefits of incorporating BW, BM, and BS into the diet for enhanced nutrient intake and better management of hyperglycemia considering the GI and inhibitory activity of

Indexed as

diabetesenzyme inhibitory activitygerminationglycemic indexprotein digestibilitysoaking

Identifiers

PMID40170678
PMCPMC11958230

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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.