Evidence map›Paper›PMID 40799196›Full record

ArticleFood chemistry: X2025

Green tea-millets based multi-nutritive cookies: innovative formulation and nutritional analyses.

Kiran Dhami, Pavita Thapa, Sanjay Kumar, Prabhakar Semwal, Nishant Rai, Jigisha Anand

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. 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

6 authors.

Kiran DhamiDepartment of Microbiology, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India.
Pavita ThapaDepartment of Biotechnology, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India.
Sanjay KumarDepartment of Food Science and Technology, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India.
Prabhakar SemwalDepartment of Biotechnology, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India.
Nishant RaiDepartment of Biotechnology, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India.
Jigisha AnandDepartment of Biotechnology, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to develop a functional cookie (GC) incorporating green tea leaves, wheatgrass, pearl millet flour, and a blend of seeds (pumpkin, sunflower, flax, fennel, sesame) as a nutrient-dense alternative to conventional refined flour cookies. Three formulations (GC-1, GC-2, GC-3) were assessed for physicochemical, nutritional, antioxidant, mineral, and sensory attributes. Refined flour-based cookies (RC-1) served as the control. Among the formulations, GC-1 demonstrated superior nutritional quality with higher protein (10.55 ± 0.40 %), crude fiber (62.53 ± 0.02 %), antioxidant activity (89.48 ± 0.27 %), TFC, TPC, vitamins C and B3, PUFA, and lower cholesterol. It was also rich in zinc (25.07 mg/kg), iron (2.07 mg/100 g), and potassium (341.76 mg/100 g), while heavy metals remained below quantifiable limits. GC-1 also received the highest sensory acceptability score (9.0). The current findings support the capabilities of GC-1 as a nutritional rich functional food product, pending further clinical validation.

Indexed as

CookiesGreen teaJaggeryMilletsNutritionalWheat grass

Identifiers

PMID40799196
PMCPMC12341695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.