Evidence map›Paper›PMID 42540224›Full record

ArticleACS omega2026

Geographical Classification of Okra (

Modupe A Raphael, Nontawat Sricharoen, Kanet Wongravee, Thanit Praneenararat

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. 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

4 authors.

Modupe A RaphaelDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Rd., Pathumwan, Bangkok 10330, Thailand.
Nontawat SricharoenDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Rd., Pathumwan, Bangkok 10330, Thailand.
Kanet WongraveeDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Rd., Pathumwan, Bangkok 10330, Thailand.
Thanit PraneenararatDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Rd., Pathumwan, Bangkok 10330, Thailand.ORCID https://orcid.org/0000-0001-9165-2642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Okra is a widely consumed vegetable known for its medicinal properties due to its abundance of flavonoids. This has fueled the demand for okra and made it an economically important vegetable in the global market. However, despite the increasing demand for okra, its market value remains low. To overcome this problem, geographical indication (GI)an intellectual property linking a product's unique characteristics to its geographical origincan be an effective tool to sustainably increase the value of okra. Therefore, this study aimed to classify okra based on its geographical origin by means of chemometric analysis on flavonoid profiles. First, sample preparation was optimized with greenness in mind, yielding a total flavonoid content of 9.25 mg QE/g, compared to 6.21 mg QE/g obtained using the conventional method, while also providing a better greenness character as evaluated by the AGREE tool. Thereafter, the extracts from various okra samples were analyzed on high-performance liquid chromatography with a diode array detector (HPLC-DAD) and liquid chromatography-mass spectrometry (LC-MS) for their flavonoid profiles, including quercetin and catechin derivatives. The resulting data were then subjected to principal component analysis (PCA) and linear discriminant analysis (LDA), where PCA clearly revealed variations and features in the data, and a high overall classification and prediction accuracy was observed in LDA (80-100%) in all substudies (countries of origin, geographical origins within Thailand, and one-versus-all classification). Overall, this study highlights the utility of the developed tool as a stepping stone for the sustainable promotion of local agricultural products.

Identifiers

PMID42540224
PMCPMC13425476

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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.