Evidence map›Paper›PMID 38719900›Full record

ArticleScientific reports2024

Phytochemical investigation of the n-hexane-extracted oil from four umbelliferous vegetables using GC/MS analysis in the context of antibacterial activity.

Mostafa H Baky, Eman M El-Taher, Dina M Y El Naggar, Mostafa B Abouelela

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Mostafa H BakyPharmacognosy Department, Faculty of Pharmacy, Egyptian Russian University, Badr City, 11829, Cairo, Egypt. dr_mostafa1984@yahoo.com.
Eman M El-TaherPharmacognosy Department, Faculty of Pharmacy, Egyptian Russian University, Badr City, 11829, Cairo, Egypt.
Dina M Y El NaggarPharmacognosy Department, Faculty of Pharmacy for Girls, Al Azhar University, Cairo, Egypt.
Mostafa B AbouelelaPharmacognosy Department, Faculty of Pharmacy, Egyptian Russian University, Badr City, 11829, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Umbelliferous (Apiaceae) vegetables are widely consumed worldwide for their nutritive and health benefits. The main goal of the current study is to explore the compositional heterogeneity in four dried umbelliferous vegetables viz, celery, coriander, dill, and parsley targeting their volatile profile using gas chromatography-mass spectrometry (GC-MS). A total of 133 volatile metabolites were detected belonging to 12 classes. Aromatic hydrocarbons were detected as the major components of the analyzed vegetables accounting ca. 64.0, 62.4, 59.5, and 47.8% in parsley, dill, celery, and coriander, respectively. Aliphatic hydrocarbons were detected at ca. 6.39, 8.21, 6.16, and 6.79% in parsley, dill, celery, and coriander, respectively. Polyunsaturated fatty acids (PUFA) of various health benefits were detected in parsley and represented by roughanic acid and α-linolenic acid at 4.99 and 0.47%, respectively. Myristicin and frambinone were detected only in parsley at 0.45 and 0.56%. Investigation of antibacterial activity of umbelliferous vegetables n-hexane extract revealed a moderate antibacterial activity against Gram-positive and Gram-negative bacteria with higher activity for celery and dill against Staphylococcus aureus with inhibition zone 20.3 mm compared to 24.3 mm of the standard antibacterial drug.

Indexed as

Anti-Bacterial AgentsGas Chromatography-Mass SpectrometryHexanesPhytochemicalsVegetablesAllylbenzene Derivativesalpha-Linolenic AcidApiaceaeDioxolanesFatty Acids, UnsaturatedMicrobial Sensitivity TestsOils, VolatilePlant ExtractsPlant OilsStaphylococcus aureusAllylbenzene Derivativesalpha-Linolenic AcidAnti-Bacterial AgentsDioxolanesFatty Acids, UnsaturatedHexanesmyristicinn-hexaneOils, VolatilePhytochemicalsPlant ExtractsPlant OilsAntibacterial agentApiaceaeAromatic hydrocarbonsGC–MSVolatiles

Identifiers

PMID38719900
PMCPMC11079057

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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.