Evidence map›Paper›PMID 38877859›Full record

ReviewCombinatorial chemistry & high throughput screening2025

Recent Advancements in the Analyses of Natural Products.

Sinem Aslan Erdem, Aysegul Dogan, Sevinc Kurbanoglu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Combinatorial chemistry & high throughput screening, 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

3 authors.

Sinem Aslan ErdemAnkara University, Faculty of Pharmacy, Department of Pharmacognosy, 06560, Tandogan, Ankara, Türkiye.ORCID 0000-0003-1504-1916
Aysegul DoganHacettepe University, Faculty of Pharmacy, Department of Analytical Chemistry, 06100, Sihhiye, Ankara, Türkiye.ORCID 0000-0002-5828-4697
Sevinc KurbanogluAnkara University, Faculty of Pharmacy, Department of Analytical Chemistry, 06560, Tandogan, Ankara, Türkiye.ORCID 0000-0002-7079-7604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since ancient times, medicinal plants and their active ingredients have played a key role in treating a wide array of ailments. Notably, in recent years, there has been a burgeoning interest in treatments using products derived from natural sources, and some have been studied as clinical treatments for a variety of disorders. The use of natural products to treat illness has gained increasing scientific and public interest. Not only to ensure quality control but also to verify their efficacy as active ingredients in various pharmaceutical formulations, the evaluation of natural products is of paramount importance. In this field, analytical methods like spectroscopy, electrophoresis, and chromatography are essential and are constantly being improved upon. Chromatographic techniques are essential for determining the quality and authenticity of natural products. Moreover, strict adherence to internationally recognized norms in validating analytical procedures guarantees the accuracy and dependability of results. Continual research initiatives are essential for tackling issues like adulteration and enhancing customer trust in natural products. This review navigates through the complex field of quality control methodologies and analytical techniques applied in evaluating plant-derived sources, which are generally used as natural products, and focuses on the analysis of

Indexed as

Biological ProductsCannabisCurcumaHumansHypericumPlants, MedicinalQuality ControlBiological Productschromatography.herbal medicinal productsnatural productsPharmaceutical analysesphytochemical analysis

Identifiers

What OpenQuestion holds

Textmetadata
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.