Evidence map›Paper›PMID 25107333›Full record

ArticleBMC biochemistry2014

Comparative analysis of diosgenin in Dioscorea species and related medicinal plants by UPLC-DAD-MS.

Tao Yi, Lan-Lan Fan, Hong-Li Chen, Guo-Yuan Zhu, Hau-Man Suen, Yi-Na Tang, Lin Zhu, Chu Chu, Zhong-Zhen Zhao, Hu-Biao Chen

Open access · hybridAbstract readComparative Study
In one paragraph

Article in BMC biochemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

33 citing papers in PubMed, 94 citations in OpenAlex.

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    Review
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

10 authors at 4 institutions in 3 countries.

Tao YiSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong Special Administrative Region, PR China. yitao@hkbu.edu.hk.
Lan-Lan Fan
Hong-Li Chen
Guo-Yuan Zhu
Hau-Man Suen
Yi-Na Tang
Lin Zhu
Chu Chu
Zhong-Zhen Zhao
Hu-Biao Chen
Hong Kong Baptist University · HKGuangxi Medicinal Botanical Garden · CNMacau University of Science and Technology · MOZhejiang University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDioscorea is a genus of flowering plants, and some Dioscorea species are known and used as a source for the steroidal sapogenin diosgenin. To screen potential resource from Dioscorea species and related medicinal plants for diosgenin extraction, a rapid method to compare the contents of diosgenin in various plants is crucial.

resultsAn ultra-performance liquid chromatography (UPLC) coupled with diode array detection (DAD) and electrospray ionization mass spectrometry (ESI-MS) method was developed for identification and determination of diosgenin in various plants. A comprehensive validation of the developed method was conducted. Twenty-four batches of plant samples from four Dioscorea species, one Smilax species and two Heterosmilax species were analyzed by using the developed method.The present method presented good sensitivity, precision and accuracy. Diosgenin was found in three Dioscorea species and one Heterosmilax species, namely D. zingiberensis, D. septemloba, D. collettii and H. yunnanensis.

conclusionThe method is suitable for the screening of diosgenin resources from plants. D. zingiberensis is an important resource for diosgenin harvesting.

Indexed as

Chemistry Techniques, AnalyticalDioscoreaSmilaxChinaChromatography, High Pressure LiquidDiosgeninFeasibility StudiesHerbal MedicineHumansPlant ExtractsReproducibility of ResultsSensitivity and SpecificitySpectrometry, Mass, Electrospray IonizationUltraviolet RaysDiosgeninPlant Extracts

Identifiers

PMID25107333
PMCPMC4131487
OpenAlexW2002982238

What OpenQuestion holds

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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.