Evidence map›Paper›PMID 35146546›Full record

ArticleAnalytical and bioanalytical chemistry2022

Investigating the effect of polarity of stationary and mobile phases on retention of cannabinoids in normal phase liquid chromatography.

Chiara De Luca, Alessandro Buratti, Yannick Krauke, Svea Stephan, Kate Monks, Virginia Brighenti, Federica Pellati, Alberto Cavazzini, Martina Catani, Simona Felletti

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Chiara De LucaDepartment of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, via L. Borsari 46, 44121, Ferrara, Italy.
Alessandro BurattiDepartment of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, via L. Borsari 46, 44121, Ferrara, Italy.
Yannick KraukeKNAUER Wissenschaftliche Geräte GmbH, Hegauer Weg 38, 14163, Berlin, Germany.
Svea StephanKNAUER Wissenschaftliche Geräte GmbH, Hegauer Weg 38, 14163, Berlin, Germany.
Kate MonksKNAUER Wissenschaftliche Geräte GmbH, Hegauer Weg 38, 14163, Berlin, Germany.
Virginia BrighentiDepartment of Life Sciences, University of Modena and Reggio Emilia, Via G. Campi 103, Modena, 41125, Italy.
Federica PellatiDepartment of Life Sciences, University of Modena and Reggio Emilia, Via G. Campi 103, Modena, 41125, Italy.
Alberto CavazziniDepartment of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, via L. Borsari 46, 44121, Ferrara, Italy.
Martina CataniDepartment of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, via L. Borsari 46, 44121, Ferrara, Italy. ctnmtn@unife.it.
Simona FellettiDepartment of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, via L. Borsari 46, 44121, Ferrara, Italy. simona.felletti@unife.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work reports about a screening of four adsorbents with different polarity employed for the separation of the main phytocannabinoids contained in Cannabis sativa L., under normal phase liquid chromatography (NPLC). The effect of polarity and type of interaction mechanisms of the adsorbents (namely Si-, CN-, Diol-, and NH

Indexed as

CannabinoidsCannabisAlcoholsChromatography, High Pressure LiquidChromatography, LiquidSolventsAlcoholsCannabinoidsSolventsCannabinoidsCannabis sativa L.HempHPLCNormal phasePolar-bonded phases

Identifiers

PMID35146546
PMCPMC9242945

What OpenQuestion holds

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LicenceCC BY
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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.