Evidence map›Paper›PMID 28845100›Full record

ArticleJournal of liquid chromatography & related technologies2017

Determination of the enantiomeric purity of epinephrine by HPLC with circular dichroism detection.

Douglas Kirkpatrick, Jingyue Yang, Michael Trehy

Open access · greenAbstract read
In one paragraph

Article in Journal of liquid chromatography & related technologies, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 33 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Douglas KirkpatrickUnited States Food and Drug Administration, CDER, Division of Pharmaceutical Analysis, St Louis, Missouri, USA.
Jingyue YangUnited States Food and Drug Administration, CDER, Division of Pharmaceutical Analysis, St Louis, Missouri, USA.
Michael TrehyUnited States Food and Drug Administration, CDER, Division of Pharmaceutical Analysis, St Louis, Missouri, USA.
United States Food and Drug Administration · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

Several hundred drug substances approved by the U.S. Food and Drug Administration are chiral molecules. For the enantiomeric purity assessment, current practice is to develop separation techniques using chiral columns or mobile phase modifiers to separate enantiomers before detection. An alternative approach is to use currently accepted HPLC assay methods and use chiral-specific detectors to confirm whether the correct enantiomer is present. In this paper, adding a circular dichroism (CD) detector to an achiral HPLC method from the US Pharmacopeia (USP) is shown to be amenable for the determination of the enantiomeric purity of epinephrine, a substance used to treat anaphylaxis. This HPLC-UV-CD approach was able to detect the inactive D-(+) enantiomer at 1% of the total epinephrine composition. The linearity, accuracy, and precision of HPLC-UV-CD were evaluated and compared to analyses using a chiral HPLC method. Additionally, an epinephrine drug product was analyzed for assay (concentration) and enantiomeric purity. The results from achiral and chiral methods were identical within the experimental error. Overall, achiral chromatography performed using a USP method with CD detection may serve as a general means of determining chiral drug enantiomer purity and avoids the need for the development of additional chiral-specific methods for each individual drug.

Indexed as

Adrenalinechiralcircular dichroismenantiomerepinephrineHPLC

Identifiers

PMID28845100
PMCPMC5568804
OpenAlexW2619399800

What OpenQuestion holds

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LicenceTDM
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.