Evidence map›Paper›PMID 28324728›Full record

ArticleJournal of pharmaceutical and biomedical analysis2017

HPLC-MS/MS method for quantification of paclitaxel from keratin containing samples.

Emily A Turner, Alexandra C Stenson, Saami K Yazdani

Abstract read
In one paragraph

Article in Journal of pharmaceutical and biomedical analysis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
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  4. The Development of anFrontiers in medical technology · 2021
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  5. Review
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  7. Article
  8. Frontiers in pharmacology · 2018
    Article
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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.

Emily A TurnerDepartment of Mechanical Engineering, University of South Alabama, Mobile, AL 36688, USA.
Alexandra C StensonDepartment of Chemistry, University of South Alabama, Mobile, AL 36688, USA.
Saami K YazdaniDepartment of Mechanical Engineering, University of South Alabama, Mobile, AL 36688, USA. Electronic address: syazdani@southalabama.edu.
University of South Alabama · US

Funding

A Novel Drug Delivery System to Treat Peripheral Arterial DiseaseR15HL127596 · NHLBI · UNIVERSITY OF SOUTH ALABAMA · PI YAZDANI, SAAMI K · 2016 to 2016
$413k
NHLBI NIH HHS R15 HL127596
6 · The paper itself

Abstract

Local drug delivery of paclitaxel is becoming ever more prevalent. As complex drug/excipient combinations are being developed and tested, new high performance liquid chromatography-mass spectrometry (HPLC-MS) techniques capable of quantifying paclitaxel from such formulations are needed. Here a method for quantifying paclitaxel from aqueous, protein and oil containing samples was developed and validated. Keratin, derived from human hair, is the protein component/paclitaxel excipient in the development and validation of said method. The novelty of this method is described by its ability to overcome water solubility issues and address clean-up of residual solvents in clinical grade paclitaxel injection composition. The method evaluates tert-butyl methyl ether and ethanol as extraction solvents with an extraction efficiency of 31.9±2.3% and 86.4±4.5% respectively. Upon evaporation and rehydration, samples were evaluated by HPLC-MS and a method was developed for paclitaxel quantification. The method developed had an inter-day precision of 9.1% relative standard deviation and an intra-day precision of 4.3% relative standard deviation normalized to a docetaxel internal standard. The described method is applicable to any aqueous paclitaxel sample containing protein and/or oils.

Indexed as

Chromatography, High Pressure LiquidDrug CarriersDrug Delivery SystemsKeratinsPaclitaxelTandem Mass SpectrometryDrug CarriersKeratinsPaclitaxelKeratinKeratoseLiquid chromatographyMass spectrometryPaclitaxelProtein extraction

Identifiers

PMID28324728
PMCPMC5410662
OpenAlexW2594318788

What OpenQuestion holds

Textmetadata
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.