Evidence map›Paper›PMID 35492138›Full record

ArticleRSC advances2020

API ionic liquids: probing the effect of counterion structure on physical form and lipid solubility.

Leigh Ford, Erin Tay, Tri-Hung Nguyen, Hywel D Williams, Hassan Benameur, Peter J Scammells, Christopher J H Porter

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2020. 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
0.7field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 26 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

7 authors at 2 institutions in 4 countries.

Leigh FordOral Drug Delivery Innovation, Chemical Division, Lonza Pharma Biotech & Nutrition Melbourne Australia.ORCID https://orcid.org/0000-0002-2729-9597
Erin TayMedicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Monash University 381 Royal Parade Parkville Victoria 3052 Australia.
Tri-Hung NguyenOral Drug Delivery Innovation, Chemical Division, Lonza Pharma Biotech & Nutrition Strasbourg France.
Hywel D WilliamsOral Drug Delivery Innovation, Chemical Division, Lonza Pharma Biotech & Nutrition Melbourne Australia.
Hassan BenameurOral Drug Delivery Innovation, Chemical Division, Lonza Pharma Biotech & Nutrition Strasbourg France.
Peter J ScammellsMedicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Monash University 381 Royal Parade Parkville Victoria 3052 Australia.
Christopher J H PorterDrug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University 381 Royal Parade Parkville Victoria 3052 Australia.
NOAA Chemical Sciences Laboratory · USAustralian Regenerative Medicine Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid based formulations (LBFs) are extensively utilised as an enabling technology in drug delivery. The use of ionic liquids (ILs) or lipophilic salts (LS) in drug delivery has also garnered considerable interest due to unique solubility properties. Conversion of active pharmaceutical ingredients (API) to ILs by pairing with an appropriately lipophilic counterion has been shown to decrease melting point of the salt complex and improve solubility in LBFs. However, the relationship between the structure of the counterion, the physicochemical properties of the resulting salts and solubility in LBFs has not been systematically explored. This study investigates the relationship between alkyl sulfate counterion structure and melting temperature (

Identifiers

PMID35492138
PMCPMC9051119
OpenAlexW3015060082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.