Evidence map›Paper›PMID 32998393›Full record

ReviewMembranes2020

Unintended Changes of Ion-Selective Membranes Composition-Origin and Effect on Analytical Performance.

Krzysztof Maksymiuk, Emilia Stelmach, Agata Michalska

Open access · goldAbstract readReview
In one paragraph

Review in Membranes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 49 citations in OpenAlex.

  1. Design, Construction, and Application of Implantable Fiber Biosensors.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
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  8. Utilization of a TiOPolymers · 2023
    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.

Krzysztof MaksymiukFaculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland.ORCID 0000-0002-3931-3798
Emilia StelmachFaculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland.
Agata MichalskaFaculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland.ORCID 0000-0002-8509-1428
University of Warsaw · PL

Funding

Narodowe Centrum Nauki 2018/31/B/ST5/02687
6 · The paper itself

Abstract

Ion-selective membranes, as used in potentiometric sensors, are mixtures of a few important constituents in a carefully balanced proportion. The changes of composition of the ion-selective membrane, both qualitative and quantitative, affect the analytical performance of sensors. Different constructions and materials applied to improve sensors result in specific conditions of membrane formation, in consequence, potentially can result in uncontrolled modification of the membrane composition. Clearly, these effects need to be considered, especially if preparation of miniaturized, potentially disposable internal-solution free sensors is considered. Furthermore, membrane composition changes can occur during the normal operation of sensors-accumulation of species as well as release need to be taken into account, regardless of the construction of sensors used. Issues related to spontaneous changes of membrane composition that can occur during sensor construction, pre-treatment and their operation, seem to be underestimated in the subject literature. The aim of this work is to summarize available data related to potentiometric sensors and highlight the effects that can potentially be important also for other sensors using ion-selective membranes, e.g., optodes or voltammetric sensors.

Indexed as

all-solid-state sensorscomponents leakageincorporationion-selective membranes

Identifiers

PMID32998393
PMCPMC7601616
OpenAlexW3090314369

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.