Evidence map›Paper›PMID 32456314›Full record

ReviewMolecules (Basel, Switzerland)2020

Polymers and Plastics Modified Electrodes for Biosensors: A Review.

Sonia Lanzalaco, Brenda G Molina

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. 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
2.4field-weighted citation impact, top 12% 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, 46 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

2 authors at 1 institution in 1 country.

Sonia LanzalacoDepartament d'Enginyeria Química, EEBE, Universitat Politècnica de Catalunya, C/ d'Eduard Maristany, 10-14, Building I, E-08019 Barcelona, Spain.ORCID 0000-0002-8604-5095
Brenda G MolinaDepartament d'Enginyeria Química, EEBE, Universitat Politècnica de Catalunya, C/ d'Eduard Maristany, 10-14, Building I, E-08019 Barcelona, Spain.ORCID 0000-0002-7723-5313
Universitat Politècnica de Catalunya · ES

Funding

Ministerio de Economía, Industria y Competitividad, Gobierno de España RTI2018-098951-B-I00 and RTI2018-101827-B-I00
6 · The paper itself

Abstract

Polymer materials offer several advantages as supports of biosensing platforms in terms of flexibility, weight, conformability, portability, cost, disposability and scope for integration. The present study reviews the field of electrochemical biosensors fabricated on modified plastics and polymers, focusing the attention, in the first part, on modified conducting polymers to improve sensitivity, selectivity, biocompatibility and mechanical properties, whereas the second part is dedicated to modified "environmentally friendly" polymers to improve the electrical properties. These ecofriendly polymers are divided into three main classes: bioplastics made from natural sources, biodegradable plastics made from traditional petrochemicals and eco/recycled plastics, which are made from recycled plastic materials rather than from raw petrochemicals. Finally, flexible and wearable lab-on-a-chip (LOC) biosensing devices, based on plastic supports, are also discussed. This review is timely due to the significant advances achieved over the last few years in the area of electrochemical biosensors based on modified polymers and aims to direct the readers to emerging trends in this field.

Indexed as

Biosensing TechniquesElectrodesBiodegradable PlasticsHumansLab-On-A-Chip DevicesPolymersBiodegradable PlasticsPolymersconducting polymersflexible electrochemical biosensorsmodified bioplasticsmodified biopolymersrecyclable plastics

Identifiers

PMID32456314
PMCPMC7287907
OpenAlexW3026183515

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.