Evidence map›Paper›PMID 22189629›Full record

ReviewAnalytical and bioanalytical chemistry2012

Microcantilevers and organic transistors: two promising classes of label-free biosensing devices which can be integrated in electronic circuits.

Serafina Cotrone, Damiana Cafagna, Stefania Cometa, Elvira De Giglio, Maria Magliulo, Luisa Torsi, Luigia Sabbatini

Erratum issuedAbstract readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors.

Serafina CotroneDepartment of Chemistry, University of Bari, 70126 Bari, Italy.
Damiana Cafagna
Stefania Cometa
Elvira De Giglio
Maria Magliulo
Luisa Torsi
Luigia Sabbatini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most of the success of electronic devices fabricated to actively interact with a biological environment relies on the proper choice of materials and efficient engineering of surfaces and interfaces. Organic materials have proved to be among the best candidates for this aim owing to many properties, such as the synthesis tunability, processing, softness and self-assembling ability, which allow them to form surfaces that are compatible with biological tissues. This review reports some research results obtained in the development of devices which exploit organic materials' properties in order to detect biologically significant molecules as well as to trigger/capture signals from the biological environment. Among the many investigated sensing devices, organic field-effect transistors (OFETs), organic electrochemical transistors (OECTs) and microcantilevers (MCLs) have been chosen. The main factors motivating this choice are their label-free detection approach, which is particularly important when addressing complex biological processes, as well as the possibility to integrate them in an electronic circuit. Particular attention is paid to the design and realization of biocompatible surfaces which can be employed in the recognition of pertinent molecules as well as to the research of new materials, both natural and inspired by nature, as a first approach to environmentally friendly electronics.

Indexed as

Biocompatible MaterialsTransistors, ElectronicBiosensing TechniquesElectrochemistryMicro-Electrical-Mechanical SystemsOrganic Chemistry PhenomenaBiocompatible Materials

Identifiers

PMID22189629
PMCPMC7079887

What OpenQuestion holds

Textmetadata
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.