Evidence map›Paper›PMID 33052643›Full record

ArticleACS nano2020

New Frontiers for Selective Biosensing with Biomembrane-Based Organic Transistors.

Claudia Lubrano, Giovanni Maria Matrone, Gennaro Iaconis, Francesca Santoro

Open access · hybridAbstract read
In one paragraph

Article in ACS nano, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. [Molecular imprinting strategies and advances targeting biomembranes].Se pu = Chinese journal of chromatography · 2026
    Review
  4. Article
  5. Article
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  7. Emerging Designs and Applications for Biomembrane Biosensors.Annual review of analytical chemistry (Palo Alto, Calif.) · 2024
    Review
  8. Article
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  15. Rapid diagnosis of COVID-19RSC advances · 2022
    Review
  16. Article
  17. Review
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

4 authors at 2 institutions in 2 countries.

Claudia LubranoTissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy.
Giovanni Maria MatroneTissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy.
Gennaro IaconisDepartment of Medicine, University of Cambridge, Cambridge CB2 1TN, United Kingdom.
Francesca SantoroTissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy.ORCID 0000-0001-7323-9504
Italian Institute of Technology · ITUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensing plays vital roles in multiple fields, including healthcare monitoring, drug screening, disease diagnosis, and environmental pollution control. In recent years, transistor-based devices have been considered to be valid platforms for fast, low-cost sensing of diverse analytes. Without additional functionalization, however, these devices lack selectivity; several strategies have been developed for the direct immobilization of bioreceptors on the transistor surface to improve detection capabilities. In this scenario, organic transistors have gained attention for their abilities to be coupled to biological systems and to detect biomolecules. In this Perspective, we discuss recent developments in organic-transistor-based biosensors, highlighting how their coupling with artificial membranes provides a strategy to improve sensitivity and selectivity in biosensing applications. Looking at future applications, this class of biosensors represents a breakthrough starting point for implementing multimodal high-throughput screening platforms.

Indexed as

Biosensing TechniquesMembranes, ArtificialOrganic ChemicalsTransistors, ElectronicMembranes, ArtificialOrganic Chemicals

Identifiers

PMID33052643
PMCPMC8015208
OpenAlexW3092779305

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.