Evidence map›Paper›PMID 36679744›Full record

ReviewSensors (Basel, Switzerland)2023

Bio-Tailored Sensing at the Nanoscale: Biochemical Aspects and Applications.

Francesca Fata, Federica Gabriele, Francesco Angelucci, Rodolfo Ippoliti, Luana Di Leandro, Francesco Giansanti, Matteo Ardini

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Francesca FataDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-8412-6326
Federica GabrieleDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Francesco AngelucciDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Rodolfo IppolitiDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Luana Di LeandroDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Francesco GiansantiDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Matteo ArdiniDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-9044-3352

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demonstration of the first enzyme-based electrode to detect glucose, published in 1967 by S. J. Updike and G. P. Hicks, kicked off huge efforts in building sensors where biomolecules are exploited as native or modified to achieve new or improved sensing performances. In this growing area, bionanotechnology has become prominent in demonstrating how nanomaterials can be tailored into responsive nanostructures using biomolecules and integrated into sensors to detect different analytes, e.g., biomarkers, antibiotics, toxins and organic compounds as well as whole cells and microorganisms with very high sensitivity. Accounting for the natural affinity between biomolecules and almost every type of nanomaterials and taking advantage of well-known crosslinking strategies to stabilize the resulting hybrid nanostructures, biosensors with broad applications and with unprecedented low detection limits have been realized. This review depicts a comprehensive collection of the most recent biochemical and biophysical strategies for building hybrid devices based on bioconjugated nanomaterials and their applications in label-free detection for diagnostics, food and environmental analysis.

Indexed as

Biosensing TechniquesNanostructuresBiomarkersBiomarkersaptamersbioconjugationbiomoleculesbiorecognitionelectrochemistrylabel-free detectionnanomaterialsnanostructuresopticsproteins

Identifiers

PMID36679744
PMCPMC9866807

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.