Evidence map›Paper›PMID 27104577›Full record

ArticleBiosensors2016

AC and Phase Sensing of Nanowires for Biosensing.

Marco Crescentini, Michele Rossi, Peter Ashburn, Marta Lombardini, Enrico Sangiorgi, Hywel Morgan, Marco Tartagni

Abstract read
In one paragraph

Article in Biosensors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Marco CrescentiniDepartment of Electrical, Electronic and Information Engineering, University of Bologna, Cesena Campus, Cesena 47521, Italy. marco.crescentini3@unibo.it.
Michele RossiDepartment of Electrical, Electronic and Information Engineering, University of Bologna, Cesena Campus, Cesena 47521, Italy. michele.rossi@unibo.it.
Peter AshburnSchool of Electronics and Computer Sciences, and the Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK. pa@ecs.soton.ac.uk.
Marta LombardiniSchool of Electronics and Computer Sciences, and the Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK. ml09v@ecs.soton.ac.uk.
Enrico SangiorgiDepartment of Electrical, Electronic and Information Engineering, University of Bologna, Cesena Campus, Cesena 47521, Italy. enrico.sangiorgi@unibo.it.
Hywel MorganSchool of Electronics and Computer Sciences, and the Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK. hm@ecs.soton.uk.
Marco TartagniDepartment of Electrical, Electronic and Information Engineering, University of Bologna, Cesena Campus, Cesena 47521, Italy. marco.tartagni@unibo.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicon nanowires are label-free sensors that allow real-time measurements. They are economical and pave the road for point-of-care applications but require complex readout and skilled personnel. We propose a new model and technique for sensing nanowire sensors using alternating currents (AC) to capture both magnitude and phase information from the sensor. This approach combines the advantages of complex impedance spectroscopy with the noise reduction performances of lock-in techniques. Experimental results show how modifications of the sensors with different surface chemistries lead to the same direct-current (DC) response but can be discerned using the AC approach.

Indexed as

Biosensing TechniquesElectricityAlgorithmsElectric ImpedanceMicrofluidicsModels, TheoreticalNanowiresSiliconSiliconAC sensingimpedance spectroscopynanosensorsnanowiresphase detection

Identifiers

PMID27104577
PMCPMC4931475

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.