Evidence map›Paper›PMID 27428973›Full record

ArticleSensors (Basel, Switzerland)2016

Passive UHF RFID Tag for Multispectral Assessment.

Pablo Escobedo, Miguel A Carvajal, Luis F Capitán-Vallvey, José Fernández-Salmerón, Antonio Martínez-Olmos, Alberto J Palma

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. 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. Article
  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

6 authors.

Pablo EscobedoECsens, CITIC-UGR, Department of Electronic and Computer Technology, ETSIIT University of Granada, Granada E-18071, Spain. pabloescobedo@ugr.es.
Miguel A CarvajalECsens, CITIC-UGR, Department of Electronic and Computer Technology, ETSIIT University of Granada, Granada E-18071, Spain. carvajal@ugr.es.
Luis F Capitán-VallveyECsens, Department of Analytical Chemistry, Faculty of Sciences, University of Granada, Granada E-18071, Spain. lcapitan@ugr.es.
José Fernández-SalmerónInstitute for Nanoelectronics, Technical University of Munich, Munich DE-80333, Germany. jfsalmeron@nano.ei.tum.de.
Antonio Martínez-OlmosECsens, CITIC-UGR, Department of Electronic and Computer Technology, ETSIIT University of Granada, Granada E-18071, Spain. amartinez@ugr.es.
Alberto J PalmaECsens, CITIC-UGR, Department of Electronic and Computer Technology, ETSIIT University of Granada, Granada E-18071, Spain. ajpalma@ugr.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents the design, fabrication, and characterization of a passive printed radiofrequency identification tag in the ultra-high-frequency band with multiple optical sensing capabilities. This tag includes five photodiodes to cover a wide spectral range from near-infrared to visible and ultraviolet spectral regions. The tag antenna and circuit connections have been screen-printed on a flexible polymeric substrate. An ultra-low-power microcontroller-based switch has been included to measure the five magnitudes issuing from the optical sensors, providing a spectral fingerprint of the incident electromagnetic radiation from ultraviolet to infrared, without requiring energy from a battery. The normalization procedure has been designed applying illuminants, and the entire system was tested by measuring cards from a colour chart and sensing fruit ripening.

Indexed as

microcontrolleroptical sensorpassive RFID tagprinted electronicsscreen printingspectral fingerprint

Identifiers

PMID27428973
PMCPMC4970131

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.