Evidence map›Paper›PMID 40213787›Full record

ArticleSmall science2022

Programmable Multiwavelength Radio Frequency Spectrometry of Chemophysical Environments through an Adaptable Network of Flexible and Environmentally Responsive, Passive Wireless Elements.

Manik Dautta, Amirhossein Hajiaghajani, Fan Ye, Alberto Ranier Escobar, Abel Jimenez, Kazi Khurshidi Haque Dia, Peter Tseng

Abstract read
In one paragraph

Article in Small science, 2022. 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. Review
  2. Review
  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.

Manik DauttaDepartment of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA.
Amirhossein HajiaghajaniDepartment of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA.
Fan YeDepartment of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA.
Alberto Ranier EscobarDepartment of Biomedical Engineering University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA.
Abel JimenezDepartment of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA.
Kazi Khurshidi Haque DiaDepartment of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA.
Peter TsengDepartment of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA.ORCID 0000-0001-6598-1661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Readout of multiparametric environmental signals typically uses discrete sensing formats that individually require unique signal conditioning circuitry and/or processing pathways. Here, adaptable sensor networks composed exclusively of passive material architectures that enable spectrometric comonitoring of chemical or physical environmental signals are proposed. Herein, a single radio frequency (RF) reader wirelessly interacts first with an intermediate wireless relay coil-this is tunable in length and can be designed to conform around surfaces. This relay (that is fused on textiles or surfaces) is then wirelessly coupled to arrays of passive RF sensors with individually programmable flexibility/reactivity to environmental signals. Multiple chemical and physical signals can then be monitored within the single spectral readout of a wearable reader. This technique can probe over tunable length scales, and is robust to mechanical disturbances that limit present techniques. As a proof of concept, this approach is used to comonitor chemophysical metrics such as nutrients, temperature, pressure, pH, and more on the skin or in utensils with a single readout. This technique may form a cornerstone of zero-microelectronic sensor networks.

Indexed as

multiparametric readoutradio frequency (RF) sensorssensor networksspectroscopywireless sensing

Identifiers

PMID40213787
PMCPMC11936011

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.