Evidence map›Paper›PMID 37430731›Full record

ArticleSensors (Basel, Switzerland)2023

Detecting Unique Analyte-Specific Radio Frequency Spectral Responses in Liquid Solutions-Implications for Non-Invasive Physiologic Monitoring.

Dominic Klyve, James H Anderson, George Lorentz, Virend K Somers

Open access · goldAbstract read
In one paragraph

Article 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Dominic KlyveDepartment of Mathematics, Central Washington University, Ellensburg, WA 98926, USA.
James H AndersonKnow Labs Inc., Seattle, WA 98101, USA.
George LorentzMayo Clinic, Rochester, MN 55902, USA.
Virend K SomersMayo Clinic, Rochester, MN 55902, USA.
Mayo Clinic in Arizona · USCentral Washington University · USPatient Knowhow (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With rising healthcare costs and the rapid increase in remote physiologic monitoring and care delivery, there is an increasing need for economical, accurate, and non-invasive continuous measures of blood analytes. Based on radio frequency identification (RFID), a novel electromagnetic technology (the Bio-RFID sensor) was developed to non-invasively penetrate inanimate surfaces, capture data from individual radio frequencies, and convert those data into physiologically meaningful information and insights. Here, we describe groundbreaking proof-of-principle studies using Bio-RFID to accurately measure various concentrations of analytes in deionized water. In particular, we tested the hypothesis that the Bio-RFID sensor is able to precisely and non-invasively measure and identify a variety of analytes in vitro. For this assessment, varying solutions of (1) water in isopropyl alcohol; (2) salt in water, and (3) commercial bleach in water were tested, using a randomized double-blind trial design, as proxies for biochemical solutions in general. The Bio-RFID technology was able to detect concentrations of 2000 parts per million (ppm), with evidence suggesting the ability to detect considerably smaller concentration differences.

Indexed as

2-PropanolHealth Care CostsHypochlorous AcidMonitoring, PhysiologicWater2-PropanolHypochlorous AcidWaterbiosensorsclinical applicationsmicrowave sensorsnon-invasive blood glucose monitoringpoint-of-careradio frequency sensors

Identifiers

PMID37430731
PMCPMC10222300
OpenAlexW4377043135

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.