Evidence map›Paper›PMID 33167552›Full record

ArticleSensors (Basel, Switzerland)2020

Interdigital Capacitor-Based Passive LC Resonant Sensor for Improved Moisture Sensing.

Kristian Chavdarov Dimitrov, Sanghun Song, Hyungjun Chang, Taejun Lim, Yongshik Lee, Byung-Jae Kwak

Abstract readLetter
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors.

Kristian Chavdarov DimitrovDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea.ORCID 0000-0001-5153-9610
Sanghun SongDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea.
Hyungjun ChangDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea.
Taejun LimDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea.
Yongshik LeeDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea.ORCID 0000-0003-2623-3569
Byung-Jae KwakQUI Inc., Daejeon 34129, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, a passive low-profile moisture sensor design based on radio frequency identification (RFID) technology is proposed. The sensor consists of an LC resonant loop, and the sensing mechanism is based on the fringing electric field generated by the capacitor in the circuit. A standard planar inductor and a two-layer interdigital capacitor (IDC) with a significantly higher fringing capacitance compared to that of a conventional parallel plate capacitor (PPC) are used, resulting in improved frequency offset and sensitivity of the sensor. Furthermore, a sensor tag was designed to operate at an 8.2 MHz electronic article surveillance (EAS) frequency range and the corresponding simulation results were experimentally verified. The IDC- and PPC-based capacitor designs were comprehensively compared. The proposed IDC sensor exhibits enhanced sensitivity of 10% in terms of frequency offset that is maintained over time, increased detection distance of 5%, and more than 20% increase in the quality factor compared to sensors based on PPC. The sensor's performance as a urine detector was experimentally qualified. Additionally, it was shown experimentally that the proposed sensor shows a faster response to moisture. Both simulation and experimental data are presented and elucidated herein.

Indexed as

fringing capacitanceinterdigital capacitormoisture sensingremote sensingRFIDsensor tag

Identifiers

PMID33167552
PMCPMC7663990

What OpenQuestion holds

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Registered trials

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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.