Evidence map›Paper›PMID 33498354›Full record

ArticleSensors (Basel, Switzerland)2021

An Adaptive Measurement System for the Simultaneous Evaluation of Frequency Shift and Series Resistance of QCM in Liquid.

Ada Fort, Enza Panzardi, Valerio Vignoli, Marco Tani, Elia Landi, Marco Mugnaini, Pietro Vaccarella

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Ada FortDepartment of Information Engineering and Mathematical Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-0916-1516
Enza PanzardiDepartment of Information Engineering and Mathematical Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-2779-4878
Valerio VignoliDepartment of Information Engineering and Mathematical Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-2509-6566
Marco TaniDepartment of Information Engineering and Mathematical Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-6022-5549
Elia LandiDepartment of Information Engineering and Mathematical Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-2797-481X
Marco MugnainiDepartment of Information Engineering and Mathematical Sciences, University of Siena, 53100 Siena, Italy.
Pietro VaccarellaDepartment of Information Engineering and Mathematical Sciences, University of Siena, 53100 Siena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a novel measurement system based on Quartz Crystal Microbalances is presented. The proposed solution was conceived specifically to overcome the measurement problems related to Quartz Crystal Microbalance (QCM) applications in dielectric liquids where the Q-factor of the resonant system is severely reduced with respect to in-gas applications. The QCM is placed in a Meacham oscillator embedding an amplifier with adjustable gain, an automatic strategy for gain tuning allows for maintaining the oscillator frequency close to the series resonance frequency of the quartz, which is related in a simple way with the physical parameters of interest. The proposed system can be used to monitor simultaneously both the series resonant frequency and the equivalent electromechanical resistance of the quartz. The feasibility and the performance of the proposed method are proven by means of measurements obtained with a prototype based on a 10-MHz AT-cut quartz.

Indexed as

bridge oscillatorsin-liquid measurementsQCM sensors

Identifiers

PMID33498354
PMCPMC7864047

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.