Evidence map›Paper›PMID 31540039›Full record

ArticleSensors (Basel, Switzerland)2019

Assessing the Mass Sensitivity for Different Electrode Materials Commonly Used in Quartz Crystal Microbalances (QCMs).

Xianhe Huang, Qiao Chen, Wei Pan, Jianguo Hu, Yao Yao

Abstract readLetter
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

5 authors.

Xianhe HuangSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. xianhehuang@uestc.edu.cn.
Qiao ChenSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. qiaochen@std.uestc.edu.cn.ORCID 0000-0002-2022-4680
Wei PanSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. weipan@std.uestc.edu.cn.ORCID 0000-0002-9967-1757
Jianguo HuSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. hujianguo@std.uestc.edu.cn.
Yao YaoSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. yaoyao428@uestc.edu.cn.

Funding

National Natural Science Foundation of China 61871098
6 · The paper itself

Abstract

Mass sensitivity is vital for quartz crystal microbalance (QCM)-based data analysis. The mass sensitivity distribution of QCMs may differ greatly depending on the shapes, thicknesses, sizes, and materials of the metal electrodes. This is not considered by the Sauerbrey equation, and has a large potential to cause errors in QCM-based data analysis. Many previous works have studied the effects of shape, thickness, and size of metal electrodes on mass sensitivity. However, it is necessary to continue to clarify the relationship between the mass sensitivity and the electrode material of the QCM. In this paper, the results of both theoretical calculation and experimental analysis showed that the mass sensitivity of QCMs with gold electrodes is higher than that of the QCMs with silver electrodes, which in turn indicated that the mass sensitivity of QCMs varies with the electrode material. Meanwhile, the results of this study showed that the mass sensitivity of QCMs with different electrode materials is not proportional to the density of the electrode materials. This result suggests that, in order to obtain more accurate results in the practical applications of QCMs, the influence of electrode material on the mass sensitivity of the QCMs must be considered.

Indexed as

electrode materialsmass sensitivityquartz crystal microbalance (QCM)thin film

Identifiers

PMID31540039
PMCPMC6767270

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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.