Evidence map›Paper›PMID 38667173›Full record

ArticleBiosensors2024

Highly Sensitive and Linear Resonator-Based Biosensor for White Blood Cell Counting: Feasible Measurement Method and Intrinsic Mechanism Exploration.

Yi-Ke Wang, Bo-Wen Shi, Jun-Ming Zhao, Yan-Xiong Wang, Yan-Feng Jiang, Gang-Long Yang, Xiao-Dong Gao, Tian Qiang

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2024. 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
0.6field-weighted citation impact, top 34% 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, 3 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

8 authors at 2 institutions in 1 country.

Yi-Ke WangSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi 214122, China.
Bo-Wen ShiSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi 214122, China.
Jun-Ming ZhaoSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi 214122, China.
Yan-Xiong WangSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi 214122, China.
Yan-Feng JiangSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-5006-5190
Gang-Long YangState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
Xiao-Dong GaoSchool of Biotechnology, The Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-8575-5095
Tian QiangSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-4811-7094
Jiangnan University · CNChinese Academy of Sciences · CN

Funding

China Postdoctoral Science Foundation 2021M691284National Natural Science Foundation of China 61801146Open Project of the Key Laboratory of Nanodevices and Applications, Chinese Academy of Sciences 22ZS07Postgraduate Research & Practice Innovation Program of Jiangsu Province SJCX23_1226
6 · The paper itself

Abstract

Since different quantities of white blood cells (WBCs) in solution possess an adaptive osmotic pressure of cells, the WBCs themselves and in solution have similar concentrations, resulting in them having similar dielectric properties. Therefore, a microwave sensor could have difficulty in sensing the quantity variation when WBCs are in solution. This paper presents a highly sensitive, linear permittivity-inspired microwave biosensor for WBCs, counting through the evaporation method. Such a measurement method is proposed to record measurements after the cell solution is dripped onto the chip and is completely evaporated naturally. The proposed biosensor consists of an air-bridged asymmetric differential inductor and a centrally located circular fork-finger capacitor fabricated on a GaAs substrate using integrated passive fabrication technology. It is optimized to feature a larger sensitive area and improved Q-factor, which increases the effective area of interaction between cells and the electromagnetic field and facilitates the detection of their changes in number. The sensing relies on the dielectric properties of the cells and the change in the dielectric constant for different concentrations, and the change in resonance properties, which mainly represents the frequency shift, corresponds to the macroscopic change in the concentration of the cells. The microwave biosensors are used to measure biological samples with concentrations ranging from 0.25 × 10

Indexed as

Biosensing TechniquesHumansLeukocyte CountLeukocytesMicrowaveshighly sensitivelinear responsemicrowave biosensorpermittivity-inspiredWBC counting

Identifiers

PMID38667173
PMCPMC11048127
OpenAlexW4394570126

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.