Evidence map›Paper›PMID 38803847›Full record

ArticleFrontiers in bioengineering and biotechnology2024

Microwave biosensor for the detection of growth inhibition of human liver cancer cells at different concentrations of chemotherapeutic drug.

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

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Jun-Ming ZhaoSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi, China.
Yi-Ke WangSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi, China.
Bo-Wen ShiSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi, China.
Yan-Xiong WangSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi, China.
Yan-Feng JiangSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi, China.
Gang-Long YangState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China.
Xiao-Dong GaoSchool of Biotechnology, the Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China.
Tian QiangSchool of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytotoxicity assays are crucial for assessing the efficacy of drugs in killing cancer cells and determining their potential therapeutic value. Measurement of the effect of drug concentration, which is an influence factor on cytotoxicity, is of great importance. This paper proposes a cytotoxicity assay using microwave sensors in an end-point approach based on the detection of the number of live cells for the first time. In contrast to optical methods like fluorescent labeling, this research uses a resonator-type microwave biosensor to evaluate the effects of drug concentrations on cytotoxicity by monitoring electrical parameter changes due to varying cell densities. Initially, the feasibility of treating cells with ultrapure water for cell counting by a microwave biosensor is confirmed. Subsequently, inhibition curves generated by both the CCK-8 method and the new microwave biosensor for various drug concentrations were compared and found to be congruent. This agreement supports the potential of microwave-based methods to quantify cell growth inhibition by drug concentrations.

Indexed as

cytotoxicity assaydrug concentrationsgrowth inhibitionlive cellsmicrowave sensors

Identifiers

PMID38803847
PMCPMC11128630

What OpenQuestion holds

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LicenceCC BY
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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.