Evidence map›Paper›PMID 38785704›Full record

ArticleBiosensors2024

Detection of In Vivo-like Cells by a Biosensor Chip Based on Metamaterials in Terahertz Regime.

Lulu Han, Yuchen Wang, Kanglong Chen, Hengyu Gao, Kexin Xia, Qinggang Ge, Jun Yang, Wei Shi, Cunjun Ruan

Abstract read
PubMed Full text at PMC Publisher
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
–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

1 citing paper in PubMed.

  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

9 authors.

Lulu HanSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, China.
Yuchen WangSchool of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Kanglong ChenSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, China.ORCID 0000-0001-9712-6272
Hengyu GaoSchool of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Kexin XiaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, China.
Qinggang GeDepartment of Neurosurgery, Peking University Third Hospital, Beijing 100191, China.
Jun YangDepartment of Neurosurgery, Peking University Third Hospital, Beijing 100191, China.
Wei ShiSchool of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Cunjun RuanSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, China.ORCID 0000-0002-5248-9333

Funding

Beijing hospital Authority Clinical medicine Development special ZLRK202333Beijing Natural Science Foundation Z200024National Natural Science Foundation of China 62371021
6 · The paper itself

Abstract

Early diagnosis of diseases, especially cancer, is critical for effective treatment. The unique properties of terahertz technology have attracted attention in this field. However, current terahertz bio-detection methods face challenges due to differences between the test environment and the actual in vivo conditions. In this study, a novel method is proposed for detecting in vivo-like cells using a biosensor chip composed of metamaterials and a cavity. The cavity has a thickness of ~50 μm. The structure can protect cells from damage and provides a liquid environment like an in vivo state. Through simulation analysis, the metamaterials sensor exhibits a theoretical sensitivity of 0.287 THz/RIU (Refractive Index Unit) with a 50 μm thick analyte. The detection method is experimentally validated using the apoptosis of glioma cells and various cell types. The biosensor investigates the apoptosis of glioma cells under the impact of temozolomide, and the trend of the results was consistent with the Cell Counting Kit-8 method. Furthermore, at a concentration of ~5200 cells/cm

Indexed as

ApoptosisBiosensing TechniquesCell Line, TumorGliomaHumansbiosensorlive cellmetamaterialsterahertz

Identifiers

PMID38785704
PMCPMC11117974

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.