Evidence map›Paper›PMID 36594037›Full record

ArticleiScience2023

Ultra-sensitive terahertz metamaterials biosensor based on luxuriant gaps structure.

KangLong Chen, Cunjun Ruan, Fangyuan Zhan, Xiaoyu Song, Ayesha Kosar Fahad, Tianyao Zhang, Wei Shi

Abstract read
In one paragraph

Article in iScience, 2023. 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
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

7 authors.

KangLong ChenSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, China.
Cunjun RuanSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, China.
Fangyuan ZhanKey Laboratory for the Physics and Chemistry of Nano Devices, School of Electronics, Peking University, Beijing 100871, China.
Xiaoyu SongSchool of Engineering Medicine and School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Ayesha Kosar FahadSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, China.
Tianyao ZhangBeijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Wei ShiSchool of Engineering Medicine and School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fast, simple, and label-free detections and distinctions are desirable in cell biology analysis and diagnosis. Here, a biosensor based on terahertz metamaterial has luxuriant gaps, which can excite dipole resonance is designed. Filling the gaps with various analytes can change the biosensor's capacitance resulting in electromagnetic properties changing. The idea is verified by simulations and experiments. The theoretical sensitivity of the biosensor approaches 290 GHz/RIU, and the experimental concentration sensitivity of the biosensor is ≥ 275 kHz mL/cell. Candida Albicans, Escherichia Coli, and Shigella Dysenteriae were selected as analytes, and the measurement frequency shift is 270 GHz, 290 GHz, and 310 GHz, respectively, which indicates that the biosensor can detect and distinguish these bacteria. Successfully detection of low-concentration glioblastoma (200 cells/mL), showing great potential for the early diagnosis of glioblastoma of the biosensor. This biosensor supplies a new horizon for cell detection, which will significantly benefit cell biology investigation.

Indexed as

applied sciencesphotonicssensor system

Identifiers

PMID36594037
PMCPMC9804134

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.