Evidence map›Paper›PMID 40254711›Full record

ArticleScientific reports2025

Fabrication and application of 3D Terahertz metamaterials with vertical multinanogaps for spectroscopic sensing.

Naoki Inomata, Tomotsugu Takahashi, Yuki Sakai, Taiyu Okatani, Yoshiaki Kanamori

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

5 authors.

Naoki InomataGraduate School of Engineering, Tohoku University, Sendai, 980-8579, Japan. inomata.n@tohoku.ac.jp.
Tomotsugu TakahashiGraduate School of Engineering, Tohoku University, Sendai, 980-8579, Japan.
Yuki SakaiGraduate School of Engineering, Tohoku University, Sendai, 980-8579, Japan.
Taiyu OkataniGraduate School of Engineering, Tohoku University, Sendai, 980-8579, Japan.
Yoshiaki KanamoriGraduate School of Engineering, Tohoku University, Sendai, 980-8579, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Terahertz (THz) metamaterials have garnered attention for their unique electromagnetic properties and potential applications in biomaterial sensing, offering label-free, non-contact capabilities. However, their performance is limited by their diffraction limits, impeding the detection of small objects. This study presents an approach for fabricating three-dimensional (3D) THz metamaterials with vertically oriented, high-aspect-ratio multinanogaps. These 3D metamaterials comprise laminated cross-shaped metal layers, which induce electromagnetic resonance, and polymer layers that support the metal layers at the center of the cross shape. Air nanogaps formed between metal layers achieved aspect ratios of > 64. Conventional microfabrication techniques were employed, including spin coating, metal sputtering deposition, photolithography, ion milling etching, and oxygen plasma etching, without relying on electron beam lithography. Spectroscopic analyses of the fabricated metamaterials revealed that the multilayered structure exhibited a deeper dip than single-layered and double-layered configurations. To validate THz sensing, we used isopropyl alcohol (IPA) for THz spectroscopy applications; the spectra indicated significant peak frequency shifts in the transmission dip of the fabricated device with and without IPA. These findings highlight the application scope of the as-prepared 3D THz metamaterial in material sensing techniques, enhancing THz-metamaterial-based device performance.

Indexed as

NanogapsSpectroscopic detectionTerahertz metamaterials

Identifiers

PMID40254711
PMCPMC12009965

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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.