Evidence map›Paper›PMID 42875704›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Loss-Engineered Terahertz Pixelated Metasensors for Enhanced Molecular Vibrational Fingerprint Sensing.

Chenglin Yang, Yuqing Cui, Donghai Han, Yushan Hou, Zhonglei Shen, Andreas Tittl, Liuyang Zhang, Ruqiang Yan, Xuefeng Chen

Abstract read
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Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Chenglin YangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0002-2987-9931
Yuqing CuiSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Donghai HanSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0003-3989-7401
Yushan HouSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0002-8490-460X
Zhonglei ShenDivision of Physics and Applied Physics, Nanyang Technological University, Singapore, Singapore.
Andreas TittlInstitute of Photonics, Hamburg University of Technology, Hamburg, Germany.ORCID https://orcid.org/0000-0003-3191-7164
Liuyang ZhangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0001-7170-5452
Ruqiang YanSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0002-1250-4084
Xuefeng ChenSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

Deutsche Forschungsgemeinschaft EXC 2089/1-390776260Deutsche Forschungsgemeinschaft TI1063/1European Union 101078018Fundamental Research Funds for the Central Universities 11913224000045National Natural Science Foundation of China 52175115National Natural Science Foundation of China 92360306
6 · The paper itself

Abstract

Molecular vibrational fingerprints in the terahertz (THz) regime offer unique opportunities for label-free chemical and biological sensing. Metasensors can amplify these vibrational signals through local near-field enhancement. However, current THz molecular fingerprint metasensors lack a systematic design and optimization methodology, which severely limits their potential. Here, we unveil the crucial role of resonant loss rate in THz molecular fingerprint sensing and present a loss-engineering methodology for optimized molecular vibrational sensing. Based on the proposed methodology, we experimentally demonstrate a 12.6-fold enhancement of the molecular fingerprint signal with three-dimensionally printed pixelated metasensors.  Furthermore, the pixelated metasensors support vibrational strong-coupling, providing a unified platform for enhanced molecular sensing and strong light-matter interaction. Overall, the proposed metasensor could bridge THz molecular vibrational fingerprint sensing to end-use applications in label-free chemical and biomedical detection.

Indexed as

3D printinglight‐matter interactionsmolecular vibrational sensingpixelated metasensorterahertz spectroscopy

Identifiers

PMID42875704
PMCPMC13669216

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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.