Evidence map›Paper›PMID 40055328›Full record

ArticleMicrosystems & nanoengineering2025

Harnessing exceptional points for ultrahigh sensitive acoustic wave sensing.

Xingyu Lu, Yang Yuan, Fa Chen, Xiaoxiao Hou, Yanlong Guo, Leonhard Reindl, Yongqing Fu, Wei Luo, Degang Zhao

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Xingyu Lu *Department of Physics, Huazhong University of Science and Technology, Wuhan, China.ORCID http://orcid.org/0009-0003-7220-4627
Yang Yuan *School of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Fa ChenSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Xiaoxiao HouSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Yanlong GuoDepartment of Physics, Huazhong University of Science and Technology, Wuhan, China.
Leonhard ReindlInstitute for Microsystem Technology, Faculty for Engineering, University of Freiburg, Freiburg im Breisgau, Germany.
Yongqing FuFaculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.ORCID http://orcid.org/0000-0001-9797-4036
Wei LuoSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China. luowei@hust.edu.cn.
Degang ZhaoDepartment of Physics, Huazhong University of Science and Technology, Wuhan, China. dgzhao@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exceptional point (EP) is referred to degeneracies in a non-Hermitian system where two or more eigenvalues and their corresponding eigenvectors coalesce. Recently there have been significantly increased interests in harnessing EPs to enhance responsivities and achieve ultrasensitive detections in optics, electronics and acoustics, although there are few similar studies focused on using surface acoustic wave (SAW) sensing technologies, probably due to its great technical challenges. Herein, we proposed a scheme for accessing EPs in an on-chip architecture consisted of coupled-SAW-resonators system, forming a passive parity-time (PT) symmetric system. We demonstrated that by tuning additional losses in one of resonators and regulating the system in the proximity of the EP, the sensor exhibited significantly enhanced responses. As an example, we present an EP-based SAW gas sensor, which showed a much-improved sensitivity compared to that of a conventional delay-line SAW sensor. The fundamental mechanisms behind this excellent sensing performance have been elucidated.

Identifiers

PMID40055328
PMCPMC11889215

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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.