Evidence map›Paper›PMID 41597898›Full record

ReviewMicromachines2026

Diamond Sensor Technologies: From Multi Stimulus to Quantum.

Pak San Yip, Tiqing Zhao, Kefan Guo, Wenjun Liang, Ruihan Xu, Yi Zhang, Yang Lu

Abstract readReview
In one paragraph

Review in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pak San YipDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, China.ORCID 0009-0005-1484-8840
Tiqing ZhaoDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, China.ORCID 0009-0007-6849-9193
Kefan GuoDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, China.ORCID 0009-0008-5175-8723
Wenjun LiangDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, China.ORCID 0009-0005-9171-6921
Ruihan XuDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, China.
Yi ZhangDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, China.
Yang LuDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0002-9280-2718

Funding

National Natural Science Foundation of China 12525205Research Grants Council of the Hong Kong Special Administrative Region, China RFS2021-1S05, N_HKU159/22
6 · The paper itself

Abstract

This review explores the variety of diamond-based sensing applications, emphasizing their material properties, such as high Young's modulus, thermal conductivity, wide bandgap, chemical stability, and radiation hardness. These diamond properties give excellent performance in mechanical, pressure, thermal, magnetic, optoelectronic, radiation, biosensing, quantum, and other applications. In vibration sensing, nano/poly/single-crystal diamond resonators operate from MHz to GHz frequencies, with high quality factor via CVD growth, diamond-on-insulator techniques, and ICP etching. Pressure sensing uses boron-doped piezoresistive, as well as capacitive and Fabry-Pérot readouts. Thermal sensing merges NV nanothermometry, single-crystal resonant thermometers, and resistive/diode sensors. Magnetic detection offers FeGa/Ti/diamond heterostructures, complementing NV. Optoelectronic applications utilize DUV photodiodes and color centers. Radiation detectors benefit from diamond's neutron conversion capability. Biosensing leverages boron-doped diamond and hydrogen-terminated SGFETs, as well as gas targets such as NO

Indexed as

diamond MEMSdiamond sensorsextreme environment sensing

Identifiers

PMID41597898
PMCPMC12844166

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.