Evidence map›Paper›PMID 33785760›Full record

ArticleNature communications2021

1/f-noise-free optical sensing with an integrated heterodyne interferometer.

Ming Jin, Shui-Jing Tang, Jin-Hui Chen, Xiao-Chong Yu, Haowen Shu, Yuansheng Tao, Antony K Chen, Qihuang Gong, Xingjun Wang, Yun-Feng Xiao

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. High-Science advances · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Ultrasound sensing with optical microcavities.Light, science & applications · 2024
    Review
  9. 1/Sensors (Basel, Switzerland) · 2024
    Article
  10. Review
  11. Multimode sensing based on optical microcavities.Frontiers of optoelectronics · 2023
    Review
  12. Article
  13. Article
  14. Near single-photon imaging in the shortwave infrared using homodyne detection.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Review
  16. Article
  17. Review
  18. Single-molecule optofluidic microsensor with interface whispering gallery modes.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Article
  20. Review
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

10 authors.

Ming Jin *State Key Laboratory of Advanced Optical Communications System and Networks, Department of Electronics, School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China.ORCID 0000-0002-0491-4649
Shui-Jing Tang *State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Peking University, Beijing, 100871, China.
Jin-Hui ChenState Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Peking University, Beijing, 100871, China.
Xiao-Chong YuState Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Peking University, Beijing, 100871, China.ORCID 0000-0002-3480-3915
Haowen ShuState Key Laboratory of Advanced Optical Communications System and Networks, Department of Electronics, School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China.
Yuansheng TaoState Key Laboratory of Advanced Optical Communications System and Networks, Department of Electronics, School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China.
Antony K ChenDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Qihuang GongState Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Peking University, Beijing, 100871, China.
Xingjun WangState Key Laboratory of Advanced Optical Communications System and Networks, Department of Electronics, School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China. xjwang@pku.edu.cn.
Yun-Feng XiaoState Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Peking University, Beijing, 100871, China. yfxiao@pku.edu.cn.ORCID 0000-0002-0296-7130

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical evanescent sensors can non-invasively detect unlabeled nanoscale objects in real time with unprecedented sensitivity, enabling a variety of advances in fundamental physics and biological applications. However, the intrinsic low-frequency noise therein with an approximately 1/f-shaped spectral density imposes an ultimate detection limit for monitoring many paramount processes, such as antigen-antibody reactions, cell motions and DNA hybridizations. Here, we propose and demonstrate a 1/f-noise-free optical sensor through an up-converted detection system. Experimentally, in a CMOS-compatible heterodyne interferometer, the sampling noise amplitude is suppressed by two orders of magnitude. It pushes the label-free single-nanoparticle detection limit down to the attogram level without exploiting cavity resonances, plasmonic effects, or surface charges on the analytes. Single polystyrene nanobeads and HIV-1 virus-like particles are detected as a proof-of-concept demonstration for airborne biosensing. Based on integrated waveguide arrays, our devices hold great potentials for multiplexed and rapid sensing of diverse viruses or molecules.

Indexed as

Biosensing TechniquesHEK293 CellsHumansInterferometryLimit of DetectionNanoparticlesNanotechnologySignal Processing, Computer-Assisted

Identifiers

PMID33785760
PMCPMC8009908

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.