Evidence map›Paper›PMID 35013200›Full record

ArticleNature communications2022

Integrated near-infrared spectral sensing.

Kaylee D Hakkel, Maurangelo Petruzzella, Fang Ou, Anne van Klinken, Francesco Pagliano, Tianran Liu, Rene P J van Veldhoven, Andrea Fiore

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Advances in Miniaturized Computational Spectrometers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. In-sensor computing using a MoSNature communications · 2023
    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

8 authors.

Kaylee D Hakkel *Department of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, PO Box 513, NL, 5600 MB, Eindhoven, The Netherlands. k.d.hakkel@tue.nl.ORCID http://orcid.org/0000-0003-1639-1416
Maurangelo Petruzzella *Department of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, PO Box 513, NL, 5600 MB, Eindhoven, The Netherlands.
Fang OuDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, PO Box 513, NL, 5600 MB, Eindhoven, The Netherlands.ORCID http://orcid.org/0000-0002-5037-0857
Anne van KlinkenDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, PO Box 513, NL, 5600 MB, Eindhoven, The Netherlands.ORCID http://orcid.org/0000-0003-1342-5270
Francesco PaglianoDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, PO Box 513, NL, 5600 MB, Eindhoven, The Netherlands.
Tianran LiuDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, PO Box 513, NL, 5600 MB, Eindhoven, The Netherlands.ORCID http://orcid.org/0000-0003-4980-1792
Rene P J van VeldhovenDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, PO Box 513, NL, 5600 MB, Eindhoven, The Netherlands.
Andrea FioreDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, PO Box 513, NL, 5600 MB, Eindhoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spectral sensing is increasingly used in applications ranging from industrial process monitoring to agriculture. Sensing is usually performed by measuring reflected or transmitted light with a spectrometer and processing the resulting spectra. However, realizing compact and mass-manufacturable spectrometers is a major challenge, particularly in the infrared spectral region where chemical information is most prominent. Here we propose a different approach to spectral sensing which dramatically simplifies the requirements on the hardware and allows the monolithic integration of the sensors. We use an array of resonant-cavity-enhanced photodetectors, each featuring a distinct spectral response in the 850-1700 nm wavelength range. We show that prediction models can be built directly using the responses of the photodetectors, despite the presence of multiple broad peaks, releasing the need for spectral reconstruction. The large etendue and responsivity allow us to demonstrate the application of an integrated near-infrared spectral sensor in relevant problems, namely milk and plastic sensing. Our results open the way to spectral sensors with minimal size, cost and complexity for industrial and consumer applications.

Identifiers

PMID35013200
PMCPMC8748443

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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.