Evidence map›Paper›PMID 36146377›Full record

ArticleSensors (Basel, Switzerland)2022

Handheld NIR Spectral Sensor Module Based on a Fully-Integrated Detector Array.

Fang Ou, Anne van Klinken, Petar Ševo, Maurangelo Petruzzella, Chenhui Li, Don M J van Elst, Kaylee D Hakkel, Francesco Pagliano, Rene P J van Veldhoven, Andrea Fiore

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Fang OuDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.ORCID 0000-0002-5037-0857
Anne van KlinkenDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.ORCID 0000-0003-1342-5270
Petar ŠevoDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.
Maurangelo PetruzzellaDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.
Chenhui LiDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.
Don M J van ElstDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.
Kaylee D HakkelDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.
Francesco PaglianoDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.
Rene P J van VeldhovenDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.
Andrea FioreDepartment of Applied Physics and Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.ORCID 0000-0002-6430-4359

Funding

Dutch Research Council 16670Dutch Research Council 17626Penta 16113
6 · The paper itself

Abstract

For decades, near-infrared (NIR) spectroscopy has been a valuable tool for material analysis in a variety of applications, ranging from industrial process monitoring to quality assessment. Traditional spectrometers are typically bulky, fragile and expensive, which makes them unsuitable for portable and in-field use. Thus, there is a growing interest for miniaturized, robust and low-cost NIR sensors. In this study, we demonstrate a handheld NIR spectral sensor module, based on a fully-integrated multipixel detector array, sensitive in the 850-1700 nm wavelength range. Differently from a spectrometer, the spectral sensor measures a limited number of NIR spectral bands. The capabilities of the spectral sensor module were evaluated alongside a commercially available portable spectrometer for two application cases: to quantify the moisture content in rice grains and to classify plastic types. Both devices achieved the two sensing tasks with comparable performance. Moisture quantification was achieved with a root mean square error (RMSE) prediction of 1.4% and 1.1% by the spectral sensor and spectrometer, respectively. Classification of the plastic type was achieved with a prediction accuracy on unknown samples of 100% and 96.4% by the spectral sensor and spectrometer, respectively. The results from this study are promising and demonstrate the potential for the compact NIR modules to be used in a variety of NIR sensing applications.

Indexed as

PlasticsSpectroscopy, Near-InfraredPlasticsintegrated photonicsnear-infraredportable devicessensorsspectral sensing

Identifiers

PMID36146377
PMCPMC9501814

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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.