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

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...

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Autores principales: Ou, Fang, van Klinken, Anne, Ševo, Petar, Petruzzella, Maurangelo, Li, Chenhui, van Elst, Don M. J., Hakkel, Kaylee D., Pagliano, Francesco, van Veldhoven, Rene P. J., Fiore, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501814/
https://www.ncbi.nlm.nih.gov/pubmed/36146377
http://dx.doi.org/10.3390/s22187027
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author Ou, Fang
van Klinken, Anne
Ševo, Petar
Petruzzella, Maurangelo
Li, Chenhui
van Elst, Don M. J.
Hakkel, Kaylee D.
Pagliano, Francesco
van Veldhoven, Rene P. J.
Fiore, Andrea
author_facet Ou, Fang
van Klinken, Anne
Ševo, Petar
Petruzzella, Maurangelo
Li, Chenhui
van Elst, Don M. J.
Hakkel, Kaylee D.
Pagliano, Francesco
van Veldhoven, Rene P. J.
Fiore, Andrea
author_sort Ou, Fang
collection PubMed
description 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.
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spelling pubmed-95018142022-09-24 Handheld NIR Spectral Sensor Module Based on a Fully-Integrated Detector Array Ou, Fang van Klinken, Anne Ševo, Petar Petruzzella, Maurangelo Li, Chenhui van Elst, Don M. J. Hakkel, Kaylee D. Pagliano, Francesco van Veldhoven, Rene P. J. Fiore, Andrea Sensors (Basel) Article 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. MDPI 2022-09-16 /pmc/articles/PMC9501814/ /pubmed/36146377 http://dx.doi.org/10.3390/s22187027 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ou, Fang
van Klinken, Anne
Ševo, Petar
Petruzzella, Maurangelo
Li, Chenhui
van Elst, Don M. J.
Hakkel, Kaylee D.
Pagliano, Francesco
van Veldhoven, Rene P. J.
Fiore, Andrea
Handheld NIR Spectral Sensor Module Based on a Fully-Integrated Detector Array
title Handheld NIR Spectral Sensor Module Based on a Fully-Integrated Detector Array
title_full Handheld NIR Spectral Sensor Module Based on a Fully-Integrated Detector Array
title_fullStr Handheld NIR Spectral Sensor Module Based on a Fully-Integrated Detector Array
title_full_unstemmed Handheld NIR Spectral Sensor Module Based on a Fully-Integrated Detector Array
title_short Handheld NIR Spectral Sensor Module Based on a Fully-Integrated Detector Array
title_sort handheld nir spectral sensor module based on a fully-integrated detector array
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501814/
https://www.ncbi.nlm.nih.gov/pubmed/36146377
http://dx.doi.org/10.3390/s22187027
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