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

Authors :
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
Semiconductor Nanophotonics
Photonics and Semiconductor Nanophysics
NanoLab@TU/e
Source :
Sensors (Switzerland), 22(18):7027. Multidisciplinary Digital Publishing Institute (MDPI), Sensors; Volume 22; Issue 18; Pages: 7027
Publication Year :
2022
Publisher :
MDPI AG, 2022.

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.

Details

ISSN :
14248220
Volume :
22
Database :
OpenAIRE
Journal :
Sensors
Accession number :
edsair.doi.dedup.....e3e83860337791c348ef64a93bc2f9b5
Full Text :
https://doi.org/10.3390/s22187027