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Probing Sucrose Contents in Everyday Drinks Using Miniaturized Near-Infrared Spectroscopy Scanners

Authors:

Gabriele Marini,

Niels van Berkel,

Zhanna Sarsenbayeva,

Tilman Dingler,

Jorge Goncalves,

Yoshihiro Kawahara,

Vassilis KostakosAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 3, Issue 4

Article No.: 136, Pages 1 - 25

https://doi.org/10.1145/3369834

Published: 14 September 2020 Publication History

Abstract

Near-Infrared Spectroscopy (NIRS) is a non-invasive sensing technique which can be used to acquire information on an object's chemical composition. Although NIRS is conventionally used in dedicated laboratories, the recent introduction of miniaturized NIRS scanners has greatly expanded the use cases of this technology. Previous work from the UbiComp community shows that miniaturized NIRS can be successfully adapted to identify medical pills and alcohol concentration. In this paper, we further extend this technology to identify sugar (sucrose) contents in everyday drinks. We developed a standalone mobile device which includes inter alia a NIRS scanner and a 3D printed clamp. The clamp can be attached to a straw-like tube to sense a liquid's sucrose content. Through a series of studies, we show that our technique can accurately measure sucrose levels in both lab-made samples and commercially available drinks, as well as classify commercial drinks. Furthermore, we show that our method is robust to variations in the ambient temperature and lighting conditions. Overall, our system can estimate the concentration of sugar with ±0.29 g/100ml error in lab-made samples and < 2.0 g/100ml error in 18 commercial drinks, and can identify everyday drinks with > 99% accuracy. Furthermore, in our analysis, we are able to discern three characteristic wavelengths in the near-infrared region (1055 nm, 1235 nm and 1545 nm) with acute responses to sugar (sucrose). Our proposed protocol contributes to the development of everyday "food scanners" consumers.

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Beć KGrabska JHuck C(2025)Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring10.1016/bs.afnr.2025.01.002Online publication date: 2025
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Index Terms

Probing Sucrose Contents in Everyday Drinks Using Miniaturized Near-Infrared Spectroscopy Scanners
1. Human-centered computing
  1. Ubiquitous and mobile computing

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 3, Issue 4

December 2019

873 pages

EISSN:2474-9567

DOI:10.1145/3375704

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Copyright © 2019 ACM.

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Published: 14 September 2020

Published in IMWUT Volume 3, Issue 4

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Beć KGrabska JHuck C(2025)Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring10.1016/bs.afnr.2025.01.002Online publication date: 2025
https://doi.org/10.1016/bs.afnr.2025.01.002
Rofiq HSujak G(2024)CodelessML: A Beginner's Web Application for Getting Started with Machine LearningJournal of Computer and Education Research10.18009/jcer.150686412:24(582-599)Online publication date: 21-Oct-2024
https://doi.org/10.18009/jcer.1506864
Verma DRuffolo ILindell DKutulakos KMariakakis A(2024)ChromaFlash: Snapshot Hyperspectral Imaging Using Rolling Shutter CamerasProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785828:3(1-31)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678582
Chen MChen HNiu SShu YLiu JTan RHe YChen J(2024)UrineSpec: A Lightweight Near-Infrared Spectroscopy System for Metabolite Detection in UrineProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699375(799-810)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699375
Jiang WGoncalves JKostakos V(2024)Mobile Near-infrared Sensing—A Systematic Review on Devices, Data, Modeling, and ApplicationsACM Computing Surveys10.1145/365259656:8(1-36)Online publication date: 10-Apr-2024
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Huang HXu YZhang JState R(2024)NIRWatchdog: Cross-Domain Product Quality Assessment Using Miniaturized Near-Infrared SensorsIEEE Internet of Things Journal10.1109/JIOT.2023.333194811:7(12071-12086)Online publication date: 1-Apr-2024
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Grabska JBeć KHuck C(2024)Portability of miniaturized food analytical systems 4.0Food Industry 4.010.1016/B978-0-443-15516-1.00010-4(189-231)Online publication date: 2024
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Amirvaresi AParastar H(2023)Miniaturized NIR spectroscopy and chemometrics: A smart combination to solve food authentication challengesFrontiers in Analytical Science10.3389/frans.2023.11185903Online publication date: 3-Mar-2023
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