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A Mobile Scanner for Probing Liquid Samples in Everyday Settings

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Published:08 October 2018Publication History

ABSTRACT

Our work investigates the use of a Near InfraRed Spectroscopy scanner for the identification of liquids. While previous work has shown promising results for the identification of solid objects, identifying liquids poses additional challenges. These challenges include light scattering and low reflectance caused by the transparency of liquids, which interfere with the infrared measurement. We develop a prototype solution consisting of a 3D printed clamp that attaches to a tube, such that it blocks ambient light from interfering. Our preliminary results indicate that our prototype works, and we demonstrate this by measuring sugar levels in a liquid solution.

References

  1. Amay J Bandodkar, Itthipon Jeerapan, and Joseph Wang. 2016. Wearable chemical sensors: Present challenges and future prospects. ACS Sensors 1, 5 (2016), 464--482.Google ScholarGoogle ScholarCross RefCross Ref
  2. Yuriy Divin, Matvey Lyatti, Ulrich Poppe, Knut Urban, and Valery Pavlovskiy. 2011. Josephson spectroscopy for identification of liquids. IEEE transactions on applied superconductivity 21, 3 (2011), 311--314.Google ScholarGoogle ScholarCross RefCross Ref
  3. Robert Geirhos, David HJ Janssen, Heiko H Schütt, Jonas Rauber, Matthias Bethge, and Felix A Wichmann. 2017. Comparing deep neural networks against humans: object recognition when the signal gets weaker. arXiv preprint arXiv:1706.06969 (2017).Google ScholarGoogle Scholar
  4. Inc. Hanna Instruments. n.d. Digital Refractometer for Sugar Analysis in Wine, Must and Juice - HI96812 -Hanna Instruments. https://goo.gl/y4jbrY. (n.d.). (Accessed on 07/12/2018).Google ScholarGoogle Scholar
  5. Arshad Hassan, KiBae Lee, Jinho Bae, and Chong Hyun Lee. 2017. An inkjet-printed microstrip patch sensor for liquid identification. Sensors and Actuators A: Physical 268 (2017), 141--147.Google ScholarGoogle ScholarCross RefCross Ref
  6. Ming Huang, Jingjing Yang, Jiaqiang Wang, and Jinhui Peng. 2007. Microwave sensor for measuring the properties of a liquid drop. Measurement Science and Technology 18, 7 (2007), 1934.Google ScholarGoogle ScholarCross RefCross Ref
  7. Texas Instruments Incorporated. n.d. DLP NIRscan Nano Evaluation Module. http://www.ti.com/tool/DLPNIRNANOEVM. (n.d.). (Accessed on 07/11/2018).Google ScholarGoogle Scholar
  8. Xin Jiang, Tingting Yang, Changli Li, Rujing Zhang, Li Zhang, Xuanliang Zhao, and Hongwei Zhu. 2017. Rapid Liquid Recognition and Quality Inspection with Graphene Test Papers. Global Challenges 1, 6 (2017), 1700037.Google ScholarGoogle ScholarCross RefCross Ref
  9. Simon Klakegg, Jorge Goncalves, Chu Luo, Aku Visuri, Alexey Popov, Niels van Berkel, Zhanna Sarsenbayeva, Vassilis Kostakos, Simo Hosio, Scott Savage, and others. 2018. Assisted Medication Management in Elderly Care Using Miniaturised Near-Infrared Spectroscopy. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 2 (2018), 69. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Simon Klakegg, Jorge Goncalves, Niels van Berkel, Chu Luo, Simo Hosio, and Vassilis Kostakos. 2017. Towards Commoditised Near Infrared Spectroscopy. In Proceedings of the 2017 Conference on Designing Interactive Systems (DIS '17). ACM, New York, NY, USA, 515--527. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Ai Liu, Gang Li, Zhigang Fu, Yang Guan, and Ling Lin. 2018. Non-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte. Scientific reports 8, 1 (2018), 8564.Google ScholarGoogle Scholar
  12. Metrohm NIRSystems. 2002. A guide to near-infrared spectroscopic analysis of industrial manufacturing processes. (2002).Google ScholarGoogle Scholar
  13. Nicoletta Sinelli, Sara Limbo, Luisa Torri, Valentina Di Egidio, and Ernestina Casiraghi. 2010. Evaluation of freshness decay of minced beef stored in high-oxygen modified atmosphere packaged at different temperatures using NIR and MIR spectroscopy. Meat science 86, 3 (2010), 748--752.Google ScholarGoogle Scholar
  14. Qing Song, GX Zhang, and ZR Qiu. 2005. Review of drop analysis technology for liquid property study. Opto-Electron. Rev. 13, 1 (2005), 1--8.Google ScholarGoogle Scholar

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  1. A Mobile Scanner for Probing Liquid Samples in Everyday Settings

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      cover image ACM Conferences
      UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
      October 2018
      1881 pages
      ISBN:9781450359665
      DOI:10.1145/3267305

      Copyright © 2018 ACM

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      Publication History

      • Published: 8 October 2018

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