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Nutrilyzer: A Mobile System for Characterizing Liquid Food with Photoacoustic Effect

Published: 14 November 2016 Publication History

Abstract

In this paper, we propose Nutrilyzer, a novel mobile sensing system for characterizing the nutrients and detecting adulterants in liquid food with the photoacoustic effect. By listening to the sound of the intensity modulated light or electromagnetic wave with different wavelengths, our mobile photoacoustic sensing system captures unique spectra produced by the transmitted and scattered light while passing through various liquid food. As different liquid foods with different chemical compositions yield uniquely different spectral signatures, Nutrilyzer's signal processing and machine learning algorithm learn to map the photoacoustic signature to various liquid food characteristics including nutrients and adulterants. We evaluated Nutrilyzer for milk nutrient prediction (i.e., milk protein) and milk adulterant detection. We have also explored Nutrilyzer for alcohol concentration prediction. The Nutrilyzer mobile system consists of an array of 16 LEDs in ultraviolet, visible and near-infrared region, two piezoelectric sensors and an ARM microcontroller unit, which are designed and fabricated in a printed circuit board and a 3D printed photoacoustic housing.

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cover image ACM Conferences
SenSys '16: Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM
November 2016
398 pages
ISBN:9781450342636
DOI:10.1145/2994551
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 14 November 2016

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Author Tags

  1. Liquid Food Characterization
  2. Photoacoustic Effect
  3. Ubiquitous Material Sensing

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  • (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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