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Determination of Methanol, Ethanol, and Ethylene Glycol Content in Coconut Wine using PCA and SIMCA

Published: 16 May 2020 Publication History

Abstract

Adulteration of coconut wines are prepared by simple dilution of original beverages. Methanol, Ethanol, and Ethylene Glycol are the chemicals that constitutes health hazard when consume beyond the standard volume. PCA is a technique fit for giving a diagram of multivariate information that are complex and used for uncovering the relations amongst factors, tests, distinguishing exceptions, creating new theories and numerous different variables. SIMCA as a class analogy is a measurable technique for managed order of information. This paper determines the percentage of methanol using NIR Spectrometer based on PCA and SIMCA that will detect and determine chemical content such as Methanol, Ethanol, and Ethylene Glycol that mixed with Coconut wine. The analysis was carried out by the application of PCA and SIMCA and were analyzed with good results to verify adulteration. Also, the state of the lambanog were determined whether adulterated or not adulterated.

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    ICCAE 2020: Proceedings of the 2020 12th International Conference on Computer and Automation Engineering
    February 2020
    231 pages
    ISBN:9781450376785
    DOI:10.1145/3384613
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • The University of Western Australia, Department of Electronic Engineering, University of Western Australia
    • Macquarie U., Austarlia
    • University of Technology Sydney

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 May 2020

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    Author Tags

    1. Adulteration
    2. Coconut wine
    3. Ethanol
    4. Ethylene Glycol
    5. Methanol
    6. NIR Spectrometer
    7. PCA
    8. SIMCA

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