The Journal of Light Scattering, Volume. 36, Issue 4, 445(2024)

Quantitative Analysis of Avocado Oil Using One-Dimensional Convolutional Neural Network Model and In Situ Micro Raman Spectroscopy

ZHANG Xuesong1, SUN Mingsi2, and LIU Huanzheng3
Author Affiliations
  • 1Jilin Engineering Vocational College, Siping Jilin 136001, China
  • 2College of Computer Science and Technology, Jilin University, Changchun Jilin 130012, China
  • 3School of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China
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    References(5)

    [3] [3] Quinones-Islas N, Meza-Marquez O G, Osorio-Revilla G, et al. Detection of adulterants in avocado oil by Mid-FTIR spectroscopy and multivariate analysis[J]. Food Research International, 2013, 51(1): 148-154.

    [4] [4] Lumakso F A, Rohman A, Handoy M, et al. Detection and quantification of soybean and corn oils as adulterants in avocado oil using fourier transform mid infrared (FT-MIR) spectroscopy aided with multivariate calibration[J]. Jurnal Teknologi, 2015, 77(1): 251-255.

    [5] [5] Tang F F, Green H S, Wang S C, et al. Analysis and Authentication of Avocado Oil Using High Resolution NMR Spectroscopy[J]. Molecules, 2021, 26(02): 310.

    [8] [8] Barros I H A S, Paixao L S, Nascimento M H C, et al. Use of portable Raman spectroscopy in the quality control of extra virgin olive oil and adulterated compound oils[J]. Vibrational Spectroscopy, 2021, 116: 103299.

    [9] [9] Zhu J J, Rong Y W, Jiang X, et al. Raman spectroscopy coupled with metaheuristics-based variable selection models: A method for rapid determination of extra virgin olive oil content in vegetable blend oils[J]. Journal of Food Composition and Analysis, 2023, 123: 105503.

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    ZHANG Xuesong, SUN Mingsi, LIU Huanzheng. Quantitative Analysis of Avocado Oil Using One-Dimensional Convolutional Neural Network Model and In Situ Micro Raman Spectroscopy[J]. The Journal of Light Scattering, 2024, 36(4): 445

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    Paper Information

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    Received: Mar. 28, 2024

    Accepted: Jan. 21, 2025

    Published Online: Jan. 21, 2025

    The Author Email:

    DOI:10.13883/j.issn1004-5929.202404010

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