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
[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.
Get Citation
Copy Citation Text
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
Category:
Received: Mar. 28, 2024
Accepted: Jan. 21, 2025
Published Online: Jan. 21, 2025
The Author Email: