Determination of the geographical origin of Italian extra virgin olive oil using pyrolysis mass spectrometry and artificial neural networks

被引：0
|
作者：
Salter, G.J. [1 ]
Lazzari, M. [1 ]
Giansante, L. [1 ]
Goodacre, R. [1 ]
Jones, A. [1 ]
Surricchio, G. [1 ]
Kell, D.B. [1 ]
Bianchi, G. [1 ]
机构：
[1] Univ of Wales, Aberystwyth, United Kingdom
来源：
Journal of Analytical and Applied Pyrolysis | 1997年 / 40-41卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：159 / 170
相关论文
共 50 条
  • [31] Consumer Misuse of Country-of-Origin Label: Insights from the Italian Extra-Virgin Olive Oil Market
    Bimbo, Francesco
    Roselli, Luigi
    Carlucci, Domenico
    de Gennaro, Bernardo Corrado
    NUTRIENTS, 2020, 12 (07) : 1 - 12
  • [32] Identification and Quantification of Common Adulterants in Extra Virgin Olive Oil Using Microwave Dielectric Spectroscopy Aided by Feedforward Neural Networks
    Alarcon, Julio C. P.
    Souza, Mateus I. O.
    Pepino, Vinicius M.
    Borges, Ben-Hur V.
    IEEE SENSORS JOURNAL, 2024, 24 (19) : 29985 - 29995
  • [33] Rheological analysis for detection of extra virgin olive oil adulteration with vegetable oils: predicting oil type by artificial neural network
    Capar, T. Dursun
    Kavuncuoglu, H.
    Yalcin, H.
    Toga, G.
    QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS, 2019, 11 (08) : 687 - 699
  • [34] Cryogenic-zone-compression gas chromatography-mass spectrometry for the determination of 16 polycyclic aromatic hydrocarbons in extra virgin olive oil
    Arena, Alessia
    Zoccali, Mariosimone
    Tranchida, Peter Q.
    Mondello, Luigi
    JOURNAL OF CHROMATOGRAPHY A, 2024, 1732
  • [35] Stepwise geographical traceability of virgin olive oils by chemical profiles using artificial neural network models
    Garcia-Gonzalez, Diego L.
    Luna, Guadalupe
    Morales, Maria T.
    Aparicio, Ramon
    EUROPEAN JOURNAL OF LIPID SCIENCE AND TECHNOLOGY, 2009, 111 (10) : 1003 - 1013
  • [36] Optimized analytical strategy for determination of bioactive compounds in extra virgin olive oil by liquid chromatography High-Resolution mass spectrometry using central composite design
    Koronaiou, Lelouda-Athanasia
    Maroulis, Marios
    Perikli, Maria
    Abrahamsson, Dimitri
    Lambropoulou, Dimitra A.
    MICROCHEMICAL JOURNAL, 2025, 212
  • [37] Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and artificial neural networks for the origin and authenticity of extra-virgin olive oil: A case study on Taggiasca Ligure
    Senizza, Biancamaria
    Ganugi, Paola
    Trevisan, Marco
    Lucini, Luigi
    FOOD CHEMISTRY, 2023, 404
  • [38] Classification of extra virgin olive oils according to their geographical origin using phenolic compound profiles obtained by capillary electrochromatography
    Lerma-Garcia, M. J.
    Lantano, C.
    Chiavaro, E.
    Cerretani, L.
    Herrero-Martinez, J. M.
    Simo-Alfonso, E. F.
    FOOD RESEARCH INTERNATIONAL, 2009, 42 (10) : 1446 - 1452
  • [39] Improved liquid chromatography tandem mass spectrometry method for the determination of phenolic compounds in virgin olive oil
    Suarez, Manuel
    Macia, Alba
    Romero, Maria-Paz
    Motilva, Maria-Jose
    JOURNAL OF CHROMATOGRAPHY A, 2008, 1214 (1-2) : 90 - 99
  • [40] Application of Generalized Regression Neural Network With Ultraviolet- Visible Spectrometry Methods for Detection of Extra Virgin Olive Oil
    Yuan, Yuan
    Zhang, Jin
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44 (10) : 2973 - 2980
12345