Application of stable isotope and mineral element fingerprint in identification of Hainan camellia oil producing area based on convolutional neural networks

Fu, Jiashun; Wang, Junhao; Chen, Zhe; Deng, Zhuowen; Lai, Hanggui; Zhang, Liangxiao; Yun, Yong‐Huan; Zhang, Chenghui

doi:10.1016/j.foodcont.2023.109744

Food Control

2023

DOI: 10.1016/j.foodcont.2023.109744

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Application of stable isotope and mineral element fingerprint in identification of Hainan camellia oil producing area based on convolutional neural networks

Jiashun Fu

Junhao Wang

Zhe Chen

et al.

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Cited by 14 publications

References 40 publications

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A review of advanced techniques for detecting the authenticity and adulteration of camellia oil

Farooq,

Ahmad,

Ali

et al. 2023

J Americ Oil Chem Soc

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Camellia oil, one of the four major woody oils globally, possesses exceptional nutritional value due to its high contents of unsaturated fatty acids and functional compounds like tocopherols, phenolics, and chlorophyll. Unfortunately, due to high demand and cost, fraudsters deliberately mix lower‐quality vegetable oils with camellia oil for profits. This has raised concerns among stakeholders, prompting the need for robust authentication methods. This review provides a concise overview of various analytical techniques employed to assess the authenticity, quality, and potential adulteration of camellia oil. Several techniques, such as chromatography, isotope‐ratio mass spectrometry (IRMS), ion mobility spectrometry (IMS), differential scanning calorimetry (DSC), plasma‐based and deoxyribonucleic acid (DNA)‐based techniques, as well as emerging methods like electronic noses and electronic tongues, are discussed. Notably, traditional chromatographic techniques (GC and HPLC) are reported to be time‐consuming, laborious, employ toxic chemicals, and require complicated sample pretreatments. DNA techniques also face challenges in detecting adulterants due to the complex refining processes of camellia oil, including high‐temperature decolorization and deodorization, which reduce DNA content and induce degradation. In contrast, spectroscopic techniques such as fluorescence spectroscopy, nuclear magnetic resonance, and infrared (near, mid, far) spectroscopy combined with chemometric analyses, have emerged as reliable, rapid, simple, sensitive, and accurate alternative analytical tools for the quality control of camellia oil.

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A review of advanced techniques for detecting the authenticity and adulteration of camellia oil

Farooq,

Ahmad,

Ali

et al. 2023

J Americ Oil Chem Soc

View full text Add to dashboard Cite

show abstract

Geographical origin identification of camellia oil based on fatty acid profiles combined with one-class classification

Dou,

Wang,

et al. 2024

Food Chemistry

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Enhanced food authenticity control using machine learning-assisted elemental analysis

Yang,

Zhang,

et al. 2024

Food Research International

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Application of stable isotope and mineral element fingerprint in identification of Hainan camellia oil producing area based on convolutional neural networks

Cited by 14 publications

References 40 publications

A review of advanced techniques for detecting the authenticity and adulteration of camellia oil

A review of advanced techniques for detecting the authenticity and adulteration of camellia oil

Geographical origin identification of camellia oil based on fatty acid profiles combined with one-class classification

Enhanced food authenticity control using machine learning-assisted elemental analysis

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