Rapid screening for hazelnut oil and high‐oleic sunflower oil in extra virgin olive oil using low‐field nuclear magnetic resonance relaxometry and machine learning-Reference-Cited by-同舟云学术

Rapid screening for hazelnut oil and high‐oleic sunflower oil in extra virgin olive oil using low‐field nuclear magnetic resonance relaxometry and machine learning

Published:2020-10-24 Issue:6 Volume:101 Page:2389-2397
ISSN:0022-5142
Container-title:Journal of the Science of Food and Agriculture
language:en
Short-container-title:J Sci Food Agric

Author:

Hou Xuewen¹^ORCID,Wang Guangli¹,Wang Xin¹^ORCID,Ge Xinmin²,Fan Yiren²,Jiang Rui¹,Nie Shengdong¹^ORCID

Affiliation:

1. School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai China

2. School of Geosciences China University of Petroleum Qingdao China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.10862

Reference37 articles.

1. A critical review on analytical techniques to detect adulteration of extra virgin olive oil

2. Fast Methodology for Identification of Olive Oil Adulterated with a Mix of Different Vegetable Oils

3. Detection of Extra Virgin Olive Oil Adulteration with Lampante Olive Oil and Refined Olive Oil Using Nuclear Magnetic Resonance Spectroscopy and Multivariate Statistical Analysis

4. Measurement of adulteration of olive oils by near-infrared spectroscopy

5. Advanced detection methods for traceability of origin and authenticity of olive oils

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