Your browser doesn't support javascript.
loading
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.
Hou, Xuewen; Wang, Guangli; Wang, Xin; Ge, Xinmin; Fan, Yiren; Jiang, Rui; Nie, Shengdong.
Affiliation
  • Hou X; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Wang G; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Wang X; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Ge X; School of Geosciences, China University of Petroleum, Qingdao, China.
  • Fan Y; School of Geosciences, China University of Petroleum, Qingdao, China.
  • Jiang R; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Nie S; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.
J Sci Food Agric ; 101(6): 2389-2397, 2021 Apr.
Article in En | MEDLINE | ID: mdl-33011981
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Spectroscopy / Olive Oil / Sunflower Oil Type of study: Diagnostic_studies / Evaluation_studies / Screening_studies Language: En Journal: J Sci Food Agric Year: 2021 Type: Article Affiliation country: China
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Spectroscopy / Olive Oil / Sunflower Oil Type of study: Diagnostic_studies / Evaluation_studies / Screening_studies Language: En Journal: J Sci Food Agric Year: 2021 Type: Article Affiliation country: China