Literature DB >> 30742426

Rapid Assessment of Deep Frying Oil Quality as Well as Water and Fat Contents in French Fries by Low-Field Nuclear Magnetic Resonance.

Chen Wang1, Guanqun Su1, Xin Wang1, Shengdong Nie1.   

Abstract

Most of the health hazards in fried foods are related to unqualified frying oil and excessive oil content. In this study, the feasibility of using low-field nuclear magnetic resonance techniques (LF-NMR) for analysis of the water and oil contents in French fries, as well as simultaneous evaluation of frying oil quality during deep frying, was investigated. Three proton populations were identified and successfully assigned to water and oil relaxation signals. Significant correlation between the T2 relaxation parameters ( Awater and RCoil) and the water and oil content was acquired. MRI could visualize the changes of signal intensity and spatial distribution, as well as the internal structural changes during frying. Using the correlation model built by multiple regression analysis, the total polar compounds content of the frying oil could be successfully predicted by LF-NMR relaxation characteristics, which indicates that LF-NMR was an effective method to monitor the quality of frying oil.

Entities:  

Keywords:  French fries; LF-NMR; MRI; TPC; quantitative analysis

Mesh:

Substances:

Year:  2019        PMID: 30742426     DOI: 10.1021/acs.jafc.8b05639

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  2 in total

1.  Possibility of using low-field nuclear magnetic resonance (LF-NMR) and differential scanning calorimetry (DSC) to monitor frying oil degradation.

Authors:  Mohamed Al-Khusaibi; Nasser Abdullah Al-Habsi; Sara Abdullah Al-Yamani; Adhraa Saif Al-Khamis; Iman Al-Shuhaimi; Mohammed Shafiur Rahman
Journal:  J Food Sci Technol       Date:  2022-06-13       Impact factor: 3.117

2.  Physicochemical parameter based estimation of discarding points for frying oil using data interpolation and principal component transformation.

Authors:  Yumei Li; Xianbing Cao; Yanping Cao; Yuxu Feng; Jingjun Ji; Jiuying Xie; Xin Wang
Journal:  Food Sci Nutr       Date:  2020-04-02       Impact factor: 2.863

  2 in total

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