Literature DB >> 28530608

Rapid, accurate, and simultaneous measurement of water and oil contents in the fried starchy system using low-field NMR.

Long Chen1, Yaoqi Tian1, Binghua Sun2, Jinpeng Wang3, Qunyi Tong3, Zhengyu Jin4.   

Abstract

Fried starchy food is rich in oil that may pose a risk to health. For controlling of the oil uptake, a rapid and accurate method for the determination of oil content in the fried starchy food is important. In this study, low-field nuclear magnetic resonance (LF-NMR) was applied to simultaneously determine water and oil contents in the model fried starchy system. The proton signals from oil and water were verified and distinguished by desiccation at 105°C. There was no superposition between oil and water signals in the fried starch, making it possible for quantitative analysis of water and oil in a single test. Compared with Soxhlet extraction, the LF-NMR analysis provided a more accurate result of oil content in the fried starchy system, confirming the practicability of the application of LF-NMR technology as a fast and accurate method for the quantification of water and oil in the fried starchy system.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Amylopectin (PubChem CID: 439207); Amylose (PubChem CID: 53477771); Fried starchy samples; LF-NMR; MnCl(2)·4H(2)O (PubChem CID: 643989) (Please note that oil is not a specific chemical, it is the mixture of triglyceride and fatty acid, therefore, it will not have a specific record in PubChem.); Oil content; Quantitative analysis; Starch (PubChem CID: 24836924); Water (PubChem CID: 962); Water content; Waxy starch (PubChem CID: 86278134)

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Year:  2017        PMID: 28530608     DOI: 10.1016/j.foodchem.2017.04.147

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  3 in total

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Journal:  Mikrochim Acta       Date:  2019-11-20       Impact factor: 5.833

2.  Immunochromatographic assay for T-2 toxin based on luminescent quantum dot beads.

Authors:  Zhiwei Qie; Jinmiao Shi; Wenliang Yan; Zichen Gao; Wu Meng; Rui Xiao; Shengqi Wang
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Journal:  Food Sci Nutr       Date:  2020-02-17       Impact factor: 2.863

  3 in total

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