Literature DB >> 32739811

Prediction of the sweetening effect of Siraitia grosvenorii (luo han guo) fruits by two-dimensional quantitative NMR.

Serhat S Çiçek1, Tiffany Esposito2, Ulrich Girreser3.   

Abstract

During the last decade, dried fruits of Siraitia grosvenorii (luo han guo), also known as monk fruit, have become popular food ingredients. Luo han guo extracts, which are promoted as non-caloric natural sweeteners, are now incorporated into dietary supplements, soft drinks, and energy shakes. The compounds responsible for the sweetening effect are glycosylated cucurbitane-type triterpenoids, the so-called mogrosides. However, of the more than 40 known mogroside compounds, only 11-α-hydroxy-mogrosides exhibit a sweetening effect, whereas the other triterpenoids are non- or bitter-tasting. We have used two-dimensional quantitative NMR to determine selectively the content of 11-α-hydroxy-mogrosides in these dried fruits and thus to predict their sweetening potential. Homonuclear (H,H COSY) and heteronuclear (HSQC) methods were developed, validated, and compared. Both techniques were found suitable for the quality control of luo han guo fruits and extracts, the COSY experiment being advantageous with regard to accuracy, precision, and limit of quantification.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  COSY; Cucurbitaceae; HSQC; Luo han guo; Mogrosides; Natural sweetener; Siraitia grosvenorii; qNMR

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Year:  2020        PMID: 32739811     DOI: 10.1016/j.foodchem.2020.127622

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


  2 in total

1.  Direct Quantitation of Phytocannabinoids by One-Dimensional 1H qNMR and Two-Dimensional 1H-1H COSY qNMR in Complex Natural Mixtures.

Authors:  Evangelos Dadiotis; Vangelis Mitsis; Eleni Melliou; Prokopios Magiatis
Journal:  Molecules       Date:  2022-05-05       Impact factor: 4.927

2.  Chemical Comparison of Monk Fruit Products Processed by Different Drying Methods Using High-Performance Thin-Layer Chromatography Combined With Chemometric Analysis.

Authors:  Hui-Jie Hong; Qi Yang; Qiao Liu; Fong Leong; Xiao-Jia Chen
Journal:  Front Nutr       Date:  2022-05-02
  2 in total

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