NMR characterizes complex lipid emulsifier

Image Credit:Shutterstock/1989studio

“…this research showed how 1H NMR, 103C NMR, and 31P NMR techniques can be used to analyze HMMS without the need for purification”.

Emulsifying agents enhance the mixing of two components with a natural tendency to separate by forming a film around the dispersed globules to form an emulsion. Functional emulsifiers comprising a mixture of monoesters and diesters, such as propylene glycol (1,2-propanediol) esters, at high concentrations are widely used in the food industry to improve the appearance and properties of their final products.

For example, such emulsifiers are added to ice cream to inhibit the recrystallization of ice during freezing and to determine the consistency; either foamy so it can be extruded onto cones, or firm so it retains its shape on scooping. Similarly, the addition of lipid emulsifiers to cake mixture and bread dough can increase the volume of the final product and ensure a uniform structure to improve its quality.

Success in achieving the desired effect is determined by the precise composition and concentration of the emulsifier mixture. These in turn may be affected by the way in which the emulsifier is produced, or the conditions in which it is used. It is thus important that an emulsifier can be accurately characterized. Furthermore, the requirement to include nutritional labeling on food products mean that the fatty acid composition of the lipid emulsifier must be known.

There are many high-performance analytical techniques that can be used to characterize lipid mixtures, such as high-performance liquid chromatography (HPLC), mass spectroscopy, and nuclear magnetic resonance spectroscopy (NMR). Unfortunately, none has yet provided the ideal solution for analyzing complex lipid emulsifier mixtures, and it is often necessary to use a combination of different methodologies, which can be time-consuming and wasteful.

The search thus continues for a fast and reliable methodology for the easy and complete analysis of the lipid emulsifiers. Being a particularly desirable technique due to its non-destructive analysis and minimal necessity for sample preparation, NMR has been central to this research. It has already proved to be an effective methodology for the determination of fatty acid composition. The fatty acid contents of sunflower, olive, and linseed oils have been determined in less than a minute using an optimized 1H NMR methodology.

An NMR study has now analyzed a complex lipid mixture derived from soybean oil by enzymatic alcoholysis reactions. The enzymatic alcoholysis produced a high monoester mixture of soybean oil (HMMS). Both the original soybean oil and the HMMS were analyzed, without any purification steps, by 1H NMR, 13C NMR, and 31P NMR using a Bruker Avance III 500 spectrometer.

All three NMR methodologies enabled effective qualitative and quantitative analysis of the HMMS complex mixture of emulsifiers. Spectral dispersion was greater with 13C NMR than with 1H NMR and this enabled better characterization and quantification of mono- and diesters. Greater sensitivity was achieved with 31P relative to 13C, and this allowed the detection of partially esterified glycerols, tocopherol, and free fatty acids.

The fatty acids within the HMMS were shown to be more unsaturated than saturated. Both polyunsaturated fatty acids and monounsaturated fatty acids were detected in the HMMS.

Overall, the authors concluded that 31P NMR spectroscopy represents the most practical and useful methodology for the precise detection and quantification of the components of complex lipid mixtures.

Reference

  • Vafaei N, et al. J Am Oil Chem Soc 2020;97:125–133

About Bruker BioSpin - NMR, EPR and Imaging

Bruker BioSpin offers the world's most comprehensive range of NMR and EPR spectroscopy and preclinical research tools. Bruker BioSpin develops, manufactures and supplies technology to research establishments, commercial enterprises and multi-national corporations across countless industries and fields of expertise.


Sponsored Content Policy: News-Medical.net publishes articles and related content that may be derived from sources where we have existing commercial relationships, provided such content adds value to the core editorial ethos of News-Medical.Net which is to educate and inform site visitors interested in medical research, science, medical devices and treatments.

Last updated: Mar 11, 2022 at 12:39 AM

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Bruker BioSpin - NMR, EPR and Imaging. (2022, March 11). NMR characterizes complex lipid emulsifier. News-Medical. Retrieved on April 23, 2024 from https://www.news-medical.net/whitepaper/20210709/NMR-characterizes-complex-lipid-emulsifier.aspx.

  • MLA

    Bruker BioSpin - NMR, EPR and Imaging. "NMR characterizes complex lipid emulsifier". News-Medical. 23 April 2024. <https://www.news-medical.net/whitepaper/20210709/NMR-characterizes-complex-lipid-emulsifier.aspx>.

  • Chicago

    Bruker BioSpin - NMR, EPR and Imaging. "NMR characterizes complex lipid emulsifier". News-Medical. https://www.news-medical.net/whitepaper/20210709/NMR-characterizes-complex-lipid-emulsifier.aspx. (accessed April 23, 2024).

  • Harvard

    Bruker BioSpin - NMR, EPR and Imaging. 2022. NMR characterizes complex lipid emulsifier. News-Medical, viewed 23 April 2024, https://www.news-medical.net/whitepaper/20210709/NMR-characterizes-complex-lipid-emulsifier.aspx.

Other White Papers by this Supplier

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.