Characterisation of Sclerocarya birrea (marula) seed oil and investigation of the geographical origin by applying similarity calculations, differential NMR and hierarchical cluster analysis.

INTRODUCTION: The marula fruit is an important indigenous African fruit since various commercial products are produced from the pulp and the seed oil. The increased demand requires methods for authentication, quality control and determination of geographical origin. OBJECTIVE: The study aimed to establish a fast and reliable method for characterisation and authentication of marula seed oil. Furthermore, to identify marker compounds that can distinguish marula seed oils from other commercial oils and indicate regional differences. MATERIALS AND METHODS: Metabolic profiling of 44 commercial marula seed oils was performed using proton nuclear magnetic resonance (1 H NMR). For rapid classification similarity calculations were compared with principal component analysis. Differential NMR was used to determine marker compounds. RESULTS: Marula seed oil was found to be similar to macadamia and olive oils and was distinguished from these oils by the detection of minor components. Marula seed oil is differentiated from the other two oils by the absence of α-linolenic acid, relatively high levels of monoglycerides and diglycerides, and an approximately 1:1 ratio of 1,2- and 1,3-diglycerides. When comparing marula seed oils from various regions using hierarchical cluster analysis, clustering of the marula seed oils from Namibia and Zimbabwe was observed and was related to the quantities of linoleic acid and monoglycerides and diglycerides. Some samples displayed deviations in their composition which might indicate adulteration or contamination during the production process. CONCLUSION: The study demonstrates the potential of NMR as a tool in the quality control of marula seed oil. This technique requires very little sample preparation, circumvents derivatisation of the oil components with fast run-times. In addition, samples with chemical profiles that differ from the general signature profile can easily be identified.

Rapid and accurate verification of drug identity, purity and quality by 1H-NMR using similarity calculations and differential NMR.

The illegal trade in counterfeit and fake drugs is a worldwide multi-billion dollar industry, not only generating enormous economic losses, but health problems for the general population, through direct toxicity, treatment failure and the increased generation of antibiotic resistance. Techniques for high-throughput testing of suspect medicines are needed to face the challenges of the problem. In this study we show that with nuclear magnetic resonance spectroscopy (NMR) drug compliance can be verified in a few minutes, providing data on drug identity, purity and quality without the necessity to develop a specific methodology and using a direct extraction with deuterated solvent. The evaluation of the data is facilitated by similarity calculations and differential NMR spectroscopy. The viability and limitations of this method were assessed, with the application on five different drugs, namely sertraline hydrochloride, alprazolam, vitamin D3, enalapril maleate and paracetamol, in which the individual dosage quantity of the active ingredient ranged from 750 mg down to 0.25 mg. The appropriate sample weight, solvent and internal standard were determined for each drug and quantification was carried out by choosing the most adequate NMR signals for each compound and the internal standard. With the method the accuracy of the quantification is somewhat sacrificed for increased speed in the analysis, but the measurements offer excellent precision and offer the possibility of external calibration. Spectral similarity calculations and differential NMR spectroscopy were used to compare different generic brands and detect eventual undeclared constituents and contaminants. In one brand of alprazolam tablets the undeclared constituent tristearin was found, while in paracetamol tablets the contaminant para-aminophenol was found at a level above the allowed by the legislation. The applicability and limitations of the method are discussed.

Similarity and differential NMR spectroscopy in metabolomics: application to the analysis of vegetable oils with 1H and 13C NMR.

INTRODUCTION: In NMR based metabolomics there is a need for tools to easily compare spectra and to extract the maximum of information from the data. OBJECTIVES: The calculation of similarity and performing differential NMR spectroscopy provides important additional information for classification and validation in metabolomics experiments. METHODS: From 13 different vegetable oils samples were analysed by 1H and 13C NMR. The similarity between spectra was calculated and differential NMR spectroscopy was used to discover marker compounds. RESULTS: The similarity between the individual spectra was calculated for the spectra of all samples. The similarity was used to verify and improve the alignment. For vegetable oils which showed a high similarity, e.g. chia seed oil and linseed oil, differential NMR spectroscopy was used to discover marker compounds. CONCLUSIONS: The calculation of similarity is an important tool to reveal variability between samples and spectra and can be used to verify data sets and improve alignment or binning procedures. With differential spectroscopy marker compounds are easily discovered. The methods can be seen as an important addition to the routine procedures of metabolomics experiments.