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The methodology for the authentication test prototype developed by the b-TAF project provides a robust framework for ensuring the authenticity of botanical oils. By leveraging statistical analysis and comprehensive compositional testing, the project aims to enhance the reliability and accuracy of oil authentication, addressing the critical challenge of adulteration in the indigenous oil industry.
The first step involves collecting data from various samples. This includes samples from different geographical locations and climates to ensure a broad representation of the oils being tested.
The compositional characters are tested in an accredited laboratory (Precision Oil Laboratories). This includes evaluating macro-components (like triglycerides) and micro-components (such as sterols and tocopherols). Quality testing is also performed to determine the factors that are responsible for altering/influencing the quality of the oil during and after production.
Implementing LIMS to assist with data organisation and extraction.
Once the data is collected, statistical tests are performed to analyze the compositional characteristics of the samples. This involves calculating critical cut-off points for each compositional character of a sample, such as fatty acid profiles, sterol composition, and tocopherol content. These cut-off points are determined using the minimum and maximum values detected for micro and macro components. Samples are grouped into 3 regions according to their origin.
The results of these tests are compiled, and each sample is given a pass or fail status. A pass indicates the sample meets all the authenticity criteria, while a fail suggests the sample may be adulterated and requires further investigation. Clients can contact Precision Oil Laboratories for further investigation and interpretation.
The feedback from these tests is used to refine and improve the authentication process. This involves continuous engagement with stakeholders and updating the database with new data and findings.
The project aims to improve the accuracy of detecting adulteration. Current methods predict adulteration with 60-70% accuracy using only the fatty acid profile. By including sterols and tocopherols in the analysis, the b-TAF project targets an 80-90% accuracy rate.
The standards set by the Codex Alimentarius for fats and oils form the basis of the b-TAF research. This includes standards for fatty acid profiles, sterol composition, and tocopherol content.
The ultimate goal is to create an open-source database that project partners and their members can use to verify the authenticity of their oils, ensuring transparency and trust in the industry.
Photography on this website is credited to GIZ/BIA/ABioSA – Jonathon Rees