Innovations Item Code: IN-2024-2100048
Sector: Health/Telemedicine
Description:
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A novel method has been developed for the identification of trans-fatty acids (TFAs) and triglycerides (TGs) found in human serum. The reference standard for this analysis of a wide range of samples was created such that thermal and geometric properties of (TFAs) and (TGs) were compared with that of their corresponding n-alkanes. The following observations were recorded during analysis: firstly, melting points (MPs) of all (TFAs) and (TGs) were found to be higher than (MPs) of corresponding n-alkanes. Secondly, (MPs) of all cis-isomers of fatty acids were found to be lower than (MPs) of their corresponding n-alkanes. Thirdly, the sinusoidal angles between (MPs) of all (TFAs) and (TGs) against their corresponding n-alkanes were found to be directly proportional to (MPs) of their corresponding n-alkanes. Fourthly, (MPs) of all cis-isomers of fatty acids were found to be lower than (MPs) of their corresponding n-alkanes hence, the sinusoidal angles between all cis-isomers against corresponding n-alkanes were found to be undefined or does not exist. Based on the facts listed above, each class of fatty acid found in human serum do exhibit unique thermal properties and obeys Atume’s hypothesis. Consequently, biochemical sensors for medical and industrial analysis can be developed using this novel method.
Stage of Innovation: Proof of Concept (You have created something to show the innovation can work)
Problem:
I am trying to solve a health problem of obesity and accurate food analysis for healthy fats and oil.
Unique Selling Point: Current analytical tools are slow and less accurate.