Non-invasive screening tests for preventive healthcare

Holiday testing -using E-TRF to separate enantiomers

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As I had some spare time after the hectic year end I decided to do some tests in our laboratory on things which had bothered me for a while -to check if we can separate enantiomers from each other by using our E-TRF method.

As you may know, in chemistry there exists so called enantiomers, which are like spatial mirror images of the same chemical structure. This is a relatively well known phenomena and in the worst case the counterpart can cause severe damages like happened with Thalidomide medicine late 50’s, which was developed for a treatment to certain diseases but its enantiomer causes harm for the baby in pregnancy (https://en.wikipedia.org/wiki/Thalidomide). This is a really heartbreaking story, and if there was anything good in that, is the fact that since then there has been a much stricter regulation for drug testing and marketing.

Anyhow, as we at Aqsens Health, measure and see things which are not always easy to describe nor repeat using traditional scientific methods like mass spectrometry, so I have started to think what if some of the disease indicators we are seeing are enantiomers? So, I decided to make a quick test in our lab. We ordered Carvone S and R, which are kind of famous since just by smelling it is easy to separate those (https://en.wikipedia.org/wiki/Carvone) as the other one smells like mint and the other one is close to cumin, but for traditional scientific device that is not so easy. So, I ran a 30min test and below you can see results.

 

As you can see, we will get 10 fold signal difference between Carvone R and S, and without any optimization. These are not necessarily groundbreaking results for science itself but eye opening for us and exemplifying how sensitive and flexible E-TRF method is.

So, sometimes a bit of extra time and curiosity can work for your benefit. In our case this quick test may open a new path to explain causality and logic behind E-TRF measurement results in detecting diseases.

 

— Janne, Chief Scientist Officer