Scientists have found a way to preserve donor organs longer

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It becomes clear that the more organs are available for transplantation, the more patients needing transplantation can help – however, current techniques for the preservation of donor organs cannot fully cope with the task of destroying the bacteria and viruses that are in them and which contribute degradation of their tissues. However, this is precisely why a talented team of specialists from the University of Toronto presented their new research on testing organs for longer periods through the use of photosensitive cells and light rays in order to destroy the notorious viruses and bacteria.

Initially, the technical process begins with the traditional perfusion process already in the field of transplantation, when a special solution of a non-toxic property is implanted into the blood plasma of a donor organ, allowing it to preserve the state of tissues and blood in the donor organ as long as possible. However, this does not negate the need for patients to use antibiotics even after a long time after a successful transplant and implantation of an organ.

And here begins the second innovative process – a special experimental compound is added to the perfusion solution, whose molecules are highly sensitive to light. Then the specialists act on them with light rays of a certain spectrum and frequency to start the process of oxidation of bacteria and viruses – and this process does not allow them to get the compounds necessary for life support and reproduction, and therefore they die much faster than from antibiotics used by this day.

In particular, the scientists were able to achieve the most optimal indicator of the effect of the light beam on these molecules, at which oxidation is the fastest and safest – this indicator was 660 nm. It is worth noting that further research and analysis of the constituent factors is necessary in order to better determine all the features and aspects associated with more efficient destruction of bacteria, which may further influence the experiment.

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