The device is based on a metal organic frame which is printed on a sensor based on graphene and a metal organized using 3D printing. It can define methanol vapors at 50 parts concentrations per billion – this is significantly sensitive to traditional methods.
Initially, the device almost did not distinguish ethanol and methanol, but AI’s connection solved the problem. The machine learning algorithm made it possible to distinguish methanol vapors from ethanol even with mixed concentrations specific to human breathing.
This is particularly important, especially in countries with low income levels – methanol toxicity and diagnosis and complexity. Development can become a reliable and cheap method for the prevention of primary diagnosis and fatal poisoning with a proxy alcohol.
Source: Ferra
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