Mounting evidence shows that transmission of the Covid-19 virus often comes as a result of the unintended spreading caused by asymptomatic sufferers of the disease. These people have no indication that they may have contracted the disease, therefore they have no reason to adust their behaviour and self-isolate.
The Roboscientific method of Air Sampling to detect the presence of infected people is a very effective method of finding those 'unconscious spreaders'.
Roboscientific uses its proprietary Volatile Organic Compound (VOC) sensing techology to detect if an indoor space contains a person who is actively infected with the disease.
Volatile Organic Compounds are the chemicals contained within every living organism that are responsible for creating the odours that we give out. We all have distinctive smells - it's what makes us so attractive to dogs. What has been known for a very long time is that any changes to the health of a person cause metabolic changes which generate a change in the VOC digital fingerprint which we give out. Roboscientific has developed a new generation of organic semi-conducting sensors and aligned them with bespoke electronic stimulation to achieve a high level of sensitivity and specificity detecting the changes that indicate the presence of disease. The ability of its analytics means it can also distinguish between the VOC digital fingerprints of different diseases even if they are derived from the same combination of VOC elements.
Recent trials showed that the Roboscientific platform for disease detection, when applied to Covid-19 has the potential to outperform PCR testing, which is not as accurate with low viral loads*
Providing a real-time solution is another benefit of the Roboscientific test as its sensors react only to the metabolic changes caused by the live virus. The metabolic changes are only present when the virus is active in the host, so as well as providing fast easy testing, using automated analysis - the sensors can only react when the virus is infectious - avoiding false negative and false positive results.
Publication
Claire Guest et al. Using trained dogs and organic semi-conducting sensors to identify asymptomatic and mild SARS-CoV-2 infections.