Diagnostic techniques based on breath samples have been demonstrated in the past, but until now, there has not been scientific proof of the hypothesis that different and unrelated diseases are characterised by distinct chemical breath signatures.
Technologies developed to date for this type of diagnosis have been limited to detecting a small number of clinical disorders, without differentiation between unrelated diseases.
Samples were collected between January 2011 and June 2014 from 14 departments at nine medical centres in five countries: Israel, France, the US, Latvia and China.
Researchers led by Professor Hossam Haick from Technion-Israel Institute of Technology in Israel tested the chemical composition of the breath samples using an accepted analytical method (mass spectrometry), which enabled accurate quantitative detection of the chemical compounds they contained.
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"Each of these diseases is characterised by a unique fingerprint, meaning a different composition of these 13 chemical components," said Haick.
"Just as each of us has a unique fingerprint that distinguishes us from others, each disease has a chemical signature that distinguishes it from other diseases and from a normal state of health. These odour signatures are what enables us to identify the diseases using the technology that we developed," Haick said.
With a new technology called "artificially intelligent nanoarray," developed by Haick, the researchers were able to corroborate the clinical efficacy of the diagnostic technology.