For the research, the scientists relied on Raman spectroscopy, a non-destructive chemical analysis technique which is commonly used in research to identify molecules by their unique structural fingerprint.
After additionally applying innovative theoretical models, as well as machine learning, they were able to demonstrate the universal applicability of carbyne as a sensor due to its sensitivity to external influences.