Abstract
Lung cancer prognosis in its early stage has received considerable attention due to its high incidence and mortality rates. This work proposed a novel candidate, Ni-doped MoS2, as a promising biosensor for lung cancer prognosis through exhaled breathe analysis, based on density functional theory (DFT) method. Calculated results indicated that Ni-MoS2 would have desirable adsorption performance towards three typical (volatile organic compounds) VOCs of lung cancer patients, leading to dramatic change in geometric and electronic property of Ni-doped monolayer. These subsequently could cause visible change in conductivity for Ni-MoS2 based bio-devices, giving rise to the sensing mechanism for its real application. In addition, desorption of these gas molecules from the Ni-MoS2 surface could be fulfilled through heating process, due to the determined physisorption in these adsorbing systems, which allows the recyclable use of the biosensors. Our calculations aim at proposing advanced sensing material for experimentalists to exploit potential progress in lung cancer prognosis through exhaled air detection.
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Zhao, G., Li, M. Ni-doped MoS2 biosensor: a promising candidate for early diagnosis of lung cancer by exhaled breathe analysis. Appl. Phys. A 124, 751 (2018). https://doi.org/10.1007/s00339-018-2185-1
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DOI: https://doi.org/10.1007/s00339-018-2185-1