Molecular modeling and simulation of transition metal-doped molybdenum disulfide biomarkers in exhaled gases for early detection of lung cancer.

Mian, Shabeer Ahmad; Hussain, Akbar; Basit, Abdul; Rahman, Gul; Ahmed, Ejaz; Jang, Joonkyung

Mian, Shabeer Ahmad; Hussain, Akbar; Basit, Abdul; Rahman, Gul; Ahmed, Ejaz; Jang, Joonkyung.

Affiliation

Mian SA; Department of Physics, University of Peshawar, Peshawar, Pakistan. shabeerahmad@uop.edu.pk.
Hussain A; Department of Physics, University of Peshawar, Peshawar, Pakistan.
Basit A; Department of Physics, University of Peshawar, Peshawar, Pakistan.
Rahman G; Institute of Chemical Sciences, University of Peshawar, Peshawar, Pakistan.
Ahmed E; Department of Physics, Abdul Wali Khan University, Mardan, Pakistan.
Jang J; Department of Nano Energy Engineering, Pusan National University, Busan, Republic of Korea. jkjang@pusan.ac.kr.

J Mol Model ; 29(8): 225, 2023 Jul 05.

Article de En | MEDLINE | ID: mdl-37402994

Sujet(s)
Mots clés

Gas sensing response; Gas sensors; Lung cancer diagnosis; Optoelectronic properties; Recovery time; Volatile organic compounds

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Composés organiques volatils / Tumeurs du poumon Type d'étude: Diagnostic_studies / Prognostic_studies / Screening_studies Limites: Humans Langue: En Journal: J Mol Model Sujet du journal: BIOLOGIA MOLECULAR Année: 2023 Type de document: Article Pays d'affiliation: Pakistan Pays de publication: Allemagne

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