Molecular modeling and simulation of transition metal–doped molybdenum disulfide biomarkers in exhaled gases for early detection of lung cancer-Reference-Cited by-同舟云学术

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

Published:2023-07-05 Issue:8 Volume:29 Page:
ISSN:1610-2940
Container-title:Journal of Molecular Modeling
language:en
Short-container-title:J Mol Model

Author:

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

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Catalysis

Link

https://link.springer.com/content/pdf/10.1007/s00894-023-05638-w.pdf

Reference70 articles.

1. Altintas Z, Tothill I (2013) Biomarkers and biosensors for the early diagnosis of lung cancer. Sens Actuators B 188:988–998

2. Huo D et al (2014) A novel optical chemical sensor based AuNR-MTPP and dyes for lung cancer biomarkers in exhaled breath identification. Sens Actuators B 199:446–456

3. Tran VH et al (2010) Breath analysis of lung cancer patients using an electronic nose detection system. IEEE Sens J 10(9):1514–1518

4. Phillips M (1992) Breath tests in medicine. Sci Am 267(1):74–79

5. Henschke CI, Yip R, Yankelevitz DF (2009) CT screening for lung cancer: update 2008. Haigan 49(4):477–490

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