Your browser doesn't support javascript.
loading
Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites.
Bordbar, Mohammad Mahdi; Samadinia, Hosein; Hajian, Ali; Sheini, Azarmidokht; Safaei, Elham; Aboonajmi, Jasem; Arduini, Fabiana; Sharghi, Hashem; Hashemi, Pegah; Khoshsafar, Hosein; Ghanei, Mostafa; Bagheri, Hasan.
  • Bordbar MM; Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Samadinia H; Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Hajian A; Institute of Sensor and Actuator Systems, TU Wien, Gusshausstrasse 27-29, 1040 Vienna, Austria.
  • Sheini A; Department of Mechanical Engineering, Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz, Dashte Azadegan, Khuzestan, Iran.
  • Safaei E; Department of Chemistry, College of Sciences, Shiraz University, Shiraz, Iran.
  • Aboonajmi J; Department of Chemistry, College of Sciences, Shiraz University, Shiraz, Iran.
  • Arduini F; Department of Chemical Science and Technologies, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy.
  • Sharghi H; Department of Chemistry, College of Sciences, Shiraz University, Shiraz, Iran.
  • Hashemi P; Research and Development Department, Farin Behbood Tashkhis LTD, Tehran, Iran.
  • Khoshsafar H; Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Ghanei M; Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Bagheri H; Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Sens Actuators B Chem ; 369: 132379, 2022 Oct 15.
Article en En | MEDLINE | ID: mdl-35855726

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article