Your browser doesn't support javascript.
A Nonclinical Spectroscopic Approach for Diagnosing Covid-19: A Concise Perspective.
Mir, J M; Khan, M W; Shalla, A H; Maurya, R C.
  • Mir JM; Department of Chemistry, Islamic University of Science and Technology-Awantipora, J&K, Awantipora, 192122 India.
  • Khan MW; Coordination, Metallopharmaceutical and Computational Chemistry Laboratory, Department of PG Studies and Research in Chemistry and Pharmacy, RD University, Jabalpur, MP India.
  • Shalla AH; Coordination, Metallopharmaceutical and Computational Chemistry Laboratory, Department of PG Studies and Research in Chemistry and Pharmacy, RD University, Jabalpur, MP India.
  • Maurya RC; Department of Chemistry, Islamic University of Science and Technology-Awantipora, J&K, Awantipora, 192122 India.
J Appl Spectrosc ; 88(4): 765-771, 2021.
Article in English | MEDLINE | ID: covidwho-1404659
ABSTRACT
With the COVID-19 outbreak, many challenges are posed before the scientific world to curb this pandemic. The diagnostic testing, treatment, and vaccine development for this infection caught the scientific community's immediate attention. Currently, despite the global proliferation of COVID-19 vaccination, the specific treatment for this disease is yet unknown. Meanwhile, COVID-19 detection or diagnosis using polymerase chain reaction (PCR)-based me hods is expensive and less reliable. Moreover, this technique needs much time to furnish the results. Thus, the elaboration of a highly sensitive and fast method of COVID-19 diagnostics is of great importance. The spectroscopic approach is herein suggested as an efficient detection methodology for COVID-19 diagnosis, particularly Raman spectroscopy, infrared spectroscopy, and mass spectrometry.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Topics: Vaccines Language: English Journal: J Appl Spectrosc Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Topics: Vaccines Language: English Journal: J Appl Spectrosc Year: 2021 Document Type: Article