Effects of temperature and pH on the growth of H1N1 subtype of influenza A virus by surface-enhanced Raman spectroscopy.

Xiaoxiao Jia; Yun LI; Wenhui Fan; Qinglan Sun; Tiezhong Zhou; Wenjun Lin; Jing LI

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Effects of temperature and pH on the growth of H1N1 subtype of influenza A virus by surface-enhanced Raman spectroscopy.

Author: Xiaoxiao JIA ¹ ; Yun LI ¹ ; Wenhui FAN ¹ ; Qinglan SUN ² ; Tiezhong ZHOU ³ ; Wenjun LIN ¹ ; Jing LI ¹
Author Information

1. Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
2. Network Information Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
3. Liaoning Medical University, Jinzhou 121001, Liaoning, China.
Publication Type:Journal Article
Keywords: PH; SERS; influenza A virus; temperature
MeSH: Gold; Hydrogen-Ion Concentration; Influenza A Virus, H1N1 Subtype; growth & development; Nanoparticles; Spectrum Analysis, Raman; Temperature; Virus Cultivation; methods
From: Chinese Journal of Biotechnology 2016;32(4):447-456
CountryChina
Language:Chinese
Abstract: Surface enhanced Raman spectroscopy technology (SERS), using gold nanoparticles as a base, was developed for rapid and sensitive detection of virus strains. SERS can be used as a rapid and reliable method to distinguish the titers of viral replication. In the present study, we characterized H1N1 subtypes of influenza A virus strains in different conditions of pH or temperatures, while we analyzed data from SERS technology using gold nanoparticles as a base and cell cultures were employed to further confirm the data from virus strains. Origin8.0 was used to collect Raman spectra, smooth and homogenize data, and to contrast spectra. Our results indicated that the peaks of different virus strains in optimal environmental conditions (T=37 ℃/pH=7.2) reached ≥3 000. This criterion was verified by subsequent virological method. The present data indicate that the established SERS protocol can be used as a rapid and reliable method to distinguish the replication rate of virus, which can be further used in clinical samples.