A manual and an automatic TERS based virus discrimination

摘要: Rapid techniques for virus identification are more relevant today than ever. Conventional detection and strategies generally rest upon various microbiological methods genomic approaches, which not suited the analysis of single particles. In contrast, highly sensitive spectroscopic technique tip-enhanced Raman spectroscopy (TERS) allows characterisation biological nano-structures like virions on a single-particle level. this study, feasibility TERS in combination with chemometrics to discriminate two pathogenic viruses, Varicella-zoster (VZV) Porcine teschovirus (PTV), was investigated. first step, chemometric transformed spectral data such way that rapid visual discrimination examined viruses enabled. further these were utilised perform an automatic quality rating measured spectra. Spectra passed test eventually used calculate classification model, through successful viral species based spectra particles also realised accuracy 91%.