Dataset for Real-time monitoring of attenuated cytomegalovirus using Raman spectroscopy allows non-destructive characterization during flow

We demonstrated the application of Raman spectroscopy to predict the concentration of viral samples in flow conditions. Our study demonstrates that our Raman spectroscopy-based PAT tool can detect cytomegalovirus (CMV) even at high (1000 µm/s) flow conditions. Also, SDS-PAGE and Dynamic light scattering methods confirm the stability of viral particles after laser exposure. In this dataset, we've included the raw and processed data files associated with the manuscript.