@ARTICLE\{IMM2016-06949,
    author       = "K. B. Fr{\o}hling and T. S. Alstr{\o}m and M. Bagge and M. S. Schmidt and M. N. Schmidt and J. Larsen and M. H. Jakobsen and A. Boisen",
    title        = "Surface Enhanced Raman Spectroscopic Study of {DNA} and {6-}mercapto-1-hexanol Interactions Using Large Area Mapping",
    year         = "2016",
    month        = "aug",
    keywords     = "Bayesin modelling, {SERS,} area mapping, {DNA,} {6-}mercapto-1-hexanol, thiol, gold, peak-fitting",
    journal      = "Vibrational Spectroscopy",
    volume       = "",
    editor       = "",
    number       = "",
    publisher    = "Elsevier",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/6949-full.html",
    abstract     = "The emergence of {2D} {SERS} substrates with large areas of hot spots has enabled data to be gathered at large
scale. This work presents a statistical tool for analysing large amounts of {SERS} data by utilizing a peakfitting
model in a specific spectral range. By analysing the distributions of Raman intensities and peak
positions it is possible to directly inspect the interplay between {DNA} and {6-}mercapto-1-hexanol on gold covered nanopillars. It is demonstrated that optimised functionalization parameters can be extracted from the Raman spectra directly. Using the peak-fitting approach it is possible to avoid miss-interpretation of intensity histograms, where contamination might contribute with an enhanced background and not a peak."
}