Principal component analysis based methodology to distinguish protein SERS spectra

Gobind Das*, F. Gentile, M. L. Coluccio, A. M. Perri, A. Nicastri, F. Mecarini, G. Cojoc, P. Candeloro, Carlo Liberale, F. De Angelis, Enzo Di Fabrizio

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

Surface-enhanced Raman scattering (SERS) substrates were fabricated using electro-plating and e-beam lithography techniques. Nano-structures were obtained comprising regular arrays of gold nanoaggregates with a diameter of 80 nm and a mutual distance between the aggregates (gap) ranging from 10 to 30 nm. The nanopatterned SERS substrate enabled to have better control and reproducibility on the generation of plasmon polaritons (PPs). SERS measurements were performed for various proteins, namely bovine serum albumin (BSA), myoglobin, ferritin, lysozyme, RNase-B, α-casein, α-lactalbumin and trypsin. Principal component analysis (PCA) was used to organize and classify the proteins on the basis of their secondary structure. Cluster analysis proved that the error committed in the classification was of about 14%. In the paper, it was clearly shown that the combined use of SERS measurements and PCA analysis is effective in categorizing the proteins on the basis of secondary structure.

Original languageEnglish (US)
Pages (from-to)500-505
Number of pages6
JournalJournal of Molecular Structure
Volume993
Issue number1-3
DOIs
StatePublished - May 3 2011

Keywords

  • Conformational analysis
  • Principal component analysis
  • Proteins
  • SERS

ASJC Scopus subject areas

  • Analytical Chemistry
  • Spectroscopy
  • Organic Chemistry
  • Inorganic Chemistry

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