Traceability of bilberries (Vaccinium myrtillus L.) of the Baltic-Nordic region using surface-enhanced Raman spectroscopy (SERS): DFT simulation-based DNA analysis

Spectrochim Acta A Mol Biomol Spectrosc. 2023 Mar 5:288:122192. doi: 10.1016/j.saa.2022.122192. Epub 2022 Nov 28.

Abstract

Food traceability is a major issue in the industry. We investigated whether bilberries (Vaccinium myrtillus L.) from 4 different locations within the Baltic-Nordic region could be effectively differentiated using surface-enhanced Raman scattering (SERS) based spectral data and chemometric analyses. Furthermore, we aimed to determine if nucleobase (adenine and cytosine) methylation could be responsible for any observed variation. Our experiment was successful in that both principal component (PCA) and discriminant function analyses (DFA) showed differentiation between bilberry DNA from all 4 geographical regions. Density functional theory (DFT) based simulations allowed us to analyze whether DNA's spectral data dissimilarities may be due to nucleobase methylation. Although results were inconclusive on this, our investigation provides valuable data on simulated versus experimental DNA and DNA component spectra. Further research will be directed towards understanding what other epigenetic changes could be responsible for the observed DNA variation as well as determining the optimal parameters for using DFT simulations in upcoming projects.

Keywords: Chemometrics; DNA; Density functional theory; Food traceability; Methylation; Surface-enhanced Raman spectroscopy.

MeSH terms

  • Computer Simulation
  • DNA / analysis
  • Fruit / chemistry
  • Spectrum Analysis, Raman
  • Vaccinium myrtillus* / chemistry

Substances

  • DNA