Isotopic and elemental profiling alongside with chemometric methods for vegetable differentiation

Isotopes Environ Health Stud. 2020 Mar;56(1):69-82. doi: 10.1080/10256016.2020.1720672. Epub 2020 Feb 25.

Abstract

In this study, three chemometric models for vegetables growing system (field versus greenhouse), geographical origin and species attribution using stable isotope (δ13C, δ18O, δ2H) and elemental fingerprints of 101 samples (54 squashes and 47 radishes) commercialized on Romanian market were developed. These models were constructed and validated through linear discriminant analysis. Initial validations of 94.4% and 83% were obtained for squash and radish growing systems, respectively, such that one squash and four radish samples declared to be grown in the field were attributed to the greenhouse group. For this purpose, the most powerful differentiation markers appeared to be Sn and δ13C for radishes, and Sn, Cu for squashes. Regarding the vegetable origin, four samples, initially considered to originate from Romania (95% for initial classification) were attributed to the foreign group in the cross-validation procedure (93.1%). Romanian radishes and squashes were characterized by a higher content of Na and Cu, respectively, compared with foreign samples, while the mean values for Zn, Sr, Zr and Co concentrations were found to be higher for the vegetables from abroad.

Keywords: Authentication; Romania; carbon-13; chemometrics; discrimination; hydrogen-2; oxygen-18; radish; squash; vegetables.

MeSH terms

  • Discriminant Analysis
  • Food Analysis / methods*
  • Geography
  • Isotopes / analysis*
  • Mass Spectrometry
  • Minerals / analysis*
  • Romania
  • Vegetables / chemistry*
  • Vegetables / growth & development

Substances

  • Isotopes
  • Minerals