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Area of Science:

  • Food Science
  • Genetics
  • Agricultural Science

Background:

  • Pasta, a globally popular food, is primarily made from durum wheat, with variety selection influencing its characteristics.
  • Authenticating pasta products and detecting fraudulent practices or cross-contamination requires reliable analytical methods for tracking specific durum wheat varieties.
  • Molecular approaches using DNA markers are favored for their ease of use and reproducibility in varietal identification.

Purpose of the Study:

  • To develop and validate a simple sequence repeats (SSR)-based molecular method for identifying durum wheat varieties in pasta and semolina.
  • To assess the method's efficacy in detecting undeclared varieties and cross-contamination in commercial pasta products.

Main Methods:

  • Utilized a simple sequence repeats (SSR)-based DNA profiling technique.
  • Analyzed 25 semolina and commercial pasta samples, comparing their molecular profiles against known durum wheat cultivars.
  • Created and analyzed 27 artificial mixtures to determine the method's limit of detection.

Main Results:

  • All analyzed pasta and semolina samples exhibited their expected molecular profiles.
  • A significant number of samples contained foreign alleles, indicating potential cross-contamination with other durum wheat varieties.
  • The SSR method demonstrated a limit of detection of 5% (w/w) for contaminant varieties.

Conclusions:

  • The developed SSR-based method is effective for identifying undeclared durum wheat varieties in pasta.
  • The method can reliably detect contaminant varieties when present at 5% or higher, aiding in quality control and authenticity verification.