Jedinstvena enzimska rešenja za dobijanje proizvoda dodatne vrednosti iz kukuruza UniCorn

Rezultati

Projekat UniCorn rezultati

  • Projekat UniCorn - Konferencija, Turska, 2024

    Projekat UniCorn - Konferencija, Srbija, 2024

    Konferencija "Amplifying Biochemistry Concepts"

    Učešće istraživača projekta UniCorn na XIII konferenciji Srpskog biohemijskog društva pod nazivom „Amplifying Biochemistry Concepts“, održanoj 19-20. septembra 2024. god. u Kragujevcu, Republika Srbija i predstavljanje dela svojih tekućih istraživanja u okviru ovog projekta.
  • Projekat UniCorn - Konferencija, Turska, 2024

    Projekat UniCorn - Konferencija, Turska, 2024

    Konferencija "5th Enzyme and Bioprocess Days"

    Učešće istraživača sa projekta UniCorn na konferenciji 5th Enzyme and Bioprocess Days, koja je održana od 27. do 29. avgusta u Izmiru, Turska. Tokom konferencije, predstaviljen je deo istraživanja, kao i projekat UniCorn koji finansira Fond za nauku Republike Srbije kroz program PRIZMA.
  • Projekat UniCorn - prvi naučni rad

    Projekat UniCorn - prvi naučni rad

    "Jednostavna i brza HPLC metoda za određivanje sastava fruktooligosaharida i ksilooligosaharida dobijenih enzimima filamentoznih gljiva"

    Journal of Food Composition and Analysis 133 (2024) 106459
    Abstract: The growing demand for functional food products, particularly prebiotics, underscores the need for advancements in the production processes and analytics of both conventional and novel oligosaccharides. This study introduces a tailored HPLC-RID method for the detection of two prominent classes of prebiotics: fructooligosaccharides, a well-established group, and xylooligosaccharides, an emerging category. This method is the first described method for the analysis of more than one type of OS, with complete validation, and is preferred due to its ease of use and affordability. Rigorous validation of this method adheres to the International Council on Harmonization guidelines. Five components of FOS and six of XOS were quantified, with LOQ ranging from 0.55 to 1.64 mg/mL for FOS and from 0.16 to 1.00 mg/mL for XOS, and good linearity correlation (R2) 0.9807–0.9994 (FOS) or 0.9884–0.9999 (XOS). The calculated accuracy was in the range: 94.87–100.82 (FOS) or 97.87–105.41 (XOS). The proposed method was validated in successfully detecting and quantifying FOS and XOS samples, even within complex matrices enriched with interfering compounds, including a few food samples. It was confirmed on these samples that the method is fast and simple, as is the preparation of real food samples for the analysis.
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