Unique enzyme solutions for obtaining products of added value from cornUniCorn

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Projekat UniCorn results

  • Projekat UniCorn - Konferencija, Turska, 2024

    UniCorn project - Conference, Serbia, 2024

    Conference "Amplifying Biochemistry Concepts"

    The participation of UniCorn project researchers at the XIII conference of the Serbian Biochemical Society entitled "Amplifying Biochemistry Concepts", held on 19-20 September 2024 in Kragujevac, Republic of Serbia and presenting part of his ongoing research within this project.
  • Projekat UniCorn - Konferencija, Turska, 2024

    UniCorn project - Conference, Turkey, 2024

    Conference "5th Enzyme and Bioprocess Days"

    Participation of researchers from the UniCorn project at the 5th Enzyme and Bioprocess Days conference, which was held from August 27 to 29 in Izmir, Turkey. During the conference, part of the research was presented, as well as the UniCorn project, financed by the Science Fund of the Republic of Serbia through the PRIZMA program.

  • UniCorn project - The first scientific paper

    "A Simple and Fast HPLC Method for Determining the Composition of Fructooligosaccharides and Xylooligosaccharides Obtained by Fungal Enzymes"

    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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