Publications by authors named "M Siol"
This study characterized the quality of hemp oil (HO) and pumpkin seed oil (PO) and their blends before and after 2 and 4 months of storage at refrigerated and room temperature, without access to light and oxygen. The analyses included determining the acid value, peroxide value, fatty acid (FA) composition, and FA distribution in triacylglycerol (TAG) molecules. Pressure differential scanning calorimetry (PDSC) was used to assess the oxidative stability of oils and their blends.
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- The interesterification process modifies the structure of triacylglycerols (TAGs) by replacing saturated fatty acids with healthier monounsaturated and polyunsaturated fatty acids to create structured lipids (SLs).
- The study evaluated the fatty acid profile and oxidative stability of various blends of hemp seed oil and coconut oil, finding that while the ratios of saturated to unsaturated fatty acids remained consistent, the blends exhibited higher acid values than standards.
- Although the oxidation time and overall stability varied based on the oil blend ratio, the results indicated a need for further removal of free fatty acids post-interesterification to enhance the quality and storage stability of the structured lipids made from these oils.
The current investigations were aimed at the determination of the hydrolytic and oxidative stability of commercial pomegranate seed oils provided by four different producers, and to assess the oils' primary quality parameters. During storage, many changes occur in oils that can significantly affect their quality. The oils were tested for acid and peroxide values, fatty acid profile, and their distribution between the -1,3 and -2 positions of triacylglycerols.
View Article and Find Full Text PDFParallel to the important use of pesticides in conventional agriculture there is a growing interest for green technologies to clear contaminated soil from pesticides and their degradation products. Bioaugmentation i. e.
View Article and Find Full Text PDFRapid and repeatable polymorphism analyses have become a necessity with the current amount of genomic data that can be collected in many organisms. Traditionally, such analyses are conducted using a variety of tools in combination, often requiring numerous format translation and manipulation. Here, we present a massively updated version of our previous software package egglib, intended to alleviate such costly and error-prone tinkering with the data.
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