Аннотация:Carbohydrates are probably the most common organic substances in nature. Sugars and sugar alcohols play an active role in regulation of growth, photosynthesis, carbon partitioning, carbohydrate and lipid metabolism, osmotic homeostasis, protein synthesis and gene expression during various abiotic stresses. A large number of sugars and polyols have great biological activity not only in relation to microorganisms and plants, but also to the human body. Many kinds of polysaccharides have been reported to have anti-tumor activities. Also, a large number of plants have biological activity for the treatment of diabetes and antioxidant activity due to the presence of these compounds.
The ultrasound assisted extraction method for isolation of 17 sugars and sugar alcohols from coniferous plants with a subsequent hydrophilic interaction chromatography-tandem mass spectrometry method for their determination were developed. The optimization of extraction parameters was carried out using Taguchi Method – L9 (34) orthogonal array experimental design for the following parameters: methanol concentration in the extraction solution, extraction time, type of plant fraction and extraction temperature. The optimal ultrasound assisted extraction conditions were: MeOH concentration – 30 % (water – 70 %), extraction time – 30 min, plant fractional type – II (ground with a blade to the size of needles from 2 to 4 mm), extraction temperature – 60 °C. So, it was shown in the work that using mass spectrometric detection and LC separation amide columns can achieve record low detection limits and excellent analytical characteristics of the method without derivatization. Further, the degree of extraction of analytes from the plant material was determined by multiple successive extraction method to confirm the results. The accuracy for all studied extraction technique and chromatographic separation was confirmed by spiking of the plant material with standards before extraction and HPLC-ESI-MS/MS analysis and the analytical method was validated for linearity, limits of detection, limit of quantification, precision and accuracy.