@article{KuznetsovFroripSuenteretal.2023, author = {Kuznetsov, Arthur and Frorip, Aleksandr and S{\"u}nter, Alar and Kasvand, Nensi and Korsakov, Vadim and Konoplev, Georgii and Stepanova, Oksana and Rusalepp, Linda and Anton, Dea and P{\"u}ssa, T{\~o}nu and Roasto, Mati and Abramova, Liubov and Kozin, Andrey and Toom, Lauri and Hirsch, S{\"o}ren and Mukhin, Nikolay}, title = {Fast Protein and Metabolites (Nucleotides and Nucleosides) Liquid Chromatography Technique and Chemical Sensor for the Assessment of Fish and Meat Freshness}, series = {Chemosensors}, journal = {Chemosensors}, number = {1/2023 / Band 11}, editor = {mdpi,}, publisher = {MDPI}, issn = {2227-9040}, doi = {10.3390/chemosensors11010069}, pages = {69}, year = {2023}, abstract = {Fast protein and metabolite liquid chromatography (FPLMC) was introduced years ago to enable the easy separation of high-molecular compounds such as proteins from small molecules and the identification of the low-molecular substances. In this paper, the method is applied for the rapid evaluation of freshness and monitoring the aging of animal meat and fish. A novel chromatographic sensor was developed with a deep UV LED-based photometric detection unit (255-265 nm), an original flow cuvette and registration scheme; the processing of a chromatogram with the sensor takes approximately 15 min. Strict isochronism between the elution of ATP metabolites, mainly hypoxanthine (Hx) and inosine monophosphate (IMP), and the time of maturation of meat or fish, was discovered. A new freshness index H* = [Hx]/[IMP] was introduced, which is proportional to the instrumental delay time in the FPMLC chromatograms: the H* index < 0.5 indicates the presence of inosine monophosphate (IMP) and the high quality of the meat or fish. Reasonably strong correlations were revealed between data obtained by FPMLC and total volatile basic nitrogen TVB-N (for fish) or volatile fatty acids VFA (for meat) content. Moreover, putative nucleotide salvage and an increase in the concentration of IMP were observed in fish after heat treatment using the FPMLC sensor and NMR technique.}, language = {en} } @article{KuznetsovFroripSuenteretal.2022, author = {Kuznetsov, Artur and Frorip, Aleksandr and S{\"u}nter, Alar and Korsakov, Vadim and Konoplev, Georgii and Stepanova, Oksana and Roschina, Natalia and Ovsyannikov, Nikolay and Lialin, Daniil and Gerasimchuk, Roman and Dmitriev, Alexander and Mukhin, Nikolay and Hirsch, S{\"o}ren}, title = {Optical Chemical Sensor Based on Fast-Protein Liquid Chromatography for Regular Peritoneal Protein Loss Assessment in End-Stage Renal Disease Patients on Continuous Ambulatory Peritoneal Dialysis}, series = {Chemosensors}, volume = {10}, journal = {Chemosensors}, number = {6}, publisher = {MDPI}, doi = {10.3390/chemosensors10060232}, year = {2022}, language = {en} } @article{KonoplevAgafonovaBakhchovaetal.2022, author = {Konoplev, Georgii and Agafonova, Darina and Bakhchova, Liubov and Mukhin, Nikolay and Kurachkina, Marharyta and Schmidt, Marc-Peter and Verlov, Nikolay and Sidorov, Alexander and Oseev, Aleksandr and Stepanova, Oksana and Kozyrev, Andrey and Dmitriev, Alexander and Hirsch, S{\"o}ren}, title = {Label-Free Physical Techniques and Methodologies for Proteins Detection in Microfluidic Biosensor Structures}, series = {Biomedicines}, volume = {10}, journal = {Biomedicines}, number = {2}, publisher = {MDPI}, issn = {2227-9059}, doi = {10.3390/biomedicines10020207}, pages = {207}, year = {2022}, language = {en} } @article{MukhinKonoplevOseevetal.2021, author = {Mukhin, Nikolay and Konoplev, Georgii and Oseev, Aleksandr and Schmidt, Marc-Peter and Stepanova, Oksana and Kozyrev, Andrey and Dmitriev, Alexander and Hirsch, Soeren}, title = {Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models}, series = {Sensors}, volume = {21}, journal = {Sensors}, number = {7}, publisher = {MDPI}, doi = {10.3390/s21072555}, pages = {2555}, year = {2021}, language = {en} }