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Fast Protein and Metabolites (Nucleotides and Nucleosides) Liquid Chromatography Technique and Chemical Sensor for the Assessment of Fish and Meat Freshness

  • 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 andFast 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.show moreshow less

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Metadaten
Author:Arthur Kuznetsov, Aleksandr Frorip, Alar Sünter, Nensi Kasvand, Vadim Korsakov, Georgii Konoplev, Oksana Stepanova, Linda Rusalepp, Dea Anton, Tõnu Püssa, Mati Roasto, Liubov Abramova, Andrey Kozin, Lauri Toom, Sören Hirsch, Nikolay Mukhin
URL:https://www.mdpi.com/2227-9040/11/1/69
DOI:https://doi.org/10.3390/chemosensors11010069
ISSN:2227-9040
Parent Title (English):Chemosensors
Publisher:MDPI
Editor: mdpi
Document Type:Article
Language:English
Year of Publishing:2023
Date of Publication (online):2023/12/12
Publishing Institution:Technische Hochschule Brandenburg
Release Date:2023/12/13
Issue:1/2023 / Band 11
Page Number:69
Institutes:Fachbereich Technik
University Bibliography:Hochschulbibliografie
Licence (German):Creative Commons - CC BY - Namensnennung 4.0
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