ABSTRACT
Abstract In this study, we aim to determine the shelf life of dried and ready to use-powdered soup samples obtained from different types of fish species such as Rainbow trout (Oncorhynchus mykiss), sea bream (Sparusaurata L.) and sea bass (Dicentrarchuc labrax). For this purpose, the chemical (moisture, protein, fat, carbohydrate, ash, pH, Thiobarbituric acid (TBA), Total volatile basic nitrogen (TVB-N), microbiological (total mesophilic aerobic bacteria, total yeast and mold, total coliform, Staphylococcus spp. and Salmonella spp.) and sensory properties of fish soup samples were determined during 6-month storage period. The pH, TBA and TVB-N values of all samples increased during the storage period, but these values were within the consumption limits. Additionally, the microbiological properties of all fish soup samples were found within the consumption limits during storage. As a result, a product has been obtained with high nutritional value and rich with regard to protein, oil, and minerals by adding the fish meat to soup samples. It has been determined that the product quality and shelf life significantly increased by using the boiled product for the production of soup samples.
Subject(s)
Thiobarbiturates/analysis , Soups , Food Storage/standards , Fishes , Nitrogen/analysisABSTRACT
Objective T o analyze the relationship am ong electrical conductivity (E C ), total volatile basic nitrogen (T V B-N ), w hich is an index of decom position rate for m eat production, and postm ortem inter-val (PM I). T o explore the feasibility of E C as an index of cadaveric skeletal m uscle decom position rate and lay the foundation for PM I estim ation. Methods H ealthy Sprague-D aw ley rats w ere sacrificed by cervical vertebrae dislocation and kept at 28℃. M uscle of rear lim bs w as rem oved at different PM I, ho-m ogenized in deionized w ater and then skeletal extraction liquid of m ass concentration 0.1 g/m L w as prepared. E C and T V B-N of extraction liquid w ere separately determ ined. T he correlation betw een E C (x1) and T V B-N (x2) w as analyzed, and their regression function w as established. T he relationship be-tw een PM I (y) and these tw o param eters w ere studied, and their regression functions w ere separately established. Results T he change trends of E C and T V B-N of skeletal extraction liquid at different PM I w ere alm ost the sam e, and there w as a linear positive correlation betw een them . T he regression equation w as x2=0.14 x1-164.91 (R2=0.982). E C and T V B-N of skeletal m uscle changed significantly w ith PM I, and the regression functions w ere y=19.38 x13-370.68 x12+2526.03 x1-717.06 (R2=0.994), and y=2.56 x23-48.39 x22+330.60 x2-255.04 (R2=0.997), respectively. Conclusion E C and T V B-N of rat postm ortem skeletal m uscle show sim ilar change trends, w hich can be used as an index for decom position rate of cadaveric skeletal m uscle and provide a m ethod for further study of late PM I estim ation.
ABSTRACT
OBJECTIVES@#To analyze the relationship among electrical conductivity （EC）, total volatile basic nitrogen （TVB-N）, which is an index of decomposition rate for meat production, and postmortem interval （PMI）. To explore the feasibility of EC as an index of cadaveric skeletal muscle decomposition rate and lay the foundation for PMI estimation.@*METHODS@#Healthy Sprague-Dawley rats were sacrificed by cervical vertebrae dislocation and kept at 28 ℃. Muscle of rear limbs was removed at different PMI, homogenized in deionized water and then skeletal extraction liquid of mass concentration 0.1 g/mL was prepared. EC and TVB-N of extraction liquid were separately determined. The correlation between EC (x₁) and TVB-N (x₂) was analyzed, and their regression function was established. The relationship between PMI (y) and these two parameters were studied, and their regression functions were separately established.@*RESULTS@#The change trends of EC and TVB-N of skeletal extraction liquid at different PMI were almost the same, and there was a linear positive correlation between them. The regression equation was x₂=0.14x₁-164.91(R²=0.982). EC and TVB-N of skeletal muscle changed significantly with PMI, and the regression functions were y=19.38x₁³-370.68x₁²+2 526.03 x₁-717.06(R²=0.994), and y=2.56x₂³-48.39x₂²+330.60x₂-255.04(R²=0.997), respectively.@*CONCLUSIONS@#EC and TVB-N of rat postmortem skeletal muscle show similar change trends, which can be used as an index for decomposition rate of cadaveric skeletal muscle and provide a method for further study of late PMI estimation.