Estimation of Chemical Composition of Pork Trimmings by Use of Density Measurement—Hydrostatic Method

This study aims to determine the possibility of using density measurements by using the hydrostatic method for the estimation of the chemical composition of pork. The research material included 75 pork samples obtained during industrial butchering and cutting. The density measurements were performed...

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Main Authors: Lech Adamczak, Marta Chmiel, Tomasz Florowski, Dorota Pietrzak
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/25/7/1736
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author Lech Adamczak
Marta Chmiel
Tomasz Florowski
Dorota Pietrzak
author_facet Lech Adamczak
Marta Chmiel
Tomasz Florowski
Dorota Pietrzak
author_sort Lech Adamczak
collection DOAJ
description This study aims to determine the possibility of using density measurements by using the hydrostatic method for the estimation of the chemical composition of pork. The research material included 75 pork samples obtained during industrial butchering and cutting. The density measurements were performed using the hydrostatic method based on Archimedes’ principle. The meat samples were minced, and the content of the basic chemical components in them was determined. The usefulness of density measurement using the hydrostatic method in chemical composition estimation was determined by analyzing the correlation for the entire population, and after grouping the samples with a low (<15%), medium (15–25%), and high (>25%) fat content. High (in absolute value) coefficients of correlation between the meat density and the content of water (0.96), protein (0.94), and fat (−0.96) were found based on the results obtained. In order to achieve higher accuracy of the estimation, the applied regression equations should be adjusted to the presumed fat content in the meat. The standard error of prediction (SEP) values ranged from 0.67% to 2.82%, which indicates that the calculated estimation accuracy may be sufficient for proper planning of the production. Higher SEP values were found in fat content estimation and the lowest ones were found in protein content estimation.
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spelling doaj.art-410a165df6a246faa6fa09d54517ff062023-11-19T21:09:25ZengMDPI AGMolecules1420-30492020-04-01257173610.3390/molecules25071736Estimation of Chemical Composition of Pork Trimmings by Use of Density Measurement—Hydrostatic MethodLech Adamczak0Marta Chmiel1Tomasz Florowski2Dorota Pietrzak3Division of Meat Technology, Department of Food Technology, Faculty of Food Sciences, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, PolandDivision of Meat Technology, Department of Food Technology, Faculty of Food Sciences, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, PolandDivision of Meat Technology, Department of Food Technology, Faculty of Food Sciences, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, PolandDivision of Meat Technology, Department of Food Technology, Faculty of Food Sciences, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, PolandThis study aims to determine the possibility of using density measurements by using the hydrostatic method for the estimation of the chemical composition of pork. The research material included 75 pork samples obtained during industrial butchering and cutting. The density measurements were performed using the hydrostatic method based on Archimedes’ principle. The meat samples were minced, and the content of the basic chemical components in them was determined. The usefulness of density measurement using the hydrostatic method in chemical composition estimation was determined by analyzing the correlation for the entire population, and after grouping the samples with a low (<15%), medium (15–25%), and high (>25%) fat content. High (in absolute value) coefficients of correlation between the meat density and the content of water (0.96), protein (0.94), and fat (−0.96) were found based on the results obtained. In order to achieve higher accuracy of the estimation, the applied regression equations should be adjusted to the presumed fat content in the meat. The standard error of prediction (SEP) values ranged from 0.67% to 2.82%, which indicates that the calculated estimation accuracy may be sufficient for proper planning of the production. Higher SEP values were found in fat content estimation and the lowest ones were found in protein content estimation.https://www.mdpi.com/1420-3049/25/7/1736densityhydrostatic methodchemical compositionporkquality
spellingShingle Lech Adamczak
Marta Chmiel
Tomasz Florowski
Dorota Pietrzak
Estimation of Chemical Composition of Pork Trimmings by Use of Density Measurement—Hydrostatic Method
Molecules
density
hydrostatic method
chemical composition
pork
quality
title Estimation of Chemical Composition of Pork Trimmings by Use of Density Measurement—Hydrostatic Method
title_full Estimation of Chemical Composition of Pork Trimmings by Use of Density Measurement—Hydrostatic Method
title_fullStr Estimation of Chemical Composition of Pork Trimmings by Use of Density Measurement—Hydrostatic Method
title_full_unstemmed Estimation of Chemical Composition of Pork Trimmings by Use of Density Measurement—Hydrostatic Method
title_short Estimation of Chemical Composition of Pork Trimmings by Use of Density Measurement—Hydrostatic Method
title_sort estimation of chemical composition of pork trimmings by use of density measurement hydrostatic method
topic density
hydrostatic method
chemical composition
pork
quality
url https://www.mdpi.com/1420-3049/25/7/1736
work_keys_str_mv AT lechadamczak estimationofchemicalcompositionofporktrimmingsbyuseofdensitymeasurementhydrostaticmethod
AT martachmiel estimationofchemicalcompositionofporktrimmingsbyuseofdensitymeasurementhydrostaticmethod
AT tomaszflorowski estimationofchemicalcompositionofporktrimmingsbyuseofdensitymeasurementhydrostaticmethod
AT dorotapietrzak estimationofchemicalcompositionofporktrimmingsbyuseofdensitymeasurementhydrostaticmethod