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International Journal of Food Properties | 2012

Possibilities of Using Electrical Parameters of Milk for Assessing its Adulteration with Water

Joanna K. Banach; Ryszard Żywica; Jerzy Szpendowski; Katarzyna Kiełczewska

This manuscript presents results of a research aimed at conducting a statistical analysis of correlation between the percentage addition of water to milk and its electrical parameters, which are used to determine the degree of milk dilution and the level of milk adulteration with water. The results of milk conductivity parameters analysed in the study showed admittance and conductance to decrease systematically with water addition from ca. 10.8 to 7.8 mS. In contrast, impedance and resistance values were observed to increase from ca. 91 to 128 Ω. Results of the measurements of capacitance parameters showed that with an increasing content of distilled water in milk the value of equivalent parallel capacitance was decreasing from 1.4 to 0.65 μF. In turn, along with water content increasing to 15%, the value of equivalent series capacitance was increased from 212 to 237 μF. Still, at water content of milk exceeding 15%, the value of that parameter remained unchanged. The statistical analysis demonstrated a close linear correlation (0.989 ≤ r ≤ 0.998) between the percentage of water added to the milk and electrical parameters of impedance, resistance, admittance, conductance, as well as equivalent parallel capacitance of milk.


International Journal of Food Properties | 2008

Influence of Variety, Moisture Content, Kernel Size and Applied Current Frequency on the Electric Properties of Wheat Grain

Katarzyna Majewska; Joanna K. Banach; Ryszard Żywica; Ireneusz Białobrzewski

The work aimed at determination of electric properties of wheat grain in dependence on its variety, moisture, geometrical features of kernels and applied current frequency. Wheat grain of 4 Polish winter varieties: Korweta, Juma, Mikon and Kobra from harvest 2001 were used as the material for study. Grain was sized into 3 fractions: (1) > 2,8mm, (2) 2,5–2,8mm, and (3) 2,2–2,5mm. Basic geometrical features were determined for not sorted grain (control sample) and its three fractions by the use of digital image analysis. Electric properties of grain (at 11% and 15% moisture content) have been performed with the Hewlett Packard 4263B meter. Measurements of impedance, resistance, admittance, conductance, as well as equivalent parallel capacitance and equivalent series capacitance were made. Obtained results were subjected to statistical analysis with the use of Statistica™ programme. Changes in electric properties of grain significantly depended on all of studied factors. Most of all significant correlations appeared between geometrical features and studied electric properties of grain of 15% moisture. Statistical analysis of the results proved significant linear correlations between electric properties of kernels and their length, perimeter and circularity coefficient RC2 at higher measurement frequencies.


International Journal of Food Properties | 2018

Linear correlation between pH value of stimulated beef and electrical current intensity

Ryszard Żywica; Monika Modzelewska-Kapituła; Joanna K. Banach; Katarzyna Tkacz

ABSTRACT The aim of the present study was to determine mathematical relationships between pH changes in beef 24 h post-slaughter and changes in the intensity of electrical current flowing through bull and heifer carcasses during high-voltage electrical stimulation. The electrical stimulation was applied 40 min postmortem for 120 s. The pH values of m. longissimus thoracis et lumborum were analyzed in the function of electrical current intensity changes and its change during electrical stimulation. Mathematical linear correlations of the y = ax ± b type were demonstrated between pH values at 2, 6, and 24 h postmortem and the initial (Ii) and ultimate (Iu) electrical current intensity values, the difference between them and the initial pH values determined before electrical stimulation. High multiple correlation coefficients (R2 = 0.416, α ≤ 0.001) between Iu and pH values 24 h post-slaughter enabled concluding that there is a possibility to predict a pH value of stimulated carcass with high accuracy, and thus also beef quality, based merely on the ultimate electrical current intensity values.


Journal of Food Engineering | 2005

Application of food products electrical model parameters for evaluation of apple purée dilution

Ryszard Żywica; Grażyna Pierzynowska-Korniak; Joanna Wójcik


Journal of Food Engineering | 2012

An attempt of applying the electrical properties for the evaluation of milk fat content of raw milk

Ryszard Żywica; Joanna K. Banach; Katarzyna Kiełczewska


European Food Research and Technology | 2003

Electric properties of apple purée and pulpy apple juices

Grażyna Pierzynowska-Korniak; Ryszard Żywica; Joanna Wójcik


Journal of Food Engineering | 2010

The effect of electrical stimulation and freezing on electrical conductivity of beef trimmed at various times after slaughter.

Joanna K. Banach; Ryszard Żywica


Journal of Food Engineering | 2012

Studies on determination of mathematical relationships between rapeseed oil content and electrical properties of butter and fat mixes

Joanna K. Banach; Ryszard Żywica; Iwona Nieradko; Bogusław Staniewski


Journal of Food Engineering | 2015

Simple linear correlation between concentration and electrical properties of apple juice

Ryszard Żywica; Joanna K. Banach


Journal of Food Engineering | 2007

Analysis of changes in electric current intensity during high voltage electrical stimulation in the aspect of predicting the pH value of beef

Ryszard Żywica; Joanna K. Banach

Collaboration


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Joanna K. Banach

University of Warmia and Mazury in Olsztyn

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Katarzyna Tkacz

University of Warmia and Mazury in Olsztyn

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Monika Modzelewska-Kapituła

University of Warmia and Mazury in Olsztyn

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Adam Więk

University of Warmia and Mazury in Olsztyn

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Bogusław Staniewski

University of Warmia and Mazury in Olsztyn

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Katarzyna Kiełczewska

University of Warmia and Mazury in Olsztyn

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Iwona Zadroga

University of Warmia and Mazury in Olsztyn

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Grażyna Pierzynowska-Korniak

University of Warmia and Mazury in Olsztyn

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Iwona Nieradko

University of Warmia and Mazury in Olsztyn

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Jerzy Szpendowski

University of Warmia and Mazury in Olsztyn

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