Jolanta Wawrzyniak | Poznan University of Life Sciences (original) (raw)
Papers by Jolanta Wawrzyniak
Algorithms, Sep 8, 2023
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Acta Agrophysica, Dec 18, 2016
Inżynieria Rolnicza, 2007
Food and Bioprocess Technology, Jan 9, 2021
Postharvest preservation and storage have a crucial impact on the technological quality and safet... more Postharvest preservation and storage have a crucial impact on the technological quality and safety of grain. The important threat to stored grain quality and nutritional safety of cereal products is mould development and their toxic metabolites, mycotoxins. Models based on predictive microbiology, which are able to estimate the kinetics of fungal growth, and thus, the risks of mycotoxin accumulation in a mass of grain are promising prognostic tools that can be applied in postharvest management systems. The study developed a modelling approach to describe total fungal growth in barley ecosystems stored at different temperatures (T = 12-30°C) and water activity in grain (a w = 0.78-0.96). As the pattern of fungal growth curves was sigmoidal, the experimental data were modelled using the modified Gompertz equation, in which constant coefficients reflecting biological parameters of mould development (i.e. lag phase duration (τ lag), maximum growth rate (μ max) and the maximum increase in fungal population level (Δ max log(CFU)) were expressed as functions of storage conditions, i.e. a w and T. The criteria used to evaluate the overall model performance indicated its good precision (R 2 = 0.95; RMSE = 0.23) and high prediction accuracy (bias factor and accuracy factor B f = 1.004, A f = 1.035). The formulated model is able to estimate the extension of fungal contamination in a bulk of grain versus time by monitoring temperature and intergranular relative humidity that are readily measurable in practice parameters; therefore, it may be used as a prognostic support tool in modern postharvest management systems.
Acta Scientiarum Polonorum. Technologia Alimentaria, Dec 30, 2005
The cyclic voltammetric method, which is based on the redox properties of ascorbic acid, was adop... more The cyclic voltammetric method, which is based on the redox properties of ascorbic acid, was adopted to determine the concentration of vitamin C in apple juices. Recorded on voltammograms, the oxidation current of ascorbic acid was linearly dependent on the ascorbic acid concentration (a linear calibration curve was found in the range of up to 150 mg ascorbic acid/100 cm 3 solution). The standard addition technique was used to determine the ascorbic acid concentration. To verify results, the titrimetric method was used. Differences between concentrations of vitamin C determined using the cyclic voltammetric and titrimetric methods are lower than 1 mg (in comparison to concentrations of ascorbic acid about 50 mg/100 cm 3 of juice). The method-easy for automation-can be used directly without special preparation of studied apple juices samples before measurement of the vitamin C concentration.
Acta Scientiarum Polonorum, Dec 30, 2018
Background. The quality of rapeseed oil depends to a considerable degree on raw material quality.... more Background. The quality of rapeseed oil depends to a considerable degree on raw material quality. Negligence in maintaining the appropriate conditions during long-term rapeseed storage (excessively high humidity and temperature) may contribute to a deterioration of seed quality, as a result of microbial growth and changes in native antioxidant contents. The aim of this study was to investigate the effect of inappropriate storage conditions on changes in sinapic acid derivative content, which is the main phenolic compound in rapeseeds. Material and methods. The material used for tests was canola cv. PR 46 W14. Seeds with a 13.5% moisture content were stored for 21 days in a thermo-hygrostat chamber, ensuring rapeseed storage under constant humidity and temperature conditions. In this study, the level of mould fungi was analysed using the plate method, while those of sinapic acid derivatives were determined using the HPLC-DAD method. Results. Intensive growth of mould fungi in the rapeseeds was observed after 6 days of storage. Changes were recorded in sinapic acid derivative contents, which are the main phenolic compounds in rapeseed. The level of phenolic compounds found in the bound form (sinapin; sinapic acid methyl ester; 1,2-disinapoyldihexoside; 1,2-disinapoyl-hexoside and 1,2,2'-trisinapoyl-dihexoside) decreased. At the same time, an increase was recorded in trans-sinapic acid content (by 63%). Conclusion. Both qualitative and quantitative changes in phenolic compounds may be connected with the development of fungal microflora in stored rapeseeds. Only adequate storage conditions for the oil raw material, such as rapeseeds, may ensure good quality in the final product, in this case, rapeseed oil.
Sensors, Jan 22, 2023
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Foods, Jan 22, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Sensors, Dec 19, 2020
This paper endeavors to evaluate rapeseed samples obtained in the process of storage experiments ... more This paper endeavors to evaluate rapeseed samples obtained in the process of storage experiments with different humidity (12% and 16% seed moisture content) and temperature conditions (25 and 30 • C). The samples were characterized by different levels of contamination with filamentous fungi. In order to acquire graphic data, the analysis of the morphological structure of rapeseeds was carried out with the use of microscopy. The acquired database was prepared in order to build up training, validation, and test sets. The process of generating a neural model was based on Convolutional Neural Networks (CNN), Multi-Layer Perceptron Networks (MLPN), and Radial Basis Function Networks (RBFN). The classifiers that were compared were devised on the basis of the environments Tensorflow (deep learning) and Statistica (machine learning). As a result, it was possible to achieve the lowest classification error of 14% for the test set, 18% classification error for MLPN, and 21% classification error for RBFN, in the process of recognizing mold in rapeseed with the use of CNN.
Agriculture, Nov 22, 2020
Artificial neural networks (ANNs) constitute a promising modeling approach that may be used in co... more Artificial neural networks (ANNs) constitute a promising modeling approach that may be used in control systems for postharvest preservation and storage processes. The study investigated the ability of multilayer perceptron and radial-basis function ANNs to predict fungal population levels in bulk stored rapeseeds with various temperatures (T = 12-30 • C) and water activity in seeds (a w = 0.75-0.90). The neural network model input included a w , temperature, and time, whilst the fungal population level was the model output. During the model construction, networks with a different number of hidden layer neurons and different configurations of activation functions in neurons of the hidden and output layers were examined. The best architecture was the multilayer perceptron ANN, in which the hyperbolic tangent function acted as an activation function in the hidden layer neurons, while the linear function was the activation function in the output layer neuron. The developed structure exhibits high prediction accuracy and high generalization capability. The model provided in the research may be readily incorporated into control systems for postharvest rapeseed preservation and storage as a support tool, which based on easily measurable on-line parameters can estimate the risk of fungal development and thus mycotoxin accumulation.
International Journal of Molecular Sciences
The introduction of the notion of energy change resulting from the ion exchange in apatites leads... more The introduction of the notion of energy change resulting from the ion exchange in apatites leads to the question: how can some simple isomorphic series be described using the mentioned idea? We concentrated on the simple isomorphic series of compounds: apatite, bioapatite, calcite, aragonite, celestine, K-, Zn- and Cu-Tutton’s salts. It was demonstrated in all the series, except Tutton’s salts, that the change in energy and the change in the crystal cell volume are, in a simple way, dependent on the change in the ionic radii of the introduced ions. The linear relationships between the variations in energy and in the universal crystallographic dimension d were derived from the earlier equations and proven based on available data. In many cases, except the Tutton’s salts, linear dependence was discovered between the change in energy and the sinus of universal angle Θ, corresponding to the change in momentum transfer. In the same cases, linear dependencies were observed between the en...
Fourteenth International Conference on Digital Image Processing (ICDIP 2022), Oct 12, 2022
![Research paper thumbnail of Changes in contents of phenolic compounds (sinapic acid derivatives) in seeds of Brassica napus L.under adverse storage conditions [pdf]](https://attachments.academia-assets.com/119961747/thumbnails/1.jpg)
](Acta Scientiarum Polonorum, Dec 30, 2018
Background. The quality of rapeseed oil depends to a considerable degree on raw material quality.... more Background. The quality of rapeseed oil depends to a considerable degree on raw material quality. Negligence in maintaining the appropriate conditions during long-term rapeseed storage (excessively high humidity and temperature) may contribute to a deterioration of seed quality, as a result of microbial growth and changes in native antioxidant contents. The aim of this study was to investigate the effect of inappropriate storage conditions on changes in sinapic acid derivative content, which is the main phenolic compound in rapeseeds. Material and methods. The material used for tests was canola cv. PR 46 W14. Seeds with a 13.5% moisture content were stored for 21 days in a thermo-hygrostat chamber, ensuring rapeseed storage under constant humidity and temperature conditions. In this study, the level of mould fungi was analysed using the plate method, while those of sinapic acid derivatives were determined using the HPLC-DAD method. Results. Intensive growth of mould fungi in the rapeseeds was observed after 6 days of storage. Changes were recorded in sinapic acid derivative contents, which are the main phenolic compounds in rapeseed. The level of phenolic compounds found in the bound form (sinapin; sinapic acid methyl ester; 1,2-disinapoyldihexoside; 1,2-disinapoyl-hexoside and 1,2,2'-trisinapoyl-dihexoside) decreased. At the same time, an increase was recorded in trans-sinapic acid content (by 63%). Conclusion. Both qualitative and quantitative changes in phenolic compounds may be connected with the development of fungal microflora in stored rapeseeds. Only adequate storage conditions for the oil raw material, such as rapeseeds, may ensure good quality in the final product, in this case, rapeseed oil.
Journal of the American Oil Chemists' Society, Mar 17, 2011
Molecules, Apr 10, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Journal of the American Oil Chemists' Society, Apr 24, 2012
The effect of temperature (25 or 35°C) and moisture content (10, 12.5, 15.5 %) on rapeseed phytos... more The effect of temperature (25 or 35°C) and moisture content (10, 12.5, 15.5 %) on rapeseed phytosterol degradation was examined for 18 days. Statistical analysis showed that temperature, moisture and time of storage have a significant effect on phytosterol degradation. After 18 days of seed storage at a temperature of 25 and 30°C losses of these compounds amounted to 11 and 13 % in seeds with moisture contents of 10, 12 and 16 % in seeds with a moisture content of 12.5 %, while they were 24 and 58 % in seeds with a moisture content of 15.5 %. Among all the identified sterols the greatest degradation rate was observed for stigmasterol and brassicasterol. Losses of stigmasterol and brassicasterol during storage of seeds with a 12.5 % moisture content at a temperature of 30°C were 17 and 28 %, respectively, while in seeds with a moisture content of 15.5 % these losses increased to 73 and 63 %.
World Academy of Science, Engineering and Technology, International Journal of Computer and Information Engineering, 2016
LWT, 2021
Predictive models describing the kinetics of fungal growth and thus the risk of mycotoxin formati... more Predictive models describing the kinetics of fungal growth and thus the risk of mycotoxin formation in mass of grain are promising prognostic tools that may be used in postharvest management systems. In the study an artificial neural network (ANN) based on the multilayer perceptron (MLP) topology was used to evaluate the fungal population in barley grain stored under different temperature and water activity conditions (T = 12-30 • C and a w = 0.78-0.96). The impact of the number of neurons in the hidden layer and the type of activation functions in neurons of the hidden and output layers on the model prediction quality were analysed. The best architecture was the network containing five neurons in the hidden layer and the hyperbolic tangent function in neurons of the hidden layer and the linear one in the output. Statistical criteria used to evaluate the model performance showed its high precision and prediction accuracy. The results indicate that ANNs may be useful tools in predictive modelling of fungal development in a bulk of stored grain that may be used in postharvest management systems.
Algorithms, Sep 8, 2023
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Acta Agrophysica, Dec 18, 2016
Inżynieria Rolnicza, 2007
Food and Bioprocess Technology, Jan 9, 2021
Postharvest preservation and storage have a crucial impact on the technological quality and safet... more Postharvest preservation and storage have a crucial impact on the technological quality and safety of grain. The important threat to stored grain quality and nutritional safety of cereal products is mould development and their toxic metabolites, mycotoxins. Models based on predictive microbiology, which are able to estimate the kinetics of fungal growth, and thus, the risks of mycotoxin accumulation in a mass of grain are promising prognostic tools that can be applied in postharvest management systems. The study developed a modelling approach to describe total fungal growth in barley ecosystems stored at different temperatures (T = 12-30°C) and water activity in grain (a w = 0.78-0.96). As the pattern of fungal growth curves was sigmoidal, the experimental data were modelled using the modified Gompertz equation, in which constant coefficients reflecting biological parameters of mould development (i.e. lag phase duration (τ lag), maximum growth rate (μ max) and the maximum increase in fungal population level (Δ max log(CFU)) were expressed as functions of storage conditions, i.e. a w and T. The criteria used to evaluate the overall model performance indicated its good precision (R 2 = 0.95; RMSE = 0.23) and high prediction accuracy (bias factor and accuracy factor B f = 1.004, A f = 1.035). The formulated model is able to estimate the extension of fungal contamination in a bulk of grain versus time by monitoring temperature and intergranular relative humidity that are readily measurable in practice parameters; therefore, it may be used as a prognostic support tool in modern postharvest management systems.
Acta Scientiarum Polonorum. Technologia Alimentaria, Dec 30, 2005
The cyclic voltammetric method, which is based on the redox properties of ascorbic acid, was adop... more The cyclic voltammetric method, which is based on the redox properties of ascorbic acid, was adopted to determine the concentration of vitamin C in apple juices. Recorded on voltammograms, the oxidation current of ascorbic acid was linearly dependent on the ascorbic acid concentration (a linear calibration curve was found in the range of up to 150 mg ascorbic acid/100 cm 3 solution). The standard addition technique was used to determine the ascorbic acid concentration. To verify results, the titrimetric method was used. Differences between concentrations of vitamin C determined using the cyclic voltammetric and titrimetric methods are lower than 1 mg (in comparison to concentrations of ascorbic acid about 50 mg/100 cm 3 of juice). The method-easy for automation-can be used directly without special preparation of studied apple juices samples before measurement of the vitamin C concentration.
Acta Scientiarum Polonorum, Dec 30, 2018
Background. The quality of rapeseed oil depends to a considerable degree on raw material quality.... more Background. The quality of rapeseed oil depends to a considerable degree on raw material quality. Negligence in maintaining the appropriate conditions during long-term rapeseed storage (excessively high humidity and temperature) may contribute to a deterioration of seed quality, as a result of microbial growth and changes in native antioxidant contents. The aim of this study was to investigate the effect of inappropriate storage conditions on changes in sinapic acid derivative content, which is the main phenolic compound in rapeseeds. Material and methods. The material used for tests was canola cv. PR 46 W14. Seeds with a 13.5% moisture content were stored for 21 days in a thermo-hygrostat chamber, ensuring rapeseed storage under constant humidity and temperature conditions. In this study, the level of mould fungi was analysed using the plate method, while those of sinapic acid derivatives were determined using the HPLC-DAD method. Results. Intensive growth of mould fungi in the rapeseeds was observed after 6 days of storage. Changes were recorded in sinapic acid derivative contents, which are the main phenolic compounds in rapeseed. The level of phenolic compounds found in the bound form (sinapin; sinapic acid methyl ester; 1,2-disinapoyldihexoside; 1,2-disinapoyl-hexoside and 1,2,2'-trisinapoyl-dihexoside) decreased. At the same time, an increase was recorded in trans-sinapic acid content (by 63%). Conclusion. Both qualitative and quantitative changes in phenolic compounds may be connected with the development of fungal microflora in stored rapeseeds. Only adequate storage conditions for the oil raw material, such as rapeseeds, may ensure good quality in the final product, in this case, rapeseed oil.
Sensors, Jan 22, 2023
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Foods, Jan 22, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Sensors, Dec 19, 2020
This paper endeavors to evaluate rapeseed samples obtained in the process of storage experiments ... more This paper endeavors to evaluate rapeseed samples obtained in the process of storage experiments with different humidity (12% and 16% seed moisture content) and temperature conditions (25 and 30 • C). The samples were characterized by different levels of contamination with filamentous fungi. In order to acquire graphic data, the analysis of the morphological structure of rapeseeds was carried out with the use of microscopy. The acquired database was prepared in order to build up training, validation, and test sets. The process of generating a neural model was based on Convolutional Neural Networks (CNN), Multi-Layer Perceptron Networks (MLPN), and Radial Basis Function Networks (RBFN). The classifiers that were compared were devised on the basis of the environments Tensorflow (deep learning) and Statistica (machine learning). As a result, it was possible to achieve the lowest classification error of 14% for the test set, 18% classification error for MLPN, and 21% classification error for RBFN, in the process of recognizing mold in rapeseed with the use of CNN.
Agriculture, Nov 22, 2020
Artificial neural networks (ANNs) constitute a promising modeling approach that may be used in co... more Artificial neural networks (ANNs) constitute a promising modeling approach that may be used in control systems for postharvest preservation and storage processes. The study investigated the ability of multilayer perceptron and radial-basis function ANNs to predict fungal population levels in bulk stored rapeseeds with various temperatures (T = 12-30 • C) and water activity in seeds (a w = 0.75-0.90). The neural network model input included a w , temperature, and time, whilst the fungal population level was the model output. During the model construction, networks with a different number of hidden layer neurons and different configurations of activation functions in neurons of the hidden and output layers were examined. The best architecture was the multilayer perceptron ANN, in which the hyperbolic tangent function acted as an activation function in the hidden layer neurons, while the linear function was the activation function in the output layer neuron. The developed structure exhibits high prediction accuracy and high generalization capability. The model provided in the research may be readily incorporated into control systems for postharvest rapeseed preservation and storage as a support tool, which based on easily measurable on-line parameters can estimate the risk of fungal development and thus mycotoxin accumulation.
International Journal of Molecular Sciences
The introduction of the notion of energy change resulting from the ion exchange in apatites leads... more The introduction of the notion of energy change resulting from the ion exchange in apatites leads to the question: how can some simple isomorphic series be described using the mentioned idea? We concentrated on the simple isomorphic series of compounds: apatite, bioapatite, calcite, aragonite, celestine, K-, Zn- and Cu-Tutton’s salts. It was demonstrated in all the series, except Tutton’s salts, that the change in energy and the change in the crystal cell volume are, in a simple way, dependent on the change in the ionic radii of the introduced ions. The linear relationships between the variations in energy and in the universal crystallographic dimension d were derived from the earlier equations and proven based on available data. In many cases, except the Tutton’s salts, linear dependence was discovered between the change in energy and the sinus of universal angle Θ, corresponding to the change in momentum transfer. In the same cases, linear dependencies were observed between the en...
Fourteenth International Conference on Digital Image Processing (ICDIP 2022), Oct 12, 2022
Acta Scientiarum Polonorum, Dec 30, 2018
Background. The quality of rapeseed oil depends to a considerable degree on raw material quality.... more Background. The quality of rapeseed oil depends to a considerable degree on raw material quality. Negligence in maintaining the appropriate conditions during long-term rapeseed storage (excessively high humidity and temperature) may contribute to a deterioration of seed quality, as a result of microbial growth and changes in native antioxidant contents. The aim of this study was to investigate the effect of inappropriate storage conditions on changes in sinapic acid derivative content, which is the main phenolic compound in rapeseeds. Material and methods. The material used for tests was canola cv. PR 46 W14. Seeds with a 13.5% moisture content were stored for 21 days in a thermo-hygrostat chamber, ensuring rapeseed storage under constant humidity and temperature conditions. In this study, the level of mould fungi was analysed using the plate method, while those of sinapic acid derivatives were determined using the HPLC-DAD method. Results. Intensive growth of mould fungi in the rapeseeds was observed after 6 days of storage. Changes were recorded in sinapic acid derivative contents, which are the main phenolic compounds in rapeseed. The level of phenolic compounds found in the bound form (sinapin; sinapic acid methyl ester; 1,2-disinapoyldihexoside; 1,2-disinapoyl-hexoside and 1,2,2'-trisinapoyl-dihexoside) decreased. At the same time, an increase was recorded in trans-sinapic acid content (by 63%). Conclusion. Both qualitative and quantitative changes in phenolic compounds may be connected with the development of fungal microflora in stored rapeseeds. Only adequate storage conditions for the oil raw material, such as rapeseeds, may ensure good quality in the final product, in this case, rapeseed oil.
Journal of the American Oil Chemists' Society, Mar 17, 2011
Molecules, Apr 10, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Journal of the American Oil Chemists' Society, Apr 24, 2012
The effect of temperature (25 or 35°C) and moisture content (10, 12.5, 15.5 %) on rapeseed phytos... more The effect of temperature (25 or 35°C) and moisture content (10, 12.5, 15.5 %) on rapeseed phytosterol degradation was examined for 18 days. Statistical analysis showed that temperature, moisture and time of storage have a significant effect on phytosterol degradation. After 18 days of seed storage at a temperature of 25 and 30°C losses of these compounds amounted to 11 and 13 % in seeds with moisture contents of 10, 12 and 16 % in seeds with a moisture content of 12.5 %, while they were 24 and 58 % in seeds with a moisture content of 15.5 %. Among all the identified sterols the greatest degradation rate was observed for stigmasterol and brassicasterol. Losses of stigmasterol and brassicasterol during storage of seeds with a 12.5 % moisture content at a temperature of 30°C were 17 and 28 %, respectively, while in seeds with a moisture content of 15.5 % these losses increased to 73 and 63 %.
World Academy of Science, Engineering and Technology, International Journal of Computer and Information Engineering, 2016
LWT, 2021
Predictive models describing the kinetics of fungal growth and thus the risk of mycotoxin formati... more Predictive models describing the kinetics of fungal growth and thus the risk of mycotoxin formation in mass of grain are promising prognostic tools that may be used in postharvest management systems. In the study an artificial neural network (ANN) based on the multilayer perceptron (MLP) topology was used to evaluate the fungal population in barley grain stored under different temperature and water activity conditions (T = 12-30 • C and a w = 0.78-0.96). The impact of the number of neurons in the hidden layer and the type of activation functions in neurons of the hidden and output layers on the model prediction quality were analysed. The best architecture was the network containing five neurons in the hidden layer and the hyperbolic tangent function in neurons of the hidden layer and the linear one in the output. Statistical criteria used to evaluate the model performance showed its high precision and prediction accuracy. The results indicate that ANNs may be useful tools in predictive modelling of fungal development in a bulk of stored grain that may be used in postharvest management systems.