Vali Rasooli Sharabiani, Ali Khorramifar, H. Karami, Jesús Lozano, S. Tabor, Yousef Darvishi, M. Gancarz
. In order to accurately determine and evaluate the odour of rice, it is necessary to identify the substances that affect that odour and to develop methods to determine their amounts. For more than three decades, researchers have been studying the factors that produce and influence the aroma of rice. An electronic nose can be used to detect the volatile compounds of rice, while an olfactory machine is capable of classifying and detecting the variety, origin, and storage time of rice with a high degree of effi - ciency. This study aimed to investigate the efficacy of electronic noses and other chemometric methods such as principal component analysis, linear discriminant analysis, and the Artificial Neural Network as a cost-effective, rapid, and non-destructive method for the detection of pure and adulterated rice varieties. Therefore, an electronic nose equipped with nine metal oxide semiconductor sensors with low power consumption was used. The results showed that the amount of variance accounted for by PC1 and PC4 was 98% for the samples used. Also, the classifi - cation accuracy of the linear discriminant analysis and Artificial Neural Network methods were 100%, respectively. The Support Vector Machines method (including Nu-SVM and C-SVM) was also used, which, in all its functions except the polynomial function, produced 100% accuracy in terms of training and validation.
{"title":"Non-destructive test to detect adulteration of rice using gas sensors coupled with chemometrics methods","authors":"Vali Rasooli Sharabiani, Ali Khorramifar, H. Karami, Jesús Lozano, S. Tabor, Yousef Darvishi, M. Gancarz","doi":"10.31545/intagr/166009","DOIUrl":"https://doi.org/10.31545/intagr/166009","url":null,"abstract":". In order to accurately determine and evaluate the odour of rice, it is necessary to identify the substances that affect that odour and to develop methods to determine their amounts. For more than three decades, researchers have been studying the factors that produce and influence the aroma of rice. An electronic nose can be used to detect the volatile compounds of rice, while an olfactory machine is capable of classifying and detecting the variety, origin, and storage time of rice with a high degree of effi - ciency. This study aimed to investigate the efficacy of electronic noses and other chemometric methods such as principal component analysis, linear discriminant analysis, and the Artificial Neural Network as a cost-effective, rapid, and non-destructive method for the detection of pure and adulterated rice varieties. Therefore, an electronic nose equipped with nine metal oxide semiconductor sensors with low power consumption was used. The results showed that the amount of variance accounted for by PC1 and PC4 was 98% for the samples used. Also, the classifi - cation accuracy of the linear discriminant analysis and Artificial Neural Network methods were 100%, respectively. The Support Vector Machines method (including Nu-SVM and C-SVM) was also used, which, in all its functions except the polynomial function, produced 100% accuracy in terms of training and validation.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44187366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yang Hao, Zhang Tong, Yang Wei Li, Xiang Huan, Liu Xiao Li, Zhang Qi, Liu Lei, Y. You, Liu Ya Jie, Guo Shi Ping, Zeng Shu Hua
. The moisture content of cigar leaves during drying is an important indicator for controlling the management of drying rooms. At present, the determination of cigar leaf moisture content is mainly dependent on traditional destructive detection methods, which are inefficient and damaging to plants. In this study, a Convolution Neural Network method consisting of digital images for monitoring the moisture content of cigar leaves during the drying process was proposed. In this study, the Convolution Neural Network model was trained to learn the relationship between the images and the corresponding moisture content using the extracted colour, shape, and texture features as input factors. In order to compare the Convolution Neural Network estimation results, a widely used traditional machine learning algorithm was applied. The results demonstrated that the estimated value of Convolution Neural Network agreed with the predicted value; the R 2 was 0.9044, and the average accuracy was 87.34%. These results were better than those produced by traditional machine learning methods. The generalization test of the proposed method was conducted using varieties of cigar leaves in other drying rooms. The results showed that Convolution Neural Network is a viable method for an accurate estimation of the moisture content, the R 2 was 0.8673 and the average accuracy was 86.81%. The Convolution Neural Network established by the features extracted from digital images could accurately estimate the moisture content of cigar leaves during drying and was therefore shown to be an effective monitoring tool.
{"title":"Moisture content monitoring of cigar leaves during drying based on a Convolutional Neural Network","authors":"Yang Hao, Zhang Tong, Yang Wei Li, Xiang Huan, Liu Xiao Li, Zhang Qi, Liu Lei, Y. You, Liu Ya Jie, Guo Shi Ping, Zeng Shu Hua","doi":"10.31545/intagr/165775","DOIUrl":"https://doi.org/10.31545/intagr/165775","url":null,"abstract":". The moisture content of cigar leaves during drying is an important indicator for controlling the management of drying rooms. At present, the determination of cigar leaf moisture content is mainly dependent on traditional destructive detection methods, which are inefficient and damaging to plants. In this study, a Convolution Neural Network method consisting of digital images for monitoring the moisture content of cigar leaves during the drying process was proposed. In this study, the Convolution Neural Network model was trained to learn the relationship between the images and the corresponding moisture content using the extracted colour, shape, and texture features as input factors. In order to compare the Convolution Neural Network estimation results, a widely used traditional machine learning algorithm was applied. The results demonstrated that the estimated value of Convolution Neural Network agreed with the predicted value; the R 2 was 0.9044, and the average accuracy was 87.34%. These results were better than those produced by traditional machine learning methods. The generalization test of the proposed method was conducted using varieties of cigar leaves in other drying rooms. The results showed that Convolution Neural Network is a viable method for an accurate estimation of the moisture content, the R 2 was 0.8673 and the average accuracy was 86.81%. The Convolution Neural Network established by the features extracted from digital images could accurately estimate the moisture content of cigar leaves during drying and was therefore shown to be an effective monitoring tool.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43970333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
. An understanding of the kinetics of water vapour sorption allows for the prediction of the stability of food in the management of transport and storage processes, it also facilitates the optimization of drying processes, and the rationalization of the methods of studying sorption statics. The present study aimed to determine an appropriate model of the kinetics of water vapour sorption on the surface of maize starch particles, which could prove useful in describing kinetic curves as well as allowing for the determination of the time required to reach a state of equilibrium. Experimental data was obtained through the continuous measurement of the increase in sample mass. The model was developed by matching the simulation results to the experimental results. Its parameters were identified by minimizing the mean square error between the time courses of the simulation and the experimental results, which allowed for the avoidance of problems concerning data processing and the loss of information. Two methods were deployed in order to minimize the occurrence of error: multi-start and gradient ones. The proposed model provided an appropriate description of the kinetics of water vapour adsorption by maize starch, regardless of the mass of the samples used and the physical state of their particles. The time required for a state of equilibrium to be attained was significantly shorter than the usually assumed period of 30 days.
{"title":"Differential model of the kinetics of water vapour adsorption on maize starch particles","authors":"A. Ocieczek, R. Kostek, H. Toczek","doi":"10.31545/intagr/163569","DOIUrl":"https://doi.org/10.31545/intagr/163569","url":null,"abstract":". An understanding of the kinetics of water vapour sorption allows for the prediction of the stability of food in the management of transport and storage processes, it also facilitates the optimization of drying processes, and the rationalization of the methods of studying sorption statics. The present study aimed to determine an appropriate model of the kinetics of water vapour sorption on the surface of maize starch particles, which could prove useful in describing kinetic curves as well as allowing for the determination of the time required to reach a state of equilibrium. Experimental data was obtained through the continuous measurement of the increase in sample mass. The model was developed by matching the simulation results to the experimental results. Its parameters were identified by minimizing the mean square error between the time courses of the simulation and the experimental results, which allowed for the avoidance of problems concerning data processing and the loss of information. Two methods were deployed in order to minimize the occurrence of error: multi-start and gradient ones. The proposed model provided an appropriate description of the kinetics of water vapour adsorption by maize starch, regardless of the mass of the samples used and the physical state of their particles. The time required for a state of equilibrium to be attained was significantly shorter than the usually assumed period of 30 days.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43883948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samuel I. Haruna, Zoey A. Ward, Ashlen L. Cartwright, Avie A. Wunner
. The influence of a single species cover crop on soil hydraulic properties during one growing season are well known. However, the influence of multi-year and multi-species cover crops on soil physical and hydraulic properties are not yet fully understood. The current study was set up using a completely randomized block design during 2021 and 2022, it investigated the effects of a multi-species cover crop (winter wheat ( Triticum aestivum L.), crimson clover ( Trifolium incarnatum L.), triticale ( Triticale hexaploide Lart), hairy vetch ( Vicia villosa ), oats ( Avena sativa ), and cereal rye ( Secale cereale L.)) on bulk density, soil organic carbon, saturated hydraulic conductivity, pore-size distribution, and volumetric water content at 0, -0.4, -1, -2.5, -5, -10, -20, -33, -100, and -1 500 kPa soil water pressures. The soil samples were collected in 10 cm increments from the soil surface down to 30 cm. After 2 years, the results showed that cover crop reduced bulk density by 17% as compared with no cover crop management. Further, the cover crop-induced increases in soil organic carbon as well as in macro- and mesoporosity led to 23, 25, and 28% increases in volumetric water content at 0, -33, and -100 kPa soil water pressures respectively, relative to no cover crop management. When comparing the two years of the study, under cover crop management alone, saturated hydraulic conductivity was higher in 2021 as compared to 2022, which suggests that cover crop-induced improvements in some hydraulic properties may not be proportional over time. In general, cover crops improved the measured soil hydraulic properties after 2 years and this has the potential to be beneficial for improving soil water storage.
{"title":"Influence of no-till cover crops on the physical and hydraulic properties\u0000of a Paleudult","authors":"Samuel I. Haruna, Zoey A. Ward, Ashlen L. Cartwright, Avie A. Wunner","doi":"10.31545/intagr/162799","DOIUrl":"https://doi.org/10.31545/intagr/162799","url":null,"abstract":". The influence of a single species cover crop on soil hydraulic properties during one growing season are well known. However, the influence of multi-year and multi-species cover crops on soil physical and hydraulic properties are not yet fully understood. The current study was set up using a completely randomized block design during 2021 and 2022, it investigated the effects of a multi-species cover crop (winter wheat ( Triticum aestivum L.), crimson clover ( Trifolium incarnatum L.), triticale ( Triticale hexaploide Lart), hairy vetch ( Vicia villosa ), oats ( Avena sativa ), and cereal rye ( Secale cereale L.)) on bulk density, soil organic carbon, saturated hydraulic conductivity, pore-size distribution, and volumetric water content at 0, -0.4, -1, -2.5, -5, -10, -20, -33, -100, and -1 500 kPa soil water pressures. The soil samples were collected in 10 cm increments from the soil surface down to 30 cm. After 2 years, the results showed that cover crop reduced bulk density by 17% as compared with no cover crop management. Further, the cover crop-induced increases in soil organic carbon as well as in macro- and mesoporosity led to 23, 25, and 28% increases in volumetric water content at 0, -33, and -100 kPa soil water pressures respectively, relative to no cover crop management. When comparing the two years of the study, under cover crop management alone, saturated hydraulic conductivity was higher in 2021 as compared to 2022, which suggests that cover crop-induced improvements in some hydraulic properties may not be proportional over time. In general, cover crops improved the measured soil hydraulic properties after 2 years and this has the potential to be beneficial for improving soil water storage.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49329130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renáta Petrikovszki, I. Cseresnyés, Fanni Bárányos, A. Molnár, G. Boros
. The early recognition of root-knot nematode injury belowground is essential in order to avoid serious crop losses. The measurement efficiency of the root dielectric response for detecting Meloidogyne incognita infection non-destructively was tested in potted cucumber and tomato. The electrical capacitance, dissipation factor and electrical conductance of the root, and also the leaf chlorophyll concentration were measured instru-mentally three times during plant growth, this was followed by an evaluation of the root galling intensity after harvest. The electrical capacitance and conductance increased significantly shortly after Meloidogyne infection, this was likely due to the substan-tially enhanced surface area and electrolyte permeability of the root membranes during giant cell formation. The dissipation factor and electrical conductance (related to hydraulic conductance) markedly decreased at the late stage of nematode infection, this was due to restricted root growth and solute uptake caused by the intrusion of giant cells into the root vascular tissues. No serious aboveground pest symptoms were visible in the plants studied owing to the low inoculum density. The results demonstrated the potential of dielectric measurement for the early detection of root-knot nematode infection without plant damage, before the appearance of obvious disease symptoms. This diagnostic tool has the potential to contribute to the improved selection of Meloidogyne -resistant crop genotypes, as well as more efficient nematode control to mitigate economic losses.
{"title":"Early detection of root-knot nematode (Meloidogyne incognita) infection by monitoring root dielectric response non-destructively","authors":"Renáta Petrikovszki, I. Cseresnyés, Fanni Bárányos, A. Molnár, G. Boros","doi":"10.31545/intagr/162798","DOIUrl":"https://doi.org/10.31545/intagr/162798","url":null,"abstract":". The early recognition of root-knot nematode injury belowground is essential in order to avoid serious crop losses. The measurement efficiency of the root dielectric response for detecting Meloidogyne incognita infection non-destructively was tested in potted cucumber and tomato. The electrical capacitance, dissipation factor and electrical conductance of the root, and also the leaf chlorophyll concentration were measured instru-mentally three times during plant growth, this was followed by an evaluation of the root galling intensity after harvest. The electrical capacitance and conductance increased significantly shortly after Meloidogyne infection, this was likely due to the substan-tially enhanced surface area and electrolyte permeability of the root membranes during giant cell formation. The dissipation factor and electrical conductance (related to hydraulic conductance) markedly decreased at the late stage of nematode infection, this was due to restricted root growth and solute uptake caused by the intrusion of giant cells into the root vascular tissues. No serious aboveground pest symptoms were visible in the plants studied owing to the low inoculum density. The results demonstrated the potential of dielectric measurement for the early detection of root-knot nematode infection without plant damage, before the appearance of obvious disease symptoms. This diagnostic tool has the potential to contribute to the improved selection of Meloidogyne -resistant crop genotypes, as well as more efficient nematode control to mitigate economic losses.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47311054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Findura, U. Malaga-Toboła, D. Kwaśniewski, M. Stasiak, Marek Gugała, A. Sikorska, M. Gancarz
{"title":"Influence of physical properties of sugar beet seeds on the work quality of the seeding mechanism","authors":"P. Findura, U. Malaga-Toboła, D. Kwaśniewski, M. Stasiak, Marek Gugała, A. Sikorska, M. Gancarz","doi":"10.31545/intagr/162403","DOIUrl":"https://doi.org/10.31545/intagr/162403","url":null,"abstract":"","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49059643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Campesi, P. Deligios, L. Ledda, F. Madau, G. Piluzza, G. Re, F. Sanna, L. Sulas
:
：
{"title":"Starter irrigation in sulla as a promising practice to climate change adaptation\u0000of Mediterranean rainfed forage systems","authors":"G. Campesi, P. Deligios, L. Ledda, F. Madau, G. Piluzza, G. Re, F. Sanna, L. Sulas","doi":"10.31545/intagr/162340","DOIUrl":"https://doi.org/10.31545/intagr/162340","url":null,"abstract":":","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46232671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renata Welc-Stanowska, Sabina Karp, M. Kurek, Antioni Miś, A. Nawrocka
. Farinographic and FT-IR analysis were used to determine water redistributrion and structural changes in the gluten network during dough mixing as a result of model bread dough supplementation with two types of β-glucans. The β-glucans were obtained from barley and beer yeast. Both polysaccharides were added to the dough in the amounts of 3, 6 and 9%. The farinographic studies show that both β-glucans have a similar effect on the course of chemically induced gluten dehydration and mechanical destruction. The application of a water redistribution model shows that barley β-glucan caused higher physical dehydration of the gluten network in comparison with yeast β-glucan. Additionally, both β-glucans did not differ significantly in their chemical reactivity to gluten. This finding was confirmed by the FT-IR results. Both β-glucans caused similar structural changes in the gluten network during dough mixing. An analysis of the spectral region connected with water populations indicates that water molecules form hydrogen bonds with β-glucans rather than with the gluten network during dough mixing.
{"title":"Effect of β-glucans on water redistribution and gluten structure in a model dough during the mixing process","authors":"Renata Welc-Stanowska, Sabina Karp, M. Kurek, Antioni Miś, A. Nawrocka","doi":"10.31545/intagr/159209","DOIUrl":"https://doi.org/10.31545/intagr/159209","url":null,"abstract":". Farinographic and FT-IR analysis were used to determine water redistributrion and structural changes in the gluten network during dough mixing as a result of model bread dough supplementation with two types of β-glucans. The β-glucans were obtained from barley and beer yeast. Both polysaccharides were added to the dough in the amounts of 3, 6 and 9%. The farinographic studies show that both β-glucans have a similar effect on the course of chemically induced gluten dehydration and mechanical destruction. The application of a water redistribution model shows that barley β-glucan caused higher physical dehydration of the gluten network in comparison with yeast β-glucan. Additionally, both β-glucans did not differ significantly in their chemical reactivity to gluten. This finding was confirmed by the FT-IR results. Both β-glucans caused similar structural changes in the gluten network during dough mixing. An analysis of the spectral region connected with water populations indicates that water molecules form hydrogen bonds with β-glucans rather than with the gluten network during dough mixing.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45840533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Kupryaniuk, T. Oniszczuk, M. Combrzyński, A. Matwijczuk, J. Pulka
. The impact of the modification of the plasticizing system of the TS-45 single-screw extruder (by ZMCh Metalchem, Gliwice, Poland) with L/D = 12 is discussed in the article. The modification involved the reconfiguration of the extruder screw to achieve certain selected physical characteristics of the lignocellulosic raw materials which are not commonly used in biogas facilities. Shredded lignocellulosic raw materials (corn straw, wheat straw, and hay) were moistened to achieve a 25% water content and extruded at three rotational speeds of the extruder screw: 70, 90, and 110 rpm. During extrusion-cooking, the process efficiency and energy intensity were determined. The obtained extrudates were studied in order to establish selected physical properties (water solubility index, water absorption index and bulk density). In addition, the research included an analysis of microscopic images and the efficiency of cumulative methane and biogas production per fresh mass, dry mass, and dry organic mass. In addition, an analysis of the FTIR infrared spectra of the studied extruded samples was performed, these contained lignocellulose structures, and revealed explicit changes at the molecular level. The use of the extrusion technique as a pretreatment of the plant biomass allowed for the lignocellulosic bonds to be broken, which loosened the structure of the material and thus changed its physical properties and biogas efficiency.
{"title":"Physical and thermal modification of selected lignocellulosic raw materials","authors":"K. Kupryaniuk, T. Oniszczuk, M. Combrzyński, A. Matwijczuk, J. Pulka","doi":"10.31545/intagr/161612","DOIUrl":"https://doi.org/10.31545/intagr/161612","url":null,"abstract":". The impact of the modification of the plasticizing system of the TS-45 single-screw extruder (by ZMCh Metalchem, Gliwice, Poland) with L/D = 12 is discussed in the article. The modification involved the reconfiguration of the extruder screw to achieve certain selected physical characteristics of the lignocellulosic raw materials which are not commonly used in biogas facilities. Shredded lignocellulosic raw materials (corn straw, wheat straw, and hay) were moistened to achieve a 25% water content and extruded at three rotational speeds of the extruder screw: 70, 90, and 110 rpm. During extrusion-cooking, the process efficiency and energy intensity were determined. The obtained extrudates were studied in order to establish selected physical properties (water solubility index, water absorption index and bulk density). In addition, the research included an analysis of microscopic images and the efficiency of cumulative methane and biogas production per fresh mass, dry mass, and dry organic mass. In addition, an analysis of the FTIR infrared spectra of the studied extruded samples was performed, these contained lignocellulose structures, and revealed explicit changes at the molecular level. The use of the extrusion technique as a pretreatment of the plant biomass allowed for the lignocellulosic bonds to be broken, which loosened the structure of the material and thus changed its physical properties and biogas efficiency.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":"123 ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41253263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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