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50 results on '"Boguta, Patrycja"'

23. The Importance of the Targeted Design of Biochar Physicochemical Properties in Microbial Inoculation for Improved Agricultural Productivity—A Review.

Author

Gryta, Angelika, Skic, Kamil, Adamczuk, Agnieszka, Skic, Anna, Marciniak, Magdalena, Józefaciuk, Grzegorz, and Boguta, Patrycja

Subjects
BIOCHAR, AGRICULTURAL productivity, BIOINDICATORS, SOIL conditioners, VACCINATION, FEEDSTOCK
Abstract

Biochar has great potential as a soil conditioner and as a carrier of beneficial microorganisms that support the removal of pollutants, influence the circulation of nutrients, and support plant growth. This review summarizes and discusses factors shaping the physicochemical properties of biochar, including feedstock, pyrolysis conditions, and accompanying processes used as post-pyrolysis modification to improve the functionality of biochar. Key physical and chemical properties such as high porosity and specific surface area, nutrient content, pH, and biochar functional groups are discussed in detail to show biochar's potential as a carrier for microorganisms. This review also discusses and summarizes biological indicators that allow for assessing the quality and efficiency of the microbiological modifiers. Finally, this paper presents the benefits and limitations of biochar application to agriculture and provides recommendations for future research to improve the quality and expand the applicability of biochar-based inoculants. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Immediate effects of the application of various fungal strains with urea fertiliser on microbiome structure and functions and their relationships with the physicochemical parameters of two different soil types

Author

Pertile, Giorgia, primary, Lamorski, Krzysztof, additional, Bieganowski, Andrzej, additional, Boguta, Patrycja, additional, Brzezińska, Małgorzata, additional, Polakowski, Cezary, additional, Skic, Kamil, additional, Sokołowska, Zofia, additional, Baranowski, Piotr, additional, Gackiewicz, Bartłomiej, additional, Rutkowska, Agnieszka, additional, Trzciński, Paweł, additional, Sas-Paszt, Lidia, additional, and Frąc, Magdalena, additional

Published
2021
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50. Optimal isotherm model and explanatory characteristics associated with metal ion adsorption on humic acids isolated from forest soils

Author

Mahmood Fazeli Sangani, Akbar Forghani, Patrycja Boguta, Marjan Anoosha, Gary Owens, Fazeli Sangani, Mahmood, Forghani, Akbar, Boguta, Patrycja, Anoosha, Marjan, and Owens, Gary

Subjects
sorption parameters, correlation analysis, Stratigraphy, isotherm model, clustering, Earth-Surface Processes
Abstract

Refereed/Peer-reviewed Purpose: Understanding the mechanisms of interaction between humic acids (HAs) and metal ions in soil media is essential for integrated environmental and agricultural management. This study aims to select the best isotherm model and explore the correlation between physicochemical properties of humic acids isolated from forest soils and metal ion sorption parameters. Materials and methods: The HA fractions of ten forest soils were initially isolated and well characterized. Afterward, the sorption of four metal ions (Cu, Fe, Mn, and Zn) on the isolated HAs was investigated. The experimental data was initially fit to the three isotherm models to find the optimal model. Subsequently, the correlation between physicochemical HA properties and metal ion sorption parameters was explored using correlation and clustering analysis. Results and discussion: Results showed that despite employing identical extraction procedures, isolated HAs from soils differed statistically in their descriptive characteristics. The adsorption data generally fit the Freundlich isotherm model best. However, isotherm model performance was affected by both metal ion and HA types. Six descriptive HA attributes including H/C and O/C molar ratio, the internal oxidation degree (ω), carboxylic acidity, E4/E6 ratio, and the Δlog-K were closely associated with sorption parameters. Conclusions: Since the performance of isotherm models was affected by both metal ion and HA type, the isotherm model should be selected with regard to target metal ions and HA type. Highly correlated variables with sorption parameters of HA-metal ions screened in this study could be reliably used to develop sorption predictive models for HA-metal ions in soil and aquifers.

Published
2022

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