2 resultados para slow release fertilizer

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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Waste management worldwide has received increasing attention from global policies in recent years. In particular, agro-industrial streams represent a global concern due to the huge volumes generated and a high number of residues, which produce an environmental and economic impact on the ecosystem. The use of biotechnological approaches to treat these streams could allow the production of desirable by-products to be reinjected into the production cycle through sustainable processes. Purple phototrophic bacteria (PPB) are targeted as microorganisms capable to reduce the pressure of agro-industrial streams on environmental issues, due to their metabolic versatility (autotrophic and/or heterotrophic growth under different conditions). This Ph.D. research project aims to assess the effectiveness of PPB cultivation for industrial streams valorisation in the applications of biogas desulfurization and microbial protein production. For these purposes, the first part of the present work is dedicated to the cultivation of purple sulfur bacteria (PSB) for biogas streams upgrading, cleaning biogas from sulfur compounds (H2S), and producing elemental sulfur (S0), potentially suitable as a slow-release fertilizer. The second part of the thesis, instead, sees the application of purple non-sulfur bacteria (PNSB) on streams rich in organics, such as molasses, generating biomass with high content of proteins and pigments, useful as supplements in animal feed. The assessment of the main metabolic mechanisms involved in the two processes is evaluated at a laboratory scale using flasks and a photobioreactor, to define the consumption of substrates and the accumulation of products both in the autotrophic (on biogas) and in heterotrophic grow (on molasses). In conclusion, the effectiveness of processes employing PPB for a sustainable valorisation of several agro-industrial streams has been proved promising, using actual residues, and coupling their treatments with the production of added-value by-products.

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Hydrogen sulfide (H2S) is a widely recognized gasotransmitter, with key roles in physiological and pathological processes. The accurate quantification of H2S and reactive sulfur species (RSS) may hold important implications for the diagnosis and prognosis of various diseases. However, H2S species quantification in biological matrices is still a challenge. Among the sulfide detection methods, monobromobimane (MBB) derivatization coupled with reversed phase high-performance liquid chromatography (RP-HPLC) is one of the most reported. However, it is characterized by a complex preparation and time-consuming process, which may alter the actual H2S level. Moreover, quantitative validation has still not been described based on a survey of previously published works. In this study, we developed and validated an improved analytical protocol for the MBB RP-HPLC method. Main parameters like MBB concentration, temperature, reaction time, and sample handling were optimized, and the calibration method was further validated using leave-one-out cross-validation (CV) and tested in a clinical setting. The method shows high sensitivity and allows the quantification of H2S species, with a limit of detection (LOD) of 0.5 µM and a limit of quantification (LOQ) of 0.9 µM. Additionally, this model was successfully applied in measurements of H2S levels in the serum of patients subjected to inhalation with vapors rich in H2S. In addition, a properly procedure was established for H2S release with the modified MBB HPLC-FLD method. The proposed analytical approach demonstrated the slow-release kinetics of H2S from the multilayer Silk-Fibroin scaffolds with the combination of different H2S donor’s concentration with respect to the weight of PLGA nanofiber. In the end, some efforts were made on sulfide measurements by using size exclusion chromatography fluorescence/ultraviolet detection and inductively coupled plasma-mass spectrometry (SEC-FLD/UV-ICP/MS). It’s intended as a preliminary study in order to define the feasibility of a separation-detection-quantification platform to analyze biological samples and quantify sulfur species.