Wastewaters from various process industries,namely food and agricultural,sugar mill,brewery,milk,vegetable and fruit,and meat and fsheries processing industries and their wastewater efuents contain nutrients,organic m...Wastewaters from various process industries,namely food and agricultural,sugar mill,brewery,milk,vegetable and fruit,and meat and fsheries processing industries and their wastewater efuents contain nutrients,organic matter,inorganic,heavy metals,suspended solids,and pathogens.The discharges of non-treated wastewater enter the nearby aquatic ecosystem(e.g.,lakes,rivers)and are a signifcant concern due to the presence of diferent nutrients,competing ions and C containing pollutants.It causes excessive growth of algae,loss of habitat/species,and other negative impacts on human health/environment.In the present review,diferent treatment approaches have been discussed in utilizing these nutrients to synthesize value-added products such as biopolymer,biofuel,pigment,organic acid,or enzymes.These biopolymers can be used to prepare various food products/packaging materials.Dextran,chitosan,carrageenan,alginate,and pectin are good examples of non-food biopolymers.Besides these products,poly-β-hydroxybutyrate(PHB)synthesis from wastewater nutrients is reported as a new source of bio-nanocomposite materials/biopolymer-based coatings.In this review,the diferent treatment approaches are discussed,which are being used worldwide for the removal/recovery of nutrients,toxic pollutants,and the potential resource recovery of value-added products from wastewater.展开更多
Plants are known to interact with diverse microbial communities,both aboveground and belowground,including beneficial microbes,pathogens,and symbionts(Cheng et al.2019).Herbivorous insects,plant pathogens,and other pl...Plants are known to interact with diverse microbial communities,both aboveground and belowground,including beneficial microbes,pathogens,and symbionts(Cheng et al.2019).Herbivorous insects,plant pathogens,and other plant-associated microbes engage in competitive interactions,primarily vying for nutrient resources provided by the plant(Zhao et al.2024).展开更多
Applications of artificial intelligence(AI)-and machine learning(ML)-based methodologies for predicting optimal conditions in sustainable and effective management of biowastes and natural resources are of great concer...Applications of artificial intelligence(AI)-and machine learning(ML)-based methodologies for predicting optimal conditions in sustainable and effective management of biowastes and natural resources are of great concern.However,the AI-applications for optimizing the hydrothermal treatment(HT)of organic solid biowastes and prediction of nutrients fate during the HT process have not yet been investigated.Therefore,this study explores the application of different ML models(e.g.,XGBoost,Decision Tree,and Random Forest)for optimizing HT of swine manure,focusing on the role of calcium(Ca)and iron(Fe)ions in phosphorus(P)distribution in the produced liquid and solid phases(hydrochar).Specifically,we investigated the fate of total P(TPS)in the hydrochar and inorganic P(IPL)in the liquid phase during HT.Experimental validation was conducted alongside the ML predictions,with XGBoost outperforming the other models,showing strong predictive accuracy for TPS(R^(2)=0.77)and IPL(R^(2)=1.0).Key factors influencing model accuracy included feedstock composition,reaction temperature,duration,solid–liquid ratio,and Ca and Fe concentrations.We found that the impact of time on TPS and IPL was minimal when the reaction time was less than 200 min,while pH showed a positive correlation with TPS and IPL.NMR and XRD analyses indicated that as the reaction severity increased,the organic P content in the hydrochar became more uniform.These findings highlight the potential of AI-based methodologies for optimizing HT processes,contributing to more sustainable and effective solutions for safe recycling,management,and development of bioresources.展开更多
文摘Wastewaters from various process industries,namely food and agricultural,sugar mill,brewery,milk,vegetable and fruit,and meat and fsheries processing industries and their wastewater efuents contain nutrients,organic matter,inorganic,heavy metals,suspended solids,and pathogens.The discharges of non-treated wastewater enter the nearby aquatic ecosystem(e.g.,lakes,rivers)and are a signifcant concern due to the presence of diferent nutrients,competing ions and C containing pollutants.It causes excessive growth of algae,loss of habitat/species,and other negative impacts on human health/environment.In the present review,diferent treatment approaches have been discussed in utilizing these nutrients to synthesize value-added products such as biopolymer,biofuel,pigment,organic acid,or enzymes.These biopolymers can be used to prepare various food products/packaging materials.Dextran,chitosan,carrageenan,alginate,and pectin are good examples of non-food biopolymers.Besides these products,poly-β-hydroxybutyrate(PHB)synthesis from wastewater nutrients is reported as a new source of bio-nanocomposite materials/biopolymer-based coatings.In this review,the diferent treatment approaches are discussed,which are being used worldwide for the removal/recovery of nutrients,toxic pollutants,and the potential resource recovery of value-added products from wastewater.
基金supported by the National Natural Science Foundation of China(32370523).
文摘Plants are known to interact with diverse microbial communities,both aboveground and belowground,including beneficial microbes,pathogens,and symbionts(Cheng et al.2019).Herbivorous insects,plant pathogens,and other plant-associated microbes engage in competitive interactions,primarily vying for nutrient resources provided by the plant(Zhao et al.2024).
基金sustained by a grant from the National Key Research and Development Program of China"Intergovernmental Cooperation in International Science and Technology Innovation"[Grant number 2023YFE0104700]the National Natural Science Foundation of China[Grant Number 31401944]funded by Taif University,Saudi Arabia through project number(TU-DSPP-2024-27),which is appreciated by the author Esmat F.Ali.
文摘Applications of artificial intelligence(AI)-and machine learning(ML)-based methodologies for predicting optimal conditions in sustainable and effective management of biowastes and natural resources are of great concern.However,the AI-applications for optimizing the hydrothermal treatment(HT)of organic solid biowastes and prediction of nutrients fate during the HT process have not yet been investigated.Therefore,this study explores the application of different ML models(e.g.,XGBoost,Decision Tree,and Random Forest)for optimizing HT of swine manure,focusing on the role of calcium(Ca)and iron(Fe)ions in phosphorus(P)distribution in the produced liquid and solid phases(hydrochar).Specifically,we investigated the fate of total P(TPS)in the hydrochar and inorganic P(IPL)in the liquid phase during HT.Experimental validation was conducted alongside the ML predictions,with XGBoost outperforming the other models,showing strong predictive accuracy for TPS(R^(2)=0.77)and IPL(R^(2)=1.0).Key factors influencing model accuracy included feedstock composition,reaction temperature,duration,solid–liquid ratio,and Ca and Fe concentrations.We found that the impact of time on TPS and IPL was minimal when the reaction time was less than 200 min,while pH showed a positive correlation with TPS and IPL.NMR and XRD analyses indicated that as the reaction severity increased,the organic P content in the hydrochar became more uniform.These findings highlight the potential of AI-based methodologies for optimizing HT processes,contributing to more sustainable and effective solutions for safe recycling,management,and development of bioresources.
