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[Display omitted] • P. ostreatus mycelium biomass and EPS were optimized by GA-RSM. • Biomass (36.45 g/L) and EPS (6.72 g/L) were obtained under optimized conditions. • ANN showed better prediction performance results than RSM. • A user-friendly GUI was developed for computing mycelium biomass and EPS production. This study aimed to enhance the production of mycelium biomass and exopolysaccharides (EPS) of Pleurotus ostreatus in submerged fermentation. Response Surface Methodology (RSM) sought to optimize culture conditions, whereas Artificial Neural Network (ANN) aimed to predict the mycelium biomass and EPS. After optimization of RSM model conditions, the maximum biomass (36.45 g/L) and EPS (6.72 g/L) were obtained at the optimum temperature of 22.9 °C, pH 5.6, and agitation of 138.9 rpm. Further, the Genetic Algorithm (GA) was employed to optimize the cultivation conditions in order to maximize the mycelium biomass and EPS production. The ANN model with an optimized network structure gave the coefficient of determination (R2) value of 0.99 and the least mean squared error of 1.9 for the validation set. In the end, a graphical user interface was developed to predict mycelium biomass and EPS production. [ABSTRACT FROM AUTHOR]

[Display omitted] • WRF P. ostreatus GEMB-PO1 exhibits noteble Cu tolerance and measurable Cu removal. • Transcriptomic data reveals elevated lignocellulolytic enzyme under Cu condition. • The co-remediation by GMEB-PO1 significantly boosts organic pollutant degradation. Addressing the environmental contamination from heavy metals and organic pollutants remains a critical challenge. This study explored the resilience and removal potential of Pleurotus ostreatus GEMB-PO1 for copper. P. ostreatus GEMB-PO1 showed significant tolerance, withstanding copper concentrations up to 2 mM. Its copper removal efficiency ranged from 64.56 % at 0.5 mM to 22.90 % at 8 mM. Transcriptomic insights into its response to copper revealed a marked upregulation in xenobiotic degradation-related enzymes, such as laccase and type II peroxidases. Building on these findings, a co-remediation system using P. ostreatus GEMB-PO1 was developed to remove both copper and organic pollutants. While this approach significantly enhanced the degradation efficiency of organic contaminants, it concurrently exhibited a diminished efficacy in copper removal within the composite system. This study underscores the potential of P. ostreatus GEMB-PO1 in environmental remediation. Nevertheless, further investigation is required to optimize the simultaneous removal of organic pollutants and copper. [ABSTRACT FROM AUTHOR]

[Display omitted] • Spent Substrate of Pleurotus ostreatus can act as potential biomass for biobutanol production. • Clostridium acetobutylicum MTCC 11274 produced ABE concentration of 10.80 ± 0.02 g/L. • Hybrid pre-treatment showed maximum biobutanol yield of 0.38 g/g. • SEM, FT-IR, XRD data confirmed the breakdown of lignin and hemicellulose. Addressing global energy demand, researchers sought eco-friendly biobutanol production from lignocellulosic waste biomass. In the present research work, five different pre-treatment methods viz., Microwave, Ultrasound, Alkali, Acid, and Hybrid, were investigated to explore its biobutanol production potential by utilizing Pleurotus ostreatus spent as substrate. The compositional and physico-chemical changes of the pre-treated Spent Mushroom Substrate (SMS) were assessed using SEM, FTIR, and XRD. Hybrid pre-treatment (Microwave, Alkali, Ultrasound) showed higher delignification when compared to conventional pre-treatment method. Hybrid pre-treated SMS resulted in higher total reducing sugars (521.53 ± 1.84 mg/g) than indigenous SMS (267.89 ± 1.53 mg/g). Fermentation of hybrid pre-treated SMS with Clostridium acetobutylicum MTCC 11274 produced the highest biobutanol concentration (9.84 ± 0.03 g/L) and yielded 0.38 ± 0.02 g/g of biobutanol. This study revealed that hybrid pre-treatment could be a promising solution for enhanced biobutanol production using SMS biomass. [ABSTRACT FROM AUTHOR]