Sustainable technology: potential of biomass (Bambusa tuldoides) for biological denitrification of wastewater generated in shrimp farming.

Wastewater from shrimp farming is rich in organic material, solids, and nutrients, which cause a series of environmental problems when released into the environment. Currently, for the removal of nitrogen compounds from wastewater, among the most studied methods is biological denitrification. The objective of this study was to evaluate the operational parameters for the development of a more sustainable technology for the removal of nitrogen compounds from shrimp farm wastewater, using Bambusa tuldoides (a species of bamboo) as a source of carbon and a material conducive to the development of selected denitrifying bacteria. To optimize the process, biological denitrification assays were performed varying the following parameters: bamboo length (cm), pH, temperature, and stoichiometric proportions of C and N. The operational stability of the process with the reuse of the bamboo biomass was also evaluated. Cronobacter sakazakii and Bacillus cereus were identified as denitrifying microorganisms present in reactor with bamboo biomass. The best operational conditions observed were pH 6 to 7 and temperature 30 to 35 °C, and the addition of an external carbon source was not necessary for the denitrification process to occur efficiently. Under these conditions, biological denitrification occurred with an average efficiency above 90% based on the removal of the nitrogen contaminants evaluated (NO3-N and NO2-N). Regarding operational stability, 8 cycles were performed using the same source of carbon without reducing the efficiency of the process.

Tratamento de efluentes: remoção de detergente utilizando processo Fenton com ultrassom e prego reutilizado / Effluent treatment: detergent removal using Fenton ultrasound process and reused nail

RESUMO Diferentes metodologias são descritas na literatura para tratamento de efluentes industriais. Entretanto, a maioria dos processos não são totalmente eficientes quando o efluente apresenta baixo conteúdo de partícula coloidal suspensa e alta concentração de matéria orgânica e detergentes. Entre os métodos que são estudados para eliminar detergente e matéria orgânica de efluentes industriais, o processo Fenton é uma estratégia atraente. No presente estudo, foi aplicada uma metodologia para remoção de detergente de efluentes líquidos utilizando processo Fenton com ultrassom e prego reutilizado. A otimização de parâmetros para tratamento do efluente foi realizada por meio das análises de pH, detergente, cor, turbidez, demanda química de oxigênio, demanda bioquímica de oxigênio, óleos e graxas, e sólidos suspensos. Os melhores resultados foram obtidos em pH 3,5, com 90 mg L−1 de peróxido de hidrogênio e um prego de ferro (2,7g) tanto para o processo Fenton como para o Fenton com ultrassom. Nessas condições, os valores de remoção de detergente foram de 99,4%. Em pH 2,5, 4,5 e 5,5, os valores obtidos para remoção de detergente foram menores, 75,2, 89,5, 68,4%, respectivamente. Resultados semelhantes foram obtidos para cor, turbidez, demanda química de oxigênio e demanda bioquímica de oxigênio. A reutilização dos pregos mostrou que a eficiência média na remoção de detergente até o quarto ciclo foi acima de 90%, e, a partir do quinto ciclo, observou-se uma diminuição gradativa, sendo a diferença entre o primeiro e o sexto ciclo em torno de 10%.

ABSTRACT Different methodologies are described in the literature for the industrial effluents treatment. However, most processes are not fully efficient when the effluent has low suspended colloidal particle content and high concentration of organic matter and detergents. Among the methods that are studied to eliminate detergent and organic matter from industrial effluents, the Fenton process is an attractive strategy. In the present study, a more sustainable methodology was applied to remove detergent and organic matter from liquid effluents using Fenton process with ultrasound and recycled nail. The optimization of parameters for effluent treatment was carried out through the analysis of pH, detergents, color, turbidity, chemical oxygen demand, biochemical oxygen demand, oils and greases, and suspended solids. The best results were obtained at pH 3.5, with 90 mg L−1 of hydrogen peroxide and an iron nail (2.7 g) both for the Fenton process and Fenton with ultrasound. Under these conditions, detergent removal values were 99.4%. At pH 2.5, 4.5, and 5.5, the values obtained for detergent removal were lower, 75.2, 89.5, and 68.4%, respectively. Similar results were obtained for color, turbidity, chemical oxygen demand, and biochemical oxygen demand. The reuse of the nails showed that the average detergent removal efficiency up to the fourth cycle was above 90%, and, from the fifth cycle, a gradual decrease was observed, with the difference between the first and sixth cycles being around 10%.

Substrate specificity and enzyme recycling using chitosan immobilized laccase.

The immobilization of laccase (Aspergillus sp.) on chitosan by cross-linking and its application in bioconversion of phenolic compounds in batch reactors were studied. Investigation was performed using laccase immobilized via chemical cross-linking due to the higher enzymatic operational stability of this method as compared to immobilization via physical adsorption. To assess the influence of different substrate functional groups on the enzyme's catalytic efficiency, substrate specificity was investigated using chitosan-immobilized laccase and eighteen different phenol derivatives. It was observed that 4-nitrophenol was not oxidized, while 2,5-xylenol, 2,6-xylenol, 2,3,5-trimethylphenol, syringaldazine, 2,6-dimetoxyphenol and ethylphenol showed reaction yields up 90% at 40 °C. The kinetic of process, enzyme recyclability and operational stability were studied. In batch reactors, it was not possible to reuse the enzyme when it was applied to syringaldazne bioconversion. However, when the enzyme was applied to bioconversion of 2,6-DMP, the activity was stable for eight reaction batches.