RESUMO
The present investigation was focused to compare chitosan based nano-adsorbents (CZnO and CTiO2) for efficient treatment of dairy industry wastewater using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) models. The nano-adsorbents were synthesized using chemical precipitation method and characterized by using scanning electron microscope with elemental detection sensor (SEM-EDS) and atomic force microscope (AFM). Maximum %RBOD (96.71 and 87.56%) and %RCOD (90.48 and 82.10%) for CZnO and CTiO2 nano-adsorbents were obtained at adsorbent dosage of 1.25 mg/L, initial biological oxygen demand (BOD) and chemical oxygen demand (COD) concentration of 100 and 200 mg/L, pH of 7.0 and 2.00, contact time of 100 and 60 min, respectively. The results obtained for both the nano-adsorbents were subject to RSM and ANN models for determination of goodness of fit in terms of sum of square errors (SSE), root mean square error (RMSE), R2 and Adj. R2, respectively. The well trained ANN model was found superior over RSM in prediction of the treatment effect. Hence, the developed CZnO and CTiO2 nano-adsorbents could be effectively used for dairy industry wastewater treatment.
Assuntos
Quitosana , Purificação da Água , Indústria de Laticínios , Redes Neurais de Computação , Águas ResiduáriasRESUMO
Multifocal and bilateral involvement of the arch vessels is a common presentation of Takayasu's arteritis. Endovascular stenting of multiple supra aortic lesions in Takayasu's arteritis has been described scarcely in literature. We describe the management of a case of Takayasu's arteritis who presented with recurrent vertebro-basilar symptoms and a single surviving arch vessel. Whether routine revascularization of all three vessels is superior to symptom driven revascularization of individual lesions remains uncertain. The abundant collateral blood flow; the problems with stenting during the acute phase of the disease; the risk of restenosis that is considerably higher than atherosclerotic lesions; and the chances of progression of the disease have to be taken into account during endovascular revascularization of multiple supra aortic arch vessels.