A novel bioreactor called pulsed plate bioreactor (PPBR) with cell immobilised glass particles in the interplate spaces was used for continuous aerobic biodegradation of phenol present in wastewater. A mathematical model consisting of mass balance equations and accounting for simultaneous external film mass transfer, internal diffusion and reaction is presented to describe the steady-state degradation of phenol by Nocardia hydrocarbonoxydans (Nch.) in this bioreactor. The growth of Nch. on phenol was found to follow Haldane substrate inhibition model. The biokinetic parameters at a temperature of 30 ± 1 °C and pH at 7.0 ± 0.1 are μ (m) = 0.5397 h(-1), K (S) = 6.445 mg/L and K (I) = 855.7 mg/L. The mathematical model was able to predict the reactor performance, with a maximum error of 2% between the predicted and experimental percentage degradations of phenol. The biofilm internal diffusion rate was found to be the slowest step in biodegradation of phenol in a PPBR.

India is a developing country and is laying emphasis on the infrastructure growth and is focusing on development of telecommunications, airlines, airports, ports, highways, railways, housing, power, motor vehicles, banking, manufacturing and others. The impact of development is seen on the environment in the form of air pollution, greenhouse gases emission, water pollution, land pollution, noise pollution, waste generation and its management, depletion of natural resources, loss of biodiversity, loss of water bodies, deforestation, threat to animal life and so on. An approach to balance development, environment impact and wellbeing of society is the need. Sustainable development, along with sustainable manufacturing strategies and sustainable performance measures, is required to facilitate and monitor the infrastructure growth, manufacturing growth and use of goods and services to keep a balance between environment and growth. For the infrastructure development, construction equipment are widely used and hence it is

Membrane vesicles are critical regulators of pathogenic diseases. In tubercular infections, the use of mycobacteria derived vesicles as delivery vehicles to overcome drug resistance and complex treatment regimens has never been attempted. Here, we first address how these vesicles interact with their target cells, especially via membrane fusion. Membrane fusion between alike mycobacterial outer and inner membrane layer-derived lipid vesicles is shown to be driven by the structural, geometrical, and biophysical attributes of constituent lipids. The increased fusion of outer-membrane-derived vesicles with intact bacteria ensures enhanced intracellular drug levels and is presented as a “natural” antitubercular drug delivery vehicle.

The surface roughness of manufactured product is final results of the turning technique parameters, and an critical characteristics that outline product first-rate, aesthetics etc. It imposes one of the most essential constraints for the choice of machines and slicing parameters in manner planning. In this paper, Artificial Neural Network (ANN) method has been used to develop surface roughness prediction model the use of experimental statistics, wherein Feed Forward Neural Network (FFNN) the usage of Back Propagation set of rules and Levenberg-Marquardt education function has been used. The work has been done using Neural etwork Toolbox in MATLAB. The overall performance of the version has been assessed based totally on Regression analysis, Mean Square Error (MSE) and Magnitude of Relative Error (MRE). A three-2-1 model with two neurons in the hidden layer turned into discovered to be the excellent developed model, having universal regression ( R) cost of zero.9923 and pleasant validation overall performance MSE value of 0.00913. The ANN model confirmed incredible consequences for forecasting