Tackling correlated responses during process optimisation of rapeseed meal protein extraction.

Setting of process variables to meet the required specifications of quality characteristics is a crucial task in the extraction technology or process quality control. Simultaneous optimisation of several conflicting characteristics poses a problem, especially when correlation exists. To remedy this shortfall, we present multi-response optimisation based on Response Surface Methodology (RSM)-Principal Component Analysis (PCA)-desirability function approach, combined with Multiple Linear Regression (MLR).

Hazard remediation and recycling of tea industry and paper mill bottom ash through vermiconversion.

Considerable amount of bottom ash (BA) is produced by tea and paper factories in Northeast India. This significantly deteriorates soil and surface water quality through rapid acidification, releasing sulfur compounds and heavy metals. The present investigation endeavoured to convert this waste to organic manure through vermicomposting by Eisenia fetida.