Abstract
Artificially soiled test fabrics are widely used to study the cleaning performance of detergents formulations. In this study, artificial soiled cotton test fabrics were prepared in the laboratory using carbon black as a model soil. Design of experiments was used to optimise the concentration of detergent ingredients for stain removal. A multi-factorial analysis of variance was used to model the effect of sodium dodecylbenzene sulfonate, nonylphenol ethoxylate, sodium silicate, sodium citrate and sodium carbonate as builders on soil removal. A colourimetric evaluation using the CIELAB system was used to measure soil removal. In general, performance increases with increasing concentration of surfactant, silicate and soda ash.
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Shivaji Biranje, S., Nathany, A., Mehra, N. et al. Optimisation of Detergent Ingredients for Stain Removal Using Statistical Modelling. J Surfact Deterg 18, 949–956 (2015). https://doi.org/10.1007/s11743-015-1722-6
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DOI: https://doi.org/10.1007/s11743-015-1722-6