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Optimisation of Detergent Ingredients for Stain Removal Using Statistical Modelling
Author(s) -
Shivaji Biranje Santosh,
Nathany Abhinav,
Mehra Neha,
Adivarekar Ravindra
Publication year - 2015
Publication title -
journal of surfactants and detergents
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.349
H-Index - 48
eISSN - 1558-9293
pISSN - 1097-3958
DOI - 10.1007/s11743-015-1722-6
Subject(s) - chemistry , dodecylbenzene , factorial experiment , pulmonary surfactant , sodium carbonate , sodium silicate , chromatography , sulfonate , sodium , pulp and paper industry , chemical engineering , organic chemistry , biochemistry , statistics , mathematics , engineering
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.