• Title of article

    Supersaturated design for screening factors influencing the preparation of sulfated amides of olive pomace oil fatty acids

  • Author/Authors

    Rais، نويسنده , , F. and Kamoun، نويسنده , , A. and Chaabouni، نويسنده , , M. and Claeys-Bruno، نويسنده , , M. and Phan-Tan-Luu، نويسنده , , R. and Sergent، نويسنده , , M.، نويسنده ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 2009
  • Pages
    8
  • From page
    71
  • To page
    78
  • Abstract
    In a previous paper, we showed that the preparation of sulfated diethanolamide of fatty acids is easy to carry out without organic solvents when using olive pomace oil as starting material; the reaction yield was, however, highly variable as a function of factor levels. The purpose of this research is to look for the optimal experimental conditions. We started by applying a supersaturated experimental design to screen for important factors among a list of 31 potentially influential factors in 18 experiments. Thus, we constructed a two-level supersaturated design as a half fraction of a 36-experiment Hadamard matrix and used it for this screening purpose. Multiple regression methods namely stepwise selection procedure, ridge regression and all-subset regressions were used to analyze the supersaturated design results according to a four step procedure. Results indicated that six factors, namely, molar ratio SO3/ester, amidation time, amide addition rate, alkali reagent, alkali concentration, and amidation temperature, were very influential factors. Three other factors were moderately influential: neutralization temperature, sodium methanoate amount, and methanol amount. In future research, these factors will be further studied in order to perform robustness tests of the process.
  • Keywords
    Supersaturated design , Screening , Ridge Regression , Sulfated fatty amides , All-subset regressions , Olive pomace oil
  • Journal title
    Chemometrics and Intelligent Laboratory Systems
  • Serial Year
    2009
  • Journal title
    Chemometrics and Intelligent Laboratory Systems
  • Record number

    1489579