Integrated product and process design for the optimization of mayonnaise creaminess

Arend Dubbelboer, Jo Janssen, Ardjan Krijgsman, Edwin Zondervan, Jan Meuldijk

    Research output: Contribution to journalArticleAcademicpeer-review

    7 Citations (Scopus)


    To optimize the sensory product attributes by changing the processing conditions or product recipe was the main objective of this research. A mathematical framework was built containing process and sensory models. First, a typical mayonnaise production line was modeled. The line consisted of two mixing steps; in mixer 1 the objective was to prepare an oil-in-water emulsion; while in mixer 2 the required product specifications had to be reached. The droplet size and emulsion viscosity were coupled in the processing model for mixer 2. The physicochemical emulsion properties were subsequently correlated to the sensory attributes with a Neural Network. This allowed us to estimate panel scores on sensory attributes. Second, an optimization case study was formulated with the objective to increase mayonnaise creaminess while fixing the oil concentration to a minimal value of 0.65 w/w. The overall result was that the creaminess could be increased by 22 %, but at the expense of other sensory attributes.

    Original languageEnglish
    Pages (from-to)1133-1138
    Number of pages6
    JournalComputer Aided Chemical Engineering
    Publication statusPublished - 1 Jan 2015
    Event12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering - Copenhagen, Denmark
    Duration: 31 May 20154 Jun 2015


    • Mayonnaise
    • Optimization
    • Sensory attributes


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