Page 39 - FoodFocusThailand No.235 October 2025
P. 39

STRONG QC & QA
                   Why Texture Matters:


                   Scientific Tools for Perfecting


                   Emulsion Product Texture




                    Imagine the  moment  you  squeeze  or  scoop         Ensuring consistent texture in commercial emulsion products
                    a creamy salad dressing, mayonnaise, or           poses a challenge for manufacturers. Texture is a complex set
                                                                      of physical properties — spreadability, creaminess, viscosity,
                    sauce—it flows smoothly, clings just right, and   cohesiveness, adhesiveness, and flow behavior, which may vary
                    coats your food perfectly with a silky, uniform   with even minor changes in ingredients, processing conditions, or
                                                                      storage. Therefore, precise control is crucial, not only for consumer
                    layer. Such characteristics convey an image of    satisfaction but also for brand credibility.
                    a high-quality, appetizing product. In contrast,
                    if  these  kinds  of  products  are  watery  drips,   Research Approaches on Texture in
                                                                      Emulsion Products
                    stubborn clumps, or uneven coverage. It can       Nowadays, many consumers are turning to healthier food choices.
                    negatively affect consumer perception and         Therefore, research and product development have become
                                                                      essential to meet market demand and provide better options.
                    reduce overall satisfaction. Therefore, variations   An interesting study by Leahu et al. (2023) developed a low-fat
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                    in flow behavior and texture are critical factors   mayonnaise-like vegan emulsion gel using by-products from oil
                                                                      extraction — sesame cake and walnut cake — while corn starch
                    that determine the quality of food products.      was used as the control. Both texture analysis and sensory
                                                                      attributes were investigated. The results showed that adding
                                                                      sesame cake and walnut cake reduced hardness by 79.16% and
                                                                      76.66%, respectively, while increasing springiness by 49.25% and
                                                                      65.67%. The sample with 2% sesame cake (SO1) received the
                                                                      highest average score of 8.85 ± 0.02, as tested by 20 panelists
                                                                      for sensory acceptance, which was very close to the commercial
                                                                      mayonnaise product. According to the results, customers preferred
                                                                      a  smooth,  soft  texture  that  felt  light  and  creamy. The  study
                                                                      demonstrated that combining a texture analyzer with sensory
                                                                      evaluation can guide researchers in developing new products that
                                                                      meet consumer expectations. (Figure 1)
                                                                         Schädle et al. (2022)  studied the development of a low-fat
                                                                                          2
                                                                      mayonnaise product using fat replacers in the formulation. They
                                                                      investigated physical properties such as texture analysis, tribology,
                                                                      rheology, and sensory evaluations. Moreover, correlations between
                                                                      instrumental measurements and sensory tests were analyzed.
                                                                      According to the study, using corn dextrin at concentrations
                                                                      of 4% or higher resulted in significantly greater firmness and
                                                                      stickiness compared to the control. These two parameters are
                                                                      essential, as they strongly influence mouthfeel. Twelve panelists
                                                                      participated in the sensory evaluation. Samples containing 4%
                                                                      or more corn dextrin received the highest scores for firmness,
                                                                      stickiness, and creaminess. Furthermore, correlation analysis
                                                                      between instrumental methods and sensory evaluation showed
                                                                      that instrumental analysis could reliably predict firmness. These
                                                                      findings can be applied to improve product quality.
                                                                         This is where texture analysis (instrumental methods) becomes
                                                                      essential for manufacturers. It provides reliable and reproducible
                                                                      data that enable R&D, QC, and QA teams to develop, monitor,
                                                                      and control product quality with greater precision than sensory
                                                                      evaluation by panelists alone. However, using both methods
                                                                      together  can  ensure  a  more  consistent  and  comprehensive
                                                                      quality assessment. Even if a product has excellent flavor, an
                                                                      unacceptable texture can be a decisive factor that prevents
                                                                      consumers from repurchasing.



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