Designing sensorial behaviour of Fabrics.

&G洗涤剂研究不断在现有的洗涤剂成分上产生新的和改进的化学变化，以满足消费者的习惯和区域需求。这些变化的性能可以通过实验来评估，这包括将人工弄脏的织物放入商用洗衣机，然后通过视觉手段确定去除的土壤量和织物的白度。对于某一配方，这种评价可能需要3天。织物护理是另一个额外的载体，传统上使用聚合物和柔顺剂产品来驱动所需的性能；消费者测试面板和物理测试通常用于评估织物外观（形状、褶皱）、柔软度（手感）和织物寿命。此外，感觉活性物与其他清洁载体有重要的相互作用，如去污剂、白度和香水。随着现代经济和环境限制的收紧，有必要快速和廉价地确定最佳性能的配方，并在市场上创新新产品。由于洗涤剂和软化剂配方中含有相当数量的成分，这种要求在有效优化配方性能方面造成额外的困难层。基于对洗涤的物理-化学过程的基本原理理解的预测工具在评估织物护理性能方面显示出巨大的潜力。本提案的目的是建立对洗涤剂化学对织物（天然和合成纤维）阳离子活性沉积动力学的影响的基本理解，这决定了消费者的看法。在多个长度尺度上关联织物特征的能力将是开发颠覆性技术以应对上述挑战的关键推动因素。

&G detergent research constantly yields new and improved chemical variations on existing detergent components that meet consumer habits and regional needs. The performance of these variations can be experimentally evaluated, which involves placing artificially soiled fabrics into commercial washing machines, followed by determining the amount of soil removed and the degree of fabric whiteness by visual means. Such evaluation could take up to 3 days for a given formulation. Fabric care is another additional vector that is delivered traditionally using polymers and softener products to drive the desired performance; consumer test panels and physical testing are often conducted to assess fabric appearance (shape, wrinkles), softness (feel) and fabric longevity. Additionally, feel actives have important interactions with other cleaning vectors such as stain removal, whiteness and perfume. As modern day economic and environmental constraints tighten, there is a need to quickly and cheaply determine the optimally performing formulation and innovate with new products in the market. Such demands result in an extra layer of difficulty in efficiently optimising the performance of a formulation due to the considerable number of components in a detergent and softener formulation. Predictive tools based on first principles understanding of the physic-chemical process of washing have shown immense potential in assessing fabric care performance. The aim of this proposal is to establish the fundamental understanding of the effect of detergent chemistry on the deposition kinetics of cationic actives on fabrics (natural and synthetic fibers), which determines the consumer perception. Ability to correlate the characteristics of fabric at multiple length scales will be a key enabler to develop disruptive technologies in meeting the challenges aforementioned.