Designing sensorial behaviour of Fabrics.

&G洗涤剂研究不断在现有洗涤剂成分上产生新的和改进的化学变化，以满足消费者习惯和地区需求。这些变化的性能可以通过实验进行评估，包括将人工弄脏的布料放入商业洗衣机中，然后用目测方法确定去污量和布料白度。对于给定的配方，这种评估可能需要长达3天的时间。织物护理是另一个额外的载体，传统上使用聚合物和柔软剂产品来推动所需的性能；消费者测试小组和物理测试通常用于评估织物外观(形状、皱纹)、柔软度(手感)和织物寿命。此外，手感活性物质与其他清洁载体有重要的相互作用，如污渍去除、美白和香水。随着现代经济和环境约束的收紧，需要快速和廉价地确定性能最佳的配方，并在市场上创新新产品。由于洗涤剂和柔软剂配方中有相当多的组分，这种要求导致在有效地优化配方性能方面增加了一层困难。基于第一原理对洗涤物理化学过程的了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。这项建议的目的是建立对洗涤剂化学对阳离子活性物质在织物(天然纤维和合成纤维)上沉积动力学的影响的基本理解，这决定了消费者的看法。能够在多个长度范围内关联织物的特征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.