ANTENNA - Advanced tools for predictive cleaning in a world of resource scarcity

ANTENNA - 在资源匮乏的世界中进行预测性清洁的先进工具

• 批准号: EP/V056891/1
• 负责人: Mark Wilson
• 金额: $ 278.92万
• 依托单位: Durham University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FV056891%2F1
• 关键词: ANTENNA; Advanced; tools; predictive; cleaning

The ANTENNA programme aims to deliver new analysis and modelling tools to provide a step-change in formulation chemistry. These new tools will provide a transformation in the mechanisms, predictive models and experimental methods that will translate consumer cleaning tasks into tomorrow's formulations. Thereby providing a means of meeting the sustainability challenges of reduced water use, reduced energy use, fewer microfibres and the use of more sustainable chemistries.The Consumer Goods Cleaning Sector is facing four key sustainability challenges:1) Water: In many parts of the world water is becoming a scarce resource. Globally sustainable levels of water consumption (50 L/person/day, or ~1/3 of current UK usage) require a redesign of everyday cleaning tasks.2) Energy & Emissions: 80% of a washing machine's energy consumption arises from heating the water. The use phase of cleaning products, especially those that use hot water, provides an excellent opportunity to reduce domestic indirect Greenhouse Gas Emissions in homes.3) Garment lifespan: recent research shows that quick and cool wash cycles are key to reducing the number of microfibers released into the environment. Sensitive cleaning can extend garment lifespan and reduce clothes waste to landfill.4) Sustainable & efficient chemistry: reducing the environmental footprint of cleaning chemistries where today conventional materials are used in excess to compensate for water hardness, slow kinetics and non-selective modes of action. These sustainability challenges (relevant for the UK and beyond) are set to disrupt the industry and will require transformative solutions to redesign consumer cleaning tasks, based on a mechanistic understanding of the underpinning science and engineering. They cannot be developed incrementally from current products, even when augmented with High Throughput Experimentation & Machine Learning. These challenges require new formulations for cleaning products. However, to design these formulations is a formidable task. i) Unfavourable interactions between formulation components is a major problem in the development of new products (e.g., incompatibilities between bleach, enzymes and complex surfactant-polymer interactions). ii) The ability to deposit surface protection agents (e.g., soil release, anti-microbial) is often required in a wash environment that is usually optimised for cleaning and complete removal of soils from substrates. iii) The kinetics of favourable/unfavourable transformations must be understood to introduce novel sequenced chemistry solutions with minimum environmental footprint. The overall vision of this proposal is, therefore, to provide new "game-changing" experimental and theoretical tools to improve on the current formulation development process and tackle the sustainability challenges identified above. These tools will accelerate testing of cleaning actives, allow the effects of the chemistry to be quantified and separated from flow and mechanical agitation; and will vastly improve the speed of formulation development and screening.

ANTENNA 计划旨在提供新的分析和建模工具，以实现配方化学的重大变革。这些新工具将带来机制、预测模型和实验方法的转变，将消费者的清洁任务转化为未来的配方。从而提供了一种方法来应对减少用水、减少能源使用、减少微纤维和使用更可持续的化学品等可持续发展挑战。消费品清洁行业面临着四个关键的可持续发展挑战：1) 水：在世界许多地区水正在成为一种稀缺资源。全球可持续的用水水平（50 升/人/天，或英国目前用水量的约 1/3）需要重新设计日常清洁任务。2) 能源和排放：洗衣机 80% 的能源消耗来自加热洗衣机水。清洁产品的使用阶段，尤其是使用热水的清洁产品，为减少家庭间接温室气体排放提供了绝佳的机会。3) 服装寿命：最近的研究表明，快速、凉爽的洗涤周期是减少微纤维数量的关键释放到环境中。敏感清洁可以延长服装寿命并减少垃圾填埋的衣物浪费。4) 可持续且高效的化学：减少清洁化学品的环境足迹，目前传统材料被过量使用以补偿水硬度、缓慢的动力学和非选择性作用模式。这些可持续性挑战（与英国及其他地区相关）势必会扰乱该行业，并且需要基于对基础科学和工程的机械理解，采用变革性解决方案来重新设计消费者清洁任务。即使通过高吞吐量实验和机器学习进行增强，它们也无法从当前产品中逐步开发。这些挑战需要清洁产品的新配方。然而，设计这些配方是一项艰巨的任务。 i) 配方成分之间不利的相互作用是新产品开发中的一个主要问题（例如漂白剂、酶和复杂的表面活性剂-聚合物相互作用之间的不相容性）。 ii) 在清洗环境中通常需要沉积表面保护剂（例如去污剂、抗微生物剂）的能力，该清洗环境通常针对清洁和完全去除基材上的污垢进行优化。 iii) 必须了解有利/不利转化的动力学，以引入具有最小环境足迹的新型测序化学解决方案。因此，该提案的总体愿景是提供新的“改变游戏规则”的实验和理论工具，以改进当前的制剂开发过程并应对上述可持续性挑战。这些工具将加速清洁活性物质的测试，允许量化化学效应并将其与流动和机械搅拌分开；并将大大提高制剂开发和筛选的速度。

项目成果

Tunable Structural Color with Gradient and Multiaxial Polydimethylsiloxane Wrinkling

具有梯度和多轴聚二甲基硅氧烷起皱的可调结构颜色

• DOI: 10.1002/adom.202200964
• 发表时间: 2022-06-16
• 期刊: Advanced Optical Materials
• 影响因子: 9
• 作者: Annabelle Tan;L. Pellegrino;Zain Ahmad;J. Cabral
• 通讯作者: J. Cabral

Investigating anionic surfactant phase diagrams using dissipative particle dynamics: development of a transferable model

使用耗散粒子动力学研究阴离子表面活性剂相图：可转移模型的开发

• DOI: http://dx.10.1039/d2sm01641a
• 发表时间: 2023
• 期刊: Soft Matter
• 影响因子: 3.4
• 作者: Gray S

Microfluidic in-line dynamic light scattering with a commercial fibre optic system

使用商用光纤系统进行微流体在线动态光散射

• DOI: http://dx.10.1039/d3lc00062a
• 发表时间: 2023
• 期刊: Lab on a Chip
• 影响因子: 6.1
• 作者: Torquato L

A many-body dissipative particle dynamics parametrisation scheme to study behaviour at air-water interfaces.

用于研究空气-水界面行为的多体耗散粒子动力学参数化方案。

• DOI: 10.1039/d3sm00276d
• 发表时间: 2023-05-10
• 期刊: Soft matter
• 影响因子: 3.4
• 作者: Rachel L Hendrikse;C. Amador;M. Wilson
• 通讯作者: M. Wilson

Composition and temperature effects on the solution structure of SDS/octanol/brine by SANS, NMR and microscopy.

通过 SANS、NMR 和显微镜观察组成和温度对 SDS/辛醇/盐水溶液结构的影响。

• DOI: http://dx.10.1039/d3sm01098h
• 发表时间: 2023
• 期刊: Soft matter
• 影响因子: 3.4
• 作者: Donina L