Understanding the dynamic interactions during cleaning processes is crucial for improving efficiency. Traditional methods often miss these details, but QSense QCM-D technology provides real-time insights into how cleaning agents interact with surfaces. Join our webinar to explore how this advanced analysis can enhance your cleaning strategies.
Cleaning processes are inherently complex, involving multiple variables such as soil composition, surface material, and environmental conditions like pH and temperature. These factors interact in ways that can significantly impact the effectiveness of a cleaning agent. Traditional analysis methods often miss these nuances, focusing instead on the end result without providing insights into the process itself, Fig. 1. This lack of detailed mechanistic information can obscure the path to achieving optimal product performance and hinder the development of more efficient cleaning solutions.
Figure 1. Before-and-after methods do not reveal any details such as cleaning product - soil interaction, soil removal dynamics, wetting, or soil removal rate.
QSense QCM-D technology addresses these challenges by offering a time-resolved, nanoscale analysis of cleaning dynamics, Fig. 2. This method provides detailed information on key aspects of the cleaning process, including soil wetting, removal rates, surface etching, and soil re-deposition. By capturing these interactions in real-time, QSense QCM-D allows researchers and developers to gain a deeper understanding of how cleaning agents work at the molecular level. This knowledge can help guide the design and development of cleaning products, enabling more informed decisions that can enhance product performance and efficiency.
Figure 2. QSense QCM-D analysis provides time-resolved and nanoscale mechanistic information and offers insight into molecular interaction and cleaning process dynamics. In this example QCM-D analysis is used to compare the soil removal of three different full formulations, A, B, and C, using pure water as reference. The graph shows the time resolved and detailed mechanistic of the process. The QCM-D data is presented as soil thickness as a function of time. The measurement starts with the soil in pure water whereafter the cleaning products are introduced, and the measurement ends with a rinse step. The graph shows distinctly different behaviors between the three products where product A immediately reduces the soil thickness, product B initially swells the soil about 10% before it starts removing soil, and product C swells the soil significantly. In the rinse step, both A and B remove all soil that remains at the surface, and product C reduces the swelled soil thickness to ~90%.
In our upcoming webinar, Dr. Yousra Ben Salah and Dr. Kenneth Olesen from Biolin Scientific will introduce QSense technology and present three case studies that demonstrate how QCM-D analysis can be applied to assess cleaning process dynamics on industry-relevant surfaces. These examples will highlight the technology's ability to provide valuable insights that are essential for optimizing cleaning protocols and advancing cleaning technology.
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Malin graduated in engineering physics in 2006, where her research focused on the QCM-D technology. Since then, she has been scrutinizing the how’s and why’s of the world in general, and the world of QCM-D in particular.
