Regenerating used QCM sensors can seem to be a resource efficient way of running experiments. However, we generally do not recommend this approach. In this post, we explain why.
Cleaning used QCM sensors to be able to use them again could be considered a resource efficient approach seemingly saving both time and money. We often get questions on how to remove different types of samples from used sensors to make sure the surface is clean and back to the state it was before it was used in a measurement. Our general answer to this question, however, is that we do not recommend reusing sensors. The reason is that we as suppliers can only guarantee the quality of the sensors when they come directly from us, i.e., when they are new and unused. When you get the sensors from us, we can say that this is a good sensor, we know what’s on top of the surface and so on. But if you have used it once, and then try to remove the sample from the sensor surface, maybe you are not completely successful. There may be some leftovers from the old sample remaining at the surface and you might even change the chemical composition and/or the surface roughness of the sensor. This would mean that in the next experiment, you will not start with the same surface as you had in the previous one. If this is the case, you cannot expect high measurement reproducibility. This aspect is worth emphasizing because sensor regeneration is such a common question.
There might be cases where the measurement reproducibility is not that critical. Perhaps you are only after a yes/no kind of answer. Then reusing the sensor could potentially work for that purpose. However, it is then the responsibility of you as a user to evaluate if the data quality or reproducibility is good enough, we as supplier cannot take responsibility for the result.
If you want to learn more about QCM-D measurement best practice, we share some tips and tricks in the pod episode Collecting quality data with QCM-D – what to consider and pitfalls to avoid.
QCM-D is a powerful tool in the analysis of lipid-based systems
If you are looking for a high-end instrument but cannot determine whether it is the Pro or Omni that will best suit your needs, here is the guide for you
Explore the key factors influencing QCM baseline stability and get advice on management strategies
Learn more about how dissipation can be measured in QCM:s and the pros and cons of the different methods.
Read about how QSense QCM-D was used to study antibody fouling on steel surfaces.
Read about what determines the sensing depth of the QCM-D technology and get examples of typical values
Watch the webinar
Read the guidelines on how to decide which QCM instrument will be the most suitable for your needs
Read about how protein adsorption at various surface and solution conditions quickly can be measured
Jennie is Global Technical Product Manager for QSense at Biolin Scientific. She has a Master of Science in Bioengineering from Chalmers University of Technology and spent the first years after graduation focusing on membrane proteins and how to identify and characterize these in the best way. At Biolin Scientific, she has also worked as an Application Specialist for QSense, In-House Sales Manager, and Academy Manager.