Objective: The aim of the course is to provide a basic level of understanding of QCM-D technology, routine applications and operation of Q-Sense instruments and data analysis. The course will provide participants with the theoretical background of QCM-D technology and operating principles. Considerable time will be spent with hands-on instruction of instrument operation as well as surface and sample preparation. Q-Sense methods and protocols collection will be reviewed and used throughout the course. There will be a session on data analysis and introduction to viscoelastic modeling of acquired data. Participants will, after the course, be able to plan, perform and analyze experiments.
Logistics: Courses are normally held at The Rutgers University, New Jersey Center for Biomaterials. Registration is on-line (please note that you will be redirected to another site) or by contacting Q-Sense, Inc. First day dinner and both lunches will be provided to all attendees.
Requirements: Attendees should prepare themselves by studying QCM-D background info, and familiarize themselves with Q-Sense instruments through use or by browsing through this website. All necessary material for the course will be provided including software, lecture notes and other documentation. It is highly recommended to bring your own notebook pc for the data analysis part.
Course content: The schedule covers two full days, 9 am to 5 pm and includes the main blocks below:
Introduction to QCM-D and Q-Sense The theoretical background of QCM-D and Q-Sense instrument operation principles are covered. The Background of QCM, its history and the recent development in the field will be covered as well as detailed description of the operating principle of QCM-D and its implementation in Q-Sense products.
Application and literature overview An overview of the most common experimental applications and the most relevant literature will be given. Common applications include biosensor, biomaterial, hydrogel, supported lipid bi-layers and polymeric processes. Examples from the 400+ scientific articles will be given.
Hands-on instrument training Several training sessions on varying experimental protocols will be covered. Data handling and analysis Introduction to Q-Tools 3 and review of modeling software.
Course schedule:
Day 1
09:00
Welcome
09:15
QCM-D: Theory and Application
10:00
Experimental planning and Methods
10:30
Hands-on training
12:00
Lunch
1:00 pm
Hands-on continued
4:30 pm
QCM-D and Biomaterials
5:30 pm
End of Day 1
7:00 pm
Dinner
Day 2
09:00
Introduction to Data Analysis
09:30
Hands on data analysis
11:00
Hands on training
12:00 pm
Lunch
1:00 pm
Hands on continued
3:00 pm
Hands on data analysis
4:30 pm
Summary and final discussion
5:00 pm
End of Day 2
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