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: Course will be held at Rutgers University, New Jersey Center for Biomaterials. Registration is on-line (please note that you will be redirected to another site) at EventBrite or by contacting Q-Sense, Inc. First day dinner and both lunches will be provided to all attendees. For more information, please contact Archana Jaiswal at archana.jaiswal@q-sense.com.
Hotel accommodations are currently available at the Radisson Hotel Piscataway, NJ 08854. Q-Sense has reserved a block of rooms at a discounted rate US$89.00 per night. Pick up will be at 08.15 am from the hotel, light breakfast will be served at Rutgers.
Registration/Fees: See registration site, click here.
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 February 23-24, 2010 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 150+ 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.
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