X-ray diffraction is one of the most powerful techniques that reveals information about the crystal structure of a material. Many considerations and implications rest on the XRD results collected in terms of designing better materials or making decisions on your process control. What would your conclusions be if you notice peak shifts or peak broadening in your sample? What makes a good XRD pattern? What if I am having a low peak to background ratio? During our work with numerous clients, we've noticed that the majority of poor XRD patterns is the result of poor XRD sample preparation and data collection strategies.
This webinar will help the new analysts to improve overall XRD data analysis in particular for pharmaceutical samples. In this webinar, our application specialist will discuss:
- How to optimize particle size, properly grind powder samples, choice of sample holders etc.
- Tips for good quality XRD data collection
- What makes a good vs bad XRD pattern?
- How to tap on XRD software like Malvern Panalytical's HighScore Plus version 5.1 to perform your XRD quantification
Are you from academia? We're offering a free 1 year HighScore software license for professors (up to 3 licenses per university department). More information here
Vortragende
Dr. Mangesh Mahajan, National XRD Application Specialist
Dr. Mangesh Mahajan has a Ph. D. and postdoctoral experience in the field of solid state and materials chemistry from the National Chemical Laboratory, Pune, India. He has expertise in multiple characterization techniques for various types of materials for more than 13 years. He is associated with Malvern Panalytical from last 5 years as an application specialist for X-ray diffraction. During his engagement, he is instrumental in providing application-related support in different industries and research organizations as like in pharmaceuticals, cements, mining and metal industries, universities, national institutions and more.
Weitere Informationen
Who should attend?
- Existing users of XRD or anyone who is interested to learn more about the technique
- Anyone from pharmaceutical analysis
What will you learn?
- Basics to the theory of XRD
- Pointers on how to achieve better data quality, starting with the sample preparation to instrumentation set up
Interested to view more resources on XRD data analysis?
- Scroll for webinars and self-help tutorials here