Get the Most from X-Ray Powder Diffraction Data Using Indexing, Upcoming Webinar Hosted by Xtalks

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In this free webinar, the featured speaker from AMRI will discuss the use of indexing to glean additional information from X-ray powder diffraction data. Example applications of indexing, including demonstrating pure crystalline phase identification, stoichiometry estimation and variable hydrate analysis will be discussed. The speaker will also offer advice for the necessary data quality and analyst skills that are required for successful indexing.

Advice for necessary data quality and analyst skill requirements for successful indexing will be provided.

X-ray powder diffraction data is routinely collected in the pharmaceutical industry in support of solid form development, regulatory submissions, patent applications and lot release. Much of the information encoded in diffraction patterns goes untapped because the data is treated merely as a qualitative fingerprint of the specimen. Quantitative interpretation methods, including indexing, may be used to glean additional information from diffraction data.

Indexing gets its name from the assignment of Miller index labels (hkl) to each of the peaks in a diffraction pattern. The size and shape of the crystallographic unit cell is determined as part of the indexing procedure, which is often more useful than the Miller indices themselves. Applications of indexing include pure crystalline phase identification, stoichiometry estimation and variable hydrate analysis, among others. Although indexing software is available, successful indexing requires good quality data and a skilled analyst to differentiate good solutions from false positives.

Register for this webinar to learn why indexing is a useful tool to glean additional information from X-ray powder diffraction data. The speaker will discuss the applications of indexing, including demonstrating pure crystalline phase identification, stoichiometry estimation and variable hydrate analysis. Advice for necessary data quality and analyst skill requirements for successful indexing will be provided.

Join Dr. Richard McClurg, PhD, Senior Research Scientist, AMRI, for the live webinar on Thursday, January 28, 2021 at 11am EST (4pm GMT/UK) to see how to get the most from X-ray powder diffraction data using indexing.
For more information, or to register for this event, visit Get the Most from X-Ray Powder Diffraction Data Using Indexing.

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Ayesha Rashid
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