KalphaTech
Case study Exsolidus® Detect Pharmaceutical manufacturing

Detecting an unwanted crystal form in an antibiotic API

Overlapping peaks masked a minor, unwanted form in laboratory PXRD data. Exsolidus Detect brought it into view and gave the team an estimate of how much was there.

Published · 3-minute read

At a glance

  • ChallengeVerification of API purity and crystallization of the desired form. 
  • What we didProcessed the existing laboratory PXRD pattern with Exsolidus Detect. For validation, we prepared samples with known impurity quantities. 
  • ResultAfter processing with Exsolidus Detect, we could identify the unwanted form.

The challenge

The API should contain one crystal form. A second, unwanted form can appear during crystallization, and even a small amount raises hard questions. Is it really there? How much is there? Is there still time to act?

In laboratory PXRD, the two forms overlap heavily. The minor form’s peaks sit in the shoulders of the main pattern, so the raw measurement alone leaves the answer uncertain.

Data and conditions

Material
Antibiotic API, anonymized: the desired form with a suspected minor second form
Instrument
Laboratory powder diffractometer 
Analysis
Exsolidus Detect processing workflow.

Our approach

We ran the measured pattern through Exsolidus Detect. It removes the instrument and sample effects that broaden peaks, so features that overlapped in the raw data separate.

Phase analysis of the processed pattern then modeled the desired form and the suspected second form side by side.

Comparison of measured and Exsolidus-processed PXRD patterns for an antibiotic API. Sharper features in the processed pattern help distinguish a minor unwanted crystal form. A separate trace shows its modeled contribution.
Figure 1. Laboratory PXRD data before and after Exsolidus processing. Features of the unwanted crystal form become clearer in the processed pattern. The additional trace shows the modeled contribution of that form. Traces are scaled and offset for comparison.

Results

After processing, the second form no longer disappears into the shoulders of the main peaks. The analysis supported its identification and gave an estimate of its share of the sample.

An ambiguous pattern became a clear next step: investigate the unwanted form, compare batches from different crystallization conditions, or build a method to monitor it.

What it means for production

Run on samples taken during crystallization, the same approach can flag an unwanted form while the process can still be adjusted, rather than at release testing. That lowers the risk of an out-of-specification batch, on the diffractometer you already have.

For R&D, it shows how crystallization conditions shift solid-form composition. For QC, it is the starting point for a PXRD method built around the forms and reporting levels that matter for your API.

Discuss a PXRD method for your API

Bring a challenging dataset and the decision your team needs to make. We will show you what Exsolidus Detect can do with it, for crystallization development or a QC method.

Discuss your PXRD challenge

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