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Analytical insights from the NIR Professor.
March 4, 2024
By: Emil W. Ciurczak
Independent Pharmaceuticals Professional
As the saying goes, “If you assume, you make an A – – out of U and Me.” We so often assume that something is going to happen or is a certain value without actually measuring. For example, when we go out of the house, we assume that the other drivers will be courteous and well-behaved (even though the U.S. has nearly 50,000 traffic fatalities, yearly). In one case, which I mentioned in a previous column, is the certificate of analysis (CoA). We assume that the information on the CoA is both accurate and sufficient for us to use the material(s) for our dosage forms. There are several assumptions in this: 1. The methods used by the supplier give useful information. An example of data, not information, is the USP sieve analysis of powders. Passing materials through, say, a 100-mesh sieve shows that a 120-mesh material is fine when “not more than 1% is retained on the screen.” Sadly, it will not show that the material is micronized, not granular. You will also get a false positive for materials like caffeine that appear to have a range of particle sizes, even though the material is normally of micronized level, but the strong electrostatic charge makes it appear to be of larger particle size. It also didn’t help that the supplier sold these agglomerates as granular, mesh sizes of 80, 100, and 120 mesh! 2. The supplier actually performed the full battery of tests and didn’t simply assume that, if a few were OK, they didn’t need to actually perform the other tests, just list “traditional values” for the rest. 3. They actually performed the tests and didn’t just assume that, since their product has never failed, why bother testing your lot? 4. Last, but not least, do the tests run tell you anything about how the material will work in a process or are they merely compendial tests, predating even GMP? In other words, as many companies now do, it would be wise to both see which release tests your supplier uses and be sure they actually give the information you need to make your product. If your supplier does not care (or is unable) to change methods you can either change suppliers or do the necessary tests, in house. This is where critical performance parameters (CPP) come into play, being the cornerstone for QbD and continuous manufacturing (CM).
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