Hi everyone!
Let’s be honest: working with nitrosamines means dealing with one of the most demanding topics in analytical chemistry today. Ultra-sensitive methods, challenging matrices, high-stakes regulatory decisions. And in the middle of all this, it’s common to wonder: “Has someone else already faced the same problem I’m dealing with in the lab right now?”
With the launch of the Analytical Hub expansion, we now have a space to do just that: exchange real experiences, share data, and collaboratively build stronger solutions to the analytical challenges we all face.
This isn’t about having all the answers — it’s about starting a practical and open conversation. So I’m sharing a few points below to get us started.
1. Matrix Complexity
Different sample types demand tailored sample prep strategies, and matrix effects are real and often underestimated.
Some key approaches include:
• Use of stable isotope-labeled internal standards;
• Optimizing LC conditions;
• Controlled sample dilution;
• Standard addition calibration.
2. Regulatory Compliance & Analytical Performance: do you trust the data you generate?
We don’t just work with numbers — we work with decisions. And when it comes to nitrosamines, even a small signal issue can turn into a major regulatory headache.
That’s why understanding performance characteristics is crucial — but not always straightforward.
References:
A multianalyte LC-MS/MS method for accurate quantification of Nitrosamines in Olmesartan tablets
This post is an open invitation — not to close a topic, but to open space for real exchange.
- If you’ve faced challenges with a specific matrix,
- Adapted a technique to your local context,
- Or found a paper that shifted your analytical perspective — please, share it here. Even if you’re sharing published articles, feel free to bring your points of disagreement as well.
The Hub only makes sense if we feed it with real experiences, live data, and applied knowledge.
Lucas Maciel