Even with robust preventative maintenance practices and schedules in place, sometimes problems appear that affect data quality and need to be resolved as quickly as possible.
The data itself is often the best source of information about what might be wrong. The shape of a peak or the baseline can direct troubleshooting efforts. This guide relates those chromatographic clues with their probable causes. It also includes tips to consider when deciding if your preventative maintenance program could be updated to stop a problem from occurring in the first place.