Data Acquisition, Handling, and Archiving

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Tired of life as your analytical results are always out of specification (OOS)? Fed up with yet another laboratory investigation? Get those rotten chromatograms to generate passing results by learning ways to manipulate peak integration from the experts... and now I have your undivided attention...and how reviewers, QA and inspectors can detect them!

Are you interested by ChatGPT's vast potential? Or are you getting tired of reading or hearing about ChatGPT? If the latter, this blog post might give you some tips and tricks on taking advantage of ChatGPT while avoiding its application beyond its intended scope.

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We interviewed an AI program (ChatGPT) for LCGC North America asking questions about AI and its role in various applications for separation science to include data analysis, and high performance liquid chromatography (HPLC), hydrophilic-interaction chromatography (HILIC), reversed-phase liquid chromatography (RPLC), liquid chromatography–mass spectrometry (LC–MS), gas chromatography–mass spectrometry (GC–MS), high resolution mass spectrometry (HRIM–MS), high resolution tandem mass spectrometry (HRMS/MS), and related topics.

The term orphan data is used frequently in the context of data integrity. What does it mean for chromatography data systems? How can we prevent or detect orphan data?

A balance printout is a fixed record, and is also called static data. But how static are static data when the weight is used in a chromatographic analysis? Also, have some regulatory data integrity guidance documents failed to comply with their own regulations?