Automated storage of gas chromatography–mass spectrometry data in a relational database to facilitate compound screening and identification

Efficient analysis of Py-GC/MS data by a large scale automatic database approach: An illustration of white pitch identification in pulp and paper industry

“…Expert systems have been developed to support the analyst by revealing properties of unknown samples [12,13]. A further step of automation has been done by Staeb et al [14], Boyke Bunk [15], Kadokami et al [16] where the analyst is supported by software with a graphically rich user interface. In addition, there exists commercial applications that aim for supporting analysts.…”

Development of an AE data management and analysis system

“…Although some literature on the use of relational databases for managing condition monitoring data has been published, the proposed models are primarily, either for storing and mining data [1][2][3], or as configuration management tools [4]. No reports have been found where these systems are used to drive the analysis of data in a structured way.…”

Rapid classification of perfumes by extractive electrospray ionization mass spectrometry (EESI‐MS)

“…[1][2][3][4] However, in cases where time is a factor, e.g. for online quality control of products in the perfume industry, this strategy may turn out to be unacceptably slow.…”