• Understand what the GMP requirements are for the analytical quality laboratory and stability testing laboratory • Identify which GMP regulations govern the analytical quality laboratory • Use a range of information tools, from the contents of this training in support of analytical testing and stability testing auditing. • Recognize compliance or non-compliance of analytical quality laboratory...

The traditional decision support systems use analytical tools while the latest trend has been using various business intelligence tools. While analytical methods in decisionmaking help the managers in managing organizational resources optimally, knowledgebased intelligent systems help to automate expertise and reuse experience. Instead of solving a problem using a single intelligent technique l...

The quality of water destined for human consumption has been treated as a multivariate property. Since most of the quality parameters are obtained by applying analytical methods, the routine analytical laboratory (responsible for the accuracy of analytical data) has been treated as a process system for water quality estimation. Multivariate tools, based on principal component analysis (PCA) and...

In this Feature we use automatic bibliometric mapping tools to visualize the history of analytical chemistry from the 1920s until the present. In particular, we have focused on the application of mass spectrometry in different fields. The analysis shows major shifts in research focus and use of mass spectrometry. We conclude by discussing the application of bibliometric mapping and visualizatio...

Challenges with using graphs to visualize extremely large entityrelationship datasets include visibility, usability and high degree nodes. Visual aggregation techniques, tools and easily tailorable components are needed that will support answering analytical questions with data description, characterization and interaction without loss of information. We present two case studies of prototype im...

Recent analytical improvements have provided a new wave of geochronology data, but developments in understanding of the analytical process and the application of statistically robust interpretative/visualisation tools have lagged. Some tools are emerging, but there is a strong need for further development. A fundamental concern is simply how to manage the volumes of data now being acquired. Wor...