PITTCON

LIMS systems are useful in managing certain types of data for quality management and sample tracking, however these systems are generally limited in the types of information they can process and store. A unique automated quality management system has been developed and implemented, at a fragrance manufacturer, which incorporates not only conventional capabilities of sample tracking and LIMS systems but also uses chromatographic and spectral data, linking all of this information to discrete samples in a single database. The system also carries out comparison and logic testing to further automate the quality process using software algorithms to make critical decisions about the quality of each sample. Samples are moved through the system and certificates of analysis, or requests for further testing, are generated. The quality management system has been independently audited and has been shown to result in a measurable increase in the effectiveness and efficiency of the manufacturing operation. This poster will outline some of the challenges, and how they were overcome in designing and implementing a functional system that could satisfy the needs of the operation with minimal manual attendance.

This course will focus on simple and easy to understand LC/MS approaches for structure identification. Practical advantages of LC/MS-based methods and MS/MS techniques are highlighted with straightforward tips for spectral interpretation. LC/MS/MS applications for the structure analysis of metabolites, impurities, natural products, and biomolecules are reviewed in logical and stepwise detail. Real world examples will be highlighted with case studies that involve the analysis of Paclitaxel, Buspirone, Sotolol, and Butorphanol. The role of emerging role of higher performing instrumentation, software, and structure databases will be illustrated.