Process analytical technology objective

The objective of this chapter is to reduce the learning curve for the application of near-infrared (NIR) spectroscopy, or indeed any process analytical technology, to the chemical industry. It attempts to communicate realistic expectations for process analyzers in order to minimize both unrealistically positive expectations (e.g. NIR can do everything and predict the stock market ) and unrealistically negative expectations (e.g. NIR never works don t waste your money ). The themes of this chapter are value and... 

The objectives of this chapter are to discuss the FDA s Process Analytical Technology (PAT) framework using selected literature examples on granulation... 

A lot of natural as well as technological objects of analytical control are colloidal systems, i.e. human blood, biological liquids, sol and suspension forming in different technological processes (ore-dressing, electrochemical deposition, catalysis and other), food, paint-and-lacquer materials, sewage water and other. 

Center for Process Analytical Chemistry CPAC is an industry university consortium headquartered at the University of Washington. The team of faculty members, research staffers, visiting scientists, and graduate students conducts research at I 0 university nationwide and works with companies to develop technology. The charter focuses on chemometrics, sensors, spectroscopy, chromatography, and microflow analysis. The main objective is to develop real time measurement and relevant data handling techniques. 

A pilot production is at about a lOOx level in general, the full scale-batch and the technology transfer at this stage should comprise preformulation information, product development report, and product stability and analytical methods reports. This is the time to finalize the batch production documentation for the lOOx level. The objectives of prevalidation trials at this stage are to qualify and optimize the process in full-scale production equipment and facilities. 

In linear multivariate data analysis (MDA) of a set of analytical data, the most common model is that linear relationships exist within the data that can be revealed, for example, in the principal components analysis (PCA) or linear discriminant analysis (LDA). Analytical data may represent the analyte concentrations of the multicomponent mixture, a spectrum of any kind, the results of clinical laboratory tests, the status of a technological process at a given time, etc. The classification of the investigated objects by the MDA techniques is an important task, which provides interpretation of complex problems, often... 

Analytical chemistry plays an important role in the study of art and archaeological materials. Such study has a variety of aims. Some of the most important aims when artifacts are investigated concern the study of the technology used to produce them, to reconstruct their distribution from the production areas, and to understand the use to which they were put in the past. The behavior of ancient people is better understood with the interpretation of such information. Long-term storage often tends to obscure chemical information that contributes to the above-mentioned aims. It is thus important to understand at the deepest possible level all the altering processes that intervene in the life cycle of the ancient object. 

---