Process analytical technology advantages

These four very different NIR technologies represent the mainstream analyzer types used in many process analytical technology applications. They also cover the main types of established commercially available analyzers. Given their various characteristics and the physical principles upon which they are based, it is obvious that they will have different advantages and disadvantages depending on the detailed circumstances of the application. These issues will be covered in more detail below. 

Advantages and Limitations of NMR as a Process Analytical Technology 10.5.1 Advantages... 

Aside from univariate linear regression models, inverse MLR models are probably the simplest types of models to construct for a process analytical application. Simplicity is of very high value in PAC, where ease of automation and long-term reliability are critical. Another advantage of MLR models is that they are rather easy to communicate to the customers of the process analytical technology, since each individual X-variable used in the equation refers to a single wavelength (in the case of NIR) that can often be related to a specific chemical or physical property of the process sample. 

Infrared spectroscopy is a powerful alternative analytical technology for process monitoring which has found wide application as an off-line method in the chemical and food industries. The additional advantage over other methods is that in many circumstances it is possible to quantify a number of components simultaneously. 

The LC-NMR instrument is a very attractive analytical tool in that it has the potential to provide a great deal of data detailing many structural features in an inline mode. The principle advantage to using hyphenated NMR technology is that in most cases one can collect NMR and MS data on the same sample reducing the possibility of decomposition during the isolation and sample preparation process. 

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