Chromatography information processing

Section I of this book includes chapters on the principles and practice of PLC. After this introductory Chapter 1, Chapter 2 provides information on efforts undertaken to date in order to establish the theoretical foundations of PLC. With growing availability and popularity of modem computer-aided densitometers, separation results can be obtained in digital form as a series of concentration profiles that can be relatively easily assessed and processed. From these, relevant conclusions can be drawn in exactly the same manner as in automated column chromatographic techniques. Efforts undertaken to build a theoretical foundation of PLC largely consist of adaptation of known strategies (with their validity confirmed in preparative column liquid chromatography) to the working conditions of PLC systems. 

The overall objective of the system is to map from three types of numeric input process data into, generally, one to three root causes out of the possible 300. The data available include numeric information from sensors, product-specific numeric information such as molecular weight and area under peak from gel permeation chromatography (GPC) analysis of the product, and additional information from the GPC in the form of variances in expected shapes of traces. The plant also uses univariate statistical methods for data analysis of numeric product information. 

Figure 2.6. LC-tandem mass spectrometry to examine complex mixtures. The mixture of many different proteins is digested to yield peptides and the peptides are resolved into fractions hy cation exchange chromatography followed by reverse phase chromatography. The fractionation steps resolve the peptides into fractions that he processed hy tandem mass spectrometry to yield sequence information suitable for database searching.

Conventional techniques such as solvent extraction followed by gas chromatography mass spectrometry (GCMS), and acid digestions followed by GCMS have all been performed on meteorite samples but all information about the location within the sample is lost during a digestion processes. However, microprobe laser desorption studies allow the profiling of material within the meteorite sample. 

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