Peak identification spectroscopic data

Spectroscopic detectors measure partial or complete energy absorption, energy emission, or mass spectra in real-time as analytes are separated on a chromatography column. Spectroscopic data provide the strongest evidence to support the identifications of analytes. However, depending on the spectroscopic technique, other method attributes such as sensitivity and peak area measurement accuracy may be reduced compared to some nonselective and selective detectors. The mass spectrometer and Fourier transform infrared spectrometer are examples of spectroscopic detectors used online with GC and HPLC. The diode array detector, which can measure the UV-VIS spectra of eluting analytes is a... 

LC/NMR in various combinations with LC/UV-DAD, LC/MS, LC/MSMS, LC/IR, and/or LC/CD has been used in many applications related to the online identification of natural products. In this field, the challenge for hyphenated techniques is important since often the characterization of completely unknown molecules is required in very complex biological matrices. In this case, LC hyphenated techniques are used for the chemical evaluation of biologically active fractions or extracts and for dereplication purposes. As full structure assignment is often needed, all online spectroscopic data are taken into consideration. Most applications are performed in the stop-flow mode and extensive 2D NMR correlation experiments are measured. For unknown online determination the need for data is often mandatory. This type of information can be deduced from HSQC and HMBC indirect measurements and very recently it has been demonstrated that even direct measurements were possible in a crude plant extract. For this application the LC peak of interest was preconcentrated by trapping on SPE and the measurement was performed on a cryogenic flow... 

In some cases a principal components analysis of a spectroscopic- chromatographic data-set detects only one significant PC. This indicates that only one chemical species is present and that the chromatographic peak is pure. However, by the presence of noise and artifacts, such as a drifting baseline or a nonlinear response, conclusions on peak purity may be wrong. Because the peak purity assessment is the first step in the detection and identification of an impurity by factor analysis, we give some attention to this subject in this chapter. 

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