Chromatography

HPLC Fingerprinting in Bioinformatics & Computational Biology

HPLC ways are applied for the sanctification and separation of colourful natural samples. The anatomized samples are subordinated to sequencing studies either manually or using different software. This is studied as data mining and sequence analysis. HPLC is also used for the characterization of colourful metabolites.

Characteristic is a quality control model that builds upon spectroscopic and chromatographic technology. It's different from the traditional quality control model in the sense that characteristic looks at the “complete information” or comprehensiveness of the chromatograph, and displays integrated quality information. Since the secondary metabolites, which are chemical factors of medicinal sauces, are innately unstable, the fingerprints of these chemicals retain a fuzziness that cannot be precisely measured, just like the fuzzy miracle in our diurnal lives. Comprehensiveness and fuzziness are the two introductory traits of a point. The similarity of fingerprints is established through these introductory traits. Point analysis focuses on accurate identification (of analogous peaks), and not on precise computation. The comparison of fingerprints emphasizes similarity and the fingerprints compared don't need to be exactly the same. When it's insolvable to find out all the complex factors of traditional drugs, fingerprints can be used to check the stability of the natural quality of the drug.