Through extracting a number of fingerprint characteristics with Genetic Algorithms (GA), the classification of phytoplankton is refined and a new method, which is based on fluorescence fingerprint characteristics, for rapid classification and identification of phytoplankton is established.

Fluorescence fingerprint technique was used to characterize dissolved organic matter(DOM) in river from different sources.

Because of differences of pollutants and their concentration,fluorescence spectrum is unique for each sample,named "fluorescence fingerprint".

By the oil-water characteristics test under the fluorescent microscope,the fluorescent characteristics of oil, water-in-oil, oil-in-water, oil-bearing water and water are obtained respectively.

Quality control of Scutellaria baicalensis extract with fingerprint characteristic;

According to the difference of personal fingerprint characteristics,one or two of them will be captured with the fingerprint-sensor,and the fingerprint characteristic that has been picked up as a field is kept in to the database with the field of the relevant name.

Method: HPLC was applied for establishment of fingerprints,which were used to evaluate and distinguish the different species of Selaginella.

The objective of this study was to investigate the fingerprints of soils and sands originated from three regions in the Inner Mongolia, one of the major source areas where Asian continental sandstorms (ACS) are blown from.

HPLC Profile Analysis of Ciwujia Injection;

Study on TLC Profile of Pheretima aspergilhun and Pheretima (Dilong) Injection;