DocumentCode :
3108358
Title :
A Multi-Component Stochastic Resonance Algorithm That Can Be Used to Detect Multiple Weak Chromatographic Peaks Simultaneously
Author :
Deng, Haishan ; Shang, Erxin ; Tang, Yuping ; Duan, Jin-ao ; Xiang, Bingren ; Xie, Shaofei
Author_Institution :
Jiangsu Key Lab. for TCM Formulae Res., Nanjing Univ. of Chinese Med., Nanjing, China
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
A new stochastic resonance algorithm based on the method of energy gain was developed by introduce an external energy field upon the chromatographic signals in order to simultaneously amplify and detect weak peaks from multi-component. The experimental weak chromatographic peaks from Para Red and Sudan I ~ IV were analyzed using the new algorithm. It was suggested that the proposed algorithm might avoid depressing the peak from the component with low concentration or weak chromatographic response. The weak chromatographic peaks from the samples with different concentrations were all amplified significantly. It is expected that multi-component stochastic resonance algorithm will play an important role in the rapid analysis of complex samples, such as multi-residue analysis and detection of TCM trace active substances.
Keywords :
biochemistry; chromatography; stochastic systems; tracers; Para Red; Sudan I-IV; TCM trace active substances; energy gain; external energy field; multicomponent stochastic resonance algorithm; multiple weak chromatographic peaks; multiresidue analysis; multiresidue detection; Algorithm design and analysis; Educational institutions; Laboratories; Medical signal detection; Nonlinear systems; Pharmaceuticals; Signal analysis; Signal to noise ratio; Stochastic resonance; Strontium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
ISSN :
2151-7614
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
Type :
conf
DOI :
10.1109/ICBBE.2010.5515852
Filename :
5515852
Link To Document :
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