• 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