A multi-component stochastic resonance algorithm that can be used to detect multiple weak chromatographic peaks simultaneously
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 multicomponent. 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.
Haishan Deng Erxin Shang Yuping Tang Jin-ao Duan Bingren Xiang Shaofei Xie
Jiangsu Key Laboratory for TCM Formulae Research College of Pharmacy Nanjing University of Chinese M Center for Instrumental Analysis China Pharmaceutical University Nanjing 210009, China Guangzhou Institute for Drug Control Guangzhou 510160, China
国际会议
成都
英文
1-4
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）