Title :
Stochastic Resonance Algorithm for Enhancement of Signal-to-Noise Ratio of HPLC/MS Signal
Author :
Chen, Chang-Yun ; Xie, Shao-Fei ; Deng, Hai-Shan ; Xiang, Bing-Ren
Author_Institution :
Dept. of Chem., Nanjing Xiaozhuang Univ., Nanjing, China
Abstract :
Based on the theory of stochastic resonance, a new method was presented to enhance signal-to-noise ratio (SNR) of HPLC/MS signal for trace analysis with a new optimization method of the system parameters. The method was applied to experimental weak signals of HPLC/MS, which was embedded in the noise background and the SNR was enhanced greatly. The LOD and LOQ were improved from 10 ng/ml and 25 ng/ml to 2 ng/ml and 5 ng/ml, respectively. The results showed an excellent quantitative relationship between concentrations and chromatographic responses.
Keywords :
chromatography; mass spectroscopic chemical analysis; mass spectroscopy; signal denoising; spectroscopy computing; stochastic processes; HPLC/MS signal; LOD; LOQ; SNR; chromatographic responses; concentrations; optimization method; quantitative relationship; signal-to-noise ratio enhancement; stochastic resonance algorithm; system parameters; trace analysis; Acoustical engineering; Algorithm design and analysis; Background noise; Instruments; Nonlinear systems; Signal analysis; Signal to noise ratio; Stochastic resonance; Strontium; Working environment noise;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5516686
