Premium
Cross correlation with digital techniques in flow injection analysis and high performance liquid chromatography
Author(s) -
Curran D. J.,
McKeans R. E.
Publication year - 1992
Publication title -
electroanalysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 128
eISSN - 1521-4109
pISSN - 1040-0397
DOI - 10.1002/elan.1140040417
Subject(s) - analyte , fast fourier transform , detector , signal (programming language) , noise (video) , cross correlation , amperometry , analytical chemistry (journal) , signal processing , time domain , chromatography , chemistry , digital signal processing , computer science , mathematics , electrode , algorithm , artificial intelligence , computer hardware , telecommunications , mathematical analysis , electrochemistry , image (mathematics) , programming language , computer vision
Digital techniques are implemented to demonstrate the use of cross correlation to improve the signal‐to‐noise ratio for measurements involving analog detectors in flowing stream analysis methods. Two examples are presented. The first involves amperometric detection of dopamine using flow injection analysis. The reference and analyte signals are digitized and cross correlation performed by software using the fast Fourier transform (FFT). The second example is the determination of a mixture of catecholamines by HPLC using a UV detector. Multiplication of the digitized reference and analyte signals was carried out in the time domain followed by low pass filtering. Improvement in the signal‐to‐noise ratio up to a factor of 35 was found, depending on the compound.