Issue 10, 2001

Characterisation of Shah convolution Fourier transform detection

Abstract

Multiple-point (Shah function) detected, time-domain detector signals were converted into frequency-domain plots by means of Fourier transformation. Signal-to-noise ratio enhancement by Shah convolution Fourier transform detection (SCOFT), compared with single-point detection, was obtained. Hence SCOFT could lower the detection limits and have many potential applications in trace analysis. The frequency of the fundamental peak obtained by SCOFT increases linearly with increasing migration velocity of the analyte. SCOFT is capable of extracting multiple frequency components contained in the time-domain detector signals, e.g., in a separation. Hence SCOFT could be used to interrogate a separation based on the differences in the migration velocities of the compounds in the mixture.

Article information

Article type
Paper
Submitted
05 May 2001
Accepted
20 Jul 2001
First published
19 Sep 2001

Analyst, 2001,126, 1640-1644

Characterisation of Shah convolution Fourier transform detection

Y. C. Kwok and A. Manz, Analyst, 2001, 126, 1640 DOI: 10.1039/B103946F

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