Literature DB >> 15582735

Use of an electronic tongue and HPLC with electrochemical detection to differentiate molds in culture media.

C Söderström1, H Borén, C Krantz-Rülcker.   

Abstract

A study was conducted to further evaluate an electronic tongue, using high-performance liquid chromatography (HPLC) with electrochemical (EC) and UV detection as a reference method. The electronic tongue consisted of four working electrodes made of different metals and arranged in a standard three-electrode configuration. Pulses of voltage were applied to the metals, and the current responses were sampled and collected in a data matrix. The objectives of the present investigation were to examine the ability of the electronic tongue to distinguish between two mold species growing in three different media, and to obtain support for the hypothesis that the device actually discriminates between different redox-active metabolites produced by the molds. Peak areas in EC and UV HPLC chromatograms were collected in a data matrix. The electronic tongue data and the EC and UV data were then subjected to principal component analysis (PCA). A number of peaks in the HPLC-EC chromatograms indicated that the growth media contained redox-active metabolites. Moreover, PCA of peak areas in EC chromatograms revealed differences between the distribution of redox-active metabolites produced by the two species and between the three culture media. The same pattern was apparent in a PCA score plot of electronic tongue data. The peaks in the UV and EC chromatograms differed, and these were also shown by the PCA score plots.

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Year:  2005        PMID: 15582735     DOI: 10.1016/S0168-1605(03)00408-2

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  1 in total

Review 1.  Sensor systems, electronic tongues and electronic noses, for the monitoring of biotechnological processes.

Authors:  Alisa Rudnitskaya; Andrey Legin
Journal:  J Ind Microbiol Biotechnol       Date:  2008-01-09       Impact factor: 3.346

  1 in total

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