Rapid and non-invasive quantification of metabolic substrates in biological cell suspensions using non-linear dielectric spectroscopy with multivariate calibration and artificial neural networks. Principles and applications

Bioelectrochemistry and Bioenergetics

Volumn 40, Issue 2, 1996, Pages 99-132

  Woodward, Andrew M ^a   Jones, Alun ^a   Zhang, Xin Zhu ^a   Rowland, Jem ^a   Kell, Douglas B ^a  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

Biotechnology; Dielectric spectroscopy; Multivariate calibration; Neural networks; Non invasive; Non linear

Indexed keywords

BIOTECHNOLOGY; ELECTROCHEMICAL ELECTRODES; ELECTROMAGNETIC FIELD EFFECTS; ENZYMES; LEAST SQUARES APPROXIMATIONS; METABOLISM; NEURAL NETWORKS; POLARIZATION; REGRESSION ANALYSIS; SPECTROSCOPIC ANALYSIS; SUBSTRATES; YEAST;

ANALYTE CONCENTRATIONS; BIOLOGICAL CELL SUSPENSIONS; MEMBRANOUS ENZYMES; METABOLIC SUBSTRATES; MULTIVARIATE CALIBRATION; NONLINEAR DIELECTRIC SPECTROSCOPY; YEAST CELL SUSPENSIONS;

CELLS;

ARTIFICIAL NEURAL NETWORK; BLOOD; CELL SUSPENSION; CONFERENCE PAPER; ELECTROCHEMISTRY; ELECTROMAGNETIC FIELD; ENZYME ACTIVITY; FERMENTATION; GLUCOSE BLOOD LEVEL; HUMAN; INFORMATION PROCESSING; MEMBRANE POTENTIAL; METABOLISM; MULTIVARIATE ANALYSIS; NONHUMAN; QUANTITATIVE ASSAY; SHEEP; SPECTROSCOPY; TECHNIQUE; YEAST CELL;

OVIS ARIES;

EID: 0030221385     PISSN: 03024598     EISSN: None     Source Type: Journal    
DOI: 10.1016/0302-4598(96)05065-9     Document Type: Conference Paper

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