E. Tschursin et al., OPTIMIZATION OF AN ESCHERICHIA-COLI FORMATE DEHYDROGENASE ASSAY FOR SELENIUM-COMPOUNDS, Applied and environmental microbiology, 60(12), 1994, pp. 4310-4318
A microbiological assay to detect different chemical compounds of sele
nium for potential future use in the study of the distribution of thes
e chemical forms in foods is being developed. This assay is based on t
he detection, by infrared analysis, of CO2 in a culture of Escherichia
coli when the bacteria are grown in the presence of various selenium
compounds. The CO2 production is the result of selenium-dependent form
ate dehydrogenase activity, which catalyzes oxidation of formic acid p
roduced during glucose metabolism. Smooth response curves were generat
ed over several orders of magnitude for selenocystine, selenite, and s
elenomethionine. The assay detects selenium concentrations (above back
ground) as low as 1.5 nM for selenocystine and selenite and 4 nM for s
elenomethionine in minimal medium. Detection of selenomethionine was e
nhanced (to a sensitivity of 1.5 nM) by the addition of methionine to
minimal medium and was enhanced even further (to a sensitivity of 0.8
nM) by the addition of a defined mixture of amino acids. Selenomethion
ine could be assayed in the presence of an amino acid concentration wh
ich is proportional to the amino acid/elemental selenium ratio found i
n a wheat gluten reference material (NIST SRM 8418). This implies that
the assay can detect selenium compounds in a variety of foods at low
concentrations, avoiding the background CO2 production caused by high
concentrations of non-selenium-containing amino acids. The observation
that methionine enhanced selenomethionine availability for formate de
hydrogenase synthesis supports studies in animals demonstrating that m
ethionine controls selenomethionine incorporation into selenoenzymes.
Although determination of selenium by isotope dilution-mass spectromet
ry is more sensitive for detecting elemental selenium in biological ma
terials, the microbiological assay detects metabolically utilized sele
nium, which is currently of interest in nutrition research.