PubMed Health⌕ Search

Biomedical subjects

Nicholas R Dugan

Publications and source records attributed to Nicholas R Dugan.

2 recordsLinked to original sources

Identification of microcystin toxins from a strain of Microcystis aeruginosa by liquid chromatography introduction into a hybrid linear ion trap-Fourier transform ion cyclotron resonance mass spectrometer.

The cyclic heptapeptide microcystin toxins produced by a strain of Microcystis aeruginosa that has not been investigated previously were separated by liquid chromatography and identified by high-accuracy m/z measurements of their [M + H]+ ions and the fragment ions produced by collision-activated dissociation of the [M + H]+ ions. The cyanobacteria B2666 strain was cultured in a standard growth medium, and the toxins were released from the cells, extracted from the aqueous phase, and concentrated using standard procedures. The microcystins were separated by reversed-phase microbore liquid chromatography and introduced directly into a hybrid linear ion trap-Fourier transform ion cyclotron resonance mass spectrometer with electrospray ionization. The known microcystins (MC) MC-LR, MC-LA, [MeSer7]MC-LR, MC-LL, MC-LF, and MC-L(Aba) were identified along with the two previously unreported structural variants [Asp3]MC-LA and [Asp3]MC-LL. In addition to the [M + H]+ ions, accurate m/z measurements were made of 12-18 product ions for each identified microcystin. The mean difference between measured and calculated exact m/z was less than 2 parts per million, which often allowed assignment of unique compositions to the observed ions. A mechanism is presented that accounts for an important collision-activated dissociation process that gives valuable sequence ions from microcystins that do not contain arginine. The analytical technique used in this work is capable of supporting fairly rapid and very reliable identifications of known microcystins when standards are not available and of most structural variants independent of additional information from other analytical techniques.

Amino Acid Sequence↗

Using Dirichlet tessellation to help estimate microbial biomass concentrations.

Dirichlet tessellation was applied to estimate microbial concentrations from microscope well slides. The use of microscopy/Dirichlet tessellation to quantify biomass was illustrated with two species of morphologically distinct cyanobacteria (Microcystis aeruginosa and Anabaena flos aquae), and validated empirically by comparison with chlorophyll a and Coulter count analyses. Biomass estimates obtained by microscopy/Dirichlet tessellation were significantly correlated with the results obtained from chlorophyll a and Coulter analyses.

Algorithms↗