PubMed Health⌕ Search

Biomedical subjects

S A Tomellini

Publications and source records attributed to S A Tomellini.

7 recordsLinked to original sources

Non-derivatization approach to high-performance liquid chromatography-fluorescence detection for aminoglycoside antibiotics based on a ligand displacement reaction.

An indirect fluorescence detection method has been developed for detecting the aminoglycoside antibiotics following chromatographic separation. This approach to detection is based on a displacement reaction between the aminoglycosides and a copper(II)-L-tryptophan (L-Trp) complex, Cu(L-Trp)2. The aminoglycosides, which contain multiple amino groups, have strong affinities for the Cu(II) ion and displace L-Trp from the Cu(L-Trp)2 complex. The resulting increase in L-Trp fluorescence, which is quenched when coordinated to Cu(II), is indicative of the presence of the aminoglycoside. Fluorescence titration data indicate that there is a stoichiometric ratio of 1:1 between the reaction of the aminoglycosides with Cu(L-Trp)2. This HPLC detection scheme is implemented postcolumn by mixing a buffered Cu(L-Trp)2 solution with the column eluent prior to detection. The aminoglycosides were separated with the use of a column packed with a polymeric strong cation-exchanger. Separation and detection variables were optimized and are discussed. The detection limits for the aminoglycosides tested ranged from 4.2 to 14.5 ng injected (S/N=3). A linear working curve was achieved for amikacin in the range of 29-586 ng for a six point linearity test. The developed separation and detection scheme was further tested by analyzing commercial pharmaceutical formulations of these antibiotics.

Aminoglycosides↗

Effects of bile salt structure on chiral separations with mixed micelles of bile salts and polyoxyethylene ethers using micellar electrokinetic capillary chromatography.

The chiral resolving abilities of micellar solutions of four different bile salts alone and in mixtures with polyoxyethylene-4-dodecyl ether (C12E4) and methanol were investigated using MECC. The four bile salts investigated were the unconjugated sodium salts of cholic, deoxycholic, chenodeoxycholic and ursodeoxycholic acids. The test solutes included verapamil, norverapamil, gallopamil, bi-2-naphthol, atenolol and BAYK8644. The relative hydrophobicities of the micellar aggregates formed in solutions of binary mixtures of each bile salt with C12E4 were investigated by fluorescence spectroscopy using pyrene as a probe molecule. The observed enantiomeric resolution for the test compounds using these binary mixtures as MECC pseudo-stationary phases was determined. Correlations between micellar hydrophobicity for these solutions and chiral resolution of these test solutes are presented. The addition of C12E4 with or without methanol to solutions of sodium cholate and sodium deoxycholate enhanced the chiral resolution observed for compounds containing a longer hydrocarbon chain separating some of the major functional groups from the chiral center. The pure bile salt solutions generally provided better chiral resolution for the compounds where the major functional groups, such as aromatic rings, were closer to the chiral center.

Bile Acids and Salts↗

Computer-assisted infrared identification of vapor-phase mixture components.

The IRBASE/MIXIR system was originally tested on interpretation of infrared spectra of condensed-phase mixtures. The system has now been adapted to allow interpretation of vapor-phase mixture spectra. The dynamic interpretation capabilities of the system have been expanded to allow runtime manipulation of complete peak lists, allowing generation of the optimum spectral description for the interpretation at hand. The modifications to the system are described, along with the results of testing on actual mixtures of varying complexity.

Artificial Intelligence↗

Spectral peak verification and recognition using a multilayered neural network.

The verification and recognition of peak-shaped signals in analytical data are ubiquitous scientific problems. Experimental data contain overlapping signals and noise, which make sensitive and reliable peak recognition difficult. A peak detection system based on a class of neural networks known as "multilayered perceptrons" has been created. The network was trained and evaluated with use of vapor-phase infrared spectral data. The results of varying the network architecture on system training and prediction performance along with refinement of the form of the input pattern are presented.

Artificial Intelligence↗

Quantitative retention relationships as a function of mobile and C18 stationary phase composition for non-cogeneric solutes.

Twelve non-homologous solutes with a wide range of functional groups were chromatographed on a series of well-characterized stationary phases with a range of methanol-water mobile phases. Retention correlations were found for quantum mechanically calculated molecular parameters. These parameters, the total molecular energy, and the maximal excess electronic charge difference, were found to be better descriptors of retention than the dipole moment or fragmental constants. The implication of these results in terms of retention mechanisms on reversed-phase materials are discussed.

Chemical Phenomena↗