Identification of Aspergillus Conidia in Bronchoalveolar Lavage Using Offline Combination of Capillary Electrophoresis in Supercritical Water-Treated Fused Silica Capillary and Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Medicine. Official publication website can be found on muni.cz.
Authors

SALPLACHTA Jiri HORKA Marie KARASEK Pavel RŮŽIČKA Filip ROTH Michal

Year of publication 2020
Type Article in Periodical
Magazine / Source Analytical chemistry
MU Faculty or unit

Faculty of Medicine

Citation
Web https://pubs.acs.org/doi/10.1021/acs.analchem.0c00165#
Doi http://dx.doi.org/10.1021/acs.analchem.0c00165
Keywords MALDI-TOF MS; SUSCEPTIBLE STAPHYLOCOCCUS-AUREUS; DIFFERENT INTERNAL DIAMETERS; INVASIVE FUNGAL-INFECTIONS; DESORPTION IONIZATION-TIME; METHICILLIN-RESISTANT; DIAGNOSTIC METHODS; NEUTRAL ANALYTES; 2 SEGMENTS; MICROORGANISMS
Description Diagnosis of fungal infection in lung parenchyma is relatively difficult. Bronchoscopy with bronchoalveolar lavage is very useful in its diagnosing. Therefore, a method for rapid online concentration and analysis of Aspergillus conidia in bronchoalveolar lavage fluid using the combination of transient isotachophoresis (tITP) and micellar electrokinetic chromatography (MEKC) with subsequent off-line identification of the separated conidia by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is described in this study. In the proposed procedure, conidia were first dynamically adhered onto the roughened part of the inner surface of a fused silica capillary prepared by etching with supercritical water. Then the adhered conidia were desorbed, concentrated, and separated using a combination of tITP and MEKC. Finally, the fractions containing the separated conidia were collected from the capillary and analyzed by MALDI-TOF MS. The adhesion efficiency under the optimized experimental conditions was about 80%. This rapid diagnosis will contribute to timely initiation of therapy and increase the patient's chances of survival.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.