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Advancing liquid atmospheric pressure matrix-assisted laser desorption/ionization mass spectrometry toward ultra-high-throughput analysis
Label-free high-throughput screening using mass spectrometry has the potential to provide rapid large-scale sample analysis at a speed of more than one sample per second. Such speed is important for compound library, assay and future clinical screening of millions of samples within a reasonable time frame. Herein, we present a liquid atmospheric pressure matrix-assisted laser desorption/ionization (AP-MALDI) setup for high-throughput large-scale sample analysis (>5 samples per second) for three substance classes (peptides, antibiotics and lipids). Liquid support matrices (LSM) were used for the analysis of standard substances as well as complex biological fluids (milk). Throughput and analytical robustness were mainly dependent on the complexity of the sample composition and the current limitations of the commercial hardware. However, the ultimate limits of liquid AP-MALDI in sample throughput can be conservatively estimated to be beyond 10-20 samples per second. This level of analytical speed is highly competitive compared with other label-free MS methods, including electrospray ionization and solid state MALDI, as well as MS methods using multiplexing by labelling, which in principle can also be used in combination with liquid AP-MALDI MS
Rapid liquid AP-MALDI MS profiling of lipids and proteins from goat and sheep milk for speciation and colostrum analysis
Rapid profiling of the biomolecular components of milk can be useful for food quality assessment and for food fraud detection. Differences in commercial value and availability of milk from specific species are often the reasons for the illicit and fraudulent sale of milk whose species origin is wrongly declared. In this study, a fast, MS-based speciation method is presented to distinguish sheep from goat milk and sheep colostrum at different phases. Using liquid atmospheric pressure (AP)-matrix-assisted laser desorption/ionisation (MALDI) MS, it was possible to classify samples of goat and sheep milk with 100% accuracy in one minute of data acquisition per sample. Moreover, an accuracy of 98% was achieved in classifying pure sheep milk samples and sheep milk samples containing 10% goat milk. Evaluating colostrum quality and postnatal stages represents another possible application of this technology. Classification of sheep colostrum samples that were collected within 6 hours after parturition and 48 hours later was achieved with an accuracy of 84.4%. Our data show that substantial changes in the lipid profile can account for the accurate classification of colostrum collected at the early and late time points. This method applied to the analysis of protein orthologs of different species can, as in this case, allow unequivocal speciation analysis
MÄkslu terapija dažÄdÄm klientu / pacientu grupÄm
Å is rakstu krÄjums ir izveidots un publicÄts Erasmus MūžizglÄ«tÄ«bas intensÄ«vÄs programmas projektÄ āMÄkslu terapija dažÄdÄm klientu / pacientu grupÄmā (2014) RÄ«gas StradiÅa universitÄtes RehabilitÄcijas fakultÄtÄ, profesionÄlÄ maÄ£istra studiju programmÄ āMÄkslas terapijaā sadarbÄ«bÄ ar projekta partneriem. Raksti ir balstÄ«ti uz teorÄtisko prezentÄciju un autoru seminÄru saturu intensÄ«vÄs programmas laikÄ. Rakstu krÄjumÄ aprakstÄ«ts teorÄtiskais un praktiskais darbs ar veselÄ«bas aprÅ«pes disciplÄ«nu - mÄkslas terapijas specializÄcijÄm - mÄkslas terapijas, deju kustÄ«bu terapijas, mÅ«zikas terapijas iespÄjas ar dažÄdÄm klientu / pacientu grupÄm veselÄ«bas aprÅ«pÄ, sociÄlajÄ aprÅ«pÄ un izglÄ«tÄ«bas vidÄ. Rakstu krÄjumÄ ir dažÄdi mÄkslas terapeiti no Igaunijas, Latvijas, Lietuvas, VÄcijas un LielbritÄnijas, kÄ arÄ« viÅu praktiskÄs pieredzes kopsavilkums. GadÄ«jumu izpÄte ir neseno pÄtÄ«jumu rezultÄti mÄkslas terapijas jomÄ. Raksti akcentÄ un raksturo mÄkslas terapijas specializÄcijas specifiku un piedÄvÄ iespÄjas darbÄ ar dažÄdÄm klientu / pacientu grupÄm. KolekcijÄ tiek piedÄvÄti daudzdimensionÄli skati uz mÄkslas terapijas praktisko daļu. Tas arÄ« demonstrÄ dažÄdus terapeitiskos ietvarus, medicÄ«nisko, psiholoÄ£isko teoriju integrÄciju, kas tiek izmantota mÄkslas terapijas pielietojamÄ«bas pamatÄ, piedÄvÄ dažus uz mÄkslu balstÄ«ta novÄrtÄjuma aspektus un dalÄs noderÄ«gÄ pieredzÄ. Autori piedÄvÄ mÅ«sdienu pieejas mÄkslas terapijas darbos. Projekta galvenie mÄrÄ·i bija nodroÅ”inÄt pieredzes apmaiÅu, izmantojot aktivitÄtes starp projekta partneriem; iegÅ«t un attÄ«stÄ«t jaunas zinÄÅ”anas un prasmes; izveidot norÄdes materiÄlus mÄkslas terapijas darbiem dažÄdÄm klientu / pacientu grupÄm; un veicinÄt turpmÄku mÄkslas terapijas attÄ«stÄ«bu projektÄ iesaistÄ«tajÄs valstÄ«s