
pmid: 15352227
AbstractFast isoelectric focusing (IEF) is becoming a key method in modern protein analysis. We report here the theory and experimental results of new parallel isoelectric devices (PID) for fast IEF. The main separation tool of any PID is a dielectric membrane with conducting channels filled by immobiline gels of varying pH. The pH value of the surrounding aqueous solution is not equal to the pH of any of the channels. The membrane is held perpendicular to the applied electric field. Proteins are collected (trapped) in the channels whose pH values are equal to the pI of the proteins. The fast particle transport between different channels takes place due to convection in the aqueous solution. We developed a mathematical model for PID. Experiment duration is shown to be proportional to the number of different bands N (the peak capacity in standard IEF) in contrast with N2 for usual IEF devices. This model was validated with experimental results. Parallel IEF accelerates the fractionation of proteins by their pI values (down to several minutes) allowing a more desirable collection efficiency to be achieved. The main theoretical limitation of PID resolution is the sensitivity of proteins to pH change due to the Coulomb blockade effect. The existence of a minimal pH change δpHmin for each type of protein is shown: δpHmin ∼ r−1 for globular molecules with radius r.
Time Factors, Electrochemistry, Protein Array Analysis, Proteins, Hydrogen-Ion Concentration, Isoelectric Focusing, Models, Theoretical, Mathematics
Time Factors, Electrochemistry, Protein Array Analysis, Proteins, Hydrogen-Ion Concentration, Isoelectric Focusing, Models, Theoretical, Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
