Abstract:The sequencing of several organisms' genomes, including the human's one, has opened the way for the so-called postgenomic era, which is now routinely coined as "proteomics". The most basic task in proteomics remains the detection and identification of proteins from a biological sample, and the most traditional way to achieve this goal consists of protein separations performed by two-dimensional polyacrylamide gel electrophoresis (2-D PAGE). Still, the 2-D PAGE-mass spectrometry (MS) approach remains lacking in… Show more
“…Due to the complexity of proteomes and the small quantities of samples typically available, microsystems that afford high sensitivity, rapid throughput, and excellent reproducibility [2][3][4] designed to carry out the proteomic analysis. In this context, microfluidic systems integrating all parts of the separation device into a single chip are particularly attractive.…”
Poly(lauryl methacrylate-co-ethylene dimethacrylate) and poly(styrene-co-divinylbenzene) stationary phases in monolithic format have been prepared by thermally initiated free radical polymerization within polyimide chips featuring channels having a cross-section of 200×200 μm and a length of 6.8 cm. These chips were then used for the separation of a mixture of proteins including ribonuclease A, myoglobin, cytochrome c, and ovalbumin, as well as peptides. The separations were monitored by UV adsorption. Both the monolithic phases based on methacrylate and on styrene chemistries enabled the rapid baseline separation of most of the test mixtures. Best performance was achieved with the styrenic monolith leading to fast baseline separation of all four proteins in less than 2.5 min. The in-situ monolith preparation process affords microfluidic devices exhibiting good batch-to-batch and injection-to-injection repeatability.
“…Due to the complexity of proteomes and the small quantities of samples typically available, microsystems that afford high sensitivity, rapid throughput, and excellent reproducibility [2][3][4] designed to carry out the proteomic analysis. In this context, microfluidic systems integrating all parts of the separation device into a single chip are particularly attractive.…”
Poly(lauryl methacrylate-co-ethylene dimethacrylate) and poly(styrene-co-divinylbenzene) stationary phases in monolithic format have been prepared by thermally initiated free radical polymerization within polyimide chips featuring channels having a cross-section of 200×200 μm and a length of 6.8 cm. These chips were then used for the separation of a mixture of proteins including ribonuclease A, myoglobin, cytochrome c, and ovalbumin, as well as peptides. The separations were monitored by UV adsorption. Both the monolithic phases based on methacrylate and on styrene chemistries enabled the rapid baseline separation of most of the test mixtures. Best performance was achieved with the styrenic monolith leading to fast baseline separation of all four proteins in less than 2.5 min. The in-situ monolith preparation process affords microfluidic devices exhibiting good batch-to-batch and injection-to-injection repeatability.
“…CE possesses the advantages of high resolution, rapid separation and ease of automation. Therefore, the great potential of CE has been envisioned for the analysis of proteins and investigation of proteomes [1][2][3]. However, a major challenge in CE detection of protein is the poor concentration detection limit due to the short optical path length across the capillary and the small sample volumes injected.…”
In this article, a CE with a new electrochemiluminescent (ECL) detection system was developed. A microfluidic ECL detection cell with less than 0.5 microL dead volumes was developed and used as detector for this system. A hydrofluoric acid-etched porous joint was made at 8 mm from the outlet of the separation capillary to isolate the CE high voltage from ECL detection. The proposed CE-ECL system was applied for separation and detection of some proteins labeled with tris(1,10-phenanthroline) ruthenium(II). High efficiency ECL-enhanced reagent, tripropylamine, was infused to the detection cell as coreactant by a micro-infusion system to obtain maximum and stable ECL signal. The performance of this setup was illustrated by the analysis of tris(1,10-phenanthroline) ruthenium(II)-labeled proteins. The background electrolyte for protein detection was 20 mM Tris-CH3COOH with 2.0% m/m PVP at pH 4.0. Under the optimal conditions, the corresponding LOD were 2.2 x 10(-10) M for HSA, 4.4 x 10(-10) M for casein (alpha-S1) and 5.1 x 10(-10) M for cytochrome c. The proposed method was also successfully used for the trace analysis of albumin in human urine without any pretreatment.
“…[1][2][3][4]) due to the advantages of higher speed, higher sensitivity, smaller sample size, multiple sample analysis and on-column detection (e.g. [5]).…”
Contactless conductivity detector technology has unique advantages for microfluidic applications. However, the low S/N and varying baseline makes the signal analysis difficult. In this paper, a continuous wavelet transform-based peak detection algorithm was developed for CE signals from microfluidic chips. The Ridger peak detection algorithm is based on the MassSpecWavelet algorithm by Du et al. [Bioinformatics 2006[Bioinformatics , 22, 2059[Bioinformatics -2065, and performs a continuous wavelet transform on data, using a wavelet proportional to the first derivative of a Gaussian function. It forms sequences of local maxima and minima in the continuous wavelet transform, before pairing sequences of maxima to minima to define peaks. The peak detection algorithm was tested against the Cromwell, MassSpecWavelet, and Linear Matrix-assisted laser desorption/ionizationtime-of-flight-mass spectrometer Peak Indication and Classification algorithms using experimental data. Its sensitivity to false discovery rate curve is superior to other techniques tested.
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