8,728 research outputs found

    LC-MS raw data

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    Raw data for liquid chromatography coupled with mass spectrometry (LC-MS) experiments along with skyline template used to extract peak area from raw data.</p

    Integrated Parylene LC-ESI on a Chip

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    In this thesis, several microfluidic devices will be introduced to demonstrate the integration capability of a multilayer parylene surface micromachining technology. Due to its flexibility and versatility, various devices have been developed and integrated onto a single ship. Based on the technology, on-chip LC-ESI was successfully demonstrated. Based on the technology, an electrostatically actuated micro peristaltic pump has been developed. An AC actuation voltage combined with a peristaltic actuation was used to demonstrate fluid pumping. A reasonable flow rate and pumping pressure were achieved. The pump dynamics and performance were then addressed further by an analysis based on a lumped-parameter model of the system. Based on the same technology, an entirely surface micromachined electrostatically actuated valve has been demonstrated. A thermal flow sensor was integrated with the valve to be used for feedback control. Two modes, actuation voltage adjustment and PWM were investigated in characterizing the valve to control air flow. The testing results show that PWM has better linearity and performance. Three types of capacitive fluidic sensors were demonstrated in several microfluidic applications. These include sensors for fluid pressure, flow rate, volume, and composition measurement. The sensors showed great promise for microfluidic applications because of their high sensitivity and easy integration capabilities. The integration of these sensors with abovementioned devices was achieved. A novel electrochemical pumping system for on-chip LC gradient generation was demonstrated. This pump was able to deliver significant flow rates under high back pressures that are sufficient for many LC applications. On-chip gradient formation with integrated electrospray ionization was demonstrated. Finally, a complete LC-ESI system was integrated in a chip format. Typical nano-LC reversed-phase gradient elution was demonstrated using on-chip electrolysis pump. Separated analytes from on-chip column were then sprayed into MS for analysis through an integrated ESI-nozzle. Separation results are comparable to those of commercial system. Peptide identification performance using the LC-ESI chip with MS was also very close to those achieved by the commercial system.</p

    LC compensators for power factor correction of nonlinear loads

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    This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. Copyright @ 2004 IEEEA method is presented for finding the optimum fixed LC compensator for power factor correction of nonlinear loads where both source voltage and load current harmonics are present. The LC combination is selected because pure capacitive capacitors alone would not sufficiently correct the power factor. Optimization minimizes the transmission loss, maximizes the power factor, and maximizes the efficiency. The performance of the obtained compensator is discussed by means of numerical examples

    LC compensators based on transmission loss minimization for nonlinear loads

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    This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. Copyright @ 2004 IEEEThis paper presents a method employing the penalty function search algorithm to determine the LC compensator value for the optimal power factor correction in nonsinusoidal systems. The objective of the proposed method is to minimize the transmission loss while the power factor and efficiency are taken as constraints and utilized in order to solve the multiobjective optimization problem by transforming it into a single objective one. Examples show that the load nonlinearity can have a significant impact on optimal compensator sizes

    Self-similar design for stretchable wireless LC strain sensors

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    Stretchable sensors provide a foundation for applications that exceed the scope of conventional device technologies due to their unique capacity to integrate with soft materials and curvilinear surfaces. This article presents the implementation and characterization of a large-area stretchable wireless RF strain sensor, operating at around 760 MHz, based on the concept of self-similar design. It has an electrical LC resonant circuit formed by a self-similar inductor coil and a capacitor to facilitate passive wireless sensor. The inductance of the wireless sensor varies with the elongation of the PDMS substrate, so is the resonance frequency of the sensor that is detected using an external coil linked to a vector network analyzer. Finite element modeling was used in combination with experimental verification to demonstrate that the wireless strain sensor with 300 pm width can be stretched up to 40%. Self-similar structured coil incorporating variable inductance has been implemented to monitor the strain of artificial skin. Strain response of the stretchable wireless sensor has been characterized by experiments, and demonstrates high strain responsivity about 33.7 MHz/10%, which confirms the feasibility of strain sensing for biomedical and wearable applications. (C) 2015 Elsevier B.V. All rights reserved

    LC-MS-P/N-ALL.xml

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    Metabolic data of  Artemisia argyi and Artemisia indica   at different periods (LC-MS) .</p

    LC/MS peptide alignment and identification approach based on replicate spectral data

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    This item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID.Liquid Chromatography/Mass Spectrometry (LC-MS) is becoming a widely-used approach for quantifying the protein composition of complex samples. The LC-MS spectra show the intensity of a peptide feature with a specific mass-charge ratio (m/z) and retention time. This technology has been used to compare complex biological samples from multiple LC-MS experiments. One challenge for comparison is to match corresponding peptide features from different LC-MS experiments. Alignment corrects for experimental variations in the chromatography, which is an important technology for the comparison of LC-MS experiments. The corresponding feature pair is two features that are generated exactly by the same peptide in replicates. There are two key steps for corresponding feature identification: alignment and identification. Alignment gives the corresponding and non-corresponding feature pairs together and the identification step can choose the corresponding feature out of the total pairs. Before the alignment and identification steps, it is needed to perform LC peak detection accurately. Instead of checking MS templates at the base position, the author checks the consistency of isotope patterns on the premises that peptides produce consistent isotope patterns on scans within their elution periods. After accurate elution peak detection, the author obtains the candidate elution profiles for the peptides. The author verifies the interval detection method on SILAC data. The dissertation compared several quantification method based on the accurate interval detection. The performance of H/L ratio is much better than the result from Maxquant. Common alignment methods use warping functions to correct elution time shifts between two different LC-MS datasets to identify corresponding features (LC peaks registered by the same peptide). Although a warping function can correct the mean difference of elution time shifts, it alone cannot resolve the ambiguity in alignment completely because elution time shifts are random. Instead the author explored the R-statistic to measure the similarity in LC peak shapes between corresponding feature pairs for alignment, which means the correlation between two elution profiles. In Super-SILAC labeled data, based on MS/MS identifications, considered that the LC peak shape is an important factor for alignment, the author proposed a Statistical Corresponding Feature Identification Algorithm (SCFIA) based on both time shifts and the similarity of LC peak shapes between corresponding features. The author tested SCFIA on publicly available datasets and compared its performance with that of warping function based methods. The accuracy and the number of detected corresponding features are improved significantly. In 18O labeled data, as the author mentioned above, warping functions are commonly used to correct elution time shifts, which cannot resolve the ambiguity completely because elution time shifts are unpredicted. So the author takes peak shape, labeling efficiency, peptide isotope pattern and peptide predicted elution time into consideration. The author compared the algorithm, which is not only based on elution time shift but also many other parameters, to the other software. The result shows a great improvement.Electrical and Computer Engineerin
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