6 research outputs found
Electrochemical Responses and Electrocatalysis at Single Au Nanoparticles
Steady-state electrochemical responses have been obtained at single Au nanoparticles using Pt nanoelectrodes. A Au single-nanoparticle electrode (SNPE) is constructed by chemically immobilizing a single Au nanoparticle at a SiO2-encapsulated Pt disk nanoelectrode, which was previously modified by an amine-terminated silane. The Au SNPE has been characterized by transmission electron microscopy, underpotential deposition of Cu, and steady-state cyclic voltammetry. It has been found that the presence of a single Au nanoparticle enhances the electron transfer from the Pt nanoelectrode to the redox molecules, and the voltammetric response at the Au SNPE depends on the size of the Au nanoparticle. The Au SNPE has been utilized to examine the oxygen-reduction reaction in a KOH solution to explore the feasibility of measuring the electrocatalytic activity at a single-nanoparticle level. It has been shown that the electrocatalytic activity of single Au nanoparticles can be directly measured using SNPEs, and the electrocatalytic activity is dependent on the size of the Au nanoparticles. This study can help to understand the structure−function relationship in nanoparticle-based electrocatalysis
Quantifying Kinase-Specific Phosphorylation Stoichiometry Using Stable Isotope Labeling In a Reverse In-Gel Kinase Assay
Despite
recent advancements in large-scale phosphoproteomics, methods
to quantify kinase-specific phosphorylation stoichiometry of protein
substrates are lacking. We developed a method to quantify kinase-specific
phosphorylation stoichiometry by combining the reverse in-gel kinase
assay (RIKA) with high-resolution liquid chromatography–mass
spectrometry (LC–MS). Beginning with predetermined ratios of
phosphorylated to nonphosphorylated protein kinase CK2 (CK2) substrate
molecules, we employed <sup>18</sup>O-labeled adenosine triphosphate
(<sup>18</sup>O-ATP) as the phosphate donor in a RIKA, then quantified
the ratio of <sup>18</sup>O- versus <sup>16</sup>O-labeled tryptic
phosphopeptide using high mass accuracy mass spectrometry (MS). We
demonstrate that the phosphorylation stoichiometry determined by this
method across a broad percent phosphorylation range correlated extremely
well with the predicted value (correlation coefficient = 0.99). This
approach provides a quantitative alternative to antibody-based methods
of determining the extent of phosphorylation of a substrate pool
Ion Elevators and Escalators in Multilevel Structures for Lossless Ion Manipulations
We
describe two approaches based upon ion “elevator”
and “escalator” components that allow moving ions to
different levels in structures for lossless ion manipulations (SLIM).
Guided by ion motion simulations, we designed elevator and escalator
components based upon ion current measurements providing essentially
lossless transmission in multilevel designs. The ion elevator design
allowed ions to efficiently bridge a 4 mm gap between levels. The
component was integrated in a SLIM and coupled to a QTOF mass spectrometer
using an ion funnel interface to evaluate the <i>m</i>/<i>z</i> range transmitted as compared to transmission within a
level (e.g., in a linear section). The analysis of singly charged
ions of <i>m</i>/<i>z</i> 600–2700 produced
similar mass spectra for both elevator and straight (linear motion)
components. In the ion escalator design, traveling waves (TW) were
utilized to transport ions efficiently between two SLIM levels. Ion
current measurements and ion mobility (IM) spectrometry analysis illustrated
that ions can be transported between TW-SLIM levels with no significant
loss of either ions or IM resolution. These developments provide a
path for the development of multilevel designs providing, e.g., much
longer IM path lengths, more compact designs, and the implementation
of much more complex SLIM devices in which, e.g., different levels
may operate at different temperatures or with different gases
Polysialylated N‑Glycans Identified in Human Serum Through Combined Developments in Sample Preparation, Separations, and Electrospray Ionization-Mass Spectrometry
The
N-glycan diversity of human serum glycoproteins, i.e., the
human blood serum N-glycome, is both complex and constrained by the
range of glycan structures potentially synthesizable by human glycosylation
enzymes. The known glycome, however, has been further limited by methods
of sample preparation, available analytical platforms, e.g., based
upon electrospray ionization-mass spectrometry (ESI-MS), and software
tools for data analysis. In this report several improvements have
been implemented in sample preparation and analysis to extend ESI-MS
glycan characterization and to include polysialylated N-glycans. Sample
preparation improvements included acidified, microwave-accelerated,
PNGase F N-glycan release to promote lactonization, and sodium borohydride
reduction, that were both optimized to improve quantitative yields
and conserve the number of glycoforms detected. Two-stage desalting
(during solid phase extraction and on the analytical column) increased
sensitivity by reducing analyte signal division between multiple reducing-end-forms
or cation adducts. Online separations were improved by using extended
length graphitized carbon columns and adding TFA as an acid modifier
to a formic acid/reversed phase gradient, providing additional resolving
power and significantly improved desorption of both large and heavily
sialylated glycans. To improve MS sensitivity and provide gentler
ionization conditions at the source-MS interface, subambient pressure
ionization with nanoelectrospray (SPIN) was utilized. When these improved
methods are combined together with the Glycomics Quintavariate Informed
Quantification (GlyQ-IQ) recently described (Kronewitter et al. Anal. Chem. 2014, 86, 6268−6276), we are able to significantly extend glycan
detection sensitivity and provide expanded glycan coverage. We demonstrated
the application of these advances in the context of the human serum
glycome, and for which our initial observations included the detection
of a new class of heavily sialylated N-glycans, including polysialylated
N-glycans
Polysialylated N‑Glycans Identified in Human Serum Through Combined Developments in Sample Preparation, Separations, and Electrospray Ionization-Mass Spectrometry
The
N-glycan diversity of human serum glycoproteins, i.e., the
human blood serum N-glycome, is both complex and constrained by the
range of glycan structures potentially synthesizable by human glycosylation
enzymes. The known glycome, however, has been further limited by methods
of sample preparation, available analytical platforms, e.g., based
upon electrospray ionization-mass spectrometry (ESI-MS), and software
tools for data analysis. In this report several improvements have
been implemented in sample preparation and analysis to extend ESI-MS
glycan characterization and to include polysialylated N-glycans. Sample
preparation improvements included acidified, microwave-accelerated,
PNGase F N-glycan release to promote lactonization, and sodium borohydride
reduction, that were both optimized to improve quantitative yields
and conserve the number of glycoforms detected. Two-stage desalting
(during solid phase extraction and on the analytical column) increased
sensitivity by reducing analyte signal division between multiple reducing-end-forms
or cation adducts. Online separations were improved by using extended
length graphitized carbon columns and adding TFA as an acid modifier
to a formic acid/reversed phase gradient, providing additional resolving
power and significantly improved desorption of both large and heavily
sialylated glycans. To improve MS sensitivity and provide gentler
ionization conditions at the source-MS interface, subambient pressure
ionization with nanoelectrospray (SPIN) was utilized. When these improved
methods are combined together with the Glycomics Quintavariate Informed
Quantification (GlyQ-IQ) recently described (Kronewitter et al. Anal. Chem. 2014, 86, 6268−6276), we are able to significantly extend glycan
detection sensitivity and provide expanded glycan coverage. We demonstrated
the application of these advances in the context of the human serum
glycome, and for which our initial observations included the detection
of a new class of heavily sialylated N-glycans, including polysialylated
N-glycans
Polysialylated N‑Glycans Identified in Human Serum Through Combined Developments in Sample Preparation, Separations, and Electrospray Ionization-Mass Spectrometry
The
N-glycan diversity of human serum glycoproteins, i.e., the
human blood serum N-glycome, is both complex and constrained by the
range of glycan structures potentially synthesizable by human glycosylation
enzymes. The known glycome, however, has been further limited by methods
of sample preparation, available analytical platforms, e.g., based
upon electrospray ionization-mass spectrometry (ESI-MS), and software
tools for data analysis. In this report several improvements have
been implemented in sample preparation and analysis to extend ESI-MS
glycan characterization and to include polysialylated N-glycans. Sample
preparation improvements included acidified, microwave-accelerated,
PNGase F N-glycan release to promote lactonization, and sodium borohydride
reduction, that were both optimized to improve quantitative yields
and conserve the number of glycoforms detected. Two-stage desalting
(during solid phase extraction and on the analytical column) increased
sensitivity by reducing analyte signal division between multiple reducing-end-forms
or cation adducts. Online separations were improved by using extended
length graphitized carbon columns and adding TFA as an acid modifier
to a formic acid/reversed phase gradient, providing additional resolving
power and significantly improved desorption of both large and heavily
sialylated glycans. To improve MS sensitivity and provide gentler
ionization conditions at the source-MS interface, subambient pressure
ionization with nanoelectrospray (SPIN) was utilized. When these improved
methods are combined together with the Glycomics Quintavariate Informed
Quantification (GlyQ-IQ) recently described (Kronewitter et al. Anal. Chem. 2014, 86, 6268−6276), we are able to significantly extend glycan
detection sensitivity and provide expanded glycan coverage. We demonstrated
the application of these advances in the context of the human serum
glycome, and for which our initial observations included the detection
of a new class of heavily sialylated N-glycans, including polysialylated
N-glycans
