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Dive into the research topics where Gloria S. Yen is active.

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Featured researches published by Gloria S. Yen.


Analytical Chemistry | 2013

Self-digitization of samples into a high-density microfluidic bottom-well array.

Thomas Schneider; Gloria S. Yen; Alison M. Thompson; Daniel R. Burnham; Daniel T. Chiu

This paper describes a sample digitization method that generates tens of thousands of nanoliter-sized droplets in a high-density array in a matter of minutes. We show that the sample digitization depends on both the geometric design of the microfluidic device and the viscoelastic forces between the aqueous sample and a continuous oil phase. Our design avoids sample loss: Samples are split into tens of thousands of discrete volumes with close to 100% efficiency without the need for any expensive valving or pumping systems. We envision this technology will have broad applications that require simple sample digitization within minutes, such as digital polymerase chain reactions and single-cell studies.


Analytical Chemistry | 2014

Nanoliter segmented-flow sampling mass spectrometry with online compartmentalization.

Michael Volný; Joelle Rolfs; Bejan Hakimi; Petr Fryčák; Thomas Schneider; Dingsheng Liu; Gloria S. Yen; Daniel T. Chiu; František Tureček

We report a microfluidic device, using segmented flow in a two-phase system of immiscible liquids, which delivers aqueous droplets into a modified commercial mass spectrometer. The interface coupling the microfluidics to the mass spectrometer achieves up to 96% sample transfer efficiency to the vacuum chamber. Sample ionization is assisted by multipass infrared laser beam in the interface. The system achieves low femtomole detection limits of several analytes ranging from drugs to proteins. Sample ionization in this segmented-flow sampling was found to be remarkably insensitive to the presence of buffer salts and other matrices.


Lab on a Chip | 2011

A rapid and economical method for profiling feature heights during microfabrication

Gloria S. Yen; Bryant S. Fujimoto; Thomas Schneider; Desmond T.K. Huynh; Gavin D. M. Jeffries; Daniel T. Chiu

Quality control is an important and integral part to any microfabrication process. While the widths of features often can be easily assessed by light microscopy, the heights of the fabricated structures are more difficult to determine. Here, we present a rapid, accurate, and low-cost method to measure the heights of microfabricated structures during and after the fabrication process. This technique is based on white-light interferometry, which offers accuracy on the submicrometre scale.


Rapid Communications in Mass Spectrometry | 2016

Rapid lipid a structure determination via surface acoustic wave nebulization and hierarchical tandem mass spectrometry algorithm

Sung Hwan Yoon; Tao Liang; Thomas Schneider; Benjamin L. Oyler; Courtney E. Chandler; Robert K. Ernst; Gloria S. Yen; Yue Huang; Erik Nilsson; David R. Goodlett

RATIONALE Surface acoustic wave nebulization (SAWN) is an easy to use sample transfer method for rapid mass spectrometric analysis. A new standing wave (SW) SAWN chip, with higher ionization efficiency than our previously reported design, is used for rapid analysis of lipids. METHODS The crude, yet fast, Caroff protocol was used for lipid A extraction from Francisella novicida. SW-SAWN with a Waters Synapt G2S quadrupole time-of-flight (QTOF) mass spectrometer was used to generate lipid A ions. Quadrupole collision-induced dissociation (Q-CID) of lipid A at varying CID energies was used to approximate the ion trap MSn data required for our hierarchical tandem mass spectrometry (HiTMS) algorithm. Structural hypotheses can be obtained directly from the HiTMS algorithm to identify species-specific lipid A molecules. RESULTS SW-SAWN successfully generated ions from lipid A extracted from Francisella novicida using the faster Caroff method. In addition, varying collision energies were used to generate tandem mass spectra similar to MS3 and MS4 spectra from an ion trap. The Q-CID spectra are compatible with our HiTMS algorithm and offer an improvement over lipid A tandem mass spectra acquired in an ion trap. CONCLUSIONS Combining SW-SAWN and Q-CID enabled more structural assignments than previously reported in half the time. The ease of generating spectra by SAWN tandem MS in combination with HiTMS interpretation offers high-throughput lipid A structural analysis and thereby rapid detection of pathogens based on lipid fingerprinting. Copyright


Journal of Physical Chemistry B | 2012

High-throughput fluorescence-activated nanoscale subcellular sorter with single-molecule sensitivity.

Perry G. Schiro; Jennifer C. Gadd; Gloria S. Yen; Daniel T. Chiu

Recent single-cell and single-molecule studies have shown that a variety of subpopulations exist within biological systems, such as synaptic vesicles, that have previously been overlooked in common bulk studies. By isolating and enriching these various subpopulations, detailed analysis with a variety of analytical techniques can be done to further understand the role that various subpopulations play in cellular dynamics and how alterations to these subpopulations affect the overall function of the biological system. Previous sorters lack the sensitivity, sorting speed, and efficiency to isolate synaptic vesicles and other nanoscale systems. This paper describes the development of a fluorescence-activated nanoscale subcellular sorter that can sort nearly 10 million objects per hour with single-molecule sensitivity. Utilizing a near-nanoscale channel system, we were able to achieve upward of 91% recovery of desired objects with a 99.7% purity.


Food Analytical Methods | 2018

Rapid Food Product Analysis by Surface Acoustic Wave Nebulization Coupled Mass Spectrometry

Thomas Schneider; Benjamin L. Oyler; Sung Hwan Yoon; Tao Liang; Gloria S. Yen; David P. A. Kilgour; Erik Nilsson; David R. Goodlett

Rapid food product analysis is of great interest for quality control and assurance during the production process. Conventional quality control protocols require time and labor-intensive sample preparation for analysis by state-of-the-art analytical methods. To reduce overall cost and facilitate rapid qualitative assessments, food products need to be tested with minimal sample preparation. We present a novel and simple method for assessing food product compositions by mass spectrometry using a novel surface acoustic wave nebulization method. This method provides significant advantages over conventional methods requiring no pumps, capillaries, or additional chemicals to enhance ionization for mass spectrometric analysis. In addition, the surface acoustic wave nebulization–mass spectrometry method is ideal for rapid analysis and to investigate certain compounds by using the mass spectra as a type of species-specific fingerprint analysis. We present for the first time surface acoustic wave nebulization-generated mass spectra of a variety of fermented food products from a small selection of vinegars, wines, and beers.


Lab on a Chip | 2009

Microfabricating high-aspect-ratio structures in polyurethane-methacrylate (PUMA) disposable microfluidic devices

Jason S. Kuo; Yongxi Zhao; Laiying Ng; Gloria S. Yen; Robert M. Lorenz; David S. W. Lim; Daniel T. Chiu


Rapid Communications in Mass Spectrometry | 2016

Polydimethylsiloxane microchannel coupled to surface acoustic wave nebulization mass spectrometry

Gloria S. Yen; J. Scott Edgar; Sung Hwan Yoon; Yue Huang; Scott R. Heron; Daniel T. Chiu; David R. Goodlett


Archive | 2012

Methods and systems for performing digital measurements

Daniel T. Chiu; Bryant S. Fujimoto; Alexander Gansen; Gloria S. Yen; Robert M. Lorenz


International Journal of Mass Spectrometry | 2017

Optimized surface acoustic wave nebulization facilitates bacterial phenotyping

Tao Liang; Thomas Schneider; Sung Hwan Yoon; Benjamin L. Oyler; Lisa M. Leung; William E. Fondrie; Gloria S. Yen; Yue Huang; Robert K. Ernst; Erik Nilsson; David R. Goodlett

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Daniel T. Chiu

University of Washington

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Thomas Schneider

University of British Columbia

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Tao Liang

University of Maryland

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Yue Huang

University of Washington

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