Schlieren visualization of fluid dynamics effects in direct analysis in real time mass spectrometry

Curtis, Matthew; Keelor, Joel D.; Jones, Christina M.; Pittman, Jennifer J.; Jones, Patrick R.; Sparkman, O. David; Fernández, Facundo M.

doi:10.1002/rcm.7119

Cited by 15 publications

(8 citation statements)

References 30 publications

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“…Mass spectra were simplified and provided supplemental information to conventional DART methods. Schlieren photography was employed in order to view the flow of helium gas at the atmospheric pressure interface of a DART ion source by Curtis and colleagues . Effects of various DART parameters and sample probe configurations on disturbances or disruptions of gas flow were studied.…”

Section: Discharge-based Ambient Ionizationmentioning

confidence: 99%

Advances in Ionization for Mass Spectrometry

Peacock¹,

Zhang

Trimpin

2016

Anal. Chem.

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Section: Discharge-based Ambient Ionizationmentioning

confidence: 99%

Advances in Ionization for Mass Spectrometry

Peacock¹,

Zhang

Trimpin

2016

Anal. Chem.

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“…The sudden disappearance of ion signal in the mass spectrum suggests the importance of a gas ow in facilitating the transport of analyte ions to the mass spectrometerthe instrument's vacuum system alone might not be sufficient for this purpose. Recent ADI-MS experiments in our group 20 and by others 21 has explored these transport phenomena in greater depth, but more work is needed to fully decouple the forces of the gas ow and the vacuum of the instrument. In contrast, when the helium ow is restored, it takes a nite time for a solid sample to be heated and for atmospheric constituents (those that have diffused into the cell in the absence of gas ow) to be expelled from the FAPA cell and for normal ionization and gas-ow conditions to be reestablished.…”

Section: Determination Of Optimal Sampling Periodmentioning

confidence: 99%

Helium conservation by discontinuous introduction in the flowing atmospheric-pressure afterglow source for ambient desorption-ionization mass spectrometry

Storey

Zeiri

Ray

et al. 2015

J. Anal. At. Spectrom.

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As helium availability declines in many parts of the world and helium prices rise, it is desirable to limit helium use by plasma-based sources for ambient desorption-ionization mass spectrometry (ADI-MS). Here, helium flow to the flowing atmospheric-pressure afterglow (FAPA) source is interrupted to reduce total helium consumption. The FAPA glow discharge can be sustained for up to several minutes after the helium flow is halted, without damaging the source. As a result, a stable discharge can be maintained indefinitely by introducing relatively short periods of helium flow just before the discharge extinguishes. When helium flow is restored, the signal rises and reaches a steady state after 20 s; signal integration after this time yields mass spectra that are very similar, sensitivities that are 71% of those under continuous-flow conditions, and comparable precision.

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“…Briefly, a coated blade was removed from the microcentrifuge tube, mounted to a linear rail attached to the VAPUR interface, and then slid into position between the DART plasma exit and the mass spectrometer atmospheric pressure inlet. The flat nature of the CBS substrate ensured that the fluid dynamics were favorable for effective ion injection [ 38 ]. After desorption of VOCs from the blade by DART for 60 s, the blade was retracted and a new blade was mounted on the rail for conducting the next analysis.…”

Section: Methodsmentioning

confidence: 99%

Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS

et al. 2022

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Point-of-care screening tools are essential to expedite patient care and decrease reliance on slow diagnostic tools (e.g., microbial cultures) to identify pathogens and their associated antibiotic resistance. Analysis of volatile organic compounds (VOC) emitted from biological media has seen increased attention in recent years as a potential non-invasive diagnostic procedure. This work explores the use of solid phase micro-extraction (SPME) and ambient plasma ionization mass spectrometry (MS) to rapidly acquire VOC signatures of bacteria and fungi. The MS spectrum of each pathogen goes through a preprocessing and feature extraction pipeline. Various supervised and unsupervised machine learning (ML) classification algorithms are trained and evaluated on the extracted feature set. These are able to classify the type of pathogen as bacteria or fungi with high accuracy, while marked progress is also made in identifying specific strains of bacteria. This study presents a new approach for the identification of pathogens from VOC signatures collected using SPME and ambient ionization MS by training classifiers on just a few samples of data. This ambient plasma ionization and ML approach is robust, rapid, precise, and can potentially be used as a non-invasive clinical diagnostic tool for point-of-care applications.

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Schlieren visualization of fluid dynamics effects in direct analysis in real time mass spectrometry

Abstract: The real-time Schlieren visualizations introduced in this work provide new insight on the fluid dynamics within the DART-MS sample gap while also helping to identify those experimental parameters requiring optimization for improved transmission.

Cited by 15 publications

References 30 publications

Advances in Ionization for Mass Spectrometry

Advances in Ionization for Mass Spectrometry

Helium conservation by discontinuous introduction in the flowing atmospheric-pressure afterglow source for ambient desorption-ionization mass spectrometry

Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS

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