Bioaerosol detection using potentiometric tomography in flames

Sarantaridis, Dimitris; Hennig, Christian; Caruana, Daren J.

doi:10.1039/c2sc20304a

Cited by 4 publications

(5 citation statements)

References 26 publications

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“…Flow cytometry with specific fluorescent stains is an established technique for microbial enumeration, but it remains rarely employed in atmospheric studies yet . Further advances in bioaerosol detection include quantitative polymerase chain reaction analysis (qPCR), biosensors based on nanowires and potentiometric tomography in flames …”

Section: Introductionmentioning

confidence: 99%

“…[25] Further advances in bioaerosol detection include quantitative polymerase chain reaction analysis (qPCR), [26] biosensors based on nanowires [27] and potentiometric tomography in flames. [28] In recent years, mass spectrometric and optical techniques have evolved to detect bacteria in near real-time, e.g. aerosol time-offlight mass spectrometry, [29] bioaerosol mass spectrometry, [30] online matrix-assisted laser desorption time-of-flight mass spectrometry, [31] ion trap mass spectrometry [32] or methods based on the induced emission of fluorescent light by aerosols.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of ice‐nucleating bacteria using on‐line electron impact ionization aerosol mass spectrometry

et al. 2015

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The mass spectral signatures of airborne bacteria were measured and analyzed in cloud simulation experiments at the AIDA (Aerosol Interaction and Dynamics in the Atmosphere) facility. Suspensions of cultured cells in pure water were sprayed into the aerosol and cloud chambers forming an aerosol which consisted of intact cells, cell fragments and residual particles from the agar medium in which the bacteria were cultured. The aerosol particles were analyzed with a high-resolution time-of-flight aerosol mass spectrometer equipped with a newly developed PM2.5 aerodynamic lens. Positive matrix factorization (PMF) using the multilinear engine (ME-2) source apportionment was applied to deconvolve the bacteria and agar mass spectral signatures. The bacteria mass fraction contributed between 75 and 95% depending on the aerosol generation, with the remaining mass attributed to agar. We present mass spectra of Pseudomonas syringae and Pseudomonas fluorescens bacteria typical for ice-nucleation active bacteria in the atmosphere to facilitate the distinction of airborne bacteria from other constituents in ambient aerosol, e.g. by PMF/ME-2 source apportionment analyses. Nitrogen-containing ions were the most salient feature of the bacteria mass spectra, and a combination of C4 H8 N(+) (m/z 70) and C5 H12 N(+) (m/z 86) may be used as marker ions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Characterization of ice‐nucleating bacteria using on‐line electron impact ionization aerosol mass spectrometry

et al. 2015

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“…equivalent CE or EC systems? In addition, the prospect of new redox chemistries will enable new technological applications such as electrodeposition, 27 electroanalysis 28 and astrochemistry, 29 which will have significant economic and environmental benefits.…”

Section: Discussionmentioning

confidence: 99%

Plasma electrochemistry: voltammetry in a flame plasma electrolyte

Elahi

Caruana

2013

Phys. Chem. Chem. Phys.

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In this paper we present detailed dynamic electrochemical measurements in a flame plasma electrolyte in the presence of tungsten oxide salts. Defined reproducible redox processes are measured using conventional cyclic voltammetry in an operational potential window between 1 and -9 V. This wide potential window is possible due to the absence of solvent and its associated limits due to solvent electrolysis at high over potentials. The measurements were enabled through the development of a new reference electrode, composed of yttria stabilised zirconia (YSZ) which maintains a stable potential at 1100 K. In this paper we focus on developing a phenomenological understanding of electron transfer at the solid-gas interface, using cyclic voltammetry. The effect of working electrode surface area and material, as well as potential scan rate on the voltammetric redox features is presented. We discuss the physical origin of the observed Faradaic current peaks measured in a flame plasma electrolyte, and propose a simple model to describe the redox processes occurring. We conclude that redox processes at the solid-gas interface are actually similar to the analogous processes at the solid-liquid interface described by conventional electrochemical theory; the departures are mainly due to the mass transport processes that dominate in the gas phase. We associate migration effects with the total absence of any oxidation processes.

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“…The presence of such particles in air has a big impact on health, but monitoring bioaerosols poses great technical challenges. Sarantaridis et al (2012) Details are given in Sarantaridis et al (2012). Actually a seventh variable (time point of maximum change) was used there, which we omit here.…”

Section: Real Data Examplementioning

confidence: 99%

“…Actually a seventh variable (time point of maximum change) was used there, which we omit here. Although in Sarantaridis et al (2012) it contributed to the classification, the chemists (personal communication) suspected this to be an artifact because knowledge of the experiment suggests that this variable is caused by other experimental features than the type of the bioaerosol. We are therefore left with 48 variables (six for each of the eight electrodes).…”

Section: Real Data Examplementioning

confidence: 99%

Quantile-based classifiers

Hennig

Viroli

2016

Biometrika

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Quantile classifiers for potentially high-dimensional data are defined by classifying an observation according to a sum of appropriately weighted component-wise distances of the components of the observation to the within-class quantiles. An optimal percentage for the quantiles can be chosen by minimizing the misclassification error in the training sample.It is shown that this is consistent, for n → ∞, for the classification rule with asymptotically optimal quantile, and that, under some assumptions, for p → ∞ the probability of correct classification converges to one. The role of skewness of the involved variables is discussed, which leads to an improved classifier.The optimal quantile classifier performs very well in a comprehensive simulation study and a real data set from chemistry (classification of bioaerosols) compared to nine other classifiers, including the support vector machine and the recently proposed median-based classifier (Hall et al. (2009)), which inspired the quantile classifier.

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Bioaerosol detection using potentiometric tomography in flames

Cited by 4 publications

References 26 publications

Characterization of ice‐nucleating bacteria using on‐line electron impact ionization aerosol mass spectrometry

Characterization of ice‐nucleating bacteria using on‐line electron impact ionization aerosol mass spectrometry

Plasma electrochemistry: voltammetry in a flame plasma electrolyte

Quantile-based classifiers

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