Comparative parallel characterization of particle populations with two mass spectrometric systems LAMPAS 2 and SPASS

Hinz, Klaus-Peter; Erdmann, N.; Grüning, C.; Spengler, Bernhard

doi:10.1016/j.ijms.2006.09.008

Cited by 23 publications

(34 citation statements)

References 35 publications

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“…Recent examples of the application of this instrument include source apportionment and mixing-state studies in urban environments (Healy et al, 2012;Dall'Osto et al, 2014;Giorio et al, 2015), the study of the atmospheric ageing of min-eral dust during long-range transport (Sullivan et al, 2007;Dall'Osto et al, 2010;Fitzgerald et al, 2015), and the characterisation of particles of low number concentration in the Arctic (Sierau et al, 2014). The direct comparison of the response of single-particle instruments with different designs (Middlebrook et al, 2003;Hinz et al, 2006) highlights the need to consider the factors that affect particle counting statistics in SPMS.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the influence of laser wavelength and detection stage geometry on optical detection efficiency in a single-particle mass spectrometer

et al. 2016

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Abstract. Single-particle mass spectrometry (SPMS) is a useful tool for the online study of aerosols with the ability to measure size-resolved chemical composition with a temporal resolution relevant to atmospheric processes. In SPMS, optical particle detection is used for the effective temporal alignment of an ablation laser pulse with the presence of a particle in the ion source, and it gives the option of aerodynamic sizing by measuring the offset of particle arrival times between two detection stages. The efficiency of the optical detection stage has a strong influence on the overall instrument performance.A custom detection laser system consisting of a highpowered fibre-coupled Nd:YAG solid-state laser with a collimated beam was implemented in the detection stage of a laser ablation aerosol particle time-of-flight (LAAP-TOF) singleparticle mass spectrometer without major modifications to instrument geometry. The use of a collimated laser beam permitted the construction of a numerical model that predicts the effects of detection laser wavelength, output power, beam focussing characteristics, light collection angle, particle size, and refractive index on the effective detection radius (R) of the detection laser beam. We compare the model predictions with an ambient data set acquired during the Ice in Clouds Experiment -Dust (ICE-D) project.The new laser system resulted in an order-of-magnitude improvement in instrument sensitivity to spherical particles in the size range 500-800 nm compared to a focussed 405 nm laser diode system. The model demonstrates that the limit of detection in terms of particle size is determined by the scattering cross section (C sca ) as predicted by Mie theory. In addition, if light is collected over a narrow collection angle, oscillations in the magnitude of C sca with respect to particle diameter result in a variation in R, resulting in large particlesize-dependent variation in detection efficiency across the particle transmission range. This detection bias is imposed on the aerodynamic size distributions measured by the instrument and accounts for some of the detection bias towards sea salt particles in the ambient data set.

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Section: Introductionmentioning

confidence: 99%

Evaluating the influence of laser wavelength and detection stage geometry on optical detection efficiency in a single-particle mass spectrometer

et al. 2016

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“…The outcome of the analysis can be affected by the choice of clustering algorithm and the pre-processing of the raw data (Rebotier and Prather, 2007), which should be considered when interpreting the data. In addition, instrument design features, such as ablation laser wavelength, can result in different spectral patterns for similar particle types (Hinz et al, 2006), so that some caution must be applied when comparing the results from one single particle mass spectrometer with those of another. For this study, we utilised the fuzzy c means algorithm that is provided in the LAAP-TOF Data Analysis software (v 1.0.2) provided by the original equipment manufacturer (AeroMegt GmbH).…”

Section: S2 Cluster Analysis Methodsmentioning

confidence: 99%

Supplementary material to "Mineralogy and mixing state of North African mineral dust by on-line single-particle mass spectrometry"

Marsden¹,

Ullrich²,

Möhler³

et al. 2018

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“…The clusters are then automatically grouped into a cluster tree by a hierarchical analysis performed within MAT-LAB which is displayed in the dendroFATES GUI window. Hierarchical analyses have been utilized previously with SPMS data sets (Giorio et al, 2012;Hinz et al, 2006;Murphy et al, 2003;Rebotier and Prather, 2007;Zelenyuk et al, 2006), but a brief description is given here. The dendrogram links clusters in a binary fashion, creating new groups which are then further linked.…”

Section: Dendrofates: Hierarchical Cluster Relationsmentioning

confidence: 99%

FATES: a flexible analysis toolkit for the exploration of single-particle mass spectrometer data

et al. 2017

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Single-particle mass spectrometer (SPMS) analysis of aerosols has become increasingly popular since its invention in the 1990s. Today many iterations of commercial and lab-built SPMSs are in use worldwide. However, supporting analysis toolkits for these powerful instruments are outdated, have limited functionality, or are versions that are not available to the scientific community at large. In an effort to advance this field and allow better communication and collaboration between scientists, we have developed FATES (Flexible Analysis Toolkit for the Exploration of SPMS data), a MATLAB toolkit easily extensible to an array of SPMS designs and data formats. FATES was developed to minimize the computational demands of working with large data sets while still allowing easy maintenance, modification, and utilization by novice programmers. FATES permits scientists to explore, without constraint, complex SPMS data with simple scripts in a language popular for scientific numerical analysis. In addition FATES contains an array of data visualization graphic user interfaces (GUIs) which can aid both novice and expert users in calibration of raw data; exploration of the dependence of mass spectral characteristics on size, time, and peak intensity; and investigations of clustered data sets.

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Comparative parallel characterization of particle populations with two mass spectrometric systems LAMPAS 2 and SPASS

Cited by 23 publications

References 35 publications

Evaluating the influence of laser wavelength and detection stage geometry on optical detection efficiency in a single-particle mass spectrometer

Evaluating the influence of laser wavelength and detection stage geometry on optical detection efficiency in a single-particle mass spectrometer

Supplementary material to "Mineralogy and mixing state of North African mineral dust by on-line single-particle mass spectrometry"

FATES: a flexible analysis toolkit for the exploration of single-particle mass spectrometer data

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Comparative parallel characterization of particle populations with two mass spectrometric systems LAMPAS 2 and SPASS

Cited by 23 publications

References 35 publications

Evaluating the influence of laser wavelength and detection stage geometry on optical detection efficiency in a single-particle mass spectrometer

Evaluating the influence of laser wavelength and detection stage geometry on optical detection efficiency in a single-particle mass spectrometer

Supplementary material to &quot;Mineralogy and mixing state of North African mineral dust by on-line single-particle mass spectrometry&quot;

FATES: a flexible analysis toolkit for the exploration of single-particle mass spectrometer data

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Supplementary material to "Mineralogy and mixing state of North African mineral dust by on-line single-particle mass spectrometry"