Analysis of complex particle mixtures by asymmetrical flow field-flow fractionation coupled to inductively coupled plasma time-of-flight mass spectrometry

Meili-Borovinskaya, Olga; Meier, Florian; Drexel, Roland; Baalousha, Mohammed; Flamigni, Luca; Hegetschweiler, Andreas; Kraus, Tobias

doi:10.1016/j.chroma.2021.461981

Cited by 23 publications

(12 citation statements)

References 35 publications

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“…Two different approaches were tested for the processing of the resulting single-cell data: first, they were processed utilizing the particle processing module that is embedded in the operating software of the 2R ICP-ToF-MS instrument by TOFWERK. This processing is explained thoroughly by Meili-Borovinskaya et al 52 In order to obtain more control over the handling of the data, and the ability to access every individual step of the data processing and being able to monitor and altering it as well, a python-based script was developed. This was deemed necessary by the special nature of the data, due to the separation of the steps and the concentration of majority of the sample within a subsection of the dataset.…”

Section: Resultsmentioning

confidence: 99%

“…Then, it applies to each of them a repetitive process, as described by Pace et al , 57 with the purpose of identifying particle signals, according to a given threshold value (in this work, Th = mean + 2.72 + 3.29 × SD). 58 This approach is derived from the work of Meili-Borovinskaya et al 52 As a result, the original dataset is split into two datasets, one containing the cell-related pulses, and one containing everything else. Those datasets can then be accessed for the extraction of any useful information presented in this work, and potentially more.…”

Section: Resultsmentioning

confidence: 99%

“…36,44,51 Very recently, the benets of the ToF mass analyser have been combined with the advantages of the AF4 technique, providing a very efficient tool for the multielemental analysis of individual particles. 52 However, while FFF techniques have previously been incorporated in separation procedures of different cell populations, [53][54][55] there is, to this day and to the authors' best knowledge, no mention of the AF4 being used in the eld of single cell analysis.…”

Section: Introductionmentioning

confidence: 99%

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Single cell-asymmetrical flow field-flow fractionation/ICP-time of flight-mass spectrometry (sc-AF4/ICP-ToF-MS): an efficient alternative for the cleaning and multielemental analysis of individual cells

Chronakis

Meermann

2022

J. Anal. At. Spectrom.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Single cell-asymmetrical flow field-flow fractionation/ICP-time of flight-mass spectrometry (sc-AF4/ICP-ToF-MS): an efficient alternative for the cleaning and multielemental analysis of individual cells

Chronakis

Meermann

2022

J. Anal. At. Spectrom.

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“…Meanwhile, asymmetric flow field-flow fractionation (AF4), which is a size-based separation technique, was used to analyze various nanoparticles [6][7][8] and steels. [9][10][11] AF4 does not require chromatographic support and can achieve size-dependent separation. In addition, AF4 can be combined with various detectors, such as light-scattering, ultraviolet absorption, and inductively coupled plasma-mass spectrometry (ICP-MS) to obtain information on the separated samples.…”

Section: Quantification Of Nanoparticles Via Flow Injection Analysis ...mentioning

confidence: 99%

Quantification of Nanoparticles <i>via</i> Flow Injection Analysis Using Asymmetric Flow Field-flow Fractionation (AF4)

Itabashi

Mizukami

2022

ISIJ Int.

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To determine the number density of fine precipitates in steels by asymmetric flow field-flow fractionation (AF4) with inductively coupled plasma-mass spectrometry (ICP-MS), an analysis method employing flow injection was investigated. For accurate calibration, matrix matching was performed by mixing the standard solution and AF4 carrier solution in front of a nebulizer. Two surfactants were used for AF4 separation; it was found that the appropriate selection of surfactants based on their acidity constant is essential to avoid salt precipitation. In addition, the effect of the AF4 retention time on recovery was investigated. A long retention time led to the adsorption and aggregation of the samples in the AF4 separation channel. Results showed that an AF4 retention time within 20 min facilitated superior recovery. Moreover, five types of AuNPs were analyzed via AF4-ICP-MS and quantified using flow injection analysis. Good analytical performance was achieved for all AuNPs and the recoveries exceeded 93%, and the coefficient of variation was within 5%. The effect of particle size on the recovery was not confirmed.Furthermore, the developed flow injection analysis for AF4-ICP-MS was applied to evaluate niobium carbide (NbC) precipitates in steels. The number density of nanometer-sized NbC was quantified to be within 10 13 to 10 14 particles per 1 g of Fe. It was quantitatively confirmed that the long-duration heat treatment led to an increase in the number density of nanometer-sized NbC. Hence, this method can be useful for quantitatively analyzing the size and number density of nanoprecipitates in steels.

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“…In this case, the particle concentration was related to the number of NP events, and the particle size could be determined by the mass of the analyte . In recent years, spICP–MS has been successfully utilized to identify engineered nanoparticles (ENPs), such as Ag, − ZnO, ,− TiO 2 , ,,, CeO 2 , ,− CuO, and Au, ,− in soils and sediments. Several studies measured nanoparticulate metal(loid)s, including As, , Zn, Pt, Pb, Th, and U, in the environment by spICP–MS.…”

mentioning

confidence: 99%

Discrimination and Quantification of Soil Nanoparticles by Dual-Analyte Single Particle ICP–QMS

Ding

Liang²,

Xie

et al. 2022

Anal. Chem.

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This study presents the new application of dualanalyte single particle inductively coupled plasma quadrupole mass spectrometry (spICP−QMS) to the discrimination and quantification of two typical soil nanoparticles (kaolinite and goethite nanoparticles, abbr. KNPs and GNPs) in three samples (SA, SB, and SC) with three detection events (Al unpaired event, Fe unpaired event, and paired event). SA was mainly composed of KNPs with a concentration of 28 443 ± 817 particle mL −1 and a mean particle size of 140.7 ± 0.2 nm. SB was mainly composed of GNPs with a concentration of 39 283 ± 702 particle mL −1 and a mean particle size of 141.8 ± 2.9. In SC, the concentrations of KNPs and GNPs were 22 4541 ± 1401 and 70 604 ± 1623 particle mL −1 , respectively, and the mean particle sizes of KNPs and GNPs were 140.7 ± 0.2 and 60.2 ± 0.3 nm, respectively. The accuracy of dual-analyte spICP−QMS was determined by spiking experiments, comparing these results with the measurements of other techniques, analyzing the samples in different SA and SB proportions and in different SC concentrations. Our results demonstrated that the dual-analyte spICP−QMS is a promising approach to distinguishing different kinds of natural NPs in soils.

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Analysis of complex particle mixtures by asymmetrical flow field-flow fractionation coupled to inductively coupled plasma time-of-flight mass spectrometry

Cited by 23 publications

References 35 publications

Single cell-asymmetrical flow field-flow fractionation/ICP-time of flight-mass spectrometry (sc-AF4/ICP-ToF-MS): an efficient alternative for the cleaning and multielemental analysis of individual cells

Single cell-asymmetrical flow field-flow fractionation/ICP-time of flight-mass spectrometry (sc-AF4/ICP-ToF-MS): an efficient alternative for the cleaning and multielemental analysis of individual cells

Quantification of Nanoparticles <i>via</i> Flow Injection Analysis Using Asymmetric Flow Field-flow Fractionation (AF4)

Discrimination and Quantification of Soil Nanoparticles by Dual-Analyte Single Particle ICP–QMS

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