Development of Data Analysis Software for Nanoparticle Measurements by ICP-Mass Spectrometry

Suzuki, Toshihiro; Yamashita, Shuji; Yoshikuni, Yukihisa; Hirata, Takafumi

doi:10.5702/massspec.s19-33

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Particle event detection with conventional criteria method The particle-event intensity and duration derived from the NPs were calculated using the analytical software NanoQuant developed by Suzuki et al 31 Any particle event whose height was larger than the mean plus 3 σ of the blank signal (criteria for detection) was used for further analysis. The lower and upper limits (criteria for histogram) of a signal considered to be NPs were determined from the histogram of the particle-event intensity.…”

Section: Methodsmentioning

confidence: 99%

Bayesian estimation to deconvolute single-particle ICP-MS data with a mixed Poisson distribution

Suzuki,

Kondo,

Harimoto

et al. 2024

J. Anal. At. Spectrom.

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Section: Methodsmentioning

confidence: 99%

Bayesian estimation to deconvolute single-particle ICP-MS data with a mixed Poisson distribution

Suzuki,

Kondo,

Harimoto

et al. 2024

J. Anal. At. Spectrom.

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“…The signal intensities of 194 Pt and 195 Pt isotopes were acquired for 17 minutes with a dwell time of 30 µs. The raw signal intensity data were processed for identification of particle events using an in-house software (NanoQuant: Suzuki et al, 2019;Hirata et al, 2020). Details of the sampling using the LAL technique, instrumentations, and operational settings of the ICP-MS systems are described in supplemental information A.…”

Section: Methodsmentioning

confidence: 99%

Elemental and isotopic signatures of individual particles in chondrite matrix using inductively coupled plasma mass spectrometry

Kurihara,

Numa,

Niki

et al. 2023

Geochem. J.

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Elemental and isotopic analyses of individual submicron-sized particles in chondrite matrix were made by an inductively coupled plasma time-of-flight mass spectrometer (ICP-TOF-MS) and a multiple collector-ICP-MS equipped with high-time resolution ion counters (HTR-MC-ICP-MS). The particles were collected from Allende CV3 chondrite through a laser ablation-in-liquid (LAL) technique. Firstly, the abundances for four major elements (Si, Al, Mg, and Fe) were determined on total 6086 particles, indicating that the Allende matrix is a mixture of submicron-sized particles made mainly of olivine, pyroxene, spinel, Fe-Ni sulfide and Fe-Ni metal, consistent with the predicted major constituent minerals by nebular condensation model. The major elemental compositions revealed that Fe-Ni particles are minor components (about 0.3% in number fraction) in the Allende matrix. Then, to estimate the origin of these metallic particles, abundances for Ni and two minor elements (Os and Pt) were measured. Total 10417 particles of Ni-Os-Pt bearing particles were also found in the chondrite matrix. Majority of the particles were enriched in Ni. Os and Pt were present as separated particles, and no particles with presence of both the Os and Pt were found. Finally, with the HTR-MC-ICP-MS technique, 195 Pt/ 194 Pt value was measured on total 1545 particles. The resulting 195 Pt/ 194 Pt value agreed with the solar composition within analytical uncertainties. This lack in isotopic anomalies of the 195 Pt/ 194 Pt can be explained either by majority of the Pt nuggets being produced from uniform reservoir in the solar system or by Pt being isotopically homogenized prior to the formation of the solar nebula.

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“…The intensity and duration of the particle events derived from the NPs were calculated by using the analytical software NanoQuant developed by Suzuki et al 25) . Transport efficiency (TE) was calculated based on measurements obtained using 50 pg/mL of Ag-NP(60).…”

Section: Ag-np Analysis Using Spicp-msmentioning

confidence: 99%

Analysis of Silver-containing Nanoparticles in Oysters Using Single-particle ICP-MS

SUZUKI,

HARIMOTO,

TAKAHASHI

et al. 2024

Kankyou Kagaku

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Summar ySilver-containing nanoparticles (Ag-NPs) are now used in a wide range of consumer products for their antibacterial properties. Human exposure to Ag-NPs can occur not only through contact with these products but also through foods that have become contaminated with Ag-NPs released from these products into the environment. However, the status of NPs in foods remains unknown due to the lack of an analytical method for the examination of NPs contained in solid samples such as foods. Recent evidence suggests that Ag-NPs released into the environment may accumulate in filter feeders such as oysters. Here, we developed a method for measuring the concentrations of Ag-NPs in oysters using single-particle inductively coupled mass spectrometry (spICP-MS). Ag-NPs were extracted from oysters using one of four extraction procedures (ultrasonic crushing, alkali-treated hydrolysis, solubilization with surfactant, or enzymatic digestion), and recoveries of spiked Ag-NP (diameter, 60 nm) in terms of particle size, particle number concentration, and particle mass concentration were evaluated. Among the four extraction procedures, enzymatic degradation afforded the highest recoveries for particle number concentration (85±13%) and particle mass concentration (93±14%) and had the smallest effect on particle size (110±3%). Using our developed spICP-MS approach with enzymatic degradation, we examined 24 samples of rock and Pacific oysters purchased on the Japanese market between 2019 and 2020 and found that they contained Ag-NPs at 6.3×10 5 to 7.7×10 8 particles/g. The particle mass concentrations ranged from 0.13 to 98 ng/g, and an average of 1.2% of the total Ag was present as nanoparticles. The present data also suggest a difference in the size of the Ag-NPs accumulated in rock oysters (28±2 nm) and Pacific oysters (25±4 nm); further studies are needed to examine this finding in more detail.

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Development of Data Analysis Software for Nanoparticle Measurements by ICP-Mass Spectrometry

Cited by 7 publications

References 9 publications

Bayesian estimation to deconvolute single-particle ICP-MS data with a mixed Poisson distribution

Bayesian estimation to deconvolute single-particle ICP-MS data with a mixed Poisson distribution

Elemental and isotopic signatures of individual particles in chondrite matrix using inductively coupled plasma mass spectrometry

Analysis of Silver-containing Nanoparticles in Oysters Using Single-particle ICP-MS

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