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the npQuant Evaluation Module for Qtegra ISDS The world leader in - - PowerPoint PPT Presentation
the npQuant Evaluation Module for Qtegra ISDS The world leader in - - PowerPoint PPT Presentation
Determination of Nanoparticle Size- and Number Concentration using the npQuant Evaluation Module for Qtegra ISDS The world leader in serving science 1 A Task Set for a Modern ICP- MS Lab Sample Prep Pb HPLC-ICP-MS Cr Cd Hg As Quality
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Nanoparticle Characterization…
Method Development Environmental Impact/Fate Human Health Fe Ti Si Ag Tissues FFF Food Au Waters Ce Serum C Soil Al Matrix Effects Breath HDC sp-ICP-MS Sample Prep
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Key Requirements
- User Guidance through Method Defintion
- Automated Determination of key input parameters
- Options to effectively judge Data Quality
- Recognition of artefacts or false positives
- Ease of use in Routine Application
- Same look and feel for lab personnel
- Training requirements
- Option to seamlessly switch to different applications
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The Nanodefine EU project
- The research leading to these results has received funding
from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 604347
- Thermo Fisher is one partner among many others, academic
and industry www.nanodefine.eu
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Thermo Scientific iCAP Q for spICP-MS
- Increased Detection Sensitivity
through dedicated high sensitivity skimmer cone insert
- Fast data acquisition and real-time
display during measurement in the single-particle mode (as low as 0.1ms)
- Dedicated evaluation software for
Qtegra ISDS Straightforward setup, no peripherals required Direct information about particle size and concentration
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Artefacts in spICP-MS
- Split Particle Events (B): A nanoparticle signal is observed in two adjacent
measurement slots. The extent of split particle events depends on the nanoparticle pulse duration and the applied dwell time, and can be reduced by using longer dwell times.
- Double or Multiple Particle Events (C): Two or more particles are observed in
- ne measurement slot, leading to an overestimation of the particle size. The
- ccurrence of such events can be estimated using Poisson statistics and can be
reduced by sample dilution. ~ 300 µs Intensity [cts] dwell time dwell time
A B C
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npQuant - A new Evaluation Module
- npQuant Evaluation
Module
- Dedicated solution for
spICP-MS data acquisition and evaluation
- Available as add-on to
Qtegra ISDS 2.6
- Create Templates and LabBooks
- Uses Qtegra platform architecture to control peripheral devices
- LabBooks using different evaluation modules can be easily mixed
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Features
- Default Evaluation Parameters can be
determined through npQuant
- Transport Efficiency through particle measurement*
- Option to manually insert value
- Detection Sensitivity through calibration with ionic
standards
* Pace et al., Anal. Chem. 83 (2011), 9361-9369
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Features
- Multiple particle fractions can be evaluated
- Different size regimes in one sample
- Editor allows to create user defined materials
- Composite materials, specific density
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Single Particle ICP-MS for Characterization of AgNPs
- Raw data visualization
- Overlay or stack samples even in real time
- Direct data export
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Data Evaluation
- Signal Distribution view
- Identify particle fractions
- Modify particle fraction thresholds
- Statistical Data Evaluation
- Recognize and eliminate artefacts
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Statistical Data Evaluation
- Correct for split particle events*
- Proposal of dilution factor based on filled
slot ratio
- Poisson statistics to assess muliple
particle events
* Liu et al., Anal. Chem. 86 (2014), 3405-3414
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Particle Size and Concentration Evaluation
- Display of all particle fractions per sample
- Calculates mass concentration for
comparison
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Results
- Analysis of NIST 8013
- Au NP with 60nm nominal
diameter
- Result:
58.1 ± 3.0 nm
- approx. 21,000 partilces/mL
- Analysis of NIST 8012 in
presence of NIST 8013
- 30 and 60 nm nominal
diameter
- Result 27.4 ± 2.5 nm
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Conclusion
- spICP-MS is straightforward way to characterize
nanoparticles
- Increased detection sensitivity is the key to detect smaller and smaller
nanoparticles
- Easy experimental setup, short analysis time per sample
- The npQuant evaluation module guides the user through
method set-up and aids in data evaluation
- Automated determination of key parameters
- Statistical evaluation of data sets
On the way to routine characterization of Nanomaterials!
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