Determination of Nanoparticle Sizeand Number Concentration using the npquant Evaluation Module for Qtegra ISDS. The world leader in serving science

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1 Determination of Nanoparticle Sizeand Number Concentration using the npquant Evaluation Module for Qtegra ISDS 1 The world leader in serving science

2 A Task Set for a Modern ICP-MS Lab Sample Prep Quality Control Cd Si Pb Total Element Quantification HPLC-ICP-MS Speciation Analysis Cr Hg As IC-ICP-MS Al Ti Nanoparticle Characterization Ag Ce FFF-ICP-MS spicp-ms 2

3 Nanoparticle Characterization Ti Matrix Effects Sample Prep Tissues FFF Method Development Si Serum HDC Al sp-icp-ms Au Human Health Breath Environmental Impact/Fate C Fe Soil Ag Waters Ce Food 3

4 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 4

5 The Nanodefine EU project The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/ ) under grant agreement no Thermo Fisher is one partner among many others, academic and industry 5

6 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 6

7 Intensity [cts] Artefacts in spicp-ms A B C dwell time dwell time ~ 300 µs - 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 one measurement slot, leading to an overestimation of the particle size. The occurrence of such events can be estimated using Poisson statistics and can be reduced by sample dilution. 7

8 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 8

9 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),

10 Features Multiple particle fractions can be evaluated Different size regimes in one sample Editor allows to create user defined materials Composite materials, specific density 10

11 Single Particle ICP-MS for Characterization of AgNPs Raw data visualization Overlay or stack samples even in real time Direct data export 11

12 Data Evaluation Signal Distribution view Identify particle fractions Modify particle fraction thresholds Statistical Data Evaluation Recognize and eliminate artefacts 12

13 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),

14 Particle Size and Concentration Evaluation Display of all particle fractions per sample Calculates mass concentration for comparison 14

15 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 and 60 nm nominal diameter Result 27.4 ± 2.5 nm 15

16 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! 16

17 Question and Answer Session 17

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