detection of al 2 o 3 particles in toothpaste by fff icp
play

Detection of Al 2 O 3 particles in toothpaste by FFF- ICP-MS - PowerPoint PPT Presentation

Detection of Al 2 O 3 particles in toothpaste by FFF- ICP-MS (confirmatory method) Manuel Correia, Katrin Loeschner National Food Institute, Technical University of Denmark (DTU) manco@food.dtu.dk NanoDefine Outreach Event Brussels, September


  1. Detection of Al 2 O 3 particles in toothpaste by FFF- ICP-MS (confirmatory method) Manuel Correia, Katrin Loeschner National Food Institute, Technical University of Denmark (DTU) manco@food.dtu.dk NanoDefine Outreach Event Brussels, September 2017 NanoDefine is funded by the European Community's Seventh Framework Programme under Grant Agreement-604347

  2. Background Why Al 2 O 3 particles in toothpaste?  Relevant in terms of risk assessment and labelling for cosmetics  Al 2 O 3 particles not widely covered in other projects  Complex mixture containing different types of nano/micro-particles (e.g. SiO 2 , Al 2 O 3 ) Aims of the work:  Develop a suitable sample preparation method for analyzing Al 2 O 3 in toothpaste by FFF-ICP-MS  Develop the FFF-ICP-MS method and determine particle size and number concentration of Al 2 O 3 particles in toothpaste 2

  3. Characteristics of the test toothpaste SiO 2 Al 2 O 3 TiO 2 (abrasive) (abrasive) (pigment) Ingredients: Aqua, Hydrated Silica, Sorbitol, Alumina, Olaflur, Hydroxyethylcellulose, Aroma, PEG-40 Hydrogenated Castor Oil, Stearic Acid, Sodium Saccharin, Cocamidopropyl Betaine, Citric Acid, Limonene, CI 77891, 3- (N-hexadecyl-N-2-hydroxiethylammonio)propyl-bis(2-hydroxiethyl)ammoniumdifluorid (1400 ppm F-) Al 2 O 3 TiO 2 SiO 2 19.7 ± 4.5 8.7 ± 0.6 238.4 ± 6.8 Concentration (mg/g, N=3) Crystall. phases Corundum Anatase - (XRD, BAM) Crystall. size 26 36 - (nm, XRD, BAM) Courtesy of BAM 3

  4. Pre-characterization of the toothpaste DLS and zeta-potential TEM-EDX Zave = 267 nm Zeta pot: -42 mV  Complex and polydisperse NP mixture  Proper separation and identification of the different NPs is required → FFF -ICP-MS Toni Uusimäki, EAWAG 4

  5. FFF-MALS/ICP-MS method development Sample preparation Tested on-line detectors Matrix dilution UV-vis absorption Chemical oxidation with H 2 O 2 Dynamic light scattering (DLS) Multi angle light scattering (MALS) AF4 separation parameters ICP-MS Carrier liquid (SDS, FL70, etc) ICP-MS required for element- Channel and membrane charact. specific information! Cross flow rate Focus/injection parameters Injected mass 5

  6. Results: Sample preparation Matrix dilution vs Chemical oxidation with H 2 O 2 (MALS data) • Matrix dilution: unusual elution profile for and lower overall MALS signal • Chemical oxidation: ~60% recovery in comparison to flow injections (based on light scattering) → Chemical oxidation with selected as sample preparation procedure for analysis by FFF-MALS-ICP-MS 6

  7. Results: AF4-MALS and AF4-ICP-MS Toothpaste after H 2 O 2 digestion, m inj = 10 µg ICPMS ( 27 Al) MALS • Three particles types (SiO 2 , Al 2 O 3 and TiO 2 ) contribute to the light scattering → elemental specific detection by ICP-MS is required 7

  8. Results: FFF method development Optimization of FFF conditions (for optimal recovery and conversion to number distributions (noise level, removal of void peak) Carrier liquid composition Cross-flow optimization • Other parameters tested: membrane composition, carrier liquid (SDS, FL70, focus conditions), injection mass/volume 8

  9. Results: FFF method performance Good reproducibility Linear response (6 different membranes) (5, 10, 25 µg inj. toothp.) • Method can provide reproducible AF4-ICP-MS fractograms for Al 2 O 3 • Drawback: low Al recoveries -15-20 % AF4-ICPMS recovery (losses to membrane, large particles) 9

  10. Results: FFF method performance Conversion to number-based particle size distribution Number-based PSD Mass-based PSD Artifact Presence of artifact in mass-based PSD (no particles detected by sp- If log-normal fit is applied → d 50 = 155 nm, analysed Al 2 O 3 not consid. nanomaterial ICPMS after analysis of AF4 fractions → log-normal fit) 10

  11. Summary and conclusions A FFF-ICP-MS method was sucessfully developed for • separating and analyzing unknown Al 2 O 3 particles in toothpaste Mass recoveries were not satisfactory in certain cases this • is difficult to avoid (loss of large particles) Secondary confirmatory method is required (e.g. artifacts) • → FFF -ICP-MS requires fine tuning for specific particle/matrix combinations 11

  12. Thank you for your attention! New address since Easter 2017: Research Group for Nano-Bio DTU ´ s new building for Life Science & Science Bioengineering Toni Uusimäki “This project has received funding from the European Union’s Seventh Programme for research, technological development and demonstration under grant agreement No 604347”. 12

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend