BSI PD CEN/TS 17273:2018:2019 Edition
$198.66
Nanotechnologies. Guidance on detection and identification of nano-objects in complex matrices
| Published By | Publication Date | Number of Pages |
| BSI | 2019 | 66 |
This document sets requirements for sampling and treatment of the complex matrices in order to obtain a liquid dispersion with sufficiently high concentration of the nano-objects of interest. This document provides guidelines for detection and identification of specific nano-objects in complex matrices, such as liquid environmental compartments, waste water and consumer products (e.g. food, cosmetics). This document requires for the identification a priori knowledge of the nature of the nano-objects like their chemical composition. The selected detection and identification methods are based on a combination of size classification and chemical composition analysis. Identification can also be supported, e.g. by additional morphology characterization. Currently only Field Flow Fractionation, Electron Microscopy and single particle Inductively Coupled Plasma – Mass Spectrometry fulfil this combination condition.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 2 | undefined |
| 7 | Introduction |
| 9 | 1 Scope 2 Normative references |
| 10 | 3 Terms and definitions |
| 11 | 4 Symbols and abbreviations |
| 13 | 5 Possible tasks and measuring techniques 5.1 Examples for detection and identification tasks in complex matrices 5.2 Overview of measurement techniques |
| 14 | 6 Guidance on sample preparation, particle detection and identification of nano-objects in complex matrices 6.1 Approach for “Detection and Identification of a relevant population of nano-objects based on a priori knowledge” (guidance chart) |
| 17 | 6.2 Information about the targeted nano-objects |
| 18 | 6.3 Information about the sample matrix 6.4 Sample Preparation Process Quality assessment 6.4.1 Suspension, dispersion with recovery evaluation and property assessment 6.4.2 Initial size distribution measurement and mass concentration measurement of all isolated nano-objects |
| 20 | 6.5 Measurement of the targeted nano-objects and evaluation 7 Selected measuring techniques for the detection and identification of nano-objects 7.1 Field-Flow-Fractionation (FFF) technique 7.1.1 General |
| 21 | 7.1.2 Fractionation principle and theory — Fractionation principle |
| 22 | 7.1.3 Detection principle |
| 23 | 7.1.4 Performance |
| 24 | 7.1.5 Sample preparation |
| 25 | 7.1.6 Analysis report and interpretation of results 7.2 Electron Microscopy (EM) technique 7.2.1 General |
| 26 | 7.2.2 Measuring principle of Electron Microscopy 7.2.2.1 General 7.2.2.2 Transmission Electron Microscopy (TEM) 7.2.2.3 Scanning Electron Microscopy including Scanning Transmission Electron Microscopy |
| 27 | 7.2.3 Performance of Electron Microscopy |
| 28 | 7.2.4 Specimen preparation for Electron Microscopy |
| 29 | 7.2.5 Interpretation of Electron Microscopy results |
| 30 | 7.3 Single particle Inductively Coupled Plasma Mass Spetrometry (spICP-MS) 7.3.1 Measuring principle 7.3.2 Performance |
| 32 | 7.3.3 Sample preparation 7.3.4 Interpretation of results |
| 34 | 8 List of reporting requirements on sample preparation, detection and identification of nano-objects in complex matrixes 8.1 General reporting 8.2 Sample preparation reporting, explained in Clause 6 |
| 35 | 8.3 Measurement reporting, explained in Clause 7 |
| 36 | Annex A (informative)Indicative ranges of size and concentration of selected measuring techniques |
| 38 | Annex B (normative)Theory of F4 separations, precautions when separating broad particle size distributions and sample preparation B.1 Theory of F4 separations |
| 39 | B.2 F4 calibration using F4 theory or external references |
| 41 | B.3 Approaches to prepare complex samples for FFF |
| 43 | Annex C (informative)Example: Analysis of the release of particles from the coating of silver-coloured pearls by a combination of descriptive TEM analysis, electron diffraction, analytical TEM and quantitative TEM C.1 Approach and methodology |
| 44 | C.2 Results |
| 47 | Annex D (informative)Example: Single particle ICP-MS for sizing and quantitative determination of nano-silver in chicken meat D.1 Introduction D.2 Method Description D.2.1 Materials and Methods D.2.2 Sample Preparation D.2.3 Instrumental Analysis |
| 48 | D.2.4 Data Processing D.3 Results and Discussion D.3.1 Sample enzymatic digestion: soft conditions to preserve particle characteristics |
| 49 | D.3.2 Study Design and Results of Validation D.3.3 Repeatability, reproducibility, and trueness |
| 50 | D.3.4 Linearity and LOD/LOQ, Robustness, specificity/selectivity |
| 52 | Annex E (informative)Overview of alternative detection methods E.1 General |
| 53 | E.2 Particle Tracking Analysis (PTA) |
| 54 | E.3 Tracer methods by using stable isotopic labelled nano-objects |
| 55 | E.4 HyperSpectral Imaging System (HSIS) by scattering in a dark-field background E.5 Size evaluation by UV-vis spectroscopy E.6 Sizing nano-objects in liquids using differential mobility analysing system (DMAS) |
| 56 | E.7 Laser-Induced Breakdown Detection (LIBD) |
| 57 | E.8 Hydrodynamic chromatography ICP-MS (HDC-ICP-MS) and size exclusion ICP-MS (SEC-ICP-MS) |
