BSI PD ISO/TR 22814:2020
$167.15
Good practice for dynamic light scattering (DLS) measurements
| Published By | Publication Date | Number of Pages |
| BSI | 2020 | 34 |
This document provides practical guidance for performing and interpreting measurements using dynamic light scattering (DLS) that goes beyond the treatment of measurement artefacts in ISO 22412:2017.
This document is intended to help users with experiments planning, in particular with respect to obtaining the necessary information on the sample and deciding whether DLS is the most appropriate method. It provides information on how to prepare samples in an appropriate way, verify the proper functioning of the instrument and interpret the data correctly, including ways to assess data quality.
This document focuses on the practical steps required to obtain DLS results of good quality, rather than on theoretical considerations, and covers not only the measurement of solid particles, but also emulsions and bubbles.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 2 | National foreword |
| 8 | Foreword |
| 9 | Introduction |
| 11 | 1 Scope 2 Normative references 3 Terms and definitions 4 Instrument types 4.1 General |
| 12 | 4.2 Information prior to analysis 4.2.1 Sample information |
| 13 | 4.2.2 Desired outcome of analysis |
| 14 | 4.3 Appropriateness of samples for DLS analysis |
| 15 | 4.4 Sample preparation 4.4.1 General 4.4.2 Dispersion |
| 16 | 4.4.3 Filtering of sedimenting particle systems |
| 17 | 4.4.4 Dissolution and expansion 4.4.5 Colour of samples |
| 18 | 4.4.6 Dilution |
| 19 | 4.4.7 Generation of air bubbles 4.4.8 Measurement cell (only relevant when using cuvettes in a homodyne setup) 4.5 Instrument verification 4.5.1 General 4.5.2 Operation qualification |
| 20 | 4.6 Data quality and interpretation: Correlation analysis 4.6.1 Interpretation of correlograms |
| 21 | 4.6.2 Interpretation of particle size distribution |
| 22 | 4.6.3 Conversion from intensity to volume or number-based results |
| 23 | 4.6.4 Influence of the observed scattering angle 4.6.5 How to judge good data quality |
| 24 | 4.7 Data quality and interpretation: Frequency power spectrum analysis 4.7.1 Frequency power spectrum |
| 25 | 4.7.2 Precision and run time |
| 26 | 4.7.3 Sample quality |
| 29 | 4.8 Method robustness 4.8.1 Robustness 4.8.2 Ruggedness 4.8.3 Investigation of these parameters |
| 32 | Bibliography |
