BS ISO 33405:2024
$215.11
Reference materials. Approaches for characterization and assessment of homogeneity and stability
Published By | Publication Date | Number of Pages |
BSI | 2024 | 110 |
PDF Catalog
PDF Pages | PDF Title |
---|---|
2 | undefined |
8 | Foreword |
9 | Introduction |
11 | 1 Scope 2 Normative references 3 Terms and definitions |
12 | 4 Symbols |
13 | 5 Conventions 6 Overview of reference material production 6.1 General 6.2 Summary of project design |
15 | 6.3 Acquisition of starting material |
16 | 6.4 Feasibility studies 6.5 Reference material processing 6.6 Homogeneity assessment 6.7 Stability assessment |
17 | 6.8 Choice of measurement procedures 6.9 Metrological traceability 6.10 Characterization and uncertainty evaluation 6.11 Commutability assessment 6.12 Transport issues |
18 | 6.13 Value assignment 6.14 Stability monitoring 6.15 Reference materials produced in repeated batches 7 Assessment of homogeneity 7.1 Preamble |
19 | 7.2 Need for an experimental homogeneity study |
20 | 7.3 Properties to be studied 7.4 Statistically valid sampling schemes 7.4.1 Minimum number of units for a homogeneity study |
22 | 7.4.2 Use of statistical power analysis 7.4.3 Sampling strategies for a homogeneity study |
23 | 7.5 Choice and conduct of the measurement procedure for a homogeneity study 7.5.1 Choice of measurement procedure 7.5.2 Conduct of measurements for homogeneity studies |
25 | 7.6 Homogeneity study designs 7.6.1 Objective of a homogeneity study |
26 | 7.6.2 The basic homogeneity study design – measurement in a single run |
27 | 7.6.3 Randomized block design 7.6.4 Balanced nested design 7.6.5 Alternative strategies |
28 | 7.7 Evaluating a homogeneity study 7.7.1 Initial inspection for measurement trends and outliers |
29 | 7.7.2 Inspection for processing trends 7.7.3 Evaluation of the between-unit term – basic design |
30 | 7.7.4 Evaluation of the between-unit term – randomized block design |
31 | 7.7.5 Evaluation of the between-unit term – balanced nested design 7.7.6 Other homogeneity designs and alternative estimation methods |
32 | 7.8 Insufficient repeatability of the measurement procedure 7.9 Within-unit homogeneity 7.9.1 Assessing the need for within-unit homogeneity study 7.9.2 Testing for significant within-unit heterogeneity |
34 | 7.9.3 Assessing minimum sample size |
35 | 7.10 Check for sufficient homogeneity |
36 | 7.11 Uncertainty evaluation from homogeneity studies 8 Assessment and monitoring of stability 8.1 Preamble |
37 | 8.2 Assessment of stability 8.2.1 Requirement for stability assessment 8.2.2 Types of (in)stability |
38 | 8.2.3 General methods for assessment of stability 8.2.4 Need for experimental study of stability |
39 | 8.3 Classification of stability studies 8.3.1 General 8.3.2 Classification according to conditions of measurement |
40 | 8.3.3 Classification according to stability study duration and conditions 8.3.4 Classification by study objective |
41 | 8.3.5 Designs for different storage and treatment conditions |
42 | 8.4 General requirements for effective stability studies 8.4.1 Overview of requirements 8.4.2 Selection of RM units 8.4.3 Suitable measurement procedure(s) for stability studies 8.4.4 Appropriate experimental design |
43 | 8.5 Evaluation of stability study results 8.5.1 General considerations for stability study data treatment |
44 | 8.5.2 The basic stability study: multiple points in time at a single storage condition |
46 | 8.5.3 Isochronous designs |
48 | 8.5.4 Accelerated stability studies with multiple exposure conditions |
51 | 8.5.5 Additional sources of random variation in stability studies 8.6 Action on finding a significant trend in a stability study |
52 | 8.7 Uncertainty evaluation from stability studies 8.7.1 General considerations for uncertainty evaluation from stability studies 8.7.2 Sources of uncertainty in predicted change over time |
53 | 8.7.3 Estimation of stability uncertainties in the absence of significant trends 8.7.4 Evaluation of stability uncertainties in the case of a known significant trend |
54 | 8.8 Estimation of storage lifetime (“shelf life”) from a stability study 8.9 Instructions for use related to management of stability 8.10 Stability monitoring 8.10.1 Requirements for monitoring |
55 | 8.10.2 Choice of initial monitoring point and monitoring interval(s) |
56 | 8.10.3 Experimental approaches and evaluation for stability monitoring |
57 | 9 Characterization of the material 9.1 Preamble |
58 | 9.2 Establishing metrological traceability 9.2.1 Principle 9.2.2 Metrological references |
59 | 9.2.3 Types of measurands 9.2.4 Effect of sample preparation or pre-treatment |
60 | 9.2.5 Verification of traceability 9.3 Characterization using a single reference measurement procedure (as defined in ISO/IEC Guide 99) in a single laboratory 9.3.1 Characterization by a reference measurement procedure without direct comparison with a CRM of the same kind |
61 | 9.3.2 Characterization by value transfer from a reference material to a closely matched candidate reference material using a single measurement procedure performed by one laboratory |
62 | 9.3.3 Selection of RM units for single-laboratory characterization 9.3.4 Formulation methods |
63 | 9.4 Characterization of a non-operationally defined measurand using two or more methods of demonstrable accuracy in one or more competent laboratories 9.4.1 Concept |
64 | 9.4.2 Study design |
65 | 9.4.3 Evaluation |
66 | 9.4.4 Single-laboratory multi-method studies 9.5 Characterization of an operationally defined measurand using a network of competent laboratories 9.5.1 Concept |
67 | 9.5.2 Study setup 9.5.3 Evaluation 9.6 Purity 9.6.1 General 9.6.2 Direct determination of purity |
68 | 9.6.3 Indirect determination of purity |
69 | 9.7 Ordinal scales 9.8 Nominal properties including identity 9.9 Characterization of non-certified values 10 Evaluating measurement uncertainty 10.1 Basis for evaluating the uncertainty of a property value of a CRM |
70 | 10.2 Basic model for a batch characterization |
71 | 10.3 Uncertainty sources 10.4 Coverage intervals and factors |
72 | Annex A (informative) Design and evaluation of studies for the characterization of a method-independent measurand using two or more methods of demonstrable accuracy in one or more competent laboratories |
83 | Annex B (informative) Statistical approaches |
94 | Annex C (informative) Examples |
104 | Annex D (informative) Measurement uncertainty evaluation |
105 | Bibliography |