Taking control of microplastics data: A comparison of control and blank data correction methods

Dawson, Amanda L., Santana, Marina F.M., Nelis, Joost L.D., and Motti, Cherie A. (2023) Taking control of microplastics data: A comparison of control and blank data correction methods. Journal of Hazardous Materials, 443 (Part A). 130218.

[img]
Preview
PDF (Published Version) - Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview
View at Publisher Website: https://doi.org/10.1016/j.jhazmat.2022.1...
 
11
332


Abstract

Although significant headway has been achieved regarding method harmonisation for the analysis of microplastics, analysis and interpretation of control data has largely been overlooked. There is currently no consensus on the best method to utilise data generated from controls, and consequently many methods are arbitrarily employed. This study identified 6 commonly implemented strategies: a) No correction; b) Subtraction; c) Mean Subtraction; d) Spectral Similarity; e) Limits of detection/ limits of quantification (LOD/LOQ) or f) Statistical analysis, of which many variations are possible. Here, the 6 core methods and 45 variant methods (n = 51) thereof were used to correct a dummy dataset using control data. Most of the methods tested were too inflexible to account for the inherent variation present in microplastic data. Only 7 of the 51 methods tested (six LOD/LOQ methods and one statistical method) showed promise, removing between 96.3 % and 100 % of the contamination data from the dummy set. The remaining 44 methods resulted in deficient corrections for background contamination due to the heterogeneity of microplastics. These methods should be avoided in the future to avoid skewed results, especially in low abundance samples. Overall, LOD/LOQ methods or statistical analysis comparing means are recommended for future use in microplastic studies.

Item ID: 78408
Item Type: Article (Research - C1)
ISSN: 1873-3336
Keywords: Background contamination, Data analysis, Harmonization, Negative controls, Quality assurance Quality control (QA/QC)
Copyright Information: © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Date Deposited: 13 Jul 2023 00:51
FoR Codes: 41 ENVIRONMENTAL SCIENCES > 4105 Pollution and contamination > 410599 Pollution and contamination not elsewhere classified @ 100%
Downloads: Total: 332
Last 12 Months: 37
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page