دورية أكاديمية
Taking control of microplastics data: A comparison of control and blank data correction methods.
| العنوان: | Taking control of microplastics data: A comparison of control and blank data correction methods. |
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| المؤلفون: | Dawson AL; Australian Institute of Marine Science (AIMS), Townsville, Queensland 4810, Australia; CSIRO Agriculture and Food, 306 Carmody Rd, St Lucia, Queensland 4067, Australia. Electronic address: amanda.dawson@csiro.au., Santana MFM; Australian Institute of Marine Science (AIMS), Townsville, Queensland 4810, Australia; College of Science and Engineering, James Cook University, Townsville, Queensland 4811, Australia; AIMS@JCU, Division of Research and Innovation, James Cook University, Townsville, Queensland 4811, Australia., Nelis JLD; CSIRO Agriculture and Food, 306 Carmody Rd, St Lucia, Queensland 4067, Australia., Motti CA; Australian Institute of Marine Science (AIMS), Townsville, Queensland 4810, Australia; AIMS@JCU, Division of Research and Innovation, James Cook University, Townsville, Queensland 4811, Australia. |
| المصدر: | Journal of hazardous materials [J Hazard Mater] 2023 Feb 05; Vol. 443 (Pt A), pp. 130218. Date of Electronic Publication: 2022 Oct 20. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9422688 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3336 (Electronic) Linking ISSN: 03043894 NLM ISO Abbreviation: J Hazard Mater Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Amsterdam : Elsevier, |
| مواضيع طبية MeSH: | Microplastics* , Water Pollutants, Chemical*/analysis, Plastics ; Environmental Monitoring |
| مستخلص: | 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. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Background contamination; Data analysis; Harmonization; Negative controls; Quality assurance Quality control (QA/QC) |
| المشرفين على المادة: | 0 (Microplastics) 0 (Plastics) 0 (Water Pollutants, Chemical) |
| تواريخ الأحداث: | Date Created: 20221111 Date Completed: 20221115 Latest Revision: 20221115 |
| رمز التحديث: | 20221213 |
| DOI: | 10.1016/j.jhazmat.2022.130218 |
| PMID: | 36367473 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1873-3336 |
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| DOI: | 10.1016/j.jhazmat.2022.130218 |