the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An interlaboratory comparison to quantify oxidative potential measurement in aerosol particles: challenges and recommendations for harmonisation
Pamela A. Dominutti
Jean-Luc Jaffrezo
Anouk Marsal
Takoua Mhadhbi
Rhabira Elazzouzi
Camille Rak
Fabrizia Cavalli
Jean-Philippe Putaud
Aikaterini Bougiatioti
Nikolaos Mihalopoulos
Despina Paraskevopoulou
Ian Mudway
Athanasios Nenes
Kaspar R. Daellenbach
Catherine Banach
Steven J. Campbell
Hana Cigánková
Daniele Contini
Greg Evans
Maria Georgopoulou
Manuella Ghanem
Drew A. Glencross
Maria Rachele Guascito
Hartmut Herrmann
Saima Iram
Maja Jovanović
Milena Jovašević-Stojanović
Markus Kalberer
Ingeborg M. Kooter
Suzanne E. Paulson
Anil Patel
Esperanza Perdrix
Maria Chiara Pietrogrande
Pavel Mikuška
Jean-Jacques Sauvain
Katerina Seitanidi
Pourya Shahpoury
Eduardo J. d. S. Souza
Sarah Steimer
Svetlana Stevanovic
Guillaume Suarez
P. S. Ganesh Subramanian
Battist Utinger
Marloes F. van Os
Vishal Verma
Xing Wang
Rodney J. Weber
Yuhan Yang
Xavier Querol
Gerard Hoek
Roy M. Harrison
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- Final revised paper (published on 13 Jan 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 24 Jul 2024)
- Supplement to the preprint
Interactive discussion
Status: closed
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RC1: 'Comment on amt-2024-107', Anonymous Referee #4, 15 Sep 2024
Please see my comments in the attached .pdf file.
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AC1: 'Reply on RC2', Pamela Dominutti, 21 Oct 2024
The comment was uploaded in the form of a supplement: https://amt.copernicus.org/preprints/amt-2024-107/amt-2024-107-AC1-supplement.pdf
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AC1: 'Reply on RC2', Pamela Dominutti, 21 Oct 2024
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RC2: 'Comment on amt-2024-107', Anonymous Referee #3, 18 Sep 2024
The strength of this manuscript lies in its cross-laboratory comparison of the DTT assay for evaluating the oxidative potential (OP) of particulate matter. The study's objective—assessing the assay's reliability by involving a relatively large number of laboratories and identifying uncertainties—was clear and well-intentioned. However, I found the analysis of the results lacking in solid statistical foundations. Some data treatments appear arbitrary and lack justification, such as the selection of "assigned values" for bias evaluation, which raises questions about key interpretations. The manuscript can provide clearer statistical inferences, and some results, such as the COV and z-score, appear to overlap statistically, adding redundancy rather than clarity. Citations for some statements are vague, imprecise, or insufficient. While the manuscript presents common statistical values from various labs, It is unclear how these observations provide practically beneficial insights into the variation in outcomes and their underlying causes. Some specific comments are given below.
L99: I cannot reference the citation “WHO 2017” in the reference list.
L 102-103: I find it difficult to precisely support the claims from the references- “Huang et al., 2022; Nicholson et al., 2022; Wilker et al.,103 2023; Zare Sakhvidi et al., 2022 “. I did not find evidence from these studies to link PM to mortality. I also recommend increasing the citations' precision- e.g., cite the exact reference to support the oxidative stress and inflammation in the statement.
L 106: I don't find this reference supporting the claimed "unifying mechanism" from “Li et al., 2018”.
L 333: How do the authors determine the number of 20 here ?
L342 - 343: It is unclear to me what “values obtained for the dataset” that is suggested to jeopardize the use of the algorithm.
L348-351: The authors appear to arbitrarily toss the high-variance outcome. How to justify this without compromising the statistical significance ?
L369-373: Describing more details of the statistical method would be beneficial.
Citation: https://doi.org/10.5194/amt-2024-107-RC2 -
AC1: 'Reply on RC2', Pamela Dominutti, 21 Oct 2024
The comment was uploaded in the form of a supplement: https://amt.copernicus.org/preprints/amt-2024-107/amt-2024-107-AC1-supplement.pdf
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AC1: 'Reply on RC2', Pamela Dominutti, 21 Oct 2024