Articles | Volume 19, issue 1
https://doi.org/10.5194/amt-19-323-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
A universal aerosol composition analysis method for optical tweezers measurement and its application to determine hygroscopic growth factor of single-particle aerosol
Download
- Final revised paper (published on 16 Jan 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 03 Nov 2025)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on egusphere-2025-5150', Anonymous Referee #1, 29 Nov 2025
- AC1: 'Reply on RC1', Chunsheng Zhao, 18 Dec 2025
-
RC2: 'Comment on egusphere-2025-5150', Anonymous Referee #2, 04 Dec 2025
- AC2: 'Reply on RC2', Chunsheng Zhao, 18 Dec 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Chunsheng Zhao on behalf of the Authors (18 Dec 2025)
Author's response
EF by Mario Ebel (19 Dec 2025)
Manuscript
Author's tracked changes
ED: Referee Nomination & Report Request started (20 Dec 2025) by Jian Xu
RR by Anonymous Referee #1 (30 Dec 2025)
ED: Publish as is (30 Dec 2025) by Jian Xu
AR by Chunsheng Zhao on behalf of the Authors (30 Dec 2025)
The manuscript presents scientifically valuable and timely work on advancing single-particle hygroscopicity measurements using aerosol optical tweezers. The authors propose a novel and robust methodology for retrieving dry particle size and hygroscopic growth factors, and the results show clear potential for improving our understanding of aerosol physicochemical properties and their representation in climate models. While the study is of high scientific relevance and demonstrates promising methodological innovation, the current version of the manuscript requires major improvements in clarity, structure, and methodological justification before it can be considered for publication.
Please specify the measurement duration at each relative humidity and discuss how it relates to the particle (droplet) relaxation time. This information is essential for assessing whether equilibrium conditions were reached during the measurements.
The meaning of the error bars is unclear. Do they represent standard deviation, standard error, or another metric? Please ensure consistency and explain why error bars are included in some cases but omitted in others. In Fig. S2C, the box plot presentation also requires clarification—do the bounds represent specific quantiles? Throughout the manuscript, any statistical tool or metric used should be explicitly defined and described.
Please explain why the RH range starts at 65%. What prevents measurements at lower humidities?
In line 52, the statement “accurate size measurements, high temporal resolution” requires quantification. How accurate are the size measurements, and what is the actual temporal resolution achieved? Please provide numerical values or ranges.
Have any statistical metrics been applied to evaluate model performance or measurement reliability (e.g., RMSE, confidence intervals, significance tests)? If so, please report them; if not, please justify their absence.
The manuscript discusses dry diameter retrieval extensively, yet the results for truly dry particles are not clearly presented. Since the method is applied mainly to droplets, please clarify how “dry conditions” are defined in practice. Additionally, hysteresis effects should be addressed: does the direction of RH change (humidification vs. dehumidification) influence the retrieved sizes or growth factors? Please elaborate.
The generated and analyzed particles (droplets?) are reported to fall within the 6–12 µm size range (line 71). What occurs when particles (droplets?) shrink below this range? Were such cases observed or excluded? Additionally, did the authors measure or retrieve any evolution of the size distribution (e.g., dn/dlog Dp) as humidity changed? Please clarify.
If I understand correctly, the study considers only soluble compounds, implying an internal mixing assumption. How would the method perform for externally mixed aerosols? In the presence of organic material or surfactants, additional effects may arise. While this may be beyond the current scope, such situations are common for pristine aerosols (e.g., sea spray). Could the authors comment or speculate, based on their experience and findings, on the applicability or limitations of the method in these cases?
The analysis assumes that uncertainties in measured particle radius and refractive index follow a normal distribution. What is the justification for this choice? Aerosol properties are typically lognormally distributed, and it is not clear that a normal distribution is the most appropriate representation of measurement uncertainty. Please explain why the normal assumption was selected and whether alternative distributions were considered.
The manuscript discusses only the real part of the refractive index, which governs scattering. What about absorption? Please comment on the imaginary part of the refractive index and whether it influences the retrievals or the applicability of the method.
You present the functional dependence of the growth factor for each individual compound, but it is unclear how this approach extends to mixtures. How does the functional form behave for a binary mixture of the analyzed components, and how would the growth factor be derived in such cases? Please clarify the applicability of the method to mixed systems.
The manuscript presents a schematic of the experimental setup. Would it be possible to include a photograph of the actual setup, at least in the Supplementary Information, to provide additional clarity and context?
line 91: Please define (spell out) the abbreviation when it first appears, "WGMs".
line 246: Figure 5: What is the BIC method?