Ultrasonic-Assisted Deposition Method for Creating Conductive Wrinkles on PDMS Surfaces
Round 1
Reviewer 1 Report
As described in the introduction in this manuscript, the CNT-PDMS is not new in the literature.
The author made a great job with the morphological characterization with CNT-PDMS, RGO-PDMS and SiO2-PDMS with optical images and SEM.
The authors used 1D CNTs, 2D RGO and 0D SiO2 particles. It would be better instead of using SiO2 particles, a better comparison will be 0D graphene quantum dots.
CNT-PDMS electrical characterization, including the characteristic electrical fingerprint such as stretching, and blinking was done good. The issue with this manuscript is the lack of data in the electrical characterization with the RGO and SiO2 in the PDMS.
If they can provide these minor comments. It can be published in this journal.
Author Response
Please see the attachment
Author Response File: 
Author Response.docx
Reviewer 2 Report
Thanks to the authors for the manuscript. The introduction does not demonstrate the contribution of this method compared with the state-of-the-art. This introduction must be improved. Apart from this, the paper can be accepted.
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Reviewer 3 Report
Lele Li and co-authors presented a manuscript entitled “Ultrasonic-assisted deposition method for creating conductive wrinkles on PDMS surfaces”.
Very good introduction, with a good explication about the pertinence of new methods for creating wrinkles on polymeric surfaces. The authors propose a new ultrasonic-assisted deposition strategy to create labyrinth wrinkled surface layer on PDMS fiber, testing the anchored of CNTs, RGO and SiO2 nanoparticles. The effect of the swelling induced by the solvent in the nanoparticle’s dispersion as well as the effect of the ultrasonic treatment in the surface layer deposition was studied. The ultrasonic-assisted deposition method was tested in various PDMS surfaces shapes (fibers, sheets, sponges) showing the versatility of the deposition method. Additionally, the CNTs@PDMS fiber was used as a strain sensor with excellent stretchability and tunable strain-sensing performance opening the possibility to be applied as human motion detection, voice recognition, and air flow monitoring. Conclusions are in agreement with the experimental data presented.
The article is very interesting and has quality to be published. Although, I have some minor correction that should be taken into account:
Line 94: Purity of the solvents used should be included.
Line 111: How were the particle concentrations chosen? Did you test with other concentrations?
Line 125: more experimental details should be available: SEM (pressure, voltage, spot size, working distance); Are data of replicas available? How were performed the conductivity measurements (for example, preparation o samples or frequency used in the measurement).
All figures resolution should be improved. Since the article is mainly focused on the morphological characterization by SEM, its mandatory to have figures with high resolution. Probably the resolution was reduced after pdf conversion, but this should be taken into account.
Line 231: (e, f) is missing
What represents and how are calculated the errors bars presented in figures 3e and 6a? Is it the standard deviation considering different sample replicas? If yes, how much replicas were performed?
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Round 2
Reviewer 1 Report
The authors address the comments, this manuscript should be published
