2005
DOI: 10.1016/j.colsurfa.2004.10.026
|View full text |Cite
|
Sign up to set email alerts
|

Influence of the nature of the surface of polypyrrole films upon their interaction with volatile organic compounds

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
6
1
2

Year Published

2007
2007
2019
2019

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 12 publications
(9 citation statements)
references
References 5 publications
0
6
1
2
Order By: Relevance
“…For the composites, the addition of 10% PPy reduced the contact angle for PCL film by ≈8° (Figures c). Melo et al reported that polypyrrole doped with PTSA showed a contact angle close to 65° that is smaller than the PCL found here. We believe that the higher hydrophilicity of PPy and the composite roughness are responsible for the contact angle decrease of PCL film.…”
Section: Resultscontrasting
confidence: 72%
“…For the composites, the addition of 10% PPy reduced the contact angle for PCL film by ≈8° (Figures c). Melo et al reported that polypyrrole doped with PTSA showed a contact angle close to 65° that is smaller than the PCL found here. We believe that the higher hydrophilicity of PPy and the composite roughness are responsible for the contact angle decrease of PCL film.…”
Section: Resultscontrasting
confidence: 72%
“…The films presented the first advancing contact angle (θ a,1 ) values very different. The PPyClO 4 sample showed a contact angle value of 104°, which confirms its hydrophobic behavior 28. On the other hand, PPyPSacc samples revealed their hydrophilic nature showing values lower than 90°, the PPyHep material being the most hydrophilic sample.…”
Section: Resultsmentioning
confidence: 53%
“…In the previous sensor development and evaluation studies, principal component analysis (PCA) has been used to discriminate the sensor sensitivities to various VOCs [31,34,43]. PCA reduces the correlation (redundancy) within the sensor sensitivities for each VOC class and orthogonally projects the sensitivity data on a few uncorrelated dimensions [35] to obtain the maximum variation components that can be used to classify the VOC classes.…”
Section: Discussionmentioning
confidence: 99%