PMID- 35890827
OWN - NLM
STAT- MEDLINE
DCOM- 20220728
LR  - 20220731
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 22
IP  - 14
DP  - 2022 Jul 8
TI  - Easy-Scalable Flexible Sensors Made of Carbon Nanotube-Doped 
      Polydimethylsiloxane: Analysis of Manufacturing Conditions and Proof of Concept.
LID - 10.3390/s22145147 [doi]
LID - 5147
AB  - Carbon nanotube (CNT) reinforced polydimethylsiloxane (PDMS) easy-scalable 
      sensors for human motion monitoring are proposed. First, the analysis of the 
      dispersion procedure of nanoparticles into the polymer matrix shows that the 
      ultrasonication (US) technique provides a higher electrical sensitivity in 
      comparison to three-roll milling (3RM) due to the higher homogeneity of the CNT 
      distribution induced by the cavitation forces. Furthermore, the gauge factor (GF) 
      calculated from tensile tests decreases with increasing the CNT content, as the 
      interparticle distance between CNTs is reduced and, thus, the contribution of the 
      tunnelling mechanisms diminishes. Therefore, the optimum conditions were set at 
      0.4 CNT wt.% dispersed by US procedure, providing a GF of approximately 37 for 
      large strains. The electrical response under cycling load was tested at 2%, 5%, 
      and 10% strain level, indicating a high robustness of the developed sensors. 
      Thus, this strain sensor is in a privileged position with respect to the 
      state-of-the-art, considering all the characteristics that this type of sensor 
      must accomplish: high GF, high flexibility, high reproducibility, easy 
      manufacturing, and friendly operation. Finally, a proof-of-concept of human 
      motion monitoring by placing a sensor for elbow and finger movements is carried 
      out. The electrical resistance was found to increase, as expected, with the 
      bending angle and it is totally recovered after stretching, indicating that there 
      is no prevalent damage and highlighting the huge robustness and applicability of 
      the proposed materials as wearable sensors.
FAU - Del Bosque, Antonio
AU  - Del Bosque A
AUID- ORCID: 0000-0002-8301-2159
AD  - Materials Science and Engineering Area, Escuela Superior de Ciencias 
      Experimentales y Tecnologia, Universidad Rey Juan Carlos, C/Tulipan s/n, 
      Mostoles, 28933 Madrid, Spain.
FAU - Sanchez-Romate, Xoan F
AU  - Sanchez-Romate XF
AUID- ORCID: 0000-0001-9283-4712
AD  - Materials Science and Engineering Area, Escuela Superior de Ciencias 
      Experimentales y Tecnologia, Universidad Rey Juan Carlos, C/Tulipan s/n, 
      Mostoles, 28933 Madrid, Spain.
FAU - Sanchez, Maria
AU  - Sanchez M
AUID- ORCID: 0000-0003-2823-5103
AD  - Materials Science and Engineering Area, Escuela Superior de Ciencias 
      Experimentales y Tecnologia, Universidad Rey Juan Carlos, C/Tulipan s/n, 
      Mostoles, 28933 Madrid, Spain.
FAU - Urena, Alejandro
AU  - Urena A
AUID- ORCID: 0000-0002-5049-7954
AD  - Materials Science and Engineering Area, Escuela Superior de Ciencias 
      Experimentales y Tecnologia, Universidad Rey Juan Carlos, C/Tulipan s/n, 
      Mostoles, 28933 Madrid, Spain.
LA  - eng
GR  - MULTIFUNC-EVs PID2019-107874RB-I00/Agencia Estatal de Investigacion of Spanish 
      Government/
GR  - Project ADITIMAT-CM (S2018/NMT-4411)/Comunidad de Madrid Government/
PT  - Journal Article
DEP - 20220708
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
RN  - 0 (Dimethylpolysiloxanes)
RN  - 0 (Nanotubes, Carbon)
SB  - IM
MH  - Dimethylpolysiloxanes
MH  - Humans
MH  - Motion
MH  - *Nanotubes, Carbon
MH  - Reproducibility of Results
MH  - *Wearable Electronic Devices
PMC - PMC9316376
OTO - NOTNLM
OT  - PDMS
OT  - carbon nanotubes
OT  - human motion monitoring
OT  - stretchable sensors
COIS- The authors declare no conflict of interest.
EDAT- 2022/07/28 06:00
MHDA- 2022/07/29 06:00
PMCR- 2022/07/08
CRDT- 2022/07/27 01:41
PHST- 2022/06/14 00:00 [received]
PHST- 2022/07/01 00:00 [revised]
PHST- 2022/07/07 00:00 [accepted]
PHST- 2022/07/27 01:41 [entrez]
PHST- 2022/07/28 06:00 [pubmed]
PHST- 2022/07/29 06:00 [medline]
PHST- 2022/07/08 00:00 [pmc-release]
AID - s22145147 [pii]
AID - sensors-22-05147 [pii]
AID - 10.3390/s22145147 [doi]
PST - epublish
SO  - Sensors (Basel). 2022 Jul 8;22(14):5147. doi: 10.3390/s22145147.