PMID- 35853965
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220724
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 12
IP  - 1
DP  - 2022 Jul 19
TI  - Unencapsulated and washable two-dimensional material electronic-textile for NO(2) 
      sensing in ambient air.
PG  - 12288
LID - 10.1038/s41598-022-16617-1 [doi]
LID - 12288
AB  - Materials adopted in electronic gas sensors, such as chemiresistive-based NO(2) 
      sensors, for integration in clothing fail to survive standard wash cycles due to 
      the combined effect of aggressive chemicals in washing liquids and mechanical 
      abrasion. Device failure can be mitigated by using encapsulation materials, 
      which, however, reduces the sensor performance in terms of sensitivity, 
      selectivity, and therefore utility. A highly sensitive NO(2) electronic textile 
      (e-textile) sensor was fabricated on Nylon fabric, which is resistant to standard 
      washing cycles, by coating Graphene Oxide (GO), and GO/Molybdenum disulfide 
      (GO/MoS(2)) and carrying out in situ reduction of the GO to Reduced Graphene 
      Oxide (RGO). The GO/MoS(2) e-textile was selective to NO(2) and showed 
      sensitivity to 20 ppb NO(2) in dry air (0.05%/ppb) and 100 ppb NO(2) in humid air 
      (60% RH) with a limit of detection (LOD) of ~ 7.3 ppb. The selectivity and low 
      LOD is achieved with the sensor operating at ambient temperatures (~ 20  degrees C). The 
      sensor maintained its functionality after undergoing 100 cycles of standardised 
      washing with no encapsulation. The relationship between temperature, humidity and 
      sensor response was investigated. The e-textile sensor was embedded with a 
      microcontroller system, enabling wireless transmission of the measurement data to 
      a mobile phone. These results show the potential for integrating air quality 
      sensors on washable clothing for high spatial resolution (< 25 cm(2))-on-body 
      personal exposure monitoring.
CI  - (c) 2022. The Author(s).
FAU - Oluwasanya, Pelumi W
AU  - Oluwasanya PW
AD  - Cambridge Graphene Centre, Department of Engineering, University of Cambridge, 
      Cambridge, UK.
FAU - Carey, Tian
AU  - Carey T
AD  - Cambridge Graphene Centre, Department of Engineering, University of Cambridge, 
      Cambridge, UK. tian.carey@cantab.net.
AD  - CRANN and AMBER Research Centres, Trinity College Dublin, Dublin, Ireland. 
      tian.carey@cantab.net.
FAU - Samad, Yarjan Abdul
AU  - Samad YA
AD  - Cambridge Graphene Centre, Department of Engineering, University of Cambridge, 
      Cambridge, UK. yy418@cam.ac.uk.
FAU - Occhipinti, Luigi G
AU  - Occhipinti LG
AD  - Cambridge Graphene Centre, Department of Engineering, University of Cambridge, 
      Cambridge, UK. lgo23@cam.ac.uk.
LA  - eng
GR  - EP/LO15889/1/EPSRC/
GR  - EP/KO3099X/1/EPSRC/
GR  - 103543/Innovate UK/
GR  - 685758/European Commission/
GR  - 881603/European Commission/
PT  - Journal Article
DEP - 20220719
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
SB  - IM
PMC - PMC9296651
COIS- The authors declare no competing interests.
EDAT- 2022/07/20 06:00
MHDA- 2022/07/20 06:01
PMCR- 2022/07/19
CRDT- 2022/07/19 23:23
PHST- 2022/02/10 00:00 [received]
PHST- 2022/07/12 00:00 [accepted]
PHST- 2022/07/19 23:23 [entrez]
PHST- 2022/07/20 06:00 [pubmed]
PHST- 2022/07/20 06:01 [medline]
PHST- 2022/07/19 00:00 [pmc-release]
AID - 10.1038/s41598-022-16617-1 [pii]
AID - 16617 [pii]
AID - 10.1038/s41598-022-16617-1 [doi]
PST - epublish
SO  - Sci Rep. 2022 Jul 19;12(1):12288. doi: 10.1038/s41598-022-16617-1.