TY - JOUR
T1 - Supersensitive metal free in-situ synthesized graphene oxide@cellulose nanocrystals acetone sensitive bioderived sensors
AU - Orasugh, Jonathan Tersur
AU - Saasa, Valentine
AU - Ray, Suprakas Sinha
AU - Mwakikunga, Bonex
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/6/30
Y1 - 2023/6/30
N2 - A series of graphene oxide@cellulose nanocrystal (GO@CNC) nanoparticles (NPs) were synthesized in this study using a room temperature-based simple modified hummers process. The morphological structures, as well as chemical characteristics of these materials, were characterized using transmission electron microscopy (TEM), X-ray diffraction (XRD), and other techniques. The results show that the as-prepared nanoparticles are made up of crystallite grains with an average size of around 7.82, 14.69, 10.77, 7.82, and 12.51 nm for GO, CNC, GO1@CNC1, GO2@CNC3, and GO3@CNC3 respectively, and [sbnd]OH & [sbnd]COOH functionalities on the NPs' surfaces. GO@CNC NPs exhibit significantly better sensing characteristics towards acetone when compared to virgin GO nanoplatelets; specifically, the optimal sensor based on GO3@CNC3 NPs showed the highest response (60.88 at 5 ppm), which was higher than that of the virgin GO sensor at 200 °C operating temperature and including those reported. Furthermore, the sensors have a high sensitivity towards acetone in sub-ppm concentrations as well as a detection limit of 5 ppm, making it a viable candidate for diabetes breath testing.
AB - A series of graphene oxide@cellulose nanocrystal (GO@CNC) nanoparticles (NPs) were synthesized in this study using a room temperature-based simple modified hummers process. The morphological structures, as well as chemical characteristics of these materials, were characterized using transmission electron microscopy (TEM), X-ray diffraction (XRD), and other techniques. The results show that the as-prepared nanoparticles are made up of crystallite grains with an average size of around 7.82, 14.69, 10.77, 7.82, and 12.51 nm for GO, CNC, GO1@CNC1, GO2@CNC3, and GO3@CNC3 respectively, and [sbnd]OH & [sbnd]COOH functionalities on the NPs' surfaces. GO@CNC NPs exhibit significantly better sensing characteristics towards acetone when compared to virgin GO nanoplatelets; specifically, the optimal sensor based on GO3@CNC3 NPs showed the highest response (60.88 at 5 ppm), which was higher than that of the virgin GO sensor at 200 °C operating temperature and including those reported. Furthermore, the sensors have a high sensitivity towards acetone in sub-ppm concentrations as well as a detection limit of 5 ppm, making it a viable candidate for diabetes breath testing.
KW - Acetone
KW - Cellulose nanocrystals
KW - Composite
KW - Gas sensor
KW - Graphene oxide
UR - http://www.scopus.com/inward/record.url?scp=85153589801&partnerID=8YFLogxK
U2 - 10.1016/j.ijbiomac.2023.124514
DO - 10.1016/j.ijbiomac.2023.124514
M3 - Article
C2 - 37086769
AN - SCOPUS:85153589801
SN - 0141-8130
VL - 241
JO - International Journal of Biological Macromolecules
JF - International Journal of Biological Macromolecules
M1 - 124514
ER -