Enhancement of fiber-SPR sensor utilizing graphene oxide
A graphene oxide layer deposited on top of a thin gold film of a fiber optic surface plasmon resonance sensor is investigated. Comparison is made on the sensing performance of modified sensor and a standard gold coated fiber optic surface plasmon resonance sensor. The graphene oxide coated sensor sh...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2013
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/68228/1/Enhancement%20of%20fiber-SPR%20sensor%20utilizing%20graphene%20oxide.pdf http://psasir.upm.edu.my/id/eprint/68228/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.upm.eprints.68228 |
|---|---|
| record_format |
eprints |
| spelling |
my.upm.eprints.682282019-05-10T08:25:25Z http://psasir.upm.edu.my/id/eprint/68228/ Enhancement of fiber-SPR sensor utilizing graphene oxide M. Thirunavakkarasu, Punithavathi Shabaneh, Arafat Abdallah Abdelwadod Girei, Saad Hayatu Yaacob, Mohd Hanif Muhammad Noor, Ahmad Shukri A graphene oxide layer deposited on top of a thin gold film of a fiber optic surface plasmon resonance sensor is investigated. Comparison is made on the sensing performance of modified sensor and a standard gold coated fiber optic surface plasmon resonance sensor. The graphene oxide coated sensor shows high sensitivity of approximately 400 nm/RIU to surrounding refractive index when tested with different liquids. IEEE 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68228/1/Enhancement%20of%20fiber-SPR%20sensor%20utilizing%20graphene%20oxide.pdf M. Thirunavakkarasu, Punithavathi and Shabaneh, Arafat Abdallah Abdelwadod and Girei, Saad Hayatu and Yaacob, Mohd Hanif and Muhammad Noor, Ahmad Shukri (2013) Enhancement of fiber-SPR sensor utilizing graphene oxide. In: 4th International Conference on Photonics (ICP2013), 28-30 Oct. 2013, Equatorial Hotel Melaka, Malaysia. (pp. 148-149). 10.1109/ICP.2013.6687096 |
| institution |
Universiti Putra Malaysia |
| building |
UPM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Putra Malaysia |
| content_source |
UPM Institutional Repository |
| url_provider |
http://psasir.upm.edu.my/ |
| language |
English |
| description |
A graphene oxide layer deposited on top of a thin gold film of a fiber optic surface plasmon resonance sensor is investigated. Comparison is made on the sensing performance of modified sensor and a standard gold coated fiber optic surface plasmon resonance sensor. The graphene oxide coated sensor shows high sensitivity of approximately 400 nm/RIU to surrounding refractive index when tested with different liquids. |
| format |
Conference or Workshop Item |
| author |
M. Thirunavakkarasu, Punithavathi Shabaneh, Arafat Abdallah Abdelwadod Girei, Saad Hayatu Yaacob, Mohd Hanif Muhammad Noor, Ahmad Shukri |
| spellingShingle |
M. Thirunavakkarasu, Punithavathi Shabaneh, Arafat Abdallah Abdelwadod Girei, Saad Hayatu Yaacob, Mohd Hanif Muhammad Noor, Ahmad Shukri Enhancement of fiber-SPR sensor utilizing graphene oxide |
| author_facet |
M. Thirunavakkarasu, Punithavathi Shabaneh, Arafat Abdallah Abdelwadod Girei, Saad Hayatu Yaacob, Mohd Hanif Muhammad Noor, Ahmad Shukri |
| author_sort |
M. Thirunavakkarasu, Punithavathi |
| title |
Enhancement of fiber-SPR sensor utilizing graphene oxide |
| title_short |
Enhancement of fiber-SPR sensor utilizing graphene oxide |
| title_full |
Enhancement of fiber-SPR sensor utilizing graphene oxide |
| title_fullStr |
Enhancement of fiber-SPR sensor utilizing graphene oxide |
| title_full_unstemmed |
Enhancement of fiber-SPR sensor utilizing graphene oxide |
| title_sort |
enhancement of fiber-spr sensor utilizing graphene oxide |
| publisher |
IEEE |
| publishDate |
2013 |
| url |
http://psasir.upm.edu.my/id/eprint/68228/1/Enhancement%20of%20fiber-SPR%20sensor%20utilizing%20graphene%20oxide.pdf http://psasir.upm.edu.my/id/eprint/68228/ |
| _version_ |
1643839138939535360 |
| score |
13.160551 |