An advanced hand-held microfiber-based sensor for ultrasensitive lead ion detection
This study demonstrated a l-glutathione-modified nonadiabatic microfiber sensor to detect a trace level of heavy metal ions in aqueous solution. The sensor showed an exclusively selective response to Pb2+ among other metal ions and a measured detection limit of 5 μg/L, lower than the maximum allowab...
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sg-ntu-dr.10356-1392712020-05-18T07:50:03Z An advanced hand-held microfiber-based sensor for ultrasensitive lead ion detection Yap, Stephanie Hui Kit Chien, Yi-Hsin Tan, Rex Abdul Rahman Shaik Alauddin Ji, Wen Bin Tjin, Swee Chuan Yong, Ken-Tye School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Microfiber Heavy Metal Ion Sensor This study demonstrated a l-glutathione-modified nonadiabatic microfiber sensor to detect a trace level of heavy metal ions in aqueous solution. The sensor showed an exclusively selective response to Pb2+ among other metal ions and a measured detection limit of 5 μg/L, lower than the maximum allowable limit of Pb2+ in drinking water by the World Health Organization. Moreover, a novel compact all-fiber-based interrogation scheme was proposed to promote the development of a portable hand-held system for on-site measurement. The presented scheme does not require costly and bulky laboratory equipment but operates based on the reflected optical power of two fiber Bragg gratings (FBG), measured using photodetectors independently. NRF (Natl Research Foundation, S’pore) 2020-05-18T07:50:03Z 2020-05-18T07:50:03Z 2018 Journal Article Yap, S. H. K., Chien, Y.-H., Tan, R., Abdul Rahman Shaik Alauddin, Ji, W. B., Tjin, S. C., & Yong, K.-T. (2018). An advanced hand-held microfiber-based sensor for ultrasensitive lead ion detection. ACS Sensors, 3(12), 2506-2512. doi:10.1021/acssensors.8b01031 2379-3694 https://hdl.handle.net/10356/139271 10.1021/acssensors.8b01031 30421612 2-s2.0-85057016949 12 3 2506 2512 en ACS Sensors © 2018 American Chemical Society. All rights reserved. |
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Engineering::Electrical and electronic engineering Microfiber Heavy Metal Ion Sensor Yap, Stephanie Hui Kit Chien, Yi-Hsin Tan, Rex Abdul Rahman Shaik Alauddin Ji, Wen Bin Tjin, Swee Chuan Yong, Ken-Tye An advanced hand-held microfiber-based sensor for ultrasensitive lead ion detection |
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This study demonstrated a l-glutathione-modified nonadiabatic microfiber sensor to detect a trace level of heavy metal ions in aqueous solution. The sensor showed an exclusively selective response to Pb2+ among other metal ions and a measured detection limit of 5 μg/L, lower than the maximum allowable limit of Pb2+ in drinking water by the World Health Organization. Moreover, a novel compact all-fiber-based interrogation scheme was proposed to promote the development of a portable hand-held system for on-site measurement. The presented scheme does not require costly and bulky laboratory equipment but operates based on the reflected optical power of two fiber Bragg gratings (FBG), measured using photodetectors independently. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Yap, Stephanie Hui Kit Chien, Yi-Hsin Tan, Rex Abdul Rahman Shaik Alauddin Ji, Wen Bin Tjin, Swee Chuan Yong, Ken-Tye |
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Article |
author |
Yap, Stephanie Hui Kit Chien, Yi-Hsin Tan, Rex Abdul Rahman Shaik Alauddin Ji, Wen Bin Tjin, Swee Chuan Yong, Ken-Tye |
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Yap, Stephanie Hui Kit |
title |
An advanced hand-held microfiber-based sensor for ultrasensitive lead ion detection |
title_short |
An advanced hand-held microfiber-based sensor for ultrasensitive lead ion detection |
title_full |
An advanced hand-held microfiber-based sensor for ultrasensitive lead ion detection |
title_fullStr |
An advanced hand-held microfiber-based sensor for ultrasensitive lead ion detection |
title_full_unstemmed |
An advanced hand-held microfiber-based sensor for ultrasensitive lead ion detection |
title_sort |
advanced hand-held microfiber-based sensor for ultrasensitive lead ion detection |
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2020 |
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https://hdl.handle.net/10356/139271 |
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