A novel reversible fluorescent probe for the highly sensitive detection of nitro and peroxide organic explosives using electrospun BaWO4 nanofibers
Abstract
Fabrication of highly stable, reversible, and efficient portable sensors for the detection of explosives for safety and security is challenging due to the robustness of the currently available detection tools, limiting their mass deployment to the explosion prone areas. This paper reports a new direction towards the sensing of nitro- and peroxide-based explosives using highly stable rare-earth-doped BaWO4 nanofibers with remarkable sensitivity and reversibility. Here, BaWO4 nanofibers doped with Tb3+ and Eu3+ ions are fabricated through a sol–gel electrospinning process, and their emission characteristics and application as a fluorescent probe for the sensing of 2-nitrotoluene and H2O2, explosive taggants representing a broad class of explosives, are studied in detail. Scheelite structured BaWO4 nanofibers exhibit excellent luminescence characteristics, and the rare-earth ion doping in the polycrystalline BaWO4 nanofibers is tailored to achieve blue, green, red, and white light emissions. These nanofibers are extremely sensitive to 2-nitrotoluene and H2O2 with rapid response time, and sensitivity is observed within the range of 1–400 ppb and 1–10 ppm, towards 2-nitrotoluene and H2O2, respectively. The fluorescence quenching of BaWO4 nanofibers in the presence of 2-nitrotoluene and H2O2 is exponential with the quenching constants up to 1.73 × 106 and 2.73 × 104 L mol–1, respectively,more »
- Authors:
-
- Fayetteville State Univ., Fayetteville, NC (United States)
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division; USDOD; US Army Research Office (ARO); National Science Foundation (NSF)
- OSTI Identifier:
- 1767124
- Grant/Contract Number:
- AC02-06CH11357; W911NF1810469; W911NF-14-1-0060; W911NF-15-1-0566; W911NF-09-1-0011; DMR 1626376
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Materials Chemistry C
- Additional Journal Information:
- Journal Volume: 7; Journal Issue: 47; Journal ID: ISSN 2050-7526
- Publisher:
- Royal Society of Chemistry
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
Citation Formats
George, Gibin, Edwards, Caressia S., Hayes, Jacob I., Yu, Lei, Ede, Sivasankara Rao, Wen, Jianguo, and Luo, Zhiping. A novel reversible fluorescent probe for the highly sensitive detection of nitro and peroxide organic explosives using electrospun BaWO4 nanofibers. United States: N. p., 2019.
Web. doi:10.1039/c9tc05068j.
George, Gibin, Edwards, Caressia S., Hayes, Jacob I., Yu, Lei, Ede, Sivasankara Rao, Wen, Jianguo, & Luo, Zhiping. A novel reversible fluorescent probe for the highly sensitive detection of nitro and peroxide organic explosives using electrospun BaWO4 nanofibers. United States. https://doi.org/10.1039/c9tc05068j
George, Gibin, Edwards, Caressia S., Hayes, Jacob I., Yu, Lei, Ede, Sivasankara Rao, Wen, Jianguo, and Luo, Zhiping. Wed .
"A novel reversible fluorescent probe for the highly sensitive detection of nitro and peroxide organic explosives using electrospun BaWO4 nanofibers". United States. https://doi.org/10.1039/c9tc05068j. https://www.osti.gov/servlets/purl/1767124.
@article{osti_1767124,
title = {A novel reversible fluorescent probe for the highly sensitive detection of nitro and peroxide organic explosives using electrospun BaWO4 nanofibers},
author = {George, Gibin and Edwards, Caressia S. and Hayes, Jacob I. and Yu, Lei and Ede, Sivasankara Rao and Wen, Jianguo and Luo, Zhiping},
abstractNote = {Fabrication of highly stable, reversible, and efficient portable sensors for the detection of explosives for safety and security is challenging due to the robustness of the currently available detection tools, limiting their mass deployment to the explosion prone areas. This paper reports a new direction towards the sensing of nitro- and peroxide-based explosives using highly stable rare-earth-doped BaWO4 nanofibers with remarkable sensitivity and reversibility. Here, BaWO4 nanofibers doped with Tb3+ and Eu3+ ions are fabricated through a sol–gel electrospinning process, and their emission characteristics and application as a fluorescent probe for the sensing of 2-nitrotoluene and H2O2, explosive taggants representing a broad class of explosives, are studied in detail. Scheelite structured BaWO4 nanofibers exhibit excellent luminescence characteristics, and the rare-earth ion doping in the polycrystalline BaWO4 nanofibers is tailored to achieve blue, green, red, and white light emissions. These nanofibers are extremely sensitive to 2-nitrotoluene and H2O2 with rapid response time, and sensitivity is observed within the range of 1–400 ppb and 1–10 ppm, towards 2-nitrotoluene and H2O2, respectively. The fluorescence quenching of BaWO4 nanofibers in the presence of 2-nitrotoluene and H2O2 is exponential with the quenching constants up to 1.73 × 106 and 2.73 × 104 L mol–1, respectively, which are significantly higher than those of most of the fluorescent probes based on metal–organic frameworks and conjugated organic materials. After exposing to 2-nitrotoluene, the luminescence of the nanofibers is retained completely upon heating at 120 °C for 10 min and the sensory response is retained as fresh nanofibers, and currently available fluorescent explosive sensors could not achieve such a recovery. The high sensitivity and selectivity of scalable rare-earth-doped BaWO4 nanofibers provide a new platform for the simultaneous detection of two classes of explosives.},
doi = {10.1039/c9tc05068j},
journal = {Journal of Materials Chemistry C},
number = 47,
volume = 7,
place = {United States},
year = {Wed Oct 30 00:00:00 EDT 2019},
month = {Wed Oct 30 00:00:00 EDT 2019}
}
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Highly Selective Detection of Nitro Explosives by a Luminescent Metal-Organic Framework
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