Liquid Cladding Mediated Optical Fiber Sensors for Copper Ion Detection
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Vien Thi Tran | - |
dc.contributor.author | Nhu Hoa Thi Tran | - |
dc.contributor.author | Than Thi Nguyen | - |
dc.contributor.author | Yoon, Won Jung | - |
dc.contributor.author | Ju, Heongkyu | - |
dc.date.available | 2020-02-27T09:41:57Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2018-09 | - |
dc.identifier.issn | 2072-666X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/3400 | - |
dc.description.abstract | We present a label-free optical fiber based sensor device to detect copper ions (Cu2+) in water. A multimode optical fiber, with its polymer cladding removed along a 1-cm length, is used for the optical sensor head, where the injected Cu2+ in the liquid phase acts as a liquid cladding for the optical mode. The various Cu2+ concentrations modulate the numerical aperture (NA) of the liquid cladding waveguide part. The degree of NA mismatch between the liquid cladding and solid cladding guided parts gives rise to an optical power transmittance change, forming the sensing principle. The presented liquid cladding fiber sensor exhibits a minimum resolvable refractive index of 2.48 x 10(-6). For Cu2+ detection, we functionalize the sensor head surface (fiber core) using chitosan conjugated ethylenediaminetetraacetic acid (EDTA) which captures Cu2+ effectively due to the enhanced chelating effects. We obtain a limit of detection of Cu2+ of 1.62 nM (104 ppt), which is significantly lower than the tolerable level in drinking water (similar to 30 mu M), and achieve a dynamic range of 1 mM. The simple structure of the sensor head and the sensing system ensures the potential capability of being miniaturized. This may allow for in-situ, highly-sensitive, heavy metal sensors in a compact format. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.relation.isPartOf | MICROMACHINES | - |
dc.subject | SURFACE-PLASMON RESONANCE | - |
dc.subject | SELECTIVE DETECTION | - |
dc.subject | DIETARY COPPER | - |
dc.subject | QUANTUM DOTS | - |
dc.subject | DISEASE | - |
dc.subject | WATER | - |
dc.subject | NANOPARTICLES | - |
dc.subject | IMMUNOASSAY | - |
dc.subject | FIBRINOGEN | - |
dc.subject | DIAGNOSIS | - |
dc.title | Liquid Cladding Mediated Optical Fiber Sensors for Copper Ion Detection | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000448399300053 | - |
dc.identifier.doi | 10.3390/mi9090471 | - |
dc.identifier.bibliographicCitation | MICROMACHINES, v.9, no.9 | - |
dc.identifier.scopusid | 2-s2.0-85066816516 | - |
dc.citation.title | MICROMACHINES | - |
dc.citation.volume | 9 | - |
dc.citation.number | 9 | - |
dc.contributor.affiliatedAuthor | Vien Thi Tran | - |
dc.contributor.affiliatedAuthor | Nhu Hoa Thi Tran | - |
dc.contributor.affiliatedAuthor | Than Thi Nguyen | - |
dc.contributor.affiliatedAuthor | Yoon, Won Jung | - |
dc.contributor.affiliatedAuthor | Ju, Heongkyu | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | heavy metal detection | - |
dc.subject.keywordAuthor | fiber sensor | - |
dc.subject.keywordAuthor | liquid cladding | - |
dc.subject.keywordAuthor | surface chemistry | - |
dc.subject.keywordAuthor | waveguide numerical aperture | - |
dc.subject.keywordPlus | SURFACE-PLASMON RESONANCE | - |
dc.subject.keywordPlus | SELECTIVE DETECTION | - |
dc.subject.keywordPlus | DIETARY COPPER | - |
dc.subject.keywordPlus | QUANTUM DOTS | - |
dc.subject.keywordPlus | DISEASE | - |
dc.subject.keywordPlus | WATER | - |
dc.subject.keywordPlus | NANOPARTICLES | - |
dc.subject.keywordPlus | IMMUNOASSAY | - |
dc.subject.keywordPlus | FIBRINOGEN | - |
dc.subject.keywordPlus | DIAGNOSIS | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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