Detailed Information

Cited 3 time in webofscience Cited 4 time in scopus
Metadata Downloads

Vacuum plasma treatment on carbon nanoparticles for highly sensitive square wave voltammetric sensor of heavy metal ions

Full metadata record
DC Field Value Language
dc.contributor.authorThi Thu Trinh Phan-
dc.contributor.authorTrong Danh Nguyen-
dc.contributor.authorLee, Jun Seop-
dc.date.accessioned2022-11-10T05:40:06Z-
dc.date.available2022-11-10T05:40:06Z-
dc.date.created2022-11-10-
dc.date.issued2022-12-
dc.identifier.issn0379-6779-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85997-
dc.description.abstractHeavy metal ions are dangerous pollutants since they are non-biodegradable and accumulate in ecological systems. The identification of these ions is extremely important in environmental quality monitoring. However, despite the importance of detecting heavy metals, research on sensor electrode materials for sensing them is still insufficient. In the present study, we suggest functional group introduced carbon nanoparticles (CNPs) using a simple vacuum plasma process. Polypyrrole nanoparticles (PPyNPs) are used as carbon precursors to produce CNPs and various functional groups are introduced following exposure with different gases (NH3, C4F8, and O2) during the vacuum plasma process. Plasma-treated CNPs show fast charge transfer and high sensitivity to the heavy metal ions (Pb2+ and Cu2+). Particularly, O2 gas-treated CNPs (O-CNPs) possess an excellent sensing ability as compared to the other treated CNPs. Under optimized conditions, O-CNPs show a limit of detection (LOD) of 0.005 μM for Pb2+ and 0.01 μM for Cu2+. O-CNPs also show a linearity for the detection signal of metal ions over a wide concentration range (0.01–100 μM for Pb2+ and 0.1–100 μM for Cu2+). © 2022 Elsevier B.V.-
dc.language영어-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE SA-
dc.relation.isPartOfSynthetic Metals-
dc.titleVacuum plasma treatment on carbon nanoparticles for highly sensitive square wave voltammetric sensor of heavy metal ions-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000882061600003-
dc.identifier.doi10.1016/j.synthmet.2022.117203-
dc.identifier.bibliographicCitationSynthetic Metals, v.291-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85140438421-
dc.citation.titleSynthetic Metals-
dc.citation.volume291-
dc.contributor.affiliatedAuthorThi Thu Trinh Phan-
dc.contributor.affiliatedAuthorTrong Danh Nguyen-
dc.contributor.affiliatedAuthorLee, Jun Seop-
dc.type.docTypeArticle-
dc.subject.keywordAuthorCarbon nanoparticles-
dc.subject.keywordAuthorElectrochemical sensor-
dc.subject.keywordAuthorElements doping-
dc.subject.keywordAuthorHeavy metal ion detection-
dc.subject.keywordPlusELECTROCHEMICAL SENSOR-
dc.subject.keywordPlusLEAD IONS-
dc.subject.keywordPlusGRAPHENE-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusWATER-
dc.subject.keywordPlusNANOCOMPOSITE-
dc.subject.keywordPlusFLUORESCENCE-
dc.subject.keywordPlusGRAPHITE-
dc.subject.keywordPlusREMOVAL-
dc.subject.keywordPlusDEVICES-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalResearchAreaPolymer Science-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.relation.journalWebOfScienceCategoryPolymer Science-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > 신소재공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Jun Seop photo

Lee, Jun Seop
Engineering (Department of Materials Science & Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE