Effect of Silicon Nitride Coating Thickness on Silicon Wafer Substrates for Signal Enhancement in Laser-Induced Breakdown Spectroscopic Analysis of Liquids

dc.contributor.author Kaplan, Dilara
dc.contributor.author Yalçın, Şerife Hanım
dc.date.accessioned 2022-08-15T06:53:00Z
dc.date.available 2022-08-15T06:53:00Z
dc.date.issued 2022
dc.description The authors acknowledge research grant 119F068 from TUBITAK en_US
dc.description.abstract It has been shown by previous studies of our group that the use of nitride-coated silicon wafer surfaces as a sample loading substrate in dried-droplet LIBS analysis provided enhancement in plasma emission signal and better detection limits compared to uncoated or oxide-coated silicon wafer surfaces. To further investigate the effect of coating thickness for enhanced sensitivity in dried nano-droplet analysis of liquids, silicon-wafer substrates of different nitride coating thicknesses; 75, 300, 450, and 1000 nm, were comparatively studied. With 75 nm silicon nitride coating, the thin-film effect due to the anti-reflective behavior of the silicon nitride film is observed, and plasma emission signal is enhanced up to three times compared to 300 nm coated substrates. With coating thicknesses of 450 nm and 1000 nm, on the other hand, thermophysical and mechanical properties of the silicon nitride material, like thermal conductivity and hardness, become more dominant factors, leading to higher emission signals for all the elements studied. With 1000 nm coating thickness, enhancement factors of 4.8, 6.4, and 3.7 were obtained for the elements of Pb, Cu, and Cr, respectively. Optimization of the experimental LIBS parameters was conducted, calibration curves were constructed, and analytical figures of merits were determined. Sub-picogram amounts absolute detection limits; 0.7 pg Pb, 0.6 pg Cr, and 0.4 pg Cu, in 500 nanoliter droplets were obtained from the slopes of the calibration curves. The nitride-coated substrates' analytical performance was tested using certified reference solutions, standard water, and real water samples. The materials and the methodology developed can be used for waste-water monitoring of environmental samples by LIBS. en_US
dc.identifier.doi 10.1016/j.sab.2022.106472
dc.identifier.issn 0584-8547
dc.identifier.issn 0584-8547 en_US
dc.identifier.scopus 2-s2.0-85132533358
dc.identifier.uri https://doi.org/10.1016/j.sab.2022.106472
dc.identifier.uri https://hdl.handle.net/11147/12317
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Spectrochimica Acta, Part B: Atomic Spectroscopy en_US
dc.rights info:eu-repo/semantics/embargoedAccess en_US
dc.subject Dried droplet analysis en_US
dc.subject Thermal conductivity en_US
dc.subject Silicon nitride en_US
dc.subject Laser-induced breakdown spectroscopy en_US
dc.title Effect of Silicon Nitride Coating Thickness on Silicon Wafer Substrates for Signal Enhancement in Laser-Induced Breakdown Spectroscopic Analysis of Liquids en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0002-4243-5366
gdc.author.id 0000-0002-4243-5366 en_US
gdc.author.institutional Kaplan, Dilara
gdc.author.institutional Yalçın, Şerife Hanım
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access embargoed access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.description.department İzmir Institute of Technology. Chemistry en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.volume 194 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W4282968995
gdc.identifier.wos WOS:000834159500007
gdc.index.type WoS
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gdc.oaire.isgreen true
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gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0104 chemical sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 2.25841828
gdc.openalex.normalizedpercentile 0.83
gdc.openalex.toppercent TOP 1%
gdc.opencitations.count 7
gdc.plumx.crossrefcites 12
gdc.plumx.mendeley 10
gdc.plumx.scopuscites 15
gdc.scopus.citedcount 15
gdc.wos.citedcount 13
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