2016
DOI: 10.1016/j.talanta.2015.11.031
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Development and validation of a laser-induced breakdown spectroscopic method for ultra-trace determination of Cu, Mn, Cd and Pb metals in aqueous droplets after drying

Abstract: Keywords:Laser-induced breakdown spectroscopy Liquid droplet analysis Oxidized silicon wafer substrate (Si þ SiO 2 ) a b s t r a c tThe present study reports a fast and accurate methodology for laser-induced breakdown spectroscopic, LIBS, analysis of aqueous samples for environmental monitoring purposes. This methodology has two important attributes: one is the use of a 300 nm oxide coated silicon wafer substrate (Siþ SiO 2 ) for the first time for manual injection of 0.5 microliter aqueous metal solutions, an… Show more

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Cited by 35 publications
(8 citation statements)
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“…[10][11][12][13] With the aim to overcome the limitation of LIBS analysis of liquids, different strategies involving the use of sample preparation procedures have been investigated by many authors. Among them, it can be cited the absorption or drying of the sample on a solid matrix, [14][15][16][17][18] the application of solid phase extraction (SPE) procedures, 19,20 or the use of modern microextraction procedures in both Liquid-Liquid Microextraction (LLME) [21][22][23][24] and Solid Phase Microextraction (SPME) 25,26 modalities, among others. In general, the use of these sample preparation procedures prior LIBS detection leads to a substantial improvement in the analytical performance of the method, by decreasing the limits of detection at the low µg L -1 level.…”
Section: Introductionmentioning
confidence: 99%
“…[10][11][12][13] With the aim to overcome the limitation of LIBS analysis of liquids, different strategies involving the use of sample preparation procedures have been investigated by many authors. Among them, it can be cited the absorption or drying of the sample on a solid matrix, [14][15][16][17][18] the application of solid phase extraction (SPE) procedures, 19,20 or the use of modern microextraction procedures in both Liquid-Liquid Microextraction (LLME) [21][22][23][24] and Solid Phase Microextraction (SPME) 25,26 modalities, among others. In general, the use of these sample preparation procedures prior LIBS detection leads to a substantial improvement in the analytical performance of the method, by decreasing the limits of detection at the low µg L -1 level.…”
Section: Introductionmentioning
confidence: 99%
“…For example, some works propose to perform the LIBS measurement directly on the surface of the liquid sample, to generate an aerosol or a liquid jet to increase the performance of the technique [2]. On the other hand, some authors propose to convert the liquid matrix into a solid in order to eliminate many of the issues [5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…Aras and co-workers [5] investigated a method for the detection of ultra-trace of heavy metals in aqueous droplets using LIBS. In their work, they coupled the enhancing effects of SENLIBS, using Ni, Mn-alloy, Zn and Si substrates, with a liquid-liquid extraction to pre-concentrate the analytes before drying sample droplets onto the substrates.…”
Section: Introductionmentioning
confidence: 99%
“…Dried-droplet analysis [21] is another alternative strategy in liquids analysis by LIBS. The methodology consisted of loading, drying and analyzing steps.…”
Section: Introductionmentioning
confidence: 99%
“…For the last few years in our group, we are developing methods and investigating the performance and capabilities of laser-induced breakdown spectroscopy for dried-droplet analysis by using non-metallic substrates. We have previously shown [21] that, 300 nm oxide-coated silicon wafer (Si + SiO 2 ) has an excellent potential to be used as a substrate for dried-droplet analysis. With high energy laser pulses focused on the sample surface, outside the minimum focal point condition, Cu (I) signal at 324.75 nm indicated more than 7 times enhancement in S/N compared to the one obtained at the minimum focus condition experiments.…”
Section: Introductionmentioning
confidence: 99%