Skip to main content

Multiple Response Optimization of Laser-Induced Breakdown Spectroscopy Parameters for Multi-element Analysis of Soil Samples

Buy Article:

$29.00 plus tax (Refund Policy)

Abstract:

Laser-induced breakdown spectroscopy (LIBS) is an emerging analytical technique to perform elemental analysis in natural samples independent of their physical state (solid, liquid, or gaseous). Due to its instrumental features, LIBS shows promising potential to perform analysis in situ and in environments at risk. Since the analytical performance of LIBS strongly depends on the choice of experimental conditions, each particular application needs a specific instrumental adjustment. The present study evaluated three LIBS instrumental parameters regarding their influences on signal-to-noise ratio (SNR) of seven elements in soil samples: laser pulse energy, delay time, and integration time gate. A multivariate technique was used due to the significant interaction among the evaluated parameters. Subsequently, to optimize LIBS parameters for each individual element response, a method for multiple response optimization was used. With only one simple screening design, it was possible to obtain a good combination among the studied parameters in order to simultaneously increase the SNR for all analytes. Moreover, the analysis of individual response for elements is helpful to understand their physical behavior in the plasma and also how they are embedded in the sample matrix.

Keywords: DELAY TIME; INTEGRATION TIME GATE; LASER PULSE ENERGY; LASER-INDUCED BREAKDOWN SPECTROSCOPY; LIBS; MULTIVARIATE STUDY; SIGNAL-TO-NOISE RATIO; SNR

Document Type: Research Article

DOI: http://dx.doi.org/10.1366/000370209789379394

Affiliations: 1: Embrapa Agricultural Instrumentation, Rua XV de Novembro, 1452, CEP 13560-970, São Carlos, SP, Brasil 2: Laser Laboratory & Environment, Faculty of Sciences, University of Zaragoza, Cl. Pedro Cerbuna 12, 50009, Zaragoza, Spain

Publication date: September 1, 2009

More about this publication?
sas/sas/2009/00000063/00000009/art00022
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more