Digital image-based flame emission spectrometry

被引：71

作者：

Lyra, Wellington Silva ^{[1
]}

dos Santos, Vagner Bezerra ^{[1
]}

Gama Dionizio, Amalia Geiza ^{[1
]}

Martins, Valdomiro Lacerda ^{[1
]}

Almeida, Luciano Farias ^{[1
]}

Gaiao, Edvaldo Nobrega ^{[1
]}

Goncalves Dias Diniz, Paulo Henrique ^{[1
]}

Silva, Edvan Cirino ^{[1
]}

Ugulino Araujo, Mario Cesar ^{[1
]}

机构：

[1] Univ Fed Paraiba, Dept Quim, CCEN, BR-58051970 Joao Pessoa, Paraiba, Brazil

来源：

TALANTA | 2009年 / 77卷 / 05期

关键词：

Digital image; Red-green-blue colour system; Flame emission spectrometry; Alkaline metal determination; Pharmaceutical formulations; Water analysis;

D O I：

10.1016/j.talanta.2008.09.057

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A digital image-based flame emission spectrometric (DIB-FES) method for the quantitative chemical analysis is proposed here for the first time. The DIB-FES method employs a webcam to capture the digital images which are associated to a radiation emitted by the analyte into an air-butane flame. Since the detection by webcam is based on the RGB (red-green-blue) colour system. a novel mathematical model was developed in order to build DIB-FES analytical Curves and estimate figures of merit for the proposed method. In this approach, each image is retrieved in the three R, G and B individual components and their values were used to define a position vector in RGB three-dimensional space. The norm of this vector is then adopted as the RGB-based value (analytical response) and it has revealed to be linearly related to the analyte concentration. The feasibility of the DIB-FES method is illustrated in three applications involving the determination of lithium, sodium and calcium in anti-depressive drug, physiological serum and water, respectively. In comparison with the traditional flame emission spectrometry (trad-FES), no statistic difference has been observed between the results by applying the paired t-test at the 95% confidence level, However, the DIB-FES method has offered the largest sensitivities and precision, as well as the smallest limits of detection and quantification for the three analytes. These advantageous characteristics are attributed to the trivariate nature of the detection by webcam. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：1584 / 1589

页数：6