A digital image-based flow-batch analyzer for determining Al(III) and Cr(VI) in water

Andrade, Stéfani Iury E.; Lima, Marcelo B.; Barreto, Inakã S.; Lyra, Wellington da Silva; Almeida, Luciano F.; Araújo, Mário César Ugulino de; Silva, Edvan C.

doi:10.1016/j.microc.2012.03.029

Cited by 48 publications

(18 citation statements)

References 21 publications

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“…The glass slides were used as sealant layers on both sides of the substrate and provided the necessary transparency to conduct studies using digital images. When compared to the conventional flow-batch system previously developed in acrylic [20], DIB-μFBA presents better chemical solvent resistance [35] and smaller volume of the mixing chamber (about 8 times smaller). As a consequence, the analysis may be carried out with less: consumption of reagents and sample, cost and chemical waste.…”

Section: Resultsmentioning

confidence: 93%

“…Other linear relationships between the complex color and the ratios B/R, B/G, B/I tot (I tot = RGB), and log(B) were also studied to possibly maximize precision, as already done in other papers [8,20]. However, in all cases the results were poor when compared to using a vector norm for concentration of the complex formed.…”

Section: The Captured Digital Images and Mathematical Modelmentioning

confidence: 99%

“…Recently, Andrade et al [20] developed a digital image-based flow-batch analyzer. This work, a mixing chamber, built in acrylic (volume 800 μL), was used in the determination of aluminum(III) and chromium(VI) in natural waters.…”

Section: Introductionmentioning

confidence: 99%

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A digital image-based micro-flow-batch analyzer

Lima

Andrade

Barreto

et al. 2013

Microchemical Journal

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This paper introduces for the first time the combination of digital images taken with a webcam and a microflow-batch analyzer as a novel strategy for implementing quantitative chemical analysis. The digital imagebased micro-flow-batch analyzer (DIB-μFBA) was formed using urethane-acrylate resin, glass slides and ultraviolet lithography. The glass slides were used as sealant layers on both sides of the substrate urethane-acrylate and provide the necessary transparency to the microsystem to conduct studies using digital images. DIB-μFBA uses digital images obtained from a webcam with CCD sensor, based on the RGB (red-green-blue) color model. The analyzer was used for determining the tannins in green tea employing the well-known ferrous tartrate method. All standard solutions were prepared in-line, and all analytical processes were completed by simply changing the operational parameters in DIB-μFBA control software. The paired t test, at a 95% confidence level, showed no statistically significant differences between results obtained by DIB-μFBA and the spectrophotometric reference method. The proposed microsystem presented satisfactory physical and chemical properties while keeping the flexibility, versatility, robustness and multi-task characteristics of conventional flow-batch analysis. Therefore, it was possible to build a low-cost device with high sample throughput (about 190 h −1 ) and reduced reagent consumption (about 300 times less than the reference method), contributing to the basic principles of green chemistry and the advancement of micro-analytical procedures.

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Section: Resultsmentioning

confidence: 93%

Section: The Captured Digital Images and Mathematical Modelmentioning

confidence: 99%

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A digital image-based micro-flow-batch analyzer

Lima

Andrade

Barreto

et al. 2013

Microchemical Journal

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“…The FCFM have already found applications for the automation of analysis of aqueous samples [110][111][112], biological fluids [113], pharmaceuticals [114], biofuels [115,116] and other samples ( Table 2) Thus, the liquid-liquid extraction of analytes can be realized directly in the MCh for the pre-concentration [117]. In this case, the effective mixing of the aqueous and organic phases, as well as the phases separation, are carried out in the glass MCh.…”

Section: Recent Development and Applicationmentioning

confidence: 99%

Flow Analysis: A Novel Approach For Classification

Vakh

Falkova

Timofeeva

et al. 2016

Critical Reviews in Analytical Chemistry

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“…The various types of digital cameras for colour imaging include digital single-lens reflex (DSLR) cameras [18][19][20]28], digital compact cameras [26,27,29], built-in cameras in mobile phones [21,22], and webcams [30][31][32][33][34][35]. The use of such cameras as colourimetric detectors lowers the cost of quantitative analysis by avoiding the costs of an expensive spectrophotometer, and webcams in particular are inexpensive and readily accessible.…”

Section: Introductionmentioning

confidence: 99%