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A digital image-based micro-flow-batch analyzer
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DOI：10.1016/j.microc.2012.07.010.png)
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Abstract
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This paper introduces for the first time the combination of digital images taken with a webcam and a micro-flow-batch analyzer as a novel strategy for implementing quantitative chemical analysis. The digital image-based micro-flow-batch analyzer (DIB-mu FBA) was formed using urethane-aaylate 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-mu FBA 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-mu FBA control software. The paired t test, at a 95% confidence level, showed no statistically significant differences between results obtained by DIB-mu FBA 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. (C) 2012 Elsevier B.V. All rights reserved.
Keywords:
Micro-flow-batch analyzer
Urethane-acrylate resin
Digital images
RGB color model
Tannins
Green tea
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