Evaluation of Dye Adsorption Onto SBA-15 Using Image Analysis

In this work, the reliability of image analysis for the numerical evaluation of Basic Red 46 (BR 46) dye adsorption process was studied. The image analysis was carried out on dye adsorbed onto SBA‐15 mesoporous silica, by use of Image‐Pro Plus software. Pixel‐specific calibration curves were derived...

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Bibliographic Details
Published in:	Clean : soil, air, water Vol. 44; no. 10; pp. 1323 - 1328
Main Authors:	Nesic, Aleksandra R., Kokunesoski, Maja J., Meseldzija, Sladjana S., Volkov-Husovic, Tatjana D., Velickovic, Sava J., Onjia, Antonije E.
Format:	Journal Article
Language:	English
Published:	Weinheim Blackwell Publishing Ltd 01-10-2016 Wiley Subscription Services, Inc
Subjects:	Adsorption Color intensity Imaging Mesoporous materials Wastewater treatment
Online Access:	Get full text
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Summary:	In this work, the reliability of image analysis for the numerical evaluation of Basic Red 46 (BR 46) dye adsorption process was studied. The image analysis was carried out on dye adsorbed onto SBA‐15 mesoporous silica, by use of Image‐Pro Plus software. Pixel‐specific calibration curves were derived and used to obtain dye concentration from the three different primary color channels (red, green, and blue) recorded at each pixel. In order to establish credibility of this method for quantification of adsorption processes, these data were compared with dye adsorption parameters obtained by UV‐vis analysis. Among the three different primary color channels, the best results were obtained when the blue color channel was applied. In this case, the average relative error was 0.86%. The obtained results showed that a dye adsorbed on SBA‐15 can be determined with the use of Image‐Pro Plus with the same sensitivity as with the use of spectrophotometric analysis for the determination of changes in dye concentration during the adsorption process. Image analysis is applied to quantify dye sorption onto SBA‐15 mesoporous silica. Three different color channels for estimation of dye concentration are investigated. The best results are obtained by use of the blue channel, with R2 = 0.86%. The image analysis method showed the same sensitivity in the prediction of dye sorption parameters as UV–vis spectrophotometry.
Bibliography:	III-43009 and III-45012 Ministry of Education ark:/67375/WNG-GX5GNJNQ-C istex:76A8271AB27946F5E5F979E07AF826C6D3212D8D ArticleID:CLEN201500565 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1863-0650 1863-0669
DOI:	10.1002/clen.201500565