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Real-time monitoring using visible spectrophotometry as a tool for probing electrochemical advanced oxidation processes for dye decolorisation. | LitMetric

AI Article Synopsis

  • A real-time monitoring apparatus using UV-visible spectrophotometry was employed to optimize the process of electrochemically-activated persulfate for decolorizing Acid Orange 7.
  • The study examined factors like electrode composition, current density, persulfate loading, and stirring speed, and compared the effectiveness of this method with anodic oxidation across nine different dyes.
  • It was found that dye structure and functional groups greatly influenced decolorization rates, with azo and xanthene dyes decolorizing faster than triarylmethane dyes, and that electrochemically-activated persulfate generally outperformed anodic oxidation, especially for electron-deficient substrates.

Article Abstract

An apparatus for real-time monitoring of electrochemical processes using UV-visible spectrophotometry has been used to optimise the electrochemically-activated persulfate decolorisation of Acid Orange 7. The impacts of varying electrode composition, current density, persulfate loading, and stirring speed on the rate of decolorisation have been probed. Decolorisation through this activated persulfate approach was compared to that using anodic oxidation for nine dyes; three from each of the azo, triarylmethane, and xanthene families. The core structure and presence of functional groups have a significant impact on the rate of decolorisation. Azo and xanthene dyes decolorise faster than triarylmethane dyes, while electron-withdrawing groups and halogens are especially detrimental to the rate of decolorisation. Electrochemically-activated persulfate resulted in faster decolorization than anodic oxidation for almost every dye, an effect that was enhanced with the electron-deficient substrates. This type of systematic structural comparison study is essential for designing electrochemical degradation procedures for the remediation of real wastewater.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652061PMC
http://dx.doi.org/10.1039/d3ra06634gDOI Listing

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