H2O2 Determination by the I3- Method and by KMnO4 Titration

Analytical Chemistry (Impact Factor: 5.64). 09/1994; 66(18). DOI: 10.1021/ac00090a020


The analysis of aqueous H2O2 at concentrations as low as 1 mu M is conveniently done by the I-3(-) method, which is based on the spectrophotometric determination of I-3(-) formed when H2O2 is added to a concentrated solution of I-. At 351 nm, epsilon(max) (I-3(-)) was measured to be 26 450 M(-1) cm(-1). By contrast, an apparent value of 25 800 M(-1) cm(-1) was determined from a calibration of the I-3(-) method against titration by permanganate. The difference could only be partially accounted for by the equilibrium between I-3(-), I-2, and I-. A further correction of similar to 1% was required and was traced to a side reaction between H2O2 and the buffer normally used in the I-3(-) method. A simple spectrophotometric procedure was developed which improves the sensitivity of the permanganate titration to 0.3 mu M H2O2. Measurements of H2O2 using the oxidation of ferrous ions (Fricke solution) and permanganate titration differed by less than 1%.

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    • "The rapid, accurate and reliable detection of hydrogen peroxide is of great significance in many fields such as clinical treatment [2], food and environment safety [3], chemical reactions [4], and pharmaceutical applications [5]. In the past few decades, many analytical methods for H 2 O 2 detection have been developed including spectrometry [6], titration [7], fluorescence [8], chemiluminescence [9], and chromatographic techniques [10]. However, these methods are usually expensive, time-consuming, and require professional personnel, which make them less favorable for rapid and cost-effective detection of H 2 O 2 . "
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    Sensors and Actuators B Chemical 03/2015; 208. DOI:10.1016/j.snb.2014.11.051 · 4.10 Impact Factor
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    ABSTRACT: In this paper, three approaches including physical adsorption, in situ reduction, and one pot synthesis were developed to fabricate cuprous oxide–reduced graphene oxide (Cu2O–rGO) nanocomposites. These nanocomposites were characterized by XRD, SEM, Raman spectrum and electrochemical methods. The composite with different morphologies and components fabricated from these three methods displayed much enhanced performance for the catalytic reduction of H2O2 than the single component Cu2O. Among these Cu2O–rGO nanocomposites, the product prepared through the simple physical adsorption approach (i.e. Cu2O–rGOpa) showed a slightly better performance than the other two composites. A wider linear range (0.03–12.8 mM), higher sensitivity (19.5 μA/mM) and better stability were achieved on the Cu2O–rGOpa based sensor than Cu2O based sensor for accurate detection of H2O2.
    Electrochimica Acta 01/2013; 88:59–65. DOI:10.1016/j.electacta.2012.10.070 · 4.50 Impact Factor
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    • "All spectrophotometric measurements (e.g., UV 254 , [H 2 O 2 ]) were carried out using a UVeVis spectrophotometer (Shimadzu UV-Mini 1240) with a cell path length of 1 cm. The concentration of H 2 O 2 was measured (detection limit of 1 mM of H 2 O 2 ) using the triiodide method (Klassen et al., 1994). The portion of NOM that absorbs UV at 254 nm was defined as chromophoric NOM (CNOM) (Sarathy et al., 2011). "
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    ABSTRACT: The presence of natural organic matter (NOM) poses several challenges to the commercial practice of UV/H(2)O(2) process for micropollutant removal. During the commercial application of UV/H(2)O(2) advanced oxidation treatment, NOM is broken down into smaller species potentially affecting biostability by increasing Assimilable Organic Carbon (AOC) and Biodegradable Organic Carbon (BDOC) of water. This work investigated the potential impact of UV/H(2)O(2) treatment on the molecular weight distribution of NOM and biostability of different water sources. A recently developed flow cytometric method for enumeration of bacteria was utilized to assess biological stability of the treated water at various stages through measurement of AOC. BDOC was also assessed for comparison and to better study the biostability of water. Both AOC and BDOC increased by about 3-4 times over the course of treatment, indicating the reduction of biological stability. Initial TOC and the source of NOM were found to be influencing the biostability profile of the treated water. Using high performance size exclusion chromatography, a wide range of organic molecule weights were found responsible for AOC increase; however, low molecular weight organics seemed to contribute more. Positive and meaningful correlations were observed between BDOC and AOC of different waters that underwent different treatments.
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