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International Journal of Environment Science and Technology
Center for Environment and Energy Research and Studies (CEERS)
ISSN: 1735-1472 EISSN: 1735-2630
Vol. 8, Num. 2, 2011, pp. 381-388

International Journal of Environment Science and Technology, Vol. 8, No. 2, 2011, pp. 381-388

Hydrogen peroxide interference in chemical oxygen demand during ozone based advanced oxidation of anaerobically digested livestock wastewater

1E. Lee; 1H. Lee; 2Y. K. Kim; 3K. Sohn; 1*K. Lee

1Departement of Environmental Engineering and Biotechnology, Myongji University, Yongin, 449-728, Korea
2 Departement of Environmental Engineering, Hankyong National University, Ansung, 456-749, Korea
3HaeSung Engineering, Inc., Suwon, 442-834, Korea
*Corresponding Author Email: kisay@mju.ac.kr Tel.: +8231 3306 689; Fax: +8231 3366 336

Received 19 July 2010; revised 19 January 2011; accepted 21 February 2011

Code Number: st11035

ABSTRACT:

It is known that hydrogen peroxide interferes with chemical oxygen demand analysis by consuming oxidation agents such as potassium dichromate, thus leading to overestimation of the chemical oxygen demand measurements. The objective of the study was to investigate the effects of hydrogen peroxide interference and to determine true chemical oxygen demand values on interpreting treatment performance during ozone-based advanced oxidation of livestock wastewater in which hydrogen peroxide concentration and chemical oxygen demand values are dynamically changing. According to the chemical oxygen demand monitoring data, chemical oxygen demand values were always higher than the initial chemical oxygen demand load when hydrogen peroxide was involved and the treatment performance with ozone alone or ozone/ultraviolet was better than with coupled hydrogen peroxide. The extent of overestimation was proportional to the remaining hydrogen peroxide concentration and the average overestimation ratio in livestock wastewater was in the range of 0.50~0.58 mg per 1 mg of hydrogen peroxide, depending upon the quality of the wastewater treated. True chemical oxygen demand values were estimated by correlating the extent of overestimation with the remaining hydrogen peroxide concentration during treatment. The extent of overestimation decreased to zero gradually as the amount of hydrogen peroxide also approached zero as oxidation proceeded. The corrected chemical oxygen demand values indicated underlying tendency of oxidation, which could not be seen in the original chemical oxygen demand monitoring data. Application of ozone/hydrogen peroxide was more efficient for reducing chemical oxygen demand than ozone alone, as was ozone/hydrogen peroxide/ultraviolet compared to ozone/ultraviolet. When coupled with ozone, ultraviolet irradiation was more efficient than hydrogen peroxide for decreasing chemical oxygen demand during treatment of livestock wastewater.

Keywords: Advanced oxidation; Chemical oxygen demand; Hydrogen peroxide; Livestock wastewater; Ozone

INTRODUCTION

Proper treatment of livestock wastewater is important due to its high strength loads of organic compounds, although the amount is relatively small compared to municipal wastewater and other industrial wastewaters (Juang et al., 2009). Some organic constituents of livestock wastewater are very persistent, often remaining even after a series of biological treatments (Adams et al., 2009). Chemical oxidation process using strong oxidation agents is a good option for removing non-biodegradable organic compounds from biologically-treated effluent (Oeller et al., 1997; Arslan and Balcioglu, 2001; Yasar et al., 2007; Tambosi et al., 2009). As a chemical oxidation agent, ozone (O3) can effectively remove both color and odor from water and gas stream (Barker and Jones, 1988; Sauze et al., 1991; Tosik and Wiktorowski, 2001; Gharbani et al., 2008; Oneby et al., 2010) and it produces less byproducts compared to chlorine-based oxidation (Richardson et al., 1999; Kleiser and Frimmel, 2000; Rakness, 2005). However, ozone alone is less effective for general chemical oxygen demand (COD) removal because its degradation of carbon-carbon covalent bonds is not that high (Hoigne and Bader, 1983; Fronk, 1987; Barker and Jones, 1988; Langlais et al., 1991). Therefore, application of ozone is often coupled with hydrogen peroxide (H2O2) or ultraviolet (UV) irradiation in order to utilize radical oxidation, which ultimately results in increased removal of non-biodegradable COD and color (Legrini et al., 1993; Oeller et al., 1997; Tosik and Wiktorowski, 2001; Gunten, 2003; Samarghandi et al., 2007). COD is a major indicator of the extent of organic compound removal. The most widely used method for COD analysis is the closed reflux, colorimetric method with potassium dichromate (K2Cr2O7) as an oxidation agent, as well described in Standard Methods (APHA et al., 2005). In order to obtain consistent results from person to person, using different equipment and in various lab environments, many people use a pre-formulated commercial reagent mixture for rapid COD analysis.

It is known that some inorganic species including chlorides and nitrites interfere with COD analysis, which consumes potassium dichromate. Significant levels of inorganic species such as ferrous iron, sulfide, and manganese can also cause inaccuracies in the COD analysis. Confusion in interpreting the COD results due to AOHAinterference by certain components can be avoided through the addition of specific reagents (Baumann, 1974; Vaidya, et al., 1997; Domini et al., 2006; APHA et al., 2005). However, if no appropriate prevention measures can be taken, the obtained monitoring results should be corrected by determining the extent of interference.

Hydrogen peroxide is often used in advanced oxidation processes (AOP) alone or together with other agents such as ozone and UV. It is well known that H2O2 interferes with COD analysis by consuming oxidation agents such as K2Cr2O7, thus leading to overestimation of the COD measurements. Talinli and Anderson (1992), Kuo (1992) and Kang et al. (1999) studied the interference of H2O2 on standard COD analysis using synthetic wastewater and proposed correlations for estimating true COD values. Their results were helpful in understanding the cause and extent of H2O2 interference; however, their studies were performed on static clean water or synthetic wastewaters, not on real wastewater. No opinion was offered on how to determine true COD values during advanced oxidation in which the H2O2 concentration and COD values are dynamically changing. The objective of the study was to investigate the effects of H2O2 interference on COD analysis during ozone-based advanced oxidation. First, the extent and cause of H2O2 interference, specifically the extent of overestimation of COD values in livestock wastewater were considered. Secondly, the determination of correct COD values, especially during the oxidation treatment of real livestock wastewater in the presence of ozone, H2O2 and/or UV was intended. The COD removal performances were also compared based upon corrected COD values of four combinations of AOP (O3 alone, O3/H2O2, O3/UV and O3/H2O2/UV) along with the effects of H2O2 interference.

MATERIALS AND METHODS

Livestock wastewater

A sample of fresh livestock wastewater was collected from anaerobic digestion effluent obtained from a local piggery farm in Ansung, Korea, followed by storage at 4 °C to minimize substrate decomposition. Solid-liquid separation for the livestock wastewater was conducted by centrifugation. The obtained supernatant was used in the oxidation experiments after proper dilution. The characteristics of the wastewater are summarized in Table 1.

Advance oxidation experiments

A closed, cylindrical acrylic reactor with a total volume of 1.2 L (height, 43 cm; diameter, 6 cm) was used in the ozone experiments. A water jacket was installed outside of the reactor in order to circulate water and keep the reactor at room temperature (20°C). A porous diffuser placed at the bottom of the reactor transferred ozone gas into aqueous solution, and a 15 W mercury low-pressure ultraviolet lamp (LPUV) was placed vertically in the center of the reactor (Fig. 1) to keep irradiation distance within 4 cm. The reactor was filled with one liter working volume of diluted livestock wastewater. Advanced oxidation was performed with ozone alone and three combinations of oxidation agents (O3/H2O2, O3/UV and O3/H2O2/UV). Ozone was generated from dried pure oxygen using an ozone generator (Ozonetech, Korea), which can produce a maximum of 11.2 g/h of ozone. Ozone gas was fed to the oxidation reactor at the rate of 1.53 g/h. The administered dose of hydrogen peroxide (H2O2, guaranteed reagent grade, Showa Chemical) was in the range of 0~200 mg/L.

Estimation of H2O2 interference on COD analysis

To quantitate H2O2 interference during COD analysis, the extent of COD overestimation was determined along with its correlation with the H2O2 concentration. The livestock wastewater samples containing 100 ~ 800 mg/L of COD were prepared through serial dilution. Different concentrations of H2O2 were added to individual wastewater samples, each having a specific COD value. COD was measured immediately after the addition of H2O2 to the completely-mixed state, followed by comparison with the COD value with no H2O2.

To confirm that H2O2 has the same effect in other solutions, similar experiments were carried out using a solution of potassium hydrogen phthalate (KHP). KHP is often used as a standard analyte for COD analysis; 1 mg of KHP has a theoretical COD value of 1.177 mg (Vaidya et al., 1997; Domini et al., 2006). To make standard solutions for COD analysis, different amounts of KHP (Sigma-Aldrich) were dissolved in distilled water. Various concentrations of H2O2 were then added to the KHP solutions, after which COD was immediately determined. Based on the results of the above experiments, the extent of COD overestimation (ÄCOD) per unit of H2O2 could be determined. During oxidation of livestock wastewater, the true COD values were determined by analyzing the H2O2 concentration and by compensating for the measured ΔCOD values.

Analytical methods

The COD analysis was performed using a single lot of premixed digestion solution containing K2Cr2O7 as an oxidation agent along with other reagents (HACH COD Digestion Kit, Cat. No. 21259-15). The analysis was conducted according to the manufacturer's instructions with HACH DR4000 spectrophotometer (HACH, 2009). The quality of the raw livestock wastewater sample was analyzed according to the Standard Methods (APHA et al., 2005). For color value, the optical density at 400 nm was measured using a UV-Vis spectrophotometer by following the platinum-cobalt standard method. The Indigo method was used in order to monitor the dissolved ozone concentration (Bader and Hoigne, 1981). H2O2 concentration was determined by the DMP (2, 9-dimethyl-1,10-phenanthroline) method (Kosaka et al., 1998).

RESULTS AND DISCUSSION

Effects of H2O2 on livestock wastewater COD values

Fig. 2 shows changes in COD during the oxidation process of livestock wastewater containing 355 mg/L of initial COD using different combinations of oxidation methods. The combination of O3/UV/H2O2 resulted in the highest COD removal rate of 87 % at 2 h O3/UV (o) showed the next highest performance, followed by O3/H2O2 and O3 (·) alone, which were similar.

Some irregularities that were encountered when interpreting the measured COD values are presented in Fig. 2 Specifically, the COD data during the early stage of oxidation (0~10 min) by O3/H2O2 and O3/UV/H2O2 (Š) were about 24~26 mg/L higher than the initial COD load (355 mg/L) in untreated wastewater. This means that COD actually increased during the oxidation treatment instead of decreasing. Furthermore, the order of performances was different than expected; the performance of ozone alone (·) was higher than that of ozone/H2O2 (Ñ) between 0~50 min, whereas the performance of O3/UV (o) was higher than that of O3/UV/H2O2 (Š). Generally, addition of H2O2 during ozone or UV treatment enhances the rate of COD degradation compared to treatment without H2O2, except when the radical scavenging effect of H2O2 is dominant (Gunten, 2003; Rosenfeldt et al., 2006; Tizaoui et al., 2007; Wu et al., 2007; Bandyopadhyay and Chattopadhyay, 2007; El Diwani et al., 2009). Therefore, these abnormal results could be due to interference by H2O2 since overestimation was not observed during treatment with ozone alone or O3/UV.

Error in livestock wastewater COD values due to H2O2

To confirm the existence and extent of H2O2 interference on the COD values, COD analysis was performed using different concentrations of H2O2. Fig. 3 shows that the existence of H2O2 always led to COD overestimation and that the extent was proportional to the H2O2 concentration; for example, 56±5 mg/L of COD for 100 mg/L H2O2 and 26±3 mg/L of COD for 50 mg/L H2O2. The average overestimation ratio in livestock wastewater (ÄCODLWW) was 0.52 mg of COD per mg of H2O2 in the COD range of 0 to 400 mg/L. It should be noted that the COD analysis was performed immediately after H2O2 addition in mixed wastewater samples. The COD values in the presence of H2O2 (vertical axis in Fig. 3) corresponding to zero COD value in the absence of H2O2 (horizontal axis on Fig. 3) represent COD values of standard H2O2 solutions.

Hydrogen peroxide is consumed during COD analysis by the following oxidation reaction with potassium dichromate (Talinli and Anderson, 1992):

K2Cr2O7 + 3H2O2 + 4H2SO4 → K2SO4 + Cr2 (SO4)3 + 7H2O + 3O2 (1)

The theoretical COD value for 1 g of H2O2 based upon Eq (1) is 470.6 mg, which makes the COD overestimation ratio 0.47 mg/L of ΔCOD per mg of H2O2. The ratio (0.52) shown in Fig. 3 is a little higher than the theoretical one. The difference could be due to the premixed COD analysis kit. Several of the HACH mixtures used in this study consistently resulted in COD values that are 9~14 % higher than the theoretical COD values, which were calculated based upon the complete oxidation of potassium hydrogen phthalate (KHP), a standard analyte for COD analysis, in clean water samples. The extent of COD overestimation during the early stage of oxidation (0~10 min) by O3/H2O2 (Ñ) and O3/UV/H2O2 (Š) was approximately 24~26 mg/L (Fig. 2), which corresponds well to that in the presence of 50 mg/L of H2O2 (Fig. 3). These results imply that the data in Fig. 2 are not true COD values, specifically the values for O3/H2O2 and O3/UV/H2O2. Therefore, some corrections are needed in order to estimate the true COD values when H2O2 is involved.

COD analysis using K2Cr2O7 was not influenced by ozone according to separate tests involving the addition of ozone to both wastewater and KHP solution, perhaps because the oxidation potential of K2Cr2O7 is smaller than that of ozone; K2Cr2O7 is not consumed in the oxidation of ozone.

Error in standard solution COD values due to H2O2

The extent of COD overestimation was proportional to the H2O2 concentration (Fig. 3). This was confirmed by measuring the COD value of the KHP solutions. KHP is often used as a standard COD analyte because it is completely oxidized by standard COD analysis; 1 mg of KHP normally has a theoretical COD value of 1.177 mg. Fig. 4 shows the COD values obtained from different KHP concentrations in distilled water. CODKHP values linearly increase in proportion to the KHP concentration. Similar to Fig. 3, overestimation of COD was observed in the presence of H2O2, the extent of which was increased as the H2O2 concentration increased. For CODKHP values up to 1,000 mg/L and H2O2 concentrations between 0~200 mg/L, the average extent of COD overestimation in KHP solution (ÄCODKHP) was approximately 0.58 mg per mg of H2O2.

Comparison of Figs. 3 and 4 shows that the extent of COD overestimation per unit mass of H2O2 in KHP solution (ΔCODKHP) was slightly greater than that in livestock wastewater (ΔCODLWW). This suggests that real wastewater contains organic constituents that are more resistant to oxidation by K2Cr2O7 during COD analysis compared to clean water containing KHP only. Real livestock wastewater is not homogeneous in that it contains non-organic turbidity and color values that mitigate oxidation performance as well as organic compounds which are less vulnerable to oxidation by K2Cr2O7.

Corrected COD values of livestock wastewater

The results shown in Figs. 3 and 4, especially the linearity between ÄCOD and H2O2 content, imply that the extent of COD overestimation during oxidation can be determined relatively by correlating COD values with the H2O2 concentration, although the exact relationship is wastewater-dependent. Therefore, the true COD values were estimated by first determining the concentration of residual H2O2 in wastewater and then correlating it with ÄCOD during oxidation when the H2O2 concentration is continuously changing. During COD removal, some fraction of H2O2 must be converted into hydroxyl radicals especially when UV or ozone was applied with H2O2 Fronk, 1987; Gunten, 2003; Rosenfeldt et al., 2006; Kwon et al., 2009). Similar approach has been used to the treatment of industrial wastewaters using H2O2 alone (Zak, 2008).

Fig. 5 shows the change in residual H2O2 concentration during oxidation as well as any corresponding changes in ÄCOD, which were estimated based upon the results of Fig. 3. The H2O2 concentration decreased from 50 mg/L to zero due to oxidation and/or conversion into hydroxyl radicals in the presence of ozone or UV. Consequently, ÄCOD decreased gradually from 27 mg/L to zero as the amount of H2O2 also approached zero.

Fig. 6 shows the true COD values obtained by subtracting ÄCOD (Fig. 5b) from the measured COD values (Fig. 2). If we compare the measured COD values (Fig. 2) to their corresponding correct ones (Fig. 6), overestimation between 0 ~ 10 min disappeared and all COD curves smoothly decreased, as was the case for H2O2 in Fig. 2. The COD removal performances for 2 h of treatment were 54 % by O3 alone and then 62 %, 78 % and 88 % by O3/H2O2, O3/UV and O3/H2O2/UV, respectively.

The true COD values in Fig. 6 reveal some important characteristics of COD removal among the different combinations of oxidation methods. First of all, O3/H2O2 was more efficient in removing COD from livestock wastewater than O3 alone. This was also true for O3/H2O2/UV compared to O3/UV. As seen in Figs. 6 and 2, O3/UV consistently performed better than O3/H2O2 during oxidation, implying that UV irradiation coupled with H2O2 removed COD from livestock wastewater better than applying O3/H2O2 together.

CONCLUSION

This study investigated the effects of H2O2 interference during ozone-based advanced oxidation of livestock wastewater in which H2O2 concentration and COD values are dynamically changing and determined true COD values which were utilized in interpreting treatment performance.

The existence of H2O2 leads to overestimation of measured COD values since it consumes the oxidation agent. The extent of H2O2 interference in COD analysis was proportional to the remaining H2O2 concentration at the moment of sampling. The ÄCOD varied between 0.50~0.58 mg per 1 mg of H2O2, depending upon wastewater quality or the persistency of organic materials in the wastewater. To determine the true COD values during oxidation, the ÄCOD along with its correlation with the remaining H2O2 concentration were evaluated. True COD values were recalculated by considering the ÄCOD owing to remaining H2O2.

The resulting true COD values allowed reinterpretation of the oxidation process, which could not be seen in the measured COD data. The COD removal performances for 2 h of treatment, based upon corrected COD values, were 54 %, 62 %, 78 % and 88 % by O3, O3/H2O2, O3/UV and O3/H2 O2/UV, respectively. Although specific to the livestock wastewater and treatment conditions in this study, O3/H2O2 was more efficient in removing COD than O3 alone while application of O3/H2O2/UV was superior to O3/UV. Furthermore, when coupled with ozone, UV irradiation coupled with O3 degraded COD better than O3/H2O2 combination.

ACKNOWLEDGEMENTS

This study was financially supported by 2008 Industry-Academia Joint Research Program of Small and Medium Business Administration (SMBA-2008-1-EN-4), Korea, in cooperation with Hae-Sung Engineering, Inc. Eunyoung and Hyejung are also thankful to scholarship from BK21 Program of the Ministry of Education, Korea.

REFERENCES

  1. Adams, R. H.; Ola¡n-Castro, D.; Guzma¡n-Osorio, F. J.; Daaz-Ramirez, I. J., (2009). Relationship between geomorphology and contamination with weathered hydrocarbons in an old river levee/ marsh association. Int. J. Environ. Sci. Tech., 6 (4), 527-538 (12 Pages),
  2. APHA; AWWA; WEF, (2005). Standard methods for the examination of water and wastewater. 21st Ed., American Public Health Association, American Water Works Association and the Water Environment Federation. Washington DC., USA.
  3. Arslan, I.; Balcioglu, I., (2001). Advanced oxidation of raw and biotreated textile industry wastewater with O3, H2O2/UV-C and their sequential application. J. Chem. Tech. Biotech., 76 (1), 53-60 (8 pages).
  4. Bader, H.; Hoigne, J., (1981). Determination of ozone in water by the indigo method. Water Res., 15 (4), 449-456 (8 pages).
  5. Bandyopadhyay, G.; Chattopadhyay, S., (2007). Single hidden layer artificial neural network models versus multiple linear regression model in forecasting the time series of total ozone. Int. J. Environ. Sci. Tech., 4 (1), 141-150 (10 Pages)
  6. Barker, R.; Jones, A. R., (1988). Treatment of maloderants in air by UV/ozone technique. Ozone Sci. Eng., 10 (4), 405-417 (13 pages).
  7. Baumann, F. J., (1974). Dichromate reflux chemical oxygen demand: A proposed method for chloride in highly saline wastes. Anal. Chem., 46 (9), 1336-1338 (3 pages).
  8. Domini, C. E.; Hidalgo, M.; Marken, F.; Canals, A., (2006). Comparison of three optimized digestion methods for rapid determination of chemical oxygen demand: Closed microwaves, open microwaves and ultrasound irradiation. Anal. Chim. Acta, 561 (1-2), 210-217 (8 pages).
  9. El Diwani, G.; El Rafie; S.; Hawash, S., (2009). Degradation of 2, 4, 6-trinitotoluene in aqueous solution by ozonation and multi-stage ozonation biological treatment. Int. J. Environ. Sci. Tech., 6 (4), 619-628 (10 Pages).
  10. Fronk, C. A., (1987). Destruction of volatile organic contaminants in drinking water by ozone treatment. Ozone Sci. Eng., 9 (3), 265-288 (24 pages).
  11. Gharbani, P.; Tabatabaii, S. M.; Mehrizad, A., (2008). Removal of Congo Red from textile wastewater by ozonation. Int. J. Environ. Sci. Tech., 5 (4), 495-500 (6 pages).
  12. Gunten, U., (2003). Ozonation of drinking water: Part I. Oxidation kinetics and product formation. Water Res., 37 (7), 1443-1467 (15 pages).
  13. HACH, (2009). Oxygen Demand, Chemical Method 8000. DR/4000 Procedure.
  14. Hoigne, J.; Bader, H., (1983). Rate constants of reactions of ozone with organic and inorganic compounds in water. Water Res., 17 (2), 185-194 (10 pages).
  15. Juang, D. F.; Lee, C. H.; Hsueh, S. C., (2009). Chlorinated volatile organic compounds found near the water surface of heavily polluted rivers. Int. J. Environ. Sci. Tech., 6 (4), 545-556 (12 Pages).
  16. Kang, Y. W.; Cho, M. J.; Hwang, K. Y., (1999). Correction of hydrogen peroxide interference on standard chemical oxygen demand test. Water Res., 33 (5), 1247-1251 (5 pages).
  17. Kleiser, G.; Frimmel, F. H., (2000). Removal of precursors for disinfection by-products: differences between ozone- and OH-radical-induced oxidation. Sci. Total Environ., 256 (1), 1-9 (9 pages).
  18. Kosaka, K.; Yamada, H.; Matsui, S.; Echigo, S.; Shishida, K., (1998). Comparison among the methods for hydrogen peroxide measurements to evaluate advanced oxidation processes: Application of a spectrophotometric method using copper (II) ion and 2, 9-dimethyl-1, 10-phenanthroline. Environ. Sci. Tech., 32 (23), 3821-3824 (4 pages).
  19. Kuo, W. G., (1992). Decolorizing dye wastewater with Fenton's reagent. Water Res., 26 (7), 881-886 (6 pages).
  20. Kwon, B. G.; Ryu, S.; Yoon, J., (2009). Determination of hydroxyl radical rate constans in a continuous flow system using competition kinetics. J. Ind. Eng. Chem., 15 (6), 809-812 (4 pages).
  21. Langlais, B.; Reckhow, D. A.; Brink, D. R., (1991). Ozone in water treatment: Application and engineering, Lewis Publishers.
  22. Legrini, O.; Oliveros, E.; Braun, A. M., (1993). Photochemical processes for water treatment. Chem. Rev., 93 (2), 671-698 (8 pages).
  23. Oeller, H. J.; Demel, I.; Weinberger, G., (1997). Reduction in residual COD in biologically treated paper mill effluents by means of combined ozone and ozone/UV reactor stages. Water Sci. Tech., 35 (2-3), 269-276 (8 pages).
  24. Oneby, M. A.; Bromley, C. O.; Borchardt, J. H.; Harrison, D. S., (2010). Ozone treatment of secondary effluent at U. S. municipal wastewater treatment plants. Ozone Sci. Eng., 32 (1), 43-55 (13 pages).
  25. Rakness, K. L., (2005). Ozone in drinking water treatment: process design, operation, and optimization, AWWA.
  26. Richardson, S. D.; Thruston, A. D.; Caughran, T. V.; Chen, P. H.; Collette, T. W.; Floyd, T. L., (1999). Identification of new ozone disinfection byproducts in drinking water. Environ. Sci. Tech., 33 (19), 3368-3377 (10 pages).
  27. Rosenfeldt, E. J.; Linden, K. G.; Canonica, S.; von Gunten, V., (2006). Comparison of the efficiency of OH radical formation during ozonation and the advanced oxidation processes O3/H2O2 and UV/ H2O2. Water Res., 40 (20), 3695-3704 (10 pages).
  28. Samarghandi, M. R.; Nouri, J.; Mesdaghinia, A. R.; Mahvi, A. H.; Nasseri, S.; Vaezi, F., (2007). Efficiency removal of phenol, lead and cadmium by means of UV/ TiO2/ H2O2 rocesses. Int. J. Environ. Sci. Tech., 4 (1), 19-26 (8 Pages).
  29. Sauze, N.; Laplanche, A.; Martin, G.; Paillard, H., (1991). A process of washing and ozonation to deodorize an atmosphere contaminated by sulfides. Ozone Sci. Eng., 13 (3), 331-347 (18 pages).
  30. Talinli, I.; Anderson, G. K., (1992). Interference of hydrogen peroxide on the standard COD test. Water Res., 26 (1), 107-110 (4 pages).
  31. Tambosi, J. L.; de Sena, R. F.; Gebhardt, W.; Moreira, R.; Jose, H. J.; Schroder, H. F., (2009). Physicochemical and advanced oxidation process: A comparison of elimination results of antibiotic compounds following an MBR treatment. Ozone Sci. Eng., 31 (6), 428-435 (8 pages).
  32. Tizaoui, C.; Bouselmi, L.; Mansouri, L.; Ghrabi, A., (2007). Landfill leachate treatment with ozone/hydrogen peroxide systems. J. Hazard. Mater., 140 (1-2), 316-324 (9 pages).
  33. Tosik, R.; Wiktorowski, S., (2001). Color removal and improvement of biodegradability of wastewater from dye production using ozone and hydrogen peroxide. Ozone Sci. Eng., 23 (4), 295-302 (8 pages).
  34. Vaidya, B.; Watson, S. W.; Coldiron, S. J.; Porter, M. D., (1997). Reduction of chloride ion interference in chemical oxygen demand determination using bismuth-based adsorbents. Anal. Chim. Acta, 357 (1-2), 167-175 (8 pages).
  35. Wu, J. J.; Muruganandham, M.; Chen, S. H., (2007). Degradation of DMSO by ozone-based advanced oxidation processes. J. Hazard. Mater., 149 (1), 218-225 (8 pages).
  36. Yasar, A.; Ahmad, N.; Chaudry, M. N.; Rehman, M. S. U.; Khan, A. A., (2007). Ozone for color and COD removal of raw and anaerobic biotreated combined industrial wastewater. Pol. J. Environ. Stud., 16 (2), 289-294 (6 pages).
  37. Zak, S., (2008). Problem of correction of the chemical oxygen demand values determined in wastewaters treated by methods with hydrogen peroxide. Proc. ECOpole, 2 (2), 409-414 (5 pages).

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