Next Article in Journal
Flood Flow Frequency Analysis to Estimate Potential Floodplain Nitrogen Treatment during Overbank Flow Events in Urban Stream Restoration Projects
Next Article in Special Issue
Modeling and Analysis of Particle Deposition Processes on PVDF Membranes Using SEM Images and Image Generation by Auxiliary Classifier Generative Adversarial Networks
Previous Article in Journal
3D Characterization of a Coastal Freshwater Aquifer in SE Malta (Mediterranean Sea) by Time-Domain Electromagnetics
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Modelling the Mineralization of Formaldehyde by Treatment with Nitric Acid

1
Department of Chemical Engineering and Materials, Universidad Complutense de Madrid, Av. Complutense s/n, 28040 Madrid, Spain
2
Department of Mechanical, Chemical and Industrial Design Engineering, ETSIDI, Universidad Politécnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain
*
Authors to whom correspondence should be addressed.
Water 2020, 12(6), 1567; https://doi.org/10.3390/w12061567
Submission received: 8 May 2020 / Revised: 27 May 2020 / Accepted: 28 May 2020 / Published: 30 May 2020
(This article belongs to the Special Issue Water Pollution and Sanitation)

Abstract

:
Formaldehyde is a recalcitrant pollutant, which is difficult to remove from wastewater using conventional and advanced treatments. The objective of this research was to remove the organic matter from formaldehyde from an industrial wastewater, achieving its total mineralization and allowing the reuse of the water. The treatment was based on the reaction of formaldehyde with nitric acid, which was first studied and modelled with synthetic waters. Results show that it was possible to almost completely mineralize the formaldehyde (>95% TOC removal) at the best conditions studied (1.72 M of nitric acid and 85 °C of temperature). The addition of NaNO2 accelerated this reaction; however, after 2 h of reaction time, its effect was negligible at the maximum concentration of HNO3 studied. The results obtained with industrial wastewater fit well with the model. It is concluded that formaldehyde in actual wastewaters can be successfully removed through direct mineralization with nitric acid, under selected conditions.

1. Introduction

Formaldehyde is a recalcitrant organic compound widely used around the world due to its high reactivity, colorless nature, stability, purity in commercial form and low cost [1]. It is used in many industrial products, including adhesives [2], paints [3], resins [4], textiles [5,6], wood-based panels [7], ethylene glycol [8] and other synthetic products in chemical and petrochemical plants [9], leading to concentrations of up to 10,000 mg/L in wastewater [10].
Among the studied methods for formaldehyde removal, biological ones are the most commonly considered despite the potential microbial inhibition, due to their cost effectiveness, easy operation and eco-friendly behavior [11]. Most that were studied were carried out with synthetic water at low concentrations, where the microbial inhibition is low and high removals of formaldehyde can be achieved [11,12,13]. However, the formaldehyde degradation can be reduced at high concentrations, especially if other toxic compounds are also present.
The state of the art shows the use of different advanced oxidation processes (AOPs) as pre-treatment for the removal of formaldehyde, such as photocatalysis, Fenton, photo-Fenton and electro-Fenton processes, ozonation with the addition of H2O2, catalytic ozonation and H2O2/UV process [14,15,16,17]. Fenton and photo-Fenton processes are able to degrade more than 90% of the formaldehyde in the wastewater, and the use of only UV/H2O2 achieved almost 80% removal [18]. The electro-Fenton process applied to a highly formaldehyde concentrated water achieved the complete removal of formaldehyde, and 51% mineralization [19]. Regarding ozone oxidation, different results have been found; generally, the addition of H2O2 and catalysts is usually required to achieve 80% formaldehyde reduction [10,20]. In these processes, the cost of operation is high due to the dosage of reagents and energy required. Furthermore, the matrix of the industrial wastewaters could reduce the efficiency of these treatments, as they are non-selective oxidation processes.
An alternative treatment is the reaction of formaldehyde with nitric acid. Previous studies have shown that nitric acid can be removed from wastewater by its reaction with formaldehyde and formic acid [21,22]. They found that the reaction happened after an induction period, which depended on the temperature and concentration of reagents. They suggested that accelerators of the reaction as sodium nitrite or nitrous acid could be used. The mechanism depends on the concentration of nitric acid—while high concentrations of HNO3 directly oxidize the formaldehyde to NO2 and CO2, as HNO3 concentration decreases, the oxidation of formaldehyde results in the formation of NO and CO2, as well as the formation of formic acid and NO2 [21,22,23]. They studied the degradation of nitric acid through its reaction with formaldehyde, performing the reaction at about 100 °C and optimizing the removal of nitric acid. Horváth et al. [24] focused on the study of the reaction through the formation of formic acid, working at ambient temperature and using high concentrations of nitric acid, always in presence of an accelerator. The induction period of the reaction was also studied by Healy [21], as a function of the temperature. It was concluded that reducing the induction time, high temperature and high nitric acid concentration are necessary.
Considering that the objective of this study is to treat an industrial wastewater to be able to reuse the water into the process, a complete mineralization of the formaldehyde is required. Therefore, a comprehensive study of the reaction of formaldehyde with nitric acid has been carried out. The process has been modeled with synthetic waters, studying different temperatures, concentrations of nitric acid and reaction times. Furthermore, the addition of sodium nitrite as an option to accelerate this reaction has been evaluated. Finally, the process has been applied to treat industrial wastewater. The results fit well with the model, and the treatment can be implemented at an industrial scale.

2. Materials and Methods

2.1. Materials

All used chemicals were of analytical grade. Formaldehyde (37% w/w), stabilized with 10–15% methanol to prevent polymerization, was purchased from Sigma-Aldrich (Steinheim, Germany). A synthetic solution of 3500 mg/L of formaldehyde (corresponding TOC of 1400 mg/L) was prepared with Milli-Q grade water to simulate the correspondent industrial wastewater highly contaminated with formaldehyde. Both nitric acid (65% w/w) and sodium nitrite were supplied by Panreac S.A. (Barcelona, Spain). The industrial wastewater samples were received from the industrial plant to test the treatment. Samples were kept at ambient temperature to avoid the polymerization process of formaldehyde and characterized its previous use. Different samples were received, and the initial formaldehyde concentration varied between 927 and 3920 mg/L.

2.2. Experimental Procedure

The reaction of formaldehyde with nitric acid has been studied at four different temperatures (50, 70, 85 and 100 °C) based on previous studies [21], adding different doses of sodium nitrite (0, 50 and 100 mM). Sodium nitrite doses were substantially higher than those in the literature [24] to check their effect, trying to avoid the increase of temperature to obtain the degradation of formaldehyde and comparing those higher concentrations with the non-addition of nitrite. The concentrations of nitric acid (0.17, 0.86 and 1.72 M) were selected to keep the amount of acid at a minimum, working at a molar ratio between nitric acid and formaldehyde of 2 with the lowest concentration, which should favor the formation of formic acid, according to Healy [21]. The higher concentrations of nitric acid imply molar ratios between nitric acid and formaldehyde of 9 and 18, above the stoichiometric molar ratio proposed by Healy [21] to achieve the direct degradation of formaldehyde. The synthetic formaldehyde solution and the corresponding amount of sodium nitrite were placed in a three-necked, round-bottomed flask, and this mixture was heated using a heating mantle up to the correspondent temperature in each experiment. Nitric acid was slowly dropped into the flask through one of the necks, which was subsequently closed. The produced gases passed through a reflux water condenser. All reactions were carried out for 120 min, the maximum time permitted for this treatment step to be included in the industrial process, and samples were collected at 0, 15, 30, 60, 90 and 120 min.
Total organic carbon (TOC) was measured using a TOC/TN analyzer multi N/C® 3100 (Analytik Jena AG, Jena, Germany) with catalytic oxidation on cerium oxide at 850 °C. Formaldehyde was measure by using GC/MS (Agilent Technologies, Santa Clara, CA, USA), GC model 7890A and MS model 75975C, with a J&W HP-5ms GC Column (30 m, 0.25 mm, 0.25 µm, Agilent Technologies). The oven temperature program was 60 °C (2 min) → 7 °C/min → 150 °C → 15 °C/min → 220 °C (10 min) → 20 °C/min → 290 °C (29 min) → 25 °C/min → 300 °C (2 min). The carrier gas was He at a constant flow of 1.0 mL, injection temperature of 200 °C at splitless mode for 0.2 min, ionization voltage of 70 eV, ion source temperature of 230 °C, quadrupole temperature of 150 °C and interphase temperature of 280 °C. Samples were prepared following the indications of Sugaya et al. [25].

2.3. Experimental Design

Response surface methodology (RSM) was used to study three independent variables, namely concentration of HNO3, temperature and concentration of NaNO2, in order to maximize TOC removal. The responses of each experiment were correlated with the three independent variables through an empirical second-degree polynomial equation (Equation (1), where Y is the dependent variable, xi and xj represent the independent variables and b0, bi, bii and bij are the corresponding regression coefficients). Two dependent variables were studied, the percentage of TOC removal after 30 min and 120 min of treatment. Analysis of variance (ANOVA) was used to analyze the models and to assess the influence that the experimental variables, as well as their interactive effects, has on the treatment of wastewater contaminated with formaldehyde. Statgraphics Centurion (Statpoint Technologies, Inc., Warrenton, VA, USA) was used for the statistical calculations. Response surfaces were drawn, considering one of the independent variables at a fixed value, and varying the other two.
Y = b 0   +   b i · x i   +   b ii · x i 2   +   b ij · x i · x j

3. Results and Discussion

3.1. Assessment of Reaction Conditions to Mineralize Formaldehyde

A systematic study of the effect of the variables was performed by measuring the TOC along the reaction. Mineralization was studied along the reaction time, regarding the HNO3 and NaNO2 concentrations at different temperatures (Figure 1 and Figure 2).
The concentration of 0.17 M of HNO3 achieved a maximum of 20% TOC removal at the best conditions tested (2 h of reaction time, 85 or 100 °C and 100 mM NaNO2; data not shown), and at the beginning of the reaction (15 min), remaining almost constant thereafter. For a higher formaldehyde mineralization, higher concentrations of HNO3 are needed, such as 0.86 and 1.72 M, as shown in Figure 1 and Figure 2, respectively. At 0.86 M of HNO3, the maximum TOC removal is 77%, while 98% can be achieved at 1.72 M of HNO3. In all cases the best temperature was 85 °C, and the presence of NaNO2 accelerated the reaction.
At the best conditions, the mineralization was achieved after 2 h, regardless the concentration of NaNO2 used. The role of nitrite in this reaction could be related with the increase amount of HNO3 in the reaction medium, according to the disproportionation reaction of NO2 in an acidic medium (Equation (2) [26]).
3   NO 2   ( ac ) + 3   H ( ac ) + 2   NO ( g ) + HNO 3 ( ac ) + H 2 O
An increase of temperature favors the kinetics of the reaction, which is observed up to 85 °C, but decreases thereafter. The profiles showed in Figure 1 and Figure 2 mainly agree with those of the exothermic reversible reactions, in which too-high temperatures move away from equilibrium, working against the degradation process. This agrees with Healy [21], who proposed the reversible reaction of degradation of formaldehyde with nitric acid, which can happen through a direct degradation forming NO2 and CO2, or through the formation of formic acid as byproduct, and eventually resulting in NO2, NO and CO2, when the reactions were conducted at 100 °C. He did not find NO in the gaseous stream when high amounts of HNO3 (>13 N) were used in the reaction, assuming the direct degradation of formaldehyde, whereas at concentrations of HNO3 below 13 N, reaction through the formation of formic acid should be considered. In fact, in our case, NO2 was clearly identified by its characteristic orange-reddish color at the beginning of the reaction at the higher values of temperature of 85 and 100 °C. The production of this gaseous stream makes mandatory the implementation of treatment systems that are already implemented in the studied industrial site for other streams.
In summary, to optimize the industrial process, it is recommended to keep the best temperature at the beginning of the reaction and decrease it as the reaction proceeds and it is close to equilibrium. Being an exothermic reaction, it helps to reduce the amount of energy required to reach the optimum temperature.
Working at 70 and 100 °C with the highest amount of HNO3, between 80 and 90% of TOC was removed after 2 h of treatment, reaching higher TOC removal at shorter times when the concentration of NaNO2 increased (Figure 1). However, the effect of NaNO2 was negligible when the concentration of HNO3 was 0.86 M (Figure 2) between using 50 and 100 mM of NaNO2. However, at this low amount of HNO3, the addition of NaNO2 is required to observe any degradation in 2 h of reaction time.
50 °C of reaction temperature with the highest concentrations of both HNO3 and NaNO2 achieved a 70% TOC removal after 2 h of treatment (Figure 1), which was drastically reduced as the concentration of HNO3 decreased (Figure 2).
The profiles of TOC removal during the treatment moved from no increase of TOC removal to a power profile of TOC removal with the increasing concentration of HNO3, temperature and concentration of NaNO2, up to those close to the best ones. It can be concluded that at the best conditions, the reaction occurred mainly in a single step with the direct mineralization of the formaldehyde, as Healy [21] proposed, while as the conditions of the reaction move away from the best ones, the oxidation of formaldehyde mainly follows the two stages through the formation of HCOOH, slowing down the kinetics of the process [21,24]. Complete mineralization could not be observed at low concentrations of HNO3 in 2 h of treatment, probably due to the reaction in two stages from CH2O to HCOOH and then CO2, NO and NO2; whereas at 1.72 M of HNO3, 96% of TOC removal can be achieved probably through direct mineralization of CH2O to CO2 and NO2. Higher concentrations of HNO3 do not meaningfully improve the reaction (2.3 M of HNO3, 97% of TOC), which seems to indicate that part of the CH2O is degraded into HCOOH following the two-stage path.

3.2. Statistical Analysis

TOC removal after 30 min, Y1, and 120 min, Y2, and the matrix of experiments are shown in Table 1. The empirical quadratic correlations between dependent and independent variables are shown in Equations (3) and (4) for Y1 and Y2, respectively.
Y1predicted = −54.90 + 0.13·NaNO2 − 35.58·HNO3 + 1.71·T
− 0.0033·NaNO22 + 0.26·NaNO2·HNO3 + 0.0037·NaNO2·T +
+ 8.81·HNO32 + 0.48·HNO3·T − 0.012·T2
Y2predicted = −109.48 + 0.47·NaNO2 + 5.42·HNO3 + 2.55·T
− 0.0022·NaNO22 + 0.065·NaNO2·HNO3 − 0.0010·NaNO2·T +
+ 2.52·HNO32 + 0.42·HNO3·T − 0.015·T2
The results for the analysis of variance (ANOVA) for the quadratic model are presented in Table 2 and Table 3 for both responses TOC removal after 30 min, Y1, and after 120 min, Y2, respectively. The ANOVA table divides the TOC removal variability into separated pieces for each factor. It proves the statistical significance of each factor by comparing their mean square and an estimation of the experimental error. For the case of Y1 (response is the TOC removal after 30 min, Table 2), there were five factors with a p-value lower than 0.05. A factor is more significant when the F value is bigger and p-value is smaller [27]; therefore, in this case the more significant factors were the concentration of both NaNO2 and HNO3. Regarding square R, the model is able to explain 85.79% of the variability of TOC removal after 30 min. However, adjusted square-R is more adequate to compare models with a different number of independent variables, and this was 80.88%.
In the case of Y2 (response is the TOC removal after 120 min, Table 3), there were only three factors with a p-value lower than 0.05, with the concentration of HNO3 being the most significant of all. The relevance of the concentration of NaNO2 on this response was much lower than for Y1, due to the effect that the reaction time has on the removal of TOC. Therefore, it can be concluded that the effect of the concentration of NaNO2 is much more important at short reaction times, being less significant when the reaction time increases. The model can explain 87.78% of the variability of TOC removal after 120 min, being the adjusted square-R 83.54%.

3.3. Response Surface Methodology to Model the Mineralization of Formaldehyde

If the temperature is fixed at 85 °C, the effect of the concentration of HNO3 on the TOC removal was greater than the concentration of NaNO2, both after 30 and 120 min of reaction time (Figure 3a,b, respectively). However, there is a clear difference on the effect of NaNO2 on TOC removal depending on the reaction time. After 30 min, the influence of NaNO2 on the TOC removal is almost as significant as the influence of HNO3, increasing the TOC removal as both concentrations, NaNO2 and HNO3, increase, with the effect of NaNO2 being higher when the concentration of HNO3 was higher. Therefore, it is possible to drastically decrease the reaction time, reaching more than 90% TOC removal in 30 min working at 85 °C, with the highest doses tested of HNO3 and NaNO2 (Figure 3a). Working at 85 °C, however, at the higher concentration of HNO3, more than 95% removal of TOC after 2 h can be achieved, regardless the concentration of NaNO2 (Figure 3b). At that reaction time, the influence of NaNO2 is not as meaningful as it was at shorter reaction times, showing a slight increase of TOC removal as the concentration of NaNO2 increased (Figure 3b). Therefore, the models help to look for optimum conditions and find the critical parameters.
The fixed doses of NaNO2 and HNO3 to represent response surfaces were the maximum dose tested for each one after 30 min of reaction time (Figure 4 and Figure 5, respectively). When the concentration of NaNO2 was kept fixed at 100 mM, the influence of the concentration of HNO3 was greater than the influence of the temperature on the TOC removal after 30 min of treatment (Figure 4). As the concentration of HNO3 increased, the TOC removal increased as well, reaching higher values of TOC removal when an additional high temperature was applied during the reaction. As can be observed in Figure 3 and Figure 4, at a lower amount of HNO3, the effect of other variables is negligible, regardless of the concentration of NaNO2, reaction time (Figure 3) or temperature (Figure 4). However, as the dose of HNO3 increases, their effect becomes more significant, at least after 30 min of reaction time (Figure 3a and Figure 4). Therefore, it seems that a minimum amount of HNO3 is needed to keep the reaction working, and to improve it by optimizing the rest of the parameters.
Finally, by fixing the amount of HNO3 at the maximum one, after 30 min of reaction time (Figure 5), the effect of the other two variables, concentration of NaNO2 and temperature, can be observed. TOC removal increases as both the concentration of NaNO2 and temperature increase. However, the effect of the temperature was different depending on the dose of NaNO2 used in the reaction. As the concentration of NaNO2 increases, the effect of increasing the temperature is high.
The surface models predict the increase of the TOC removal as the temperature increases, although between 85 and 100 °C, TOC removal remains constant or even decreases, and the models struggle to predict that behavior.
Wastewater containing formaldehyde from an industrial process was used to validate the models obtained for the mineralization of formaldehyde at the best studied temperature and after 120 min of reaction time. RSM model at 85 °C predicts the behavior of the industrial wastewater quite well (Figure 6), although the model tendency seems to point out to a complete removal of TOC at higher concentration of HNO3. However, the experimental data prove that part of the formaldehyde is not completely degraded, probably because formic acid is formed, whose mineralization is slower that the one of formaldehyde, explaining the remained TOC at higher concentrations of nitric acid. Therefore, high concentrations of HNO3 favor the direct mineralization of formaldehyde, but degradation to formic acid could still occur.
Working with 100 mM of NaNO2, the TOC removal was almost the same as predicted by the model; the same happens without addition of NaNO2 at the model conditions (1.4 M of HNO3) or near the limits of the model (2.3 M of HNO3) (Figure 6).
Interestingly, if TOC removal is compared with formaldehyde removal for the industrial wastewater (Figure 6), working at 85 °C, it is observed that formaldehyde and TOC removals were always practically the same, reinforcing the hypothesis of the removal of formaldehyde through direct mineralization.
%TOCremoval,85 °C = −3.95 + 41.34 · HNO3 + 0.38 · NaNO2+ 0.065 · HNO3 ·
NaNO2 + 2.52 · HNO32 − 0.022 · NaNO22

3.4. Assessment of the Influence of HNO3/CH2O Ratio

Table 4 shows the effect of the different parameters for different formaldehyde concentrations in industrial wastewater (Table 4). It is important to consider the HNO3/CH2O molar ratio in each case. In the table, the experiments are ordered according to the HNO3 concentration in the reaction.
Results show that when the concentration of HNO3 decreases, the removal of CH2O tends to decrease, although both the temperature and the concentration of NaNO2 also influence the reaction. Equations (5)–(7) [21] show the possible reactions between HNO3 and CH2O depending on the concentration of HNO3 in the reaction medium: high concentration favors reaction 5 (>16 M); concentrations around 1 M favor reaction 6; and lower concentrations favor reaction 7 (<0.5 M). The results shown in Table 4 agree with the Healy observations; when more than 1 M of HNO3 was used, a complete degradation of formaldehyde directly into CO2 and a mixture of NO and NO2 is achieved. As the concentration of HNO3 decreased, the kinetics of the reaction did too, with it not being possible to completely degrade formaldehyde when the concentration of HNO3 decreases below 1 M.
4   HNO 3 + CH 2 O 4   NO 2 + CO 2 + 3 H 2 O
4   HNO 3 + 3 CH 2 O 4   NO + 3 CO 2 + 5 H 2 O
2   HNO 3 + CH 2 O HCOOH + 2   NO 2 + H 2 O
The removal of CH2O also decreases when the molar ratio HNO3/CH2O is lower. When more than 1 M of HNO3 was used, the HNO3/CH2O molar ratio was kept higher than 20. The decrease of HNO3 below 1 M decreased the degradation of formaldehyde, even working at a HNO3/CH2O molar ratio of 12, enough above the stoichiometric ratio between HNO3 and CH2O. For that reason, it can be concluded that the ratio among HNO3 and CH2O must be high enough, but on the other hand, a minimum concentration of HNO3 must also be used.
Table 4 shows different initial concentrations of formaldehyde due to the variability of wastewater, but they are all in the same magnitude order. For that reason, additional experiments with higher concentrations of formaldehyde were performed (Table 5), in the absence of NaNO2 and using similar concentrations of HNO3 than in the previous experiments. The removal of CH2O was higher than 98% in these cases, from 5.5 M of HNO3 with a 3.8 HNO3/CH2O molar ratio to 0.66 M of HNO3 with a 0.5 HNO3/CH2O molar ratio (Table 5). It seems that the increase of formaldehyde concentration increases the kinetics of the reaction, with it being necessary to lower amount of HNO3 to achieve high CH2O removals.

4. Conclusions

The comprehensive understanding of the reaction conditions between formaldehyde and nitric acid at different conditions has enabled the discovery of the treatment conditions to achieve the complete mineralization of formaldehyde in synthetic and industrial wastewaters. The optimization of the variables, reaction time, concentration of HNO3 and temperature can be set using the proposed models, as a function of the industrial requirements. Furthermore, NaNO2 can be used as an option to accelerate the reaction, but it is not mandatory. The model at 85 °C fits quite well the behavior of the industrial formaldehyde wastewater; however, the models do not consider some of the behaviors observed for the reaction, such as the lower TOC removal at 100 °C.
The industrial wastewaters were successfully treated with nitric acid, enabling a complete removal of formaldehyde. It is also possible to treat highly concentrated streams without increasing the concentration of HNO3, which is important progress beyond minimizing the generation of both residual gas and nitrates in the treated water.

Author Contributions

Conceptualization, N.M., A.G.-E., C.N. and A.B. (Angeles Blanco); data curation, N.M., A.B. (Ana Balea), A.G.-E. and A.B. (Angeles Blanco); formal analysis, N.M., A.B. (Ana Balea) and J.T.; funding acquisition, A.B. (Angeles Blanco); investigation, N.M., A.B. (Ana Balea) and J.T.; methodology, N.M. and A.B. (Ana Balea); project administration, C.N. and A.B. (Angeles Blanco); supervision, N.M., A.G.-E., C.N. and A.B. (Angeles Blanco); validation, A.B. (Ana Balea); writing—original draft, N.M., A.B. (Ana Balea) and J.T.; writing—review & editing, N.M., A.B. (Ana Balea), A.G.-E., C.N. and A.B. (Angeles Blanco). All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Science, Innovation and University Ministry of Spain grant number CTM2016-77948-R and Comunidad de Madrid in Spain grant number S2018/EMT-4459.

Acknowledgments

The authors would like to thank the Science, Innovation and University Ministry of Spain for the support of the project CTM2016-77948-R and Comunidad de Madrid in Spain for the support of the project S2018/EMT-4459.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Pereira, N.; Zaiat, M. Degradation of formaldehyde in anaerobic sequencing batch biofilm reactor (ASBBR). J. Hazard. Mater. 2009, 163, 777–782. [Google Scholar] [CrossRef]
  2. Garrido, J.; Méndez, R.; Lema, J. Treatment of wastewaters from a formaldehyde-urea adhesives factory. Water Sci. Technol. 2000, 42, 293–300. [Google Scholar] [CrossRef]
  3. Wieslander, G.; Norbäck, D.; Björnsson, E.; Janson, C.; Boman, G. Asthma and the indoor environment: The significance of emission of formaldehyde and volatile organic compounds from newly painted indoor surfaces. Int. Arch. Occup. Environ. Health 1996, 69, 115–124. [Google Scholar] [CrossRef] [PubMed]
  4. Lippmann, M. Environmental Toxicants: Human Exposures and Their Health Effects, 3rd ed.; John Wiley & Sons: Hoboken, NJ, USA, 2000; ISBN 978-0-471-79335-9. [Google Scholar]
  5. Babu, B.R.; Parande, A.; Raghu, S.; Kumar, T.P. Textile technology. An Overview of Wastes Produced During Cotton Textile Processing and Effluent Treatment Methods. J. Cotton Sci. 1995, 11, 110–122. [Google Scholar]
  6. Carlson, R.M.; Smith, M.C.; Nedorost, S.T. Diagnosis and treatment of dermatitis due to formaldehyde resins in clothing. Dermatitis 2004, 15, 169–175. [Google Scholar]
  7. Costa, N.; Pereira, J.A.M.; Martins, J.M.; Ferra, J.; Cruz, P.; Magalhães, F.D.; Mendes, A.M.; Carvalho, L. Alternative to latent catalysts for curing UF resins used in the production of low formaldehyde emission wood-based panels. Int. J. Adhes. Adhes. 2012, 33, 56–60. [Google Scholar] [CrossRef]
  8. Celik, F.E.; Lawrence, H.; Bell, A.T. Synthesis of precursors to ethylene glycol from formaldehyde and methyl formate catalyzed by heteropoly acids. J. Mol. Catal. A Chem. 2008, 288, 87–96. [Google Scholar] [CrossRef]
  9. Guven, B.B.; Olaguer, E.P. Ambient formaldehyde source attribution in Houston during TexAQS II and TRAMP. Atmos. Environ. 2011, 45, 4272–4280. [Google Scholar] [CrossRef]
  10. Moussavi, G.; Yazdanbakhsh, A.; Heidarizad, M. The removal of formaldehyde from concentrated synthetic wastewater using O3/MgO/H2O2 process integrated with the biological treatment. J. Hazard. Mater. 2009, 171, 907–913. [Google Scholar] [CrossRef]
  11. Yamazaki, T.; Tsugawa, W.; Sode, K. Biodegradation of formaldehyde by a formaldehyde-resistant bacterium isolated from seawater. Appl. Biochem. Biotech. 2001, 91, 213–217. [Google Scholar] [CrossRef]
  12. Ezhilkumar, P.; Sivakumar, V.; Yogasri, A.; Thirumarimurugan, M. Biodegradation of formaldehyde using Bacillus subtilis in batch process. Int. J. Mater. Prod. Technol. 2017, 55, 296–307. [Google Scholar] [CrossRef]
  13. De Oliveira, S.V.W.B.; Moraes, E.; Adorno, M.; Varesche, M.; Foresti, E.; Zaiat, M. Formaldehyde degradation in an anaerobic packed-bed bioreactor. Water Res. 2004, 38, 1685–1694. [Google Scholar] [CrossRef] [PubMed]
  14. Cloteaux, A.; Gerardin, F.; Thomas, D.; Midoux, N.; André, J.-C. Fixed bed photocatalytic reactor for formaldehyde degradation: Experimental and modeling study. Chem. Eng. J. 2014, 249, 121–129. [Google Scholar] [CrossRef]
  15. Gao, L.; Gan, W.; Xiao, S.; Zhan, X.; Li, J. Enhancement of photo-catalytic degradation of formaldehyde through loading anatase TiO2and silver nanoparticle films on wood substrates. RSC Adv. 2015, 5, 52985–52992. [Google Scholar] [CrossRef]
  16. Ubolchonlakate, K.; Sikong, L.; Tontai, T. Formaldehyde degradation by photocatalytic Ag-doped TiO2 film of glass fiber roving. J. Nanosci. Nanotechnol. 2010, 10, 7522–7525. [Google Scholar] [CrossRef]
  17. Hong, Q.; Sun, D.-Z.; Chi, G.-Q. Formaldehyde degradation by UV/TiO2/O3 process using continuous flow mode. J. Environ. Sci. 2007, 19, 1136–1140. [Google Scholar]
  18. Kajitvichyanukul, P.; Lu, M.-C.; Jamroensan, A. Formaldehyde degradation in the presence of methanol by photo-Fenton process. J. Environ. Manag. 2008, 86, 545–553. [Google Scholar] [CrossRef]
  19. Moussavi, G.; Bagheri, A.; Khavanin, A. The investigation of degradation and mineralization of high concentrations of formaldehyde in an electro-Fenton process combined with the biodegradation. J. Hazard. Mater. 2012, 237, 147–152. [Google Scholar] [CrossRef]
  20. Parisheva, Z.; Nusheva, L.; Danova, N. Advanced oxidation of solutions containing formaldehyde part 1. Combined effect of ozone and hydrogen peroxide. Environ. Prot. Eng. 2003, 29, 5–14. [Google Scholar]
  21. Healy, T.V. The Reaction of nitric acid with formaldehyde and with formic acid and its application to the removal of nitric acid from mixtures. J. Appl. Chem. 2007, 8, 553–561. [Google Scholar] [CrossRef]
  22. Mishra, S.; Lawrence, F.; Sreenivasan, R.; Pandey, N.; Mallika, C.; Koganti, S.B.; Mudali, U.K. Development of a continuous homogeneous process for denitration by treatment with formaldehyde. J. Radioanal. Nucl. Chem. 2010, 285, 687–695. [Google Scholar] [CrossRef]
  23. Kumar, S.V.; Nadkarni, M.N.; Mayankutty, P.C.; Pillai, N.S.; Shinde, S.S. Destruction of Nitric Acid in Purex Process Streams by Formaldehyde Treatment; Bhabha Atomic Research Centre: Trombay, Mumbai, 1974.
  24. Horváth, M.; Lengyel, I.; Bazsa, G. Kinetics and mechanism of autocatalytic oxidation of formaldehyde by nitric acid. Int. J. Chem. Kinet. 1988, 20, 687–697. [Google Scholar] [CrossRef]
  25. Sugaya, N.; Nakagawa, T.; Sakurai, K.; Morita, M.; Onodera, S. Analysis of Aldehydes in Water by Head Space-GC/MS. J. Health Sci. 2001, 47, 21–27. [Google Scholar] [CrossRef] [Green Version]
  26. Álava, A.F.B.; Lucas, L.M.G.; Villamar, J.D.C.; Acebo, M.R.A.; Toala, T.O.M.; Parrales, T.M.M. Elementos de Química Básica; 3Ciencias: Alicante, Spain, 2018. [Google Scholar]
  27. Liu, Y.; Wang, J.; Zheng, Y.; Wang, A. Adsorption of methylene blue by kapok fiber treated by sodium chlorite optimized with response surface methodology. Chem. Eng. J. 2012, 184, 248–255. [Google Scholar] [CrossRef]
Figure 1. TOC removal at different reaction times depending on the temperature, adding (a) 100 mM NaNO2 and (b) 50 mM NaNO2, and using 0.86 M HNO3.
Figure 1. TOC removal at different reaction times depending on the temperature, adding (a) 100 mM NaNO2 and (b) 50 mM NaNO2, and using 0.86 M HNO3.
Water 12 01567 g001
Figure 2. TOC removal at different reaction times depending on the temperature, adding (a) 100 mM NaNO2, (b) 50 mM NaNO2 and (c) 0 mM NaNO2, and using 1.72 M HNO3.
Figure 2. TOC removal at different reaction times depending on the temperature, adding (a) 100 mM NaNO2, (b) 50 mM NaNO2 and (c) 0 mM NaNO2, and using 1.72 M HNO3.
Water 12 01567 g002aWater 12 01567 g002b
Figure 3. Response surfaces to assess the effect of the concentration of both NaNO2 and HNO3 on TOC removal after (a) 30 and (b) 120 min of treatment, at a fixed temperature of 85 °C.
Figure 3. Response surfaces to assess the effect of the concentration of both NaNO2 and HNO3 on TOC removal after (a) 30 and (b) 120 min of treatment, at a fixed temperature of 85 °C.
Water 12 01567 g003
Figure 4. Response surfaces to assess the effect of both temperature and concentration of HNO3 on TOC removal after 30 min of treatment, at a fixed dose of NaNO2 of 100 mM.
Figure 4. Response surfaces to assess the effect of both temperature and concentration of HNO3 on TOC removal after 30 min of treatment, at a fixed dose of NaNO2 of 100 mM.
Water 12 01567 g004
Figure 5. Response surfaces to assess the effect of both dose of NaNO2 and temperature on TOC removal after 30 min of treatment at a fixed dose of HNO3 of 1.72 M.
Figure 5. Response surfaces to assess the effect of both dose of NaNO2 and temperature on TOC removal after 30 min of treatment at a fixed dose of HNO3 of 1.72 M.
Water 12 01567 g005
Figure 6. RSM for 85 °C and the corresponding real values for TOC removal and formaldehyde removal.
Figure 6. RSM for 85 °C and the corresponding real values for TOC removal and formaldehyde removal.
Water 12 01567 g006
Table 1. Experiments performed under different conditions and the responses (TOC removal after 30 min, Y1, and TOC removal after 120 min, Y2) obtained experimentally and predicted by the model.
Table 1. Experiments performed under different conditions and the responses (TOC removal after 30 min, Y1, and TOC removal after 120 min, Y2) obtained experimentally and predicted by the model.
NaNO2, mMHNO3, MT, °CY1,experimental, %Y1,predicted, %Y2,experimental, %Y2,predicted, %
00.17500.7−2.51.4−16.0
00.17700.73.32.8−0.4
00.17855.61.04.93.1
00.171002.8−6.97.6−0.2
00.86502.1−4.30.04.2
00.86700.78.11.425.5
00.8685010.72.133.5
00.861004.27.840.034.5
01.72507.55.221.232.6
01.72708.925.880.261.2
01.728577.234.696.374.6
01.7210010.237.875.881.1
500.17508.97.17.50.1
500.17708.316.55.514.5
500.1785517.011.417.4
500.1710010.911.93.113.3
500.865014.114.419.522.4
500.867028.230.545.442.7
500.86854135.967.449.9
500.8610045.135.764.550.2
501.725024.635.347.453.6
501.727057.759.588.481.2
501.72858971.297.393.8
501.7210079.477.181.299.6
1000.175010.50.210.55.3
1000.177011.213.49.118.7
1000.178510.516.610.520.8
1000.1710016.814.218.215.9
1000.865012.316.719.929.9
1000.867031.936.446.049.2
1000.868552.744.676.855.6
1000.8610051.447.269.555.1
1001.725051.848.971.563.9
1001.727078.776.992.490.4
1001.728592.291.297.8102.3
1001.7210086.4100.092.0107.2
Table 2. ANOVA for the response surface quadratic model where response was TOC removal after 30 min, Y1.
Table 2. ANOVA for the response surface quadratic model where response was TOC removal after 30 min, Y1.
SourceSum of SquaresdfMean SquareF Valuep-Value
x1: NaNO2 concentration6272.516272.536.460Significant
x2: HNO3 concentration13,034.8113,034.875.770Significant
x3: Temperature2665.512665.515.490.0006Significant
x12541.21541.23.150.0878
x1·x21688.811688.89.820.0042Significant
x1·x3279.01279.01.620.2141
x22217.51217.51.260.2711
x2·x31131.311131.36.580.0165Significant
x32450.31450.32.620.1177
Total error4472.726172.0
Total (cor.)31,483.735
Square-R = 85.79%
Table 3. ANOVA for the response surface quadratic model where response was TOC removal after 120 min, Y2.
Table 3. ANOVA for the response surface quadratic model where response was TOC removal after 120 min, Y2.
SourceSum of SquaresdfMean SquareF Valuep-Value
x1: NaNO2 concentration3344.613344.615.720.0005Significant
x2: HNO3 concentration29,209.4129,209.4137.260Significant
x3: Temperature4294.714294.720.180.0001Significant
x12232.21232.21.090.3058
x1·x2101.41101.40.480.4962
x1·x321.8121.80.100.7515
x2217.8117.80.080.7746
x2·x3884.41884.44.160.0518
x32675.91675.93.180.0864
Total error5532.826212.8
Total (cor.)45,265.135
Square R = 87.78%
Table 4. Formaldehyde removal achieved by varying nitric acid concentration, temperature, sodium nitrite and formaldehyde concentration, working with industrial wastewater.
Table 4. Formaldehyde removal achieved by varying nitric acid concentration, temperature, sodium nitrite and formaldehyde concentration, working with industrial wastewater.
HNO3, MT, °CNaNO2, mMCH2O, mg/LHNO3/CH2O Molar Ratio% CH2O Removed
5.710001465117100
5.7850173799100
5.7700173799100
4.35850136396100
4.35850146089100
4.3570092714195.3
2.31000120557100
2.3850177839100
2.3700141649100
1.78510022042297.7
1.78510023262292.4
1.4850176824100
1.4700200121100
0.918510022781268.4
0.917010022781258.7
0.2010010039201.577.3
0.207010039201.577.8
0.17685023992.220
0.17670023992.211
0.06670019221.029.1
0.06685019221.013
Table 5. Formaldehyde removal achieved by varying nitric acid concentration, working with highly concentrated synthetic wastewater.
Table 5. Formaldehyde removal achieved by varying nitric acid concentration, working with highly concentrated synthetic wastewater.
HNO3, MT, °CNaNO2, mMCH2O, mg/LHNO3/CH2O Molar Ratio% CH2O Removed
5.5100043,6003.899.9
2.4100043,6001.799.8
1.5100043,6001.098.4
0.66100043,6000.598.2

Share and Cite

MDPI and ACS Style

Merayo, N.; Balea, A.; Tejera, J.; Garrido-Escudero, A.; Negro, C.; Blanco, A. Modelling the Mineralization of Formaldehyde by Treatment with Nitric Acid. Water 2020, 12, 1567. https://doi.org/10.3390/w12061567

AMA Style

Merayo N, Balea A, Tejera J, Garrido-Escudero A, Negro C, Blanco A. Modelling the Mineralization of Formaldehyde by Treatment with Nitric Acid. Water. 2020; 12(6):1567. https://doi.org/10.3390/w12061567

Chicago/Turabian Style

Merayo, Noemi, Ana Balea, Javier Tejera, Amalio Garrido-Escudero, Carlos Negro, and Angeles Blanco. 2020. "Modelling the Mineralization of Formaldehyde by Treatment with Nitric Acid" Water 12, no. 6: 1567. https://doi.org/10.3390/w12061567

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop