- Research article
- Open Access
Complexing capacity of electroplating rinsing baths—a twist to the resolution of two ligand families of similar strength
© Sosa et al. 2016
- Received: 30 August 2015
- Accepted: 1 December 2015
- Published: 6 February 2016
The presence of ligands affects metal behavior when removing metals from wastewaters. So far, most of the attention has been paid to strong ligands; however, experimental observations indicate that also weaker complexing agents may play a key role in the availability of metals in waters and in the success of the treatment to be applied. In particular, we have analyzed wastewaters of an electroplating facility during an 8-h workday. Total metal content (copper, zinc, cadmium, and lead) was determined; ligands were characterized by concentration (Lt) and strength (conditional stability constant, K'f). This work focuses on ligands of moderate strength which, as far as we know, have been overlooked in the literature.
A two-moderate-ligand system was used to mimic the wastewaters. N-(2-hydroxyethyl)iminodiacetic acid and nitrilotriacetic acid were used as model ligands. Electrochemical titration data (obtained by square wave anodic stripping voltammetry) were analyzed combining the Scatchard linearization method with a standard non-linear curve fitting function to focus on the resolution of two ligand families of similar strength. Correctness was tested both for the analytical procedure and data analysis.
Most significant changes in metal concentration were related to zinc and lead that increased along the workday. Copper and cadmium contents were negligible. The model system and wastewater samples were successfully characterized by this methodology. Two ligand families of constants K'f1 (4.07 ± 0.69 )× 106 and K'f2 (5.56 ± 0.78) × 105 were discriminated in the micromolar range using zinc in the titration of the wastewater sample.
A combined strategy involving electrochemical techniques, the Scatchard linearization, and a non-linear curve fitting function was successfully applied to the model system, within experimental error. Our main goal was to characterize two moderate ligand families of similar strength in the wastewater samples by means of the same strategy, a task that so far has not been described. The combined strategy used in this particular case may be of interest for different environmental matrixes.
- Complexing capacity
- Moderate ligands
- Electroplating bath
The development of industrial activities has intensified concerns about environmental pollution issues. Metal-finishing industries constitute a highly sensitive sector that is responsible for important metal emissions to the environment. Due to ever increasing regulatory driving forces, more stringent and usually more expensive treatment methodologies must be used to achieve lower metal releases to the environment. This issue has forced many industries to pursue “greener” technologies (Baral and Engelken 2002) and to develop better treatment methods.
Electroplating is a widely used technique to protect metal pieces from corrosion. There are different types of electroplating systems. Chromium electroplating and anodizing tanks are among the largest sources of chromium emissions in the USA. However, the use of zinc in electroplating baths is also widespread. The monitoring of additives in electrolytic baths is a fundamental task for proper coatings. Benzylideneacetone (BDA), benzoic acid (BA), and polyethylene glycol 400 (PEG400) are easily found among the additives used in zinc baths (Barriola et al. 2012). Many of these additives can act as metal ligands affecting the efficiency of the recovery and/or wastewater treatment processes. Spent plating baths and some rinsing solutions use conventional treatment methods based on alkaline precipitation, but these processes generate large amounts of hazardous plating sludge that require dumping sites.
When dealing with more diluted solutions, biotreatments mediated by micro-organisms are simple and usually compatible with the development of inexpensive technologies without causing environmental damage. Kumar et al. (2012) reported a 73.21, 68.35, and 70.21 % removal of Cr(VI), Zn(II), and Ni(II) from electroplating industrial wastewater, respectively. They also mentioned that biosorption of metals from wastewater samples was lower compared to a synthetic sample. This fact can be explained since industrial wastewaters usually contain non-negligible amounts of different anions (ligands) that influence the biosorption processes
In the presence of ligands, metals are capable of bonding to form metal complexes of variable strength, keeping metals in solution and affecting metal availability when treatments are to be applied. Aristilde et al. (2012) claim that weak ligands can enhance the bioavailability of trace metals to phytoplankton in the presence of strong chelating agents. Given the apparent lack of specificity of the underlying mechanism, Aristilde expected that this effect could be widely observed in several essential metals and many micro-organisms in the presence of many types of ligands. These observations indicate that not only strong ligands are important, but also that weak complexing agents may play a key role in metal availability in natural waters.
The aim of the present work is to evaluate metal loading and complexing capacity (CC) in wastewaters of an electroplating facility. Samples from a second rinsing bath (SRB) were taken every hour during an 8-h workday. They were analyzed to focus on ligands of moderate strength, which from our point of view have been overlooked in the literature. We consider that they may play an important role in metal availability and in the success of the treatment to be applied. A model system with two ligands of similar strength was used to discriminate between both ligands. For this, a non-linear curve fitting function was applied to the experimental data using a home computer. The same methodology was successfully used to evaluate the CC toward Zn in the SRB samples.
SRB sampling and determination of total metal concentration
It is a general practice that once the electroplating process is finished, each electroplated piece is rinsed by consecutive immersion in two big pools. Effluents from the second pool, the SRB, may be ca. 20 m3 per day (Olivera and Mijangos, 2001) and typically contain metal ions (for example chromium, nickel, cadmium, and zinc) and organic substances such as polyelectrolytes, surfactants, etc. included in the galvanic process. Depending on a variety of parameters such as metal content and pH, these wastewaters should be treated if they do not meet the criteria for disposal (Argentina, Decree PEN 999/92). Eight SRB samples were taken during one workday, in 1-h intervals. Each sample was filtered through a 0.45-μm pore diameter cellulose membrane to avoid the presence of suspended solids, then divided into fractions A and B and stored at −4 °C.
For total metal content determination by square wave anodic stripping voltammetry (SWASV), aliquots of A fractions were previously conditioned to approximately pH 1 adding HNO3 (concentrated, Merck), transferred to PTFE bottles, and exposed to UV radiation for at least 12 h for organic matter oxidation (Campos et al. 2001). Applied voltage in the preconcentration step was −1.1 V for 60 s (Zn[II]) and −0.75 V for 120 s (Cd[II]); the scan range was from −1.2 to −0.10 V for Zn(II) and from −0.8 to –0.25 V for Cd(II). Instrument settings common to both metal determinations were equilibration time 5 s, step potential 5.1 mV, and pulse amplitude 19.95 mV.
Complexing capacity of the SRB: sample conditioning and ASV-monitored titration
B fractions were used to determine complexing capacity (CC). Due to the effect of pH on metal-ligand interactions, it is paramount that the solutions are buffered in a narrow pH range. The choice of the buffer should also consider the absence of interactions between the metal and the buffer components which may modify the metal-ligand equilibrium in the sample. Ceretti et al. (2006) demonstrated that buffer HEPES is suitable for Cd(II) speciation studies. However, the behavior of Zn(II) toward HEPES has not been reported so far.
In the present study, CC was determined from SWASV-monitored titration data. Instrument settings have been described in the previous section.
In the titration, Me' (Me2+ peak current) was measured after increasing additions of the Me2+ standard solution. After every metal spike, solutions were stirred for equilibration, and N2 was bubbled to deoxygenate. A titration curve (Me' vs. added Me2+ concentration) was plotted for each dataset.
We consider that another relevant aspect in CC determination is the fact that ligands must be “free” to interact with the metal ions added during the ASV-monitored titration. For this purpose, ligands need to be released from the metal complexes existing in the sample. Sixty milliliters of each sample was supplemented with HEPES and KNO3 (final concentration 0.05 M in each compound), equilibrated with 0.2 g Chelex 100 for 4 h in an orbital shaker (25 °C, 200 rpm), and filtered through a 0.45-μM pore diameter cellulose membrane. Chelex 100 is a cationic resin that has proved effective for metal removal including cadmium and zinc (Manouchehri and Bermond 2006, Leung et al. 2008 and Ceretti et al. 2010). The amount of resin to be employed was calculated considering wet resin capacity and total metal content. The effectiveness of the resin treatment was verified by total metal concentration determined through SWASV on sample 8 (S8), collected at the end of the workday, before and after Chelex 100 treatment. Results showed that more than 99 % zinc and lead had been removed.
Model solutions containing a mixture of HIDA and NTA (two-ligand-model system) were also evaluated for CC by SWASV.
The problem—temporal characterization of a SRB
Metal-ligand interactions can be characterized through determining total ligand concentration (Lt) and the conditional stability constant (K'f). Both parameters are referred to as complexing capacity (CC). Determination of Lt and K'f (which depends on the specific metal) can be achieved with a variety of techniques (Pesavento et al. 2009), among which SWASV is one of the most used.
The titrations were performed at pH = 7.5 (buffer HEPES) to obtain information on zinc speciation at this pH. This is an intermediate value in the wastewater disposal range. It is a common practice to perform the Ruzic and/or Scatchard linearization with the experimental datasets of the titration curves to better estimate Lt and K'f (Oldham et al. 2014, Abdelraheem et al. 2013, Bundy et al. 2013). For each sample, Lt and K'f were determined from the slopes of the Ruzic (1982) and Scatchard (1949) linearizations, respectively. Figure 2b shows the Scatchard linearization for sample S2. Two different slopes were clearly seen, indicating the presence of two ligand families in the SRB.
K'f and ligand concentration of second rinsing bath samples
SRB use, hs
3.29 × 105
6.11 × 106
3.43 × 106
4.46 × 107
9.59 × 104
6.67 × 106
5.74 × 106
2.49 × 107
5.17 × 105
1.09 × 107
2.44 × 106
3.09 × 107
1.10 × 107
3.58 × 106
3.68 × 107
Searching for answers—the use of model systems
To shed light on the resolution of two ligand families of similar strength, HIDA and NTA were selected for an electrochemical characterization of both K'f and Lt using Cd as titrant. Both ligands used as models form moderate complexes with Cd (Martell and Smith 2010), with K'f values less than two orders apart.
In the case of the Cd-HIDA, fitting of Lt resulted in 3.86 ± 0.17 μM, and K'f was (9.37 ± 0.46) × 105. Taking into account that the actual concentration of the solution was 3.75 μM and K'f was 1.38 × 106 (calculated from literature data, pH = 7.5), the agreement between expected and fitted values was good.
Cd-NTA complex was previously characterized using an ASV-monitored titration (Ceretti et al. 2006). This complex exhibits an electrochemically labile behavior that is seen as a shift of Cd(II) peak potential as Cd(II) concentration increases (Van Leeuwen et al. 1989). The Ruzic and Scatchard linearizations as well as the Origin fitting results for Lt—3.78 ± 0.04 and 3.61 ± 0.10 μM, respectively—were in good agreement with the actual NTA concentration. K'f for NTA-Cd was 6.24 × 107. In this case, the experimental values were (7.91 ± 0.26 )× 106 (Ruzic and Scatchard approach) and (5.29 ± 0.65) × 106 (non-linear curve fitting), probably due to the labile behavior previously described (Van Leeuwen et al. 1989).
K'f and ligand concentration values obtained from the model system containing HIDA and NTA
Ruzic and Scatchard linearizations
Non-linear curve fitting
K'f = 1.38 × 106a
(4.49 ± 0.95) × 105
2.81 × 105
Lt = 2.99 μM
4.54 ± 0.32 μM
3.06 ± 0.21 μM
K'f = 6.24 × 107a
(3.31 ± 0.97) × 106
6.01 × 106
Lt = 0.89 μM
1.78 ± 0.12 μM
1.05 ± 0.31 μM
K'f values for both Cd-HIDA and Cd-NTA are in agreement in any procedure. However, the Ruzic and Scatchard linearizations always yield higher ligand concentrations. This trend was also observed in all titrations performed with different proportions of ligand concentrations keeping the same total value (nearly 4 μM). Thus, the non-linear curve fitting function gives a better description of a mixture of two 1:1 complexes of one metal, which renders a better characterization regarding Lt for the ligand families with no meaningful variation in K'f. However, it is necessary to decide the number of existing ligand families before applying a non-linear curve fitting to a general case. We suggest analyzing the titration data using the Scatchard linearization and then applying non-linear curve fitting to get the best quantitative description of the sample through K'f and Lt.
Dealing with ligands in the SRB
Since Zn(II) is the most concentrated metal in the SRB (in the millimolar range), all B fractions were characterized for Lt and K'f using Zn(II) as titrant in the ASV-monitored titration.
Chemicals and reagents
Chelex 100 (sodium form, 100–200 mesh, biotechnological grade, wet capacity 40 meq/mL) was obtained from Bio-Rad Laboratories, Inc. Cd2+ and Zn2+ standard solutions were prepared from a certified 1000 ppm solution (Merck Certipur). NaNO3 (Aldrich, 99.99 + %) was used as supporting electrolyte. HEPES (Aldrich) (N-[2-hydroxyethyl]piperazine-N′-[2-ethansulfonic acid], pKa = 7.5) was used in the preparation of 0.05 M buffer solutions, also containing 0.05 M NaNO3. pH was adjusted with HCl (Merck). HIDA (N-(2-hydroxyethyl)iminodiacetic acid, Sigma) and NTA (nitrilotriacetic acid, Sigma) were used as model ligands. Water (18.2 MΩ cm−1) was obtained from Millipore Simplicity equipment.
SWASV measurements were performed with an Autolab PGSTAT10 (EcoChemie, software GPES version 4.9) and a Metrohm 663 VA polarographic stand (hanging mercury drop electrode mode). All potentials were measured against a Ag/AgCl reference electrode (3 M KCl).
Zinc, lead, cadmium, and copper were detected in the SRB samples. The most important changes in metal concentration were related to zinc and lead, which increased along the working day.
A combined strategy involving electrochemical techniques (SWASV), the Scatchard linearization, and a non-linear curve fitting function was applied to a model system of two ligand families of similar strength. The number of ligand families, the concentration (Lt), and the strength of the metal-ligand interaction (K'f) were successfully determined within experimental error. The same strategy was applied to characterize the complexing capacity of the SRB using Zn(II) as a representative metal of this electroplating process.
The authors thank Agencia Nacional de Promoción Científica y Tecnológica (PICTO 36782) and Universidad Nacional de General Sarmiento for financial support.
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- Abdelraheem WHM, Komy ZR, IsmailNM (2013) Electrochemical determination of Cu2+ complexation in the extract of E. crassipes by anodic stripping voltammetry. Arabian Journal of Chemistry. http://dx.doi.org/10.1016/j.arabjc.2013.01.019
- Aristilde L, Xu Y, Morel FMM. Weak organic ligands enhance zinc uptake in marine phytoplankton. Environ Sci Technol. 2012;46:5438–45.View ArticleGoogle Scholar
- Baral A, Engelken RD. Chromium-based regulations and greening in metal finishing industries in the USA. Environ Sci Policy. 2002;5:121–33.View ArticleGoogle Scholar
- Barriola A, Ostra M, Ubide C. Gas chromatography with flame ionization detection for determination of additives in an electrolytic Zn bath. J Chromatogr A. 2012;1256:246–52.View ArticleGoogle Scholar
- Bundy RM, Barbeau KA, Buck KN. Sources of strong copper-binding ligands in Antarctic Peninsula surface waters. Deep Sea Research Part II: Topical Studies in Oceanography. 2013;90:134–46.View ArticleGoogle Scholar
- Campos M, Mello L, Zanette DAM, et al. Construção e otimização de um reator de baixo custo para a fotodegradação da matéria orgânica em águas naturais e sua aplicação no estudo da especiação do cobre por voltametria. Quím Nova. 2001;24:257–61.View ArticleGoogle Scholar
- Ceretti HM, Vullo DL, Zalts A, Ramírez SA. Cadmium complexation in culture media. Electroanal. 2006;18(5):493–8.View ArticleGoogle Scholar
- Ceretti HM, Vullo DL, Zalts A, Ramírez SA. Effect of bacterial growth in the complexing capacity of a culture medium supplemented with cadmium(II). World J Microb Biot. 2010;26:847–53.View ArticleGoogle Scholar
- Kumar R, Bhatia D, Singh R, Bishnoi NR. Metal tolerance and sequestration of Ni(II), Zn(II) and Cr(VI) ions from simulated and electroplating wastewater in batch process: kinetics and equilibrium study. Int Biodeter Biodegr. 2012;66:82–90.View ArticleGoogle Scholar
- Leung KMY, Furness RW, Svavarssonb J, Lau TC, Wu RSS. Field validation, in Scotland and Iceland, of the artificial mussel for monitoring trace metals in temperate seas. Mar Pollut Bull. 2008;57:790–800.View ArticleGoogle Scholar
- Manouchehri N, Bermond A. Study of trace metal partitioning between soil-EDTA extracts and Chelex-100 resin. Anal Chim Acta. 2006;557:337–43.View ArticleGoogle Scholar
- Martell E, Smith RM (2010) NIST Standard Reference Database 46. NIST Critically Selected Stability Constants of Metal Complexes: Version 8.0. http://www.nist.gov/srd/nist46.cfm. Accessed 3 Feb 2016.
- Oldham VE, Swenson MM, Buck KN. Spatial variability of total dissolved copper and copper speciation in the inshore waters of Bermuda. Mar Pollut Bull. 2014;79:314–20.View ArticleGoogle Scholar
- Olivera ME, Mijangos J (2001) Programa de vigilancia y control. Contaminación hídrica industrial. Estudio de caso: Establecimientos Potencialmente Generadores de Metales Pesados Área Metropolitana. www.caru.org.uy/web/sub_calidad_aguas/tercer_seminario_calidad_aguas_13.pdf. Accesed 3 Feb 2016.
- Pesavento M, Alberti G, Biesuz R. Analytical methods for determination of free metal ion concentration, labile species fraction and metal complexation capacity of environmental waters: a review. Anal Chim Acta. 2009;631:129–41.View ArticleGoogle Scholar
- Ruzic I. Theoretical aspects of the direct titration of natural waters and its information yield for trace metal speciation. Anal Chim Acta. 1982;140:99–113.View ArticleGoogle Scholar
- Scarponi G, Capodaglio G, Barbante C, Cescon P. The anodic stripping voltammetric titration procedure for study of trace metal complexation in seawater. In: Caroli S, editor. Elemental Speciation in Bioinorganic Chemistry. Chichester: Wiley; 1996.Google Scholar
- Scatchard G. The attractions of proteins for small molecules and ions. Annals of the New York Academy of Sciences. 1949;51:660–72.View ArticleGoogle Scholar
- Van Leeuwen H, Cleven R, Buffle J. Voltammetric techniques for complexation measurements in natural aquatic media. Pure Appl Chem. 1989;61:255–74.Google Scholar