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Catalyst displacement assay: a supramolecular approach for the design of smart latent catalysts for pollutant monitoring and removal

Cheuk-Fai Chow*ab, Pui-Yu Hoc, Wing-Leung Wong*c, Yu-Jing Lud, Qian Tangab and Cheng-Bin Gong*ab
aDepartment of Science and Environmental Studies, The Education University of Hong Kong, 10 Lo Ping Road, Tai Po, Hong Kong SAR, China. E-mail: cfchow@eduhk.hk; Fax: +86 852 29487676; Tel: +86 852 29487671
bCollege of Chemistry and Chemical Engineering, Southwest University, Chong Qing, China
cCentre for Education in Environmental Sustainability, The Education University of Hong Kong, 10 Lo Ping Road, Tai Po, Hong Kong SAR, China
dInstitute of Natural Medicine and Green Chemistry, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, P. R. China

Received 21st December 2016 , Accepted 1st March 2017

First published on 2nd March 2017


Latent catalysts can be tuned to function smartly by assigning a sensing threshold using the displacement approach for targeted analytes. Three cyano-bridged bimetallic complexes were synthesized as “smart” latent catalysts through the supramolecular assembly of different metallic donors [FeII(CN)6]4−, [FeII(tBubpy)(CN)4]2−, and FeII(tBubpy)2(CN)2 with a metallic acceptor [CuII(dien)]2+. The investigation of both their thermodynamic and kinetic properties on binding with toxic pollutants provided insight into their smart off–on catalytic capabilities, enabling us to establish a threshold-controlled catalytic system for the degradation of pollutants such as cyanide and oxalate. With these smart latent catalysts, a new catalyst displacement assay (CDA) was demonstrated and applied in a real wastewater treatment process to degrade cyanide pollutants in both domestic (level I, untreated) and industrial wastewater samples collected in Hong Kong, China. The smart system was adjusted to be able to initiate the catalytic oxidation of cyanide at a threshold concentration of 20 μM (the World Health Organization’s suggested maximum allowable level for cyanide in wastewater) to the less harmful cyanate under ambient conditions.


Introduction

The development of “smart” catalysts for process monitoring and reaction control is highly important in modern chemistry. In particular, a smart catalyst that is able to execute a specific task under certain conditions would be very attractive. Different from traditional catalysts that initiate a reaction once the reactants are present, this type of catalyst would provide extra benefits for certain industrial processes such as contaminant removal during water treatment. Traditionally, chemists have focused on catalyst use to increase rates, yields, and/or the stereo-selectivity of reactions.1 However, it is possible that catalysts could be made “smarter” with the incorporation of extra control parameters, such as introducing an analyte-selective receptor which is also an inhibitor of the catalyst, so that the catalyst can only function when a specific analyte exists under certain conditions. This sort of smart catalyst is rarely found in the literature, although it could be rationally designed to associate with an inhibitor and be temporarily deactivated, but readily re-activated in the presence of a specific trigger or an initiator to start the targeted reaction under given conditions such as concentration, temperature, or pH. Recently, several catalytic systems demonstrated a portion of this “smart off–on” function for controlling targeted reactions, which led to very interesting reaction outcomes.2 A switch-based negative feedback loop, demonstrated with zinc(II) ion coordination-coupled deprotonation of a hydrazine, is a typical example of a smart control system, in which a particular threshold of zinc(II) causes the release of a certain concentration of protons to the environment to trigger a cascade of reactions.2j Based on these ideas, we conjectured that a further advancement of the “off–on” approach would be the introduction of a threshold-controlled function into the catalysts. The advancement demonstrated in this study overcomes the limitations of simple “catalyst-inhibitor” systems, arising from their simple off–on designs: i.e., they lack a mechanism to control the initiation threshold, so that the catalytic reaction will ensue in the presence of small amounts of initiator without having reached a specific initiator threshold.

The catalyst displacement assay (CDA) is a useful protocol for developing smart latent catalytic systems, particularly in chemical or waste treatment applications, because chemical toxicity depends on dosage. For example, cyanide (CN) is well known for its high toxicity and has been identified as one of the most serious threats toward the environment and human life. Nevertheless, it is widely used in gold mining, electroplating, and the production of synthetic fibers.3 Considering its industrial importance as well as its adverse effects, the World Health Organization has suggested maximum allowable levels of cyanide in wastewater, fresh water (class III), and drinking water of 0.5, 0.2, and 0.05 mg L−1, respectively.4 The elimination of cyanide is therefore only required when its levels exceed these thresholds. The removal of cyanide in aqueous solution by oxidation has been well studied with oxidants in the presence of various catalysts such as TiO2,5 Cu(I)/Cu(II) transition metal complexes6 and Fe(II)–Cu(II) bimetallic complexes.18a Nonetheless, these systems are not “smart” enough to begin functioning under a specific set of conditions. In recent years, the molecular design and synthesis of chemosensing systems specifically for cyanide recognition or determination have been reported.7a–d Some of these molecular systems are indicator displacement assays (IDA), which show sensing properties with good selectivity and signal changes upon binding with CN in solution.7e–j IDA involves specific analyte competition, which causes the displacement of the indicator from the receptor and gives off–on signals. The advantage of an IDA system is that the selectivity and sensitivity can be adjusted by tuning the thermodynamics of the ensemble. A number of IDA sensing systems8–11 are well-established for the determination of anions,8a,b,9a,b,10a–e,11b,c neutral organic molecules,11d,e zwitterions,8c,d,9c,d,11a and other molecules;8e however, there are no examples of IDA systems showing smart properties that can effect a catalytic reaction under pre-set conditions.

On the basis of IDA systems, we attempted to establish a CDA system based on supramolecular donor–acceptor complexes which would feature a smart system that could selectively recognize a target analyte (a pollutant like CN), after which a pre-set catalytic reaction would be automatically performed under given conditions. With the new CDA system design, the catalyst is controllably activated when the analyte level reaches a certain threshold to start a catalytic reaction. In this study, we demonstrate that a threshold, and the off/on control parameter, can be rationally adjusted by understanding the thermodynamic and kinetic properties of the cleavage processes in the donor–acceptor complexes. Both the thermodynamic and kinetic characteristics are crucial factors in deriving a CDA system that could generate a number of advantages for chemical processes—including the reduced or minimized use of reagents, costly catalysts, energy, and manpower—which cannot be provided by traditional chemical reactions or catalytic systems.

Experimental section

Materials and general procedures

4,4′-Di-tert-butyl-2,2′-bipyridine (tBubpy), diethylenetriamine (dien), K4[Fe(CN)6], potassium oxalate, and potassium cyanide were obtained from Aldrich. Complexes K2[FeII(tBubpy)(CN)4],12 FeII(tBubpy)2(CN)2,13 and CuII(dien)Cl2 (ref. 14) were prepared according to reported methods.

Physical measurements and instrumentation

Electrospray ionization mass spectrometry (ESI-MS) was performed using an AB SCIEX API 2000 LC/MS/MS system. Elemental analyses were conducted using a Vario EL CHN analyzer. Infrared spectra in the 500–4000 cm−1 range using KBr pellets were recorded using a Perkin Elmer Model Frontier FTIR spectrometer, and UV-vis spectra were measured on a Cary 50 ultraviolet-visible spectrophotometer. Dissolved organic carbon was recorded using a Shimadzu TOC-L CSH High-Sensitivity Total organic Analyzer. Emission spectra were recorded using a Horiba FluoroMax-4 spectrofluorimetric with a 5 nm slit width and a 0.5 s integration time. Broad-band UV irradiation was provided by a 500 W Hg(Xe) light source (Model 66485) with a digital power supply system (Model 69911) by Newport Inc.

UV-vis spectroscopic titrations

Analytical grade DMF used in the UV-vis spectroscopic titrations was purified by distillation. Titrations of K4[FeII(CN)6] (3.3 × 10−4 M) by CuII(dien)Cl2 (0 to 2 × 10−5 M) were conducted in HEPES buffer at pH 7.4. While titrations of K2[FeII(tBubpy)(CN)4] (5 × 10−5 M) by CuII(dien)Cl2 (0 to 2 × 10−4 M) and FeII(tBubpy)2(CN)2 (5 × 10−5 M) by CuII(dien)Cl2 (0 to 1 × 10−4 M) were carried out in a mixture of aqueous HEPES buffer (1.50 mL, pH 7.4) with DMF(1.50 mL). UV-vis spectroscopic titrations of CuII(dien)Cl2 (5 × 10−4 M) with oxalate (0 to 1 × 10−3 M) were carried out in aqueous phosphate buffer pH 4. All measurements were taken after standing for 12 h to ensure their equilibria were reached. Binding constants (log[thin space (1/6-em)]K) and formation energies (ΔG/kJ mol−1) were analyzed according to the Benesi–Hildebrand equations15,16 from the UV-vis spectroscopic titrations.

Kinetic measurements: cleavage of cyano-bridges between the FeII and CuII metal centers of 1–3 by cyanide

The experimental procedure for the rate constant measurements was performed according to previous studies.17 Except for the reaction of complex 1, which was performed in pH 7.4 HEPES buffer, all reactions were performed in DMF/pH 7.4 HEPES buffer (1[thin space (1/6-em)]:[thin space (1/6-em)]1 v/v). By mixing a known amount of cyanide solution (2.5 × 10−3 to 1.25 × 10−2 M) with the test solutions containing 2.5 × 10−4 M complex at 25 °C, the changes in the absorbance due to the addition of cyanide were measured at different time intervals. All kinetics measurements were conducted under ambient conditions.

Oxidation of cyanide to cyanate with complexes 1–3 as catalysts

All experiments were conducted in a 40 mL boiling tube in the absence of light, and the test solutions (15.0 mL) were stirred during the experiments. The concentration of H2O2 was 6.53 mM, and the concentrations of complexes 1, 2, and 3 were 0.1, 0.1, and 0.2 mM, respectively. Different initial concentrations of cyanide (0 to 1000 μM) were used in the studies. The concentrations of CN and NCO in the test solutions were measured at regular intervals using previously reported analytical methods.18a

Photocatalytic degradation of oxalate to CO2 by complex 1 as catalyst

All experiments were conducted in a 50.0 mL volumetric flask with a 500 W Hg(Xe) ultraviolet-visible lamp (Newport) irradiation source. The experimental setup was completely shielded from surrounding light. The distance between the lamp and test solution was about 25 cm. A water bath was placed between the lamp and test solution to absorb heat generated by the UV irradiation. Prior to irradiation, the pH of the test solution was adjusted to 1.5 with HCl/KCl buffer. Generally, during the photocatalytic experiments, a test solution (50.0 mL) containing complex 1 (6.25 × 10−4 M) and H2O2 (0.4 M) was irradiated while the oxalate concentration was varied from 6.25 × 10−4 to 3.125 × 10−2 M. The dissolved organic carbon (DOC) in the system was determined at regular intervals to evaluate catalytic efficiency.18b

Synthesis and characterization

[FeII(CN)6]–[CuII(dien)(H2O)]2 (1). The complex was synthesized by modification of the reported method.19 A mixture of K4[FeII(CN)6] (1.00 g, 2.37 mmol) and CuII(dien)Cl2 (0.56 g, 2.37 mmol) was stirred in a water/methanol mixture (1[thin space (1/6-em)]:[thin space (1/6-em)]1 v/v, 25 mL) at room temperature overnight. The green precipitate obtained by filtration was washed with deionized (DI) water and acetone, and then air-dried. Yield: 0.54 g (84.5%). IR (KBr): νC[triple bond, length as m-dash]N = 2039, 2047, 2103 cm−1. ESI-MS (MeOH, +ve mode): m/z 544.8 {[Fe(CN)6][CuII(dien)]2}H+ (mass = 545.0 g mol−1; charge = +1); elemental analysis calcd (%) for C14Cu2FeH26N12·4H2O (1): C 27.23; H 5.55; N 27.22; found: C 27.29; H 5.52; N 26.95.
[FeII(tBubpy)(CN)4]–[CuII(dien)Cl]2 (2). The complex was synthesized following the reported method.18 A mixture of K2[Fe(tBubpy)(CN)4] (0.115 g, 0.2 mmol) and CuII(dien)Cl2 (0.05 g, 0.2 mmol) was stirred in a water/methanol mixture (1[thin space (1/6-em)]:[thin space (1/6-em)]1 v/v, 5 mL) at room temperature overnight. The brown precipitate obtained upon centrifugation was washed with DI water and acetone, and then air-dried. Yield: 0.069 g (83.1%). IR (KBr): νC[triple bond, length as m-dash]N = 2059, 2084, 2103, 2114 cm−1. ESI-MS (MeCN, +ve mode): m/z 380.1 {Fe(tBubpy)(CN)4[CuII(dien)]2}2+ (mass = 760.2 g mol−1; charge = +2); elemental analysis calcd (%) for C30Cl2Cu2FeH50N12 (2): C 43.27; H 6.05; N 20.19; found: C 43.22; H 6.10; N 20.10.
{[FeII(tBubpy)2(CN)2]2–[CuII(dien)]}Cl2 (3). A mixture of FeII(tBubpy)2(CN)2 (0.10 g, 0.16 mmol) and CuII(dien)Cl2 (0.038 g, 0.16 mmol) was stirred in methanol (25 mL) at room temperature overnight. The reddish brown solid obtained after evaporation was washed with chloroform, DI water, and acetone, and then air-dried. Yield: 0.0745 g (61.1%). IR (KBr): νC[triple bond, length as m-dash]N = 2068, 2082 cm−1. ESI-MS (MeOH, +ve mode): m/z 726.9 {[Fe(tBubpy)2(CN)2]2CuII(dien)}2+ (mass = 1454.70 g mol−1; charge = +2); elemental analysis calcd (%) for C80Cl2Cu1Fe2H109N15·CH3C(O)CH3 (3): C 62.81; H 7.62; N 11.94; found: C 63.52; H 7.62; N 11.73.

Results and discussion

Syntheses of bimetallic complexes 1–3

Metallic donors (MD) coordinated with a bridging ligand such as the commonly used –CN, –NCS, or –NCO ligands are able to bond with a metallic acceptor (MA) to form a desirable bimetallic complex of the form MD–bridge–MA. Through this supramolecular assembly, bimetallic complexes can be designed to achieve desired functionalities which are not offered by the individual mono-metallic precursors (MD or MA). We studied a series of bimetallic complexes containing a cyano-bridge, MD–C[triple bond, length as m-dash]N–MA, where MD = ReI, FeII, RuII, or OsII; and MA = NiII, CuII, PtII, or LnIII.11 Interestingly, the strength of the bridging bond between the metal centers is adjustable and depends on the combination of MD and MA. Therefore, by regulating the two metal centers connected by the cyano-bridge, a bimetallic complex with specific functionality can be tailored. In this study, MD, functioning as an inhibitor, was introduced into a catalyst MA to generate a CDA system with an “off–on” function in which a catalytic oxidation reaction could be triggered when a certain concentration of cyanide ions was present in the solution. The influence of the thermodynamic and kinetic properties of the cyano-bridges of the bimetallic complexes on the control of the off–on and threshold operation of the catalyst was then illustrated comprehensively.

Bimetallic complexes 1–3 shown in Scheme 1 were synthesized with the metallic acceptor CuII(dien)Cl2 and the latent catalyst donors K4[Fe(CN)6], K2[FeII(tBubpy)(CN)4], and Fe(tBubpy)2(CN)2. All three bimetallic complexes were isolated as air-stable solids and were characterized by IR spectroscopy, electrospray ionization mass spectrometry (ESI-MS), and elementary CHN analysis. The three cyano–ferrous complexes, K4[FeII(CN)6], K2[FeII(tBubpy)(CN)4], and FeII(tBubpy)2(CN)2, were designed systematically as the MD species because they are able to participate in coordinating cyano bridging with other metal complexes to form bimetallic complexes, whereas [CuII(dien)]Cl2 was selected as the model acceptor MA because it can catalyze the oxidation of organic/inorganic pollutants such as oxalate and cyanide ions. We expected the strengths of the cyano-bridges of the three bimetallic complexes to be different due to the variation of the charge densities among the ferrous MD from −4, −2, to 0. The cyano bridge activities of the bimetallic complexes 1–3 significantly impact their thermodynamics and kinetics, which are considered as the determinant for the threshold of a smart catalytic system.


image file: c6sc05584b-s1.tif
Scheme 1 Bimetallic complexes 1–3 used as the CDA systems.

The formation of cyano-bridges between the MD and MA units in the bimetallic complexes was confirmed using IR spectroscopy, as shown in Table 1. In general, all the νC[triple bond, length as m-dash]N stretching frequencies observed in 1–3 are red shifted with respect to their precursor cyano–ferrous complexes, and the degrees of the shift vary by 2, 29, and 60 cm−1, respectively. These changes can be attributed to the electron density differences among the MD complexes, FeII(tBubpy)2(CN)2, [FeII(tBubpy)(CN)4]2−, and [FeII(CN)6]4−.

Table 1 IR spectroscopic study of the cyano-stretching frequencies (νC[triple bond, length as m-dash]N) of complexes 1–3 and their precursor complexes
Entry Complexes νC[triple bond, length as m-dash]N (cm−1)
1 [FeII(CN)6]–[CuII(dien)]2 (1) 2039, 2047, 2103
2 [FeII(tBubpy)(CN)4]–[CuII(dien)Cl]2 (2) 2059, 2084, 2103, 2114
3 {[FeII(tBubpy)2(CN)2]2–[CuII(dien)]}Cl2 (3) 2068, 2082
4 K4[FeII(CN)6] 2030, 2043
5 K2[FeII(tBubpy)(CN)4] 2053, 2067, 2085
6 FeII(tBubpy)2(CN)2 2080


In the syntheses of the bimetallic complexes, 1[thin space (1/6-em)]:[thin space (1/6-em)]1 molar ratios of the FeII and CuII starting materials were used in all cases. Interestingly, however, the compositions of supramolecular structures 1–3 contained FeII/CuII ratios of 1[thin space (1/6-em)]:[thin space (1/6-em)]2, 1[thin space (1/6-em)]:[thin space (1/6-em)]2, and 2[thin space (1/6-em)]:[thin space (1/6-em)]1, as verified by ESI-MS, spectroscopic titration studies, and CHN elemental analysis. As shown in Fig. 1, 1–3 show peaks at m/z = 544.8, 380.1, and 726.9, representing {[FeII(CN)6]–[CuII(dien)]2}H+, {[FeII(tBubpy)(CN)4]–[CuII(dien)]2}2+, and {[FeII(tBubpy)2(CN)2]2–[CuII(dien)]}2+, respectively. The elemental analysis results for 1–3 also matched the proposed structures. In addition, the binding isotherms (Fig. S1–S3, (ESI)) obtained by the titration of CuII(dien)Cl2 solution with K4[FeII(CN)6], K2[FeII(tBubpy)(CN)4], and FeII(tBubpy)2(CN)2, respectively, show that the bimetallic complexes 1–3 are formed in the solution in the above FeII/CuII ratios.15


image file: c6sc05584b-f1.tif
Fig. 1 ESI-MS spectra of the isotopic distribution of (a) complex 1, (b) complex 2, and (c) complex 3: and (inset) simulations based on their molecular formulas. All of the experiments were conducted in DI water/methanol.

Thermodynamic and kinetic investigations of the CDA system

In the design of a CDA, a catalyst should first be bound temporarily to an inhibitor. CuII complexes have been well studied as active catalysts for the oxidation of cyanide using H2O2 as the oxidant.18a,20 However, the catalytic activity is inhibited when the CuII-centers are bridged to FeII-centers with a ligand (C[triple bond, length as m-dash]N) in the form of bimetallic complexes.18a The Cu-catalyst at this stage is de-activated as it is bridging with its metallic counterpart. When a competitive analyte, i.e., the reactant, is introduced into the system, it causes the displacement of the catalyst from the inhibitor, thus freeing it.18a At this stage, the Cu-catalyst is activated to execute its catalytic function under the given conditions. For the present CDA system ([(L)x(CN)yFeII–C[triple bond, length as m-dash]N–CuII(dien)], Scheme 2), the study of the coordination with cyano-bridges between the FeII and CuII metal centers allows us to understand the thermodynamic and kinetic properties of these bimetallic systems. These investigations were conducted using cyanide as the model analyte.
image file: c6sc05584b-s2.tif
Scheme 2 Proposed mechanism for the overall CDA process. The release of the active catalyst is triggered by cyanide/oxalate in solution, which then catalyzes the oxidation of free cyanide/oxalate to the products cyanate/carbon dioxide, respectively. The development of the colored solution from the Fe(CN)2(L)4 complex indicates the reaction has taken place.

To understand the thermodynamic properties of the CDA, the Gibbs free energy changes (ΔG0) between MD and MA of 1–3 were found and calculated as −30.4, −25.3, and −15.1 kJ mol−1, respectively (Table 2). The ΔG0 value of the adduct between CuII(dien)2+ and CN (−37.9 kJ mol−1) is more stable relative to those of bimetallic systems 1–3. By comparing these four ΔG0 values, we predicted that when CN is introduced into the bimetallic systems (1, 2, or 3), it would displace the CuII(dien)2+ unit from its ferrous partner by breaking the cyano-bridges, because the formed [CN–CuII(dien)]+ adduct is more stable than the precursor. Fig. 2a–c show evidence of breaking the cyano-bridges of complexes 1–3 by showing the restoration of the spectroscopic properties of [FeII(CN)6]4−, [FeII(tBubpy)(CN)4]2−, and FeII(tBubpy)2(CN)2 upon the addition of cyanide to 1–3, respectively. Most importantly, through cleaving the cyano-bridges upon the addition of cyanide to 1–3, the corresponding displaced CuII-complex [CuII(dien)(CN)]+ (m/z 192.0 [M]+) was found and identified by ESI-MS spectroscopic analysis (Fig. S4a).

Table 2 Binding constants (log[thin space (1/6-em)]K) and Gibbs free energy changes (ΔG0) for the complexation of cyanide anion and different FeII species to the [CuII(dien)]2+ complex
  Acceptor Donor log[thin space (1/6-em)]K a ΔG0a/kJ mol−1
a Binding strengths were measured by UV spectroscopic titration and calculated using the Benesi–Hildebrand equations. Except entry 1, which was performed in aqueous phosphate buffer at pH 4, all reactions were performed in aqueous DMF (1[thin space (1/6-em)]:[thin space (1/6-em)]1 v/v, 1.50 mL aqueous HEPES buffer at pH 7.4 + 1.50 mL DMF) at 298 K.b log[thin space (1/6-em)]K and ΔG0 data are cited from ref. 11b and 18a.
1 [CuII(dien)Cl2] Oxalate (HOOC–COO–) 6.84 −39.0
2 [CuII(dien)(ClO4)](ClO4) CN– 6.64b −37.9b
3 [CuII(dien)Cl2] K4[FeII(CN)6] 5.32 −30.4
4 [CuII(dien)Cl2] K2[FeII(tBubpy)(CN)4] 4.44 −25.3
5 [CuII(dien)Cl2] FeII(tBubpy)2(CN)2 2.65 −15.1



image file: c6sc05584b-f2.tif
Fig. 2 UV-vis spectroscopic titration curves of (a) 1, (b) 2, and (c) 3 with CN. Addition of cyanide anions to 1–3 restored the characteristic spectroscopic properties of [FeII(CN)6]4−, [FeII(tBubpy)(CN)4]2−, and FeII(tBubpy)2(CN)2, respectively. All of the titrations were examined in aqueous DMF (1[thin space (1/6-em)]:[thin space (1/6-em)]1 v/v, 1.50 mL aqueous HEPES buffer at pH 7.4 + 1.50 mL DMF) at 298 K with complex concentrations of 1 × 10−4 M and CN concentrations from 0 to 2.0 × 10−4 M.

We believe that the displacement of the CuII-complex (through bridge cleavage by the target analyte) from the bimetallic systems is not only controlled by the above-mentioned thermodynamic factors, but also that the different displacement kinetics of the systems could provide “smart” deactivation–activation functions which would enable us to establish a CDA system. To prove this concept, kinetic studies were conducted on the rates of cyano-bridge cleavage between the FeII and CuII metal centers in the bimetallic systems by cyanide. Fig. 3 shows that the rate constants for cyano-bridge cleavage in 1–3 by cyanide were determined to be 18.8, 32.0, and 58.3 M−1 s−1, respectively. The results indicate that complex 3 is the fastest to release the Cu-catalyst for the oxidation reaction. The rates of cyanate formation with 1–3 were found to increase with respect to their decreasing ΔG0 (1–3 = −30.4, −25.3 and −15.1 kJ mol−1, respectively) and also in line with the rate constants for the cyano-bridge cleavage of 1–3 by cyanide ions (18.8, 32.0, and 58.3 M−1 s−1 Fig. 3). The rate constant of cyanate formation from the oxidation of cyanide with H2O2 as the oxidant under the catalytic action of CuII was reported as 249.5 M−1 s−1 (Fig. S5).21 The results reveal that the cleavage of the cyano-bridge between the metallic donor and acceptor to release the CuII complex (Scheme 2: 1st step of the overall CDA process) is the rate determining step, whereas the 2nd step of the process, the catalytic oxidation of cyanide, is faster.


image file: c6sc05584b-f3.tif
Fig. 3 Kinetic plots of the apparent association rate constant kobs (s−1) versus cyanide concentration. The rate constant values were calculated from the slopes of the curves (y = mx; 1 = 18.8 M−1 s−1; 2 = 32.0 M−1 s−1; and 3 = 58.3 M−1 s−1).

Threshold-controlled catalytic properties of the CDA system

For the investigation of the smart threshold-controlled properties of the CDA, the initial test solutions containing cyanide, H2O2, and 1, 2 or 3 in a molar ratio of 10[thin space (1/6-em)]:[thin space (1/6-em)]65[thin space (1/6-em)]:[thin space (1/6-em)]1 in buffered aqueous DMF solution were prepared for the analyses. The concentrations of CN and NCO in the test solutions were measured under ambient conditions.17,20d Fig. 4a shows that all the complexes could catalyze the oxidation of cyanide to cyanate quantitatively within 150 min with H2O2 as the oxidant. Control experiments in the absence of the complexes or H2O2 revealed that no cyanide was oxidized to cyanate throughout the period. On the other hand, in the reaction using CuII(dien)Cl2 instead of the bimetallic complexes under the same conditions, cyanide was quantitatively oxidized to cyanate. This confirmed that the CuII-complex is the active catalyst in the oxidation reaction.
image file: c6sc05584b-f4.tif
Fig. 4 (a) Formation of cyanate from the oxidation of cyanide (1 mM) in the presence of 1 (image file: c6sc05584b-u1.tif), 2 (image file: c6sc05584b-u2.tif), and 3 (image file: c6sc05584b-u3.tif) against time. The formation of cyanate in the absence of H2O2 (image file: c6sc05584b-u4.tif) or catalyst (image file: c6sc05584b-u5.tif) concentration. All of the experiments were performed with a 10[thin space (1/6-em)]:[thin space (1/6-em)]65[thin space (1/6-em)]:[thin space (1/6-em)]1 molar ratio of cyanide, H2O2, and the “CuII(dien)2+” of 1, 2, or 3 at room temperature in an ambient atmosphere. Formation of cyanate in the presence of (b) 1, (c) 2, and (d) 3 with respect to different initial concentrations of cyanide versus time. All of the experiments were performed with a 65[thin space (1/6-em)]:[thin space (1/6-em)]2 molar ratio of H2O2 (6.53 mM) and the “CuII(dien)2+” of 1, 2, or 3 at room temperature in an ambient atmosphere. The error bars are the mean value of three independent experiments.

From the thermodynamics consideration, all of the complexes of 1–3 are able to release the inhibited Cu-catalyst in the presence of cyanide as the ΔG0 value (−37.9 kJ mol−1) of CuII(dien)2+ and CN adduct is much lower than the formation of [(L)x(CN)yFeII–C[triple bond, length as m-dash]N–CuII(dien)] (Table 2). However, Fig. 4b–d show the most interesting findings that the complexes 1–3 do not exhibit their catalytic properties, even though the reactions are considered thermodynamically feasible, if the cyanide concentration does not reach certain thresholds. However, by taking into account their kinetic properties, the initial cyanide concentration needs to reach thresholds of 0.2, 0.1, and 0.02 mM for 1, 2, and 3, respectively, to break their cyano-bridges and release [CN–CuII(dien)]+ to catalyze cyanide oxidation. In addition, we observed obvious plateaus from Fig. 4b–d when the oxidation reaction of CN proceeds for a certain period of time so that the product of NCO accumulates in the reaction environment. The plateaus may indicate that the catalytic system is being slowed-down and/or an inhibition effect from the negative feedback loop of the product is generated.2j A proposed mechanism for the catalytic oxidation of CN to NCO by the latent catalyst is shown in Scheme 2.

To further demonstrate the scope of the CDA as a general and smart catalytic system, another substrate, oxalate, was also investigated. The ΔG0 value (−39.0 kJ mol−1) of the adduct between CuII(dien)2+ and HOOC–COO was found to be larger than those of the systems 1–3 (−30.4, −25.3, and −15.1 kJ mol−1, respectively, Table 2) (Fig. S6). Because of this thermodynamic trigger, an off–on control is introduced into the CDA: Fig. S7 in the ESI shows that, in the presence of 1 under UV-vis irradiation at room temperature, the degradation of the oxalate (3.125 × 10−2 M) to CO2 is boosted rapidly in the first 150 min and gradually increases afterwards. In addition, the kinetic properties of the systems impart smart properties. Fig. S7 also reveals that even though complex 1 could thermodynamically undergo cyano-bridge cleavage in the presence of oxalate to release the CuII unit (Fig. S4b) for the catalytic oxidation of oxalate into CO2, it does not start the CDA reaction. For example, complex 1 requires that the initial oxalate concentration reaches 1.25 × 10−3 M (the threshold) to cleave the cyano-bridge, release the CuII unit, and catalyze oxalate oxidation. A proposed mechanism for the catalytic oxidation of oxalate to CO2 by the latent catalyst is shown in Scheme 2. The CDA system is therefore being smart, playing two consecutive roles of sensing a target pollutant and executing a preset chemical process at a specific concentration level of pollutants.

Degradation of cyanide in real wastewater samples by catalyst displacement assay

After carefully verifying the basic and crucial factors (thermodynamic and kinetic properties) of the CDA, complex 3 was used to test its applicability and “smart” performance in real wastewater treatment. Both domestic and industrial wastewater samples (level I, untreated sewage from a residential area system and sewage from an industrial zone, respectively) were collected in Hong Kong, China. The samples were filtered through 0.45 μm pore-size membrane filters (Pall Corporation) to remove insoluble substances before examination. The World Health Organization suggests a maximum allowable level of cyanide in wastewater of 20 μM (0.5 mg L−1).4 The wastewater samples were spiked with 10, 20 or 30 μM cyanide and their degradation/oxidation was analyzed at room temperature with complex 3 in the presence of H2O2. (Based on the results described above, complex 3 was able to initiate the oxidation of cyanide at 20 μM.) In the presence of 3, when the cyanide content of the samples reached 20 μM, the oxidation of cyanide to cyanate was initiated (Table 3; Fig. S8). However, it is important to note that when the cyanide content of the samples was set as 10 μM (i.e., less than the threshold concentration), no cyanide was oxidized to cyanate throughout the period. Control experiments in the absence of the complex revealed that no cyanide was oxidized. These results indicate that the smart-functioning CDA concept is applicable, even in the presence of organic/inorganic matters in actual domestic and industrial wastewater samples.
Table 3 Results of cyanide degradation by 3 in domestic (level I, untreated) and industrial wastewater samples
Wastewater samples Cyanide added (μM) Cyanate generated (μM) Conversion after 4 h (%)
Domestic (level I, untreated) 10 0 0
20 6.1 40.4
30 12.9 42.9
Industrial 10 0 0
20 6.6 33.1
30 14.8 49.4


Conclusion

Three bimetallic complexes were synthesized using a supramolecular approach with different metallic donors, [FeII(CN)6]4−, [FeII(tBubpy)(CN)4]2−, and FeII(tBubpy)2(CN)2, to bridge with a metallic acceptor, [CuII(dien)]2+, through a cyano-bridge as latent catalysts. The study of their thermodynamic and kinetic properties provided insight on how to establish a smart off–on sensing and threshold-controlled latent catalytic system for degradation of toxic pollutants. With this “smart” deactivation–activation function for controlling targeted reactions, the catalyst displacement assay (CDA) system could be used for on-site applications such as wastewater treatment with a pre-set threshold for the elimination of cyanide from reservoirs.

Acknowledgements

The work described in this paper was funded by a grant from The Education University of Hong Kong (Project No. R3444, R4175 and R4201), and grants from the Research Grants Council of Hong Kong SAR, China (ECS No. 800312 and GRF 18300415).

References

  1. (a) T. M. Trnka and R. H. Grubbs, The development of L2X2Ru[double bond, length as m-dash]CHR olefin metathesis catalysts: an organometallic success story, Acc. Chem. Res., 2001, 34, 18–29 CrossRef CAS PubMed; (b) J. Lee, O. K. Farha, J. Roberts, K. A. Scheidt, S. T. Nguyen and J. T. Hupp, Metal–organic framework materials as catalysts, Chem. Soc. Rev., 2009, 38, 1450–1459 RSC; (c) G. J. P. Britovsek, V. C. Gibson and D. F. Wass, The search for new-generation olefin polymerization catalysts: life beyond metallocenes, Angew. Chem., Int. Ed., 1999, 38, 428–447 CrossRef CAS; (d) R. Noyori, Asymmetric catalysis: science and opportunities (nobel lecture), Angew. Chem., Int. Ed., 2002, 41, 2008–2022 CrossRef CAS.
  2. (a) S. J. Li, Y. Ge, A. Tiwari, S. Q. Wang, A. P. F. Turner and S. A. Piletsky, ‘On/off’-switchable catalysis by a smart enzyme-like imprinted polymer, J. Catal., 2011, 278, 173–180 CrossRef CAS; (b) A. Piermattei, S. Karthikeyan and R. Sijbesma, Activing catalysts with mechanical force, Nat. Chem., 2009, 1, 133–137 CrossRef CAS PubMed; (c) R. Groote, R. T. M. Jakobs and R. P. Sijbesma, Mechanocatalysis: forcing latent catalysts into action, Polym. Chem., 2013, 4, 4846–4859 RSC; (d) V. Blanco, D. A. Leigh and V. Marcos, Chem. Soc. Rev., 2015, 44, 5341–5370 RSC; (e) H. Sinn, W. Kaminsky, H. J. Vollmer and R. Woldt, Living polymers on polymerization with extremely productive Ziegler catalysts, Angew. Chem., Int. Ed., 1980, 19, 390–392 CrossRef; (f) C. Slugovc, D. Burtscher, F. Stelzer and K. Mereiter, Thermally switchable olefin metathesis initiators bearing chelating carbenes: influence of the chelate’s ring size, Organometallics, 2005, 24, 2255–2258 CrossRef CAS; (g) L. H. Slaugh and R. D. Mullineaux, Novel hydroformylation catalysts, J. Organomet. Chem., 1968, 13, 469–477 CrossRef CAS; (h) A. C. Sentman, S. Csihony, R. M. Waymouth and J. L. Hedrick, Silver (I)–carbine complexes/ionic liquids: novel N-heterocyclic carbene delivery agents for organocatalytic transformations, J. Org. Chem., 2005, 70, 2391–2393 CrossRef PubMed; (i) R. Gawin, A. Makal, K. Wozniak, M. Mauduit and K. Grela, A dormant ruthenium catalyst bearing a chelating carboxylate ligand: in situ activation and application in metathesis reactions, Angew. Chem., Int. Ed., 2007, 46, 7206–7209 CrossRef CAS PubMed; (j) S. Pramanik and I. Aprahamian, Hydrazone Switch-Based Negative Feedback Loop, J. Am. Chem. Soc., 2016, 138, 15142–15145 CrossRef CAS PubMed; (k) D. Zhao, T. M. Neubauer and B. L. Feringa, Nat. Commun., 2015, 6, 6652 CrossRef CAS PubMed; (l) M. Vlatkovic, B. S. L. Collins and B. L. Feringa, Chem.–Eur. J., 2016, 22, 17080 CrossRef CAS PubMed.
  3. (a) P. B. Pati, Organic chemodosimeter for cyanide: a nucleophilic approach, Sens. Actuators, B, 2016, 222, 374 CrossRef CAS; (b) C. Young; L. Tidwell; C. Anderson, Cyanide: Social, Industrial, and Economic Aspects, Mineral, Metals, and Materials Society, Warrendale, 2001 Search PubMed; (c) F. Wang, L. Wang, X. Q. Chen and J. Y. Yoon, Recent progress in the development of fluorometric and colorimetric chemosensors for detection of cyanide ions, Chem. Soc. Rev., 2014, 43, 4312–4324 RSC; (d) Z. Xu, X. Chen, H. N. Kim and J. Yoon, Chem. Soc. Rev., 2010, 39, 127–137 RSC; (e) R. R. Dash, A. Gaur and C. Balomajumder, Cyanide in industrial wastewaters and its removal: a review on biotreatment, J. Hazard. Mater., 2009, 163, 1–11 CrossRef CAS PubMed.
  4. D. Shan, C. Mousty and S. Cosnier, Anal. Chem., 2004, 76, 178 CrossRef CAS PubMed.
  5. (a) J. Marugan, R. van Grieken, A. E. Cassano and O. M. Alfano, Scaling-up of slurry reactors for the photocatalytic oxidation of cyanide with TiO2 and silica-supported TiO2 suspensions, Catal. Today, 2009, 144, 87–93 CrossRef CAS; (b) S. N. Frank and A. J. Bard, Heterogeneous photocatalytic oxidation of cyanide ion in aqueous-solutions at TiO2 powder, J. Am. Chem. Soc., 1977, 99, 303–304 CrossRef CAS.
  6. (a) M. Sarla, M. Pandit, D. K. Tyagi and J. C. Kapoor, Oxidation of cyanide in aqueous solution by chemical and photochemical process, J. Hazard. Mater., 2004, 116, 49–56 CrossRef CAS PubMed; (b) F. Y. Chen, X. Zhao, H. J. Liu and J. H. Qu, Reaction of Cu(CN)(3)(2−) with H2O2 in water under alkaline conditions: cyanide oxidation, Cu+/Cu2+ catalysis and H2O2 decomposition, Appl. Catal., B, 2014, 158, 85–90 CrossRef; (c) St. Christoskova and M. Stoyanova, J. Hazard. Mater., 2009, 165, 690–695 CrossRef CAS PubMed.
  7. (a) Q. Li, Y. Cai, H. Yao, Q. Lin, Y. R. Zhu, H. Li, Y. M. Zhang and T. B. Wei, Spectrochim. Acta, Part A, 2015, 136, 1047 CrossRef CAS PubMed; (b) Y. Xu, X. Dai and B. X. Zhao, Spectrochim. Acta, Part A, 2015, 138, 164 CrossRef CAS PubMed; (c) R. Misra, T. Jadhav, B. Dhokale and S. M. Mobin, Dalton Trans., 2015, 44, 16052 RSC; (d) Ref. 21; (e) H. Khajehsharifi and M. M. Bordbar, Sens. Actuators, B, 2015, 209, 1015 CrossRef CAS; (f) R. S. Heying, L. G. Nandi, A. J. Bortoluzzi and V. G. Machado, Spectrochim. Acta, Part A, 2015, 136, 1491 CrossRef CAS PubMed; (g) L. Tang and M. Cai, Sens. Actuators, B, 2012, 173, 862 CrossRef CAS; (h) L. Feng, H. Li, X. Li, L. Chen, Z. Shen and Y. Guan, Anal. Chim. Acta, 2012, 743, 1 CrossRef CAS PubMed; (i) D. A. Jose, M. Elstner and A. Schiller, Chem.–Eur. J., 2013, 19, 14451–14457 CrossRef CAS PubMed; (j) references cited in X. Lou, D. Ou, Q. Li and Z. Li, Chem. Commun., 2012, 48, 8462–8477 RSC.
  8. (a) J. L. Lavigne and E. V. Anslyn, Angew. Chem., Int. Ed., 1999, 38, 3666 CrossRef CAS; (b) S. L. Wiskur and E. V. Anslyn, J. Am. Chem. Soc., 2001, 123, 10109 CrossRef CAS PubMed; (c) H. Alt-Haddou, S. L. Wiskur, V. M. Lynch and E. V. Anslyn, J. Am. Chem. Soc., 2001, 123, 11296 CrossRef; (d) S. E. Schneider, S. N. O’Neil and E. V. Anslyn, J. Am. Chem. Soc., 2000, 122, 542 CrossRef CAS; (e) Z. Zhong and E. V. Anslyn, J. Am. Chem. Soc., 2002, 124, 9014 CrossRef CAS PubMed; (f) S. L. Wiskur, H. Ait-Haddou, J. J. Lavigne and E. V. Anslyn, Acc. Chem. Res., 2001, 34, 963 CrossRef CAS PubMed; (g) B. T. Nguyen and E. V. Anslyn, Coord. Chem. Rev., 2006, 250, 3118 CrossRef CAS; (h) E. V. Anslyn, J. Org. Chem., 2007, 72, 687 CrossRef CAS PubMed.
  9. (a) L. Fabbrizzi, A. Leone and A. Taglietti, Angew. Chem., Int. Ed., 2001, 40, 3066 CrossRef CAS; (b) L. Fabbrizzi, F. Foti and A. Taglietti, Org. Lett., 2005, 7, 2603 CrossRef CAS PubMed; (c) M. A. Hortala, L. Fabbrizzi, N. Marcotte, F. Stomeo and A. Taglietti, J. Am. Chem. Soc., 2003, 125, 20 CrossRef CAS PubMed; (d) V. Amendola, G. Bergamaschi, A. Buttafava, L. Fabbrizzi and E. Monzani, J. Am. Chem. Soc., 2010, 132, 147 CrossRef CAS PubMed.
  10. (a) D. Jimenez, R. Martinez-Manez, F. Sancenon, J. V. Ros-Lis, A. Benito and J. Soto, J. Am. Chem. Soc., 2003, 125, 9000 CrossRef CAS PubMed; (b) M. Comes, G. Rodriguez-Lopez, M. D. Marcos, R. Martinez-Manez, F. Sancenon, J. Soto, L. A. Villaescusa, P. Amoros and D. Beltran, Angew. Chem., Int. Ed., 2005, 44, 2918 CrossRef CAS PubMed; (c) R. Martinez-Manez and F. Sancenon, Chem. Rev., 2003, 103, 4419 CrossRef CAS PubMed; (d) R. Martinez-Manez, F. Sancenon, M. Biyikal, M. Hecht and K. Rurack, J. Mater. Chem., 2011, 21, 12588 RSC; (e) M. E. Moragues, R. Martinez-Manez and F. Sancenon, Chem. Soc. Rev., 2011, 40, 2593 RSC.
  11. (a) C. F. Chow, M. H. W. Lam and W. Y. Wong, Dalton Trans., 2005, 475–484 RSC; (b) C. F. Chow, M. H. W. Lam and W. Y. Wong, Inorg. Chem., 2004, 43, 8387 CrossRef CAS PubMed; (c) C. K. Koo, C. F. Chow, B. K. W. Chiu, M. H. W. Lam and W. Y. Wong, Eur. J. Inorg. Chem., 2008, 1318 CrossRef CAS; (d) C. F. Chow, M. H. W. Lam and W. Y. Wong, Anal. Chem., 2013, 85, 8246 CrossRef CAS PubMed; (e) C. F. Chow, Y. F. Ho and C. B. Gong, Anal. Chem., 2015, 87, 6112–6118 CrossRef CAS PubMed.
  12. R. A. Krause, Inorg. Chim. Acta, 1977, 22, 209–213 CrossRef CAS.
  13. A. A. Schilt, J. Am. Chem. Soc., 1960, 82, 3000 CrossRef CAS.
  14. N. Trendafilova, G. S. Nikolov, G. Bauer and R. Kellner, Inorg. Chim. Acta, 1993, 210, 77 CrossRef CAS.
  15. K. A. Connors, Binding Constants, The Measurement of Molecular Complexes Stability, John Wiley and Sons, New York, 1987 Search PubMed.
  16. A. Hubaux and G. Vos, Anal. Chem., 1970, 42, 849–855 CrossRef CAS.
  17. J. E. Erman, Biochemistry, 1974, 13, 39–44 CrossRef CAS PubMed.
  18. (a) C. F. Chow, P. Y. Ho, W. L. Wong and C. B. Gong, Chem.–Eur. J., 2015, 21, 12984–12990 CrossRef CAS PubMed; (b) C. F. Chow, P. Y. Ho and C. B. Gong, Analyst, 2014, 139, 4256 RSC.
  19. T. D. Keene, T. Komm, J. Hauser and K. W. Kramer, Inorg. Chim. Acta, 2011, 373, 100–106 CrossRef CAS.
  20. (a) J. K. Beattie and G. A. Polyblank, Aust. J. Chem., 1995, 48, 861–868 CrossRef CAS; (b) M. Sarla, M. Pandit, D. K. Tyagi and J. C. Kapoor, J. Hazard. Mater., 2004, 116, 49–56 CrossRef CAS PubMed; (c) M. A. Acheampong, R. J. W. Meulepas and P. N. L. Lens, J. Chem. Technol. Biotechnol., 2010, 85, 590–613 CrossRef CAS; (d) V. Garcia, P. Hayrynen, J. Landaburu-Aguirre, M. Pirila, R. L. Keiski and A. Urtiaga, J. Chem. Technol. Biotechnol., 2014, 89, 803–813 CrossRef CAS.
  21. M. Sarla, M. Pandit, D. K. Tyagi and J. C. Kapoor, J. Hazard. Mater., 2004, 116, 49–56 CrossRef CAS PubMed.

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/c6sc05584b

This journal is © The Royal Society of Chemistry 2017