Lindomar A.
Portugal
a,
Laura
Ferrer
a,
Antonio M.
Serra
a,
Douglas
Gonçalves da Silva
b,
Sérgio Luis C.
Ferreira
b and
Víctor
Cerdà
*a
aGroup of Analytical Chemistry, Automation and Environment, Department of Chemistry, University of Balearic Island, Cra. Valldemossa 7.5 km, 07122 Spain. E-mail: victor.cerda@uib.es
bInstituto de Química, Universidade Federal da Bahia, Brazil
First published on 10th February 2015
A non-chromatographic automated system for the speciation and determination of inorganic and trimethylantimony (TMSb) exploiting multisyringe flow injection analysis (MSFIA) with hydride generation (HG) and atomic fluorescence spectrometry (AFS) is described. A cationic minicolumn was used for retaining the methylated forms of Sb which can generate hydrides, minimizing errors in the inorganic antimony speciation step. The optimization was performed in a multivariate way by employing a three-variable Box–Behnken design and a multiple response strategy. So, this method allows the quantification of Sb using the external calibration with aqueous standards. The method is suitable for monitoring drinking, surface and ground waters according to regulations established by the EU directives for antimony (5.0 μg L−1), and it was applied to the speciation of inorganic antimony and TMSb in several spiked water samples with recoveries close to 100%. The detection limits were 0.03 μg L−1 for Sb(III) and Sb(V) and 0.13 μg L−1 for TMSb. The method was satisfactorily applied to the determination of Sb(III), Sb(V) and TMSb in different water samples collected in Balearic Islands, Spain.
Generally, the inorganic species of antimony are more toxic than the organic forms, and its compounds were considered as pollutants of priority interest by the Environmental Protection Agency of the United States (USEPA) and by the European Union (Council of the European Communities).3,4 Antimony does not show biological functions and it is easily accumulated in organisms, causing deleterious effects in humans.5 The determination of antimony content is important to protect the health of people and prevent environmental contamination due to its toxicity.5
The development of highly sensitive techniques to identify and/or to quantify Sb species has opened up an increasingly attractive research area for elucidating the fate of Sb in the different environmental compartments. A vast majority of studies have focused on methods based on high-performance liquid chromatography (HPLC), used in conjunction with an element-specific detector. These methods using HPLC separation of Sb species are based on anion-exchange chromatographic methods due to the predominance of Sb anionic species in aqueous environmental samples.6 Since the first proposal of using an anion-exchange column,7 cationic and reversed-phase chromatographic columns have also been evaluated,8 but species separation was not improved compared to anion-exchange methods. In this context, the accurate separation of inorganic Sb(III), Sb(V) and methylated Sb species using a single chromatographic system is notoriously problematic and less often described in the literature. Several HPLC methods have attempted such a purpose, most of them based on the use of strong anion-exchange stationary phases and complexing mobile phases to improve Sb(III) elution.6 Furthermore HPLC systems are complex, involving expensive instruments and dilatory methodologies.
Hydride generation (HG) techniques are widely used for the determination of volatile hydride forming elements in analytical atomic spectrometry to enhance detection power and minimize or eliminate matrix interferences while incurring relatively low additional cost and minimal sophistication.9 Usually, these techniques were combined with atomic absorption spectrometry (HG-AAS),10 atomic fluorescence spectrometry (HG-AFS),11,12 inductively coupled plasma optical emission spectrometry (HG-ICP-OES)13,14 and inductively coupled plasma mass spectrometry (HG-ICP-MS).15,16 Alternative applications using the HG-AFS system can also be used.17
Not only is Sb(III) reduced by NaBH4, but also methylated species of Sb are reduced and Sb(V) is partially reduced.18 This is an important drawback in Sb speciation by HG to obtain accurate results. 8-Hydroxyquinoline was used as a masking reagent for Sb(V) and transition metals during stibine formation.19 For the determination of Sb(V) by HG, it should be previously pre-reduced to Sb(III). Most methodologies for Sb determination have only been applied for the separation or speciation of inorganic species, Sb(III) and Sb(V), without considering the organic species of antimony. This dimethylation leads to the formation of Me2SbH, MeSbH2, SbH3, and Me3Sb, an issue which has been discussed extensively in the literature, but has not yet been unequivocally solved.15 Although non-chromatographic methodologies are an interesting alternative, because they are cheaper, easy to operate and faster than HPLC systems, only a single paper has addressed the use of a non-chromatographic system for antimony speciation. The author studied the influence of a combination of fluoride and iodide as a modifier for the reduction process of Sb(III), Sb(V) and TMSb for stibine generation using flow injection hydride generation coupled to an inductively coupled plasma atomic emission spectrometer (FI-HG-ICP-AES), and the method was applied to orange juice samples.20
Currently, multivariate optimization strategies are very popular in the development of analytical methodologies. The main advantage of their use is the low number of experiments required to achieve the optimal conditions and the indication of possible influences of some variables on others, which is not possible in univariate optimization. The response surface methodology (RSM) can be considered as one of the most important approaches for the multivariate optimization of several analytical procedures.21,22 The selection of a Box–Behnken design as a model for the multivariate optimization of analytical procedures is on account of its growth in the last few years, basically due to its higher efficiency when compared to other second-order designs like the Doehlert matrix and the Central Composite Design and its efficiency is equal to the Doehlert matrix when three factors are studied.21
This paper proposes an automated and non-chromatographic method for the determination and speciation of Sb(III), Sb(V) and TMSb in complex natural water samples by HG-AFS at ng L−1. The method has been applied to various natural water samples collected in Balearic Islands, Spain. Furthermore, the majority of the previously developed methods have been focused on the determination of high levels of antimony. The aim of this work is the determination of antimony at the ng L−1 level in natural waters (coastal water, groundwater, and drinking water), since studies indicate that typical concentrations in unpolluted systems are less than 1 μg L−1.3 In the present study a cationic exchange minicolumn was used in order to retain the methylated forms of Sb which can generate hydrides. In this sense, the retention of trimethylated species contributes to minimizing the errors in the determination of inorganic forms present in the sample.
In the proposed system, four syringes were used: S1 (2.5 mL), S2 (2.5 mL), S3 (1.0 mL) and S4 (5.0 mL). The syringes were used as follows: S1 for propulsion of hydrochloric acid solution, S2 to dispense sodium tetrahydroborate solution, S3 to impel the mixture of potassium iodide and ascorbic acid solution to pre-reduce Sb(V) to (Sb(III) and S4 to carry the sample. The acquisition of the peaks was achieved with only one filling of the syringe, increasing the sample frequency. The multisyringe module was equipped with two additional independent solenoid valves (V5) and (V6) (N-Research).
The solenoid valves V1, V2 and V3 control the aspiration and dispensing of the reagents, while V4 and V5 control the sample loading into the holding coil and the sample dispensing to the system. The valve V6 allows the bypass of the sample through the minicolumn. A manifold was constructed with 1.5 mm i.d. (used for the sample aspiration) and 0.8 mm i.d. (used for the rest of the system) PTFE tubes. For the sample loading, the holding coil used was 3 m long with a volume of 5.3 mL.
A drying membrane (Perma Pure Inc., Toms River, NJ) utilizing nitrogen as a purge gas was connected to the outlet of the gas–liquid separator to circumvent entrainment of moisture into the AFS and subsequent quenching of the atomic fluorescence intensity. Water moves through the membrane wall and evaporates into the surrounding air or gas. A non-dispersive atomic fluorescence spectrometer (P.S. Analytical model 10.044, Excalibur detector, PS Analytical) for on line detection equipped with an antimony boosted discharge hollow cathode lamp (primary current 17.5 mA, secondary current 15.0 mA, wavelength 217.6 nm) was used. This spectrometer presents four internal gains and an external fine gain, which allows working on a large concentration range. The fine gain has been adjusted during the optimization, up to a fine gain of 3, which was chosen for the lineal working range, using the internal gain at 100-fold. The transient signals were processed with the peak height. System control, data acquisition and processing of the pump, valves and syringes were performed using the software package Autoanalysis 5.0 (ref. 19) (Sciware Systems, Bunyola, Spain), version 5.0.13.5. A methacrylate minicolumn 5 mm in diameter and 4 cm in length, provided with a porous frit, was used to support the resin (DOWEX® 50 WX8, 100–200 mesh) for TMSb retention.
A stock standard solution (1000 mg L−1) of Sb(III) was prepared by dissolving antimony potassium tartrate (Carlo Erba, Italy) in 3.0 mol L−1 HCl (Scharlau, Spain) solution. A stock standard solution of Sb(V) was prepared by dissolving potassium pyroantimonate acid (Carlo Erba, Italy) in 3.0 mol L−1 HCl (Scharlau) solution. The solutions were stable for at least 3 months at 4 °C.
A stock solution (1000 mg L−1) of trimethylantimony(V) bromide (Sigma-Aldrich, Germany) was prepared in Milli-Q water and stored in a polyethylene bottle at 4 °C for six months.
A 6% w/v sodium tetrahydroborate solution (Scharlau) in sodium hydroxide 0.2 mol L−1 (Scharlau) was prepared daily.
The 8-hydroxyquinoline stock solution at 1% (w/v, yellowish color), was prepared by dissolving 1.0 g of 8-hydroxyquinoline (AnalaR*, A. R.) in 10 mL of methanol (99.8% Caledon), and then diluted to 100 mL with HCl 10% (w/v).
A stock solution of potassium iodide 50% w/v containing L-ascorbic acid 10% w/v was prepared by dissolving 25.0 g of KI (Scharlau) and 5.0 g of L-ascorbic acid (Scharlau) in 50 mL of ultra-pure water.
A mass of 0.2360 ± 0.0020 g of the cation exchange resin DOWEX® 50W-X8 was used (polystyrene-divinylbenzene with the sulfonic functional group, 100–200 mesh).
(1) In the first step, Sb(III) is determined. The sample (2.0 mL) is loaded in the sample coil through S4 with V4 and V5 in the “on” position. The sample is then dispensed at 5 mL min−1 with V4 in the “on” position and V5 in the “off” position. At this time V6 switches to the “on” position allowing the sample to pass through the minicolumn and thus TMSb is retained. Then, a sample plug is mixed with HCl (1.0 mL) and NaBH4 (1.0 mL) solutions (2.5 mL min−1) in the reaction coil 2 (RC2). The mixture is impelled to a gas–liquid separator (10 mL min−1), where stibine (H3Sb) is delivered to the AFS-detector by Ar gas at 300 mL min−1, before passing through the Perma Pure dryer with N2 at a 300 mL min−1 flow rate. In this step, Sb(V) did not show any sign of fluorescence emission due to the use of 8-hydroxyquinoline as a complexing agent and the absence of the pre-reducing agent (KI).
(2) In the second step, the total inorganic fraction is determined, i.e. Sb(III) and Sb(V). The procedure is very similar to step 1, but 0.4 mL of KI are added (1.0 mL min−1) in the reaction coil 1 (RC1) in order to pre-reduce Sb(V) to Sb(III). Later, the mixture is merged in RC2 with HCl and NaBH4 solutions. The Sb(V) concentration is calculated by subtracting the Sb(III) concentration previously obtained. In this step, although the mechanism is still unclear, it appears that the pre-reducing solution (KI) breaks the complex formed by the association of Sb(V) and 8-hydroxyquinoline. A similar behavior was previously reported,19 using a mixture of 0.1% 8-hydroxyquinoline + 2.0% KI and achieving a recovery close to 100% for a mixture of Sb(III) + Sb(V).
(3) In the last step, the total antimony is determined, i.e. inorganic species and TMSb. In this step, V6 is switched “off” allowing bypass to the minicolumn. Thus, the total antimony is determined and the TMSb concentration is obtained by the subtraction of previous inorganic fraction concentrations.
Curvature = RFD − RCP | (1) |
Analysis of the results suggested a negative curvature. This reveals the existence of an analytical region of maximum fluorescence signal near the central point of the experimental conditions.
The best analytical performance for the online speciation and detection of critical values in the antimony speciation was achieved by applying the Box–Behnken design for the chemical variables: NaBH4 concentration (% w/v), KI concentration (% w/v) and HCl concentration (mol L−1) (Table 1). This design required fifteen experiments which were performed in a random manner to avoid any systematic error. The response of analytical interest was the fluorescence intensity (peak height) of the species Sb(V), Sb(III) and TMSb obtained in each step. To perform multiple response optimization for speciation and determination of the three antimony species, a mathematical–statistical tool developed by Derringer, which is based on the use of a desirability function, was used. This feature allowed us to combine in a single response (overall desirability) three distinguishing features of each species studied. The use of desirability functions for multiple response optimization experiments was proposed by Derringer and Suich.27 To obtain overall desirability, individual desirability of all responses should be determined (in this case, fluorescence intensity of Sb(III), Sb(V) and TMSb). Thus, each response yi (i = 1, 2, …, m) is transformed into a scale-free value, which is called an individual desirability function (di), where 0 ≤ di ≤ 1, with 0 for an unacceptable response and 1 for a desirable response. The value of di increases as the desirability of the corresponding response increases. The individual desirability function was calculated according to eqn (2), which was used to maximize the analytic responses for Sb(III), Sb(V) and TMSb. In this equation yi is the Sb(III), Sb(V) or TMSb fluorescence intensity; L and H are the lower and upper fluorescence intensities, observed in the experiments for the antimony species. The overall desirability (D) was calculated by determining the geometric mean of individual desirabilities (eqn (3)).
![]() | (2) |
D = (d1 × d2 × d3…dk)1/k | (3) |
Exp. | NaBH4 | KI | HCl | Analytical signal (AU) | |||
---|---|---|---|---|---|---|---|
Sb(III)a | Sb(V)a | TMSbb | D | ||||
1 | — | — | 0 | 48.82 | 49.01 | 33.69 | 0.3623 |
2 | + | — | 0 | 66.24 | 66.60 | 45.71 | 0.7099 |
3 | — | + | 0 | 31.83 | 32.14 | 21.96 | 0.0237 |
4 | + | + | 0 | 62.04 | 62.00 | 42.81 | 0.6237 |
5 | — | 0 | — | 35.82 | 36.11 | 24.72 | 0.1041 |
6 | + | 0 | — | 65.39 | 65.71 | 45.12 | 0.6927 |
7 | — | 0 | + | 30.88 | 30.24 | 21.31 | 0.0000 |
8 | + | 0 | + | 59.99 | 60.28 | 41.39 | 0.5851 |
9 | 0 | — | — | 53.50 | 54.12 | 36.91 | 0.4581 |
10 | 0 | + | — | 64.66 | 64.17 | 44.61 | 0.6728 |
11 | 0 | — | + | 54.08 | 54.11 | 37.32 | 0.4659 |
12 | 0 | + | + | 61.57 | 61.47 | 42.48 | 0.6139 |
13 | 0 | 0 | 0 | 77.65 | 78.21 | 53.58 | 0.9382 |
14 | 0 | 0 | 0 | 80.68 | 79.00 | 55.67 | 0.9836 |
15 | 0 | 0 | 0 | 79.80 | 81.48 | 55.06 | 0.9882 |
The individual and overall desirability profiles for Sb(III), Sb(V) and TMSb are calculated according to eqn (2) and (3). Table 1 shows the overall desirability profile (D). Fig. 2 shows the predicted values and desirability analyzed using the real values of the independent variables and the data processed by the STATISTICA software28 for a confidence level of 95%.
The system showed critical values with maximum solution in the central point region (Table 1 and Fig. 2) and a desirability equal to 1.0, for a confidence level of 95%. These values were: NaBH4 0.38% (w/v), HCl 3.2% (v/v) and KI 12.75% (w/v). The ANOVA table shows an adjusted model for the three antimony species with low error and the correlation between observed and predicted values.
L-Cysteine has been recognized as a pre-reductant for some years to reduce Sb(V) to Sb(III). However, it is known that its use yields a high value of the analytical signal of the blank. Besides, when L-cysteine is used as a masking agent, it will inevitably reduce the original Sb(V) to Sb(III), making speciation impossible. Therefore, potassium iodide was selected as a pre-reductant for the reduction of Sb(V) to Sb(III) and total Sb determination. Sb(III) and Sb(V) were determined in the absence and presence of potassium iodide. Fig. 3 shows the analytical signals obtained for the three species in study in the presence and absence of KI, without the use of the minicolumn. For this reason, it was decided to use KI because of the high efficiency of speciation of the inorganic forms of Sb. Besides, one study reports that Sb(V) cannot be completely reduced to Sb(III) without a pre-reduction step.32
The compound 8-hydroxyquinoline was used as a masking agent in order to avoid any modification in the oxidation state of Sb(III) to Sb(V).19
In order to investigate the effect of the inorganic Sb species over the TMSb determination, two curves of TMSb were obtained: one for TMSb and other for TMSb in the presence of 1.0 μg L−1 Sb(V) both in aqueous medium (pH = 2.0) using 8-hydroxyquinoline as a masking agent and KI as a pre-reduction reagent for Sb(V). The slopes for both curves showed no significant difference, with the determination coefficient R2 > 0.99 for a confidence level of 95%, as shown in Fig. 4. This indicates that TMSb can be determined in the presence of the inorganic form of Sb (assay concentrations similar to those found in fresh water), using a masking agent.
![]() | ||
Fig. 4 Calibration curves for TMSb in aqueous medium (pH = 2) in the absence and presence of 1.0 μg L−1 Sb(V). Both solutions were prepared in 8-hydroxyquinoline and KI. |
The analytical parameters used to determine the three studied species are shown in Table 2, and the instrument working conditions are summarized in Table 3.
Sample flow rate (mL min−1) | 5.0 |
Sample volume (mL) | 2.0 |
NaBH4 (mL min−1) | 2.5 |
NaBH4 (mL) | 1.0 |
KI (mL min−1) | 1.0 |
KI (mL) | 0.4 |
HCl (mL min−1) | 2.5 |
HCl (mL) | 1.0 |
Argon flow rate (mL min−1) | 300 |
Hydrogen flow rate (mL min−1) | 35 |
Dryer gas (N2) flow rate (mL min−1) | 300 |
Lamp current primary (mA) | 17.5 |
Lamp current boost (mA) | 15.0 |
Injection throughput (inj. h−1) | 30 |
Gain | 100 |
Fine gain | 1 |
Signal type | Peak height |
The LOD, procedure used, sample matrix and chemical forms of antimony determined were compared between the proposed procedure and those of other procedures for antimony determination (Table 4).
Procedure | Sample | LOD (μg L−1) | Reference | ||
---|---|---|---|---|---|
Sb(III) | Sb(V) | TMSb | |||
a Chromatographic technique. b Non-chromatographic technique. HPLC: high performance liquid chromatography; HG: hydride generation; AFS: atomic fluorescence spectrometry; FI: flow injection; ICP: inductively coupled plasma; AES: atomic emission spectrometry; MS: mass spectrometry; ETV: electrothermal vapourization; AAS: atomic absorption spectrometry; MSFIA: multisyringe flow injection analysis. | |||||
HPLC-HG-AFSa | Water | 0.26 | 0.09 | 0.04 | 35 |
HPLC-HG-AFSa | Urine | 0.19 | 0.18 | 0.12 | 11 |
HPLC-HG-AFSa | Soil | 0.07 | 0.07 | 1.0 | 36 |
HPLC-HG-AFSa | Seawater | 0.07 | 0.13 | 0.13 | 37 |
FI-HG-ICP-AESb | Orange juice, soil extracts | 1.2 | 1.4 | 1.1 | 20 |
HG-ICP-MSb | Seawater | 0.013 | 0,021 | — | 38 |
ETV-ICP-AESb | River water, tap water, pond water, urine | 0.09 | 0.09 | — | 39 |
FI-HG-AASb | Natural water | 0.05 | 0.06 | — | 40 |
HG-ICP-AESb | River water, effluent samples | 0.09 | 0.9 | — | 41 |
MSFIA-HG-AFSb | Ground water, seawater, drinking water | 0.03 | 0.03 | 0.13 | This work |
Sample | Sb(III) (n = 3) | Sb(V) (n = 3) | TMSb (n = 3) | Total Sb (n = 3) | ||||||
---|---|---|---|---|---|---|---|---|---|---|
Spiked (μg L−1) | Found (μg L−1) | Rec (%) | Spiked (μg L−1) | Found (μg L−1) | Rec (%) | Spiked (μg L−1) | Found (μg L−1) | Rec (%) | ||
a GW: groundwater. b SW: seawater. c DW: drinking water. | ||||||||||
GWa-B | — | 0.23 ± 0.09 | — | — | <LOQ | — | — | <LOQ | — | 0.23 ± 0.10 |
0.2 | 0.44 ± 0.06 | 105 | 0.20 | 0.19 ± 0.04 | 95 | 1.00 | 0.91 ± 0.10 | 92 | ||
0.4 | 0.58 ± 0.06 | 90 | 0.40 | 0.42 ± 0.07 | 105 | 2.00 | 2.14 ± 0.08 | 104 | ||
SWb-PP | — | 0.29 ± 0.10 | — | — | 0.27 ± 0.10 | — | — | <LOQ | — | 0.56 ± 0.20 |
0.2 | 0.48 ± 0.09 | 95 | 0.20 | 0.49 ± 0.03 | 110 | 1.00 | 0.93 ± 0.10 | 93 | ||
0.4 | 0.67 ± 0.08 | 95 | 0.40 | 0.71 ± 0.05 | 110 | 2.00 | 2.17 ± 0.10 | 108 | ||
SW-PX | — | 0.23 ± 0.08 | — | — | 0.22 ± 0.08 | — | — | <LOQ | — | 0.45 ± 0.16 |
0.2 | 0.47 ± 0.10 | 110 | 0.20 | 0.43 ± 0.08 | 105 | 1.00 | 0.97 ± 0.12 | 97 | ||
0.4 | 0.61 ± 0.05 | 95 | 0.40 | 0.59 ± 0.06 | 105 | 2.00 | 2.20 ± 0.09 | 110 | ||
SW-SJD | — | 0.12 ± 0.04 | — | — | 0.20 ± 0.06 | — | — | <LOQ | — | 0.32 ± 0.10 |
0.2 | 0.29 ± 0.06 | 91 | 0.20 | 0.43 ± 0.07 | 98 | 1.00 | 0.97 ± 0.13 | 97 | ||
0.4 | 0.48 ± 0.05 | 90 | 0.40 | 0.59 ± 0.04 | 105 | 2.00 | 2.10 ± 0.10 | 105 | ||
SW-CB | — | 0.12 ± 0.09 | — | — | 0.29 ± 0.10 | — | — | <LOQ | — | 0.42 ± 0.09 |
0.2 | 0.34 ± 0.10 | 110 | 0.20 | 0.48 ± 0.06 | 95 | 1.00 | 1.07 ± 0.09 | 107 | ||
0.4 | 0.50 ± 0.07 | 95 | 0.40 | 0.70 ± 0.06 | 103 | 2.00 | 2.10 ± 0.08 | 105 | ||
DWc-GC | — | 0.13 ± 0.10 | — | — | 0.27 ± 0.08 | — | — | <LOQ | — | 0.39 ± 0.18 |
0.2 | 0.32 ± 0.08 | 95 | 0.20 | 0.45 ± 0.04 | 90 | 1.00 | 0.89 ± 0.14 | 90 | ||
0.4 | 0.49 ± 0.08 | 90 | 0.40 | 0.66 ± 0.04 | 98 | 2.00 | 2.13 ± 0.08 | 106 |
The maximum efficiency was obtained thanks to the combination of multivariate design optimization with multiresponse tools.
The proposed method provides several advantages such as a high degree of automation, an elevated precision (RSD < 5%), and low limits of detection that allow Sb speciation analysis in environmental waters. Besides, a high injection frequency together with the minimization of sample and reagent volumes makes this method an efficient and environmentally friendly tool for antimony species evaluation.
The proposed method was successfully applied to several kinds of water samples, achieving recoveries of 90–110%.
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