L. M.
Hallerstig
,
P.
Granath
,
L.
Lindgren
and
M.
Tranberg
*
Mölnlycke Health Care AB, Department of R&D, Gamlestadsvägen 3C, 41502 Gothenburg, Sweden. E-mail: mattias.tranberg@gmail.com
First published on 2nd December 2016
Soft silicones are commonly used as a skin-friendly adhesive in wound care products. To prevent infection, silver (Ag) is frequently incorporated into wound dressings as an antimicrobial agent. Recently, wound dressings with Ag directly incorporated into soft silicone wound/skin contact layers have become commercially available. Thus there is a need for accurate Ag determination in these dressings. In this work the determination of Ag in soft silicones by inductively coupled plasma optical emission spectroscopy is described. This method utilises dodecylbenzene sulfonic acid for the digestion of silicones followed by extraction of Ag with hydrochloric acid (HCl). This method shows excellent accuracy (99–104%) and precision (0.3–4.4% CV) by combining matrix matched standards and internal standardization with indium. A short analysis time of 3 minutes per sample is required and the limit of quantification is 27 μg, corresponding to 540 mg kg−1 for a typical sample weight of 50 mg, which is sufficient to determine the Ag content in commercially available soft silicone wound dressings. The procedure is carried out as an open vessel digestion using a single polypropylene tube which minimizes the need for additional equipment and preparative work.
In spite of silicones being a common material relatively few articles describe the determination of metals in silicones. The analysis of the metal content in silicones by inductively coupled plasma-optical emission spectroscopy (ICP-OES) has been described for breast implants5 and silicone oils.6 A number of articles have been published in Chinese journals that describe metal determination in different forms of silicones,7–10 but unfortunately only their abstracts are available in English. A common approach for digesting silicones would be microwave digestion with acids such as HCl, nitric acid (HNO3) and sulphuric acid (H2SO4). Apart from costs associated with investing in the appropriate equipment, typically these techniques require careful cleaning of digestion vessels and glassware between runs to avoid contamination and/or interference. In addition, incomplete dissolution of silicone gel using microwave digestion has been reported earlier.11 Another option for digestion is hydrofluoric acid (HF) which can be used for breaking silicon–oxygen bonds. However, HF is hazardous and requires appropriate safety considerations before use. The instrumentation also has to be compatible with HF-containing samples or procedures that remove the acid have to be performed before the analyte measurement. An extensive review of sample preparation for ICP-OES can be found elsewhere.12
Silicones can be swelled by organic solvents like xylene but will not fully dissolve due to cross linking of the polymer. Commercial liquid silicone digesters are available13 and removal of silicone resins with H2SO4 followed by washing with organic solvents has been described in patented applications.14 To our knowledge this approach has not been evaluated for analytical purposes.
In this work we used a long alkyl-chain sulfonic acid, dodecylbenzene sulfonic acid (DBSA, Fig. 1), in order to combine the swelling effect of an organic solvent with the hydrolytic activity of an acid for the digestion of silver-containing soft silicones. The silver is extracted using 32% (w/w) HCl and is then determined by ICP-OES. The whole procedure is carried out in a single-use plastic tube in order to minimize time-consuming steps such as rinsing and washing of glassware. Validation was performed with matrix matched spiked samples at different levels and with different operators. The method was applied to two commercially available silver-containing silicone wound dressings.
| RF power | 1150 W |
| Auxiliary gas flow rate | 1.0 L min−1 |
| Ar plasma flow rate | 12 L min−1 |
| Nebuliser gas pressure | 0.5 Pa |
| Ag(I) line/measure mode | 338.289 nm/axial |
| In(I) line/measure mode | 325.609 nm/axial |
| Integration time | 10 s |
| Number of repeats per sample | 3 |
| Sample uptake time | 50 s |
| Sample uptake rate | 1.5 mL min−1 |
| Wash time | 60 s |
000 mg L−1, Teknolab AB, Kolbotn, Norway) in 0.5 M HNO3 (Merck, Darmstadt, Germany). Type II water (reverse osmosis + electrodeionisation) was used for all dilutions (Millipore, Molsheim, France). Samples were then prepared directly in the digestion tube as outlined in Table 2. First, 4.5–6.0 mg of carboxymethylcellulose (CMC) was added to a 50 mL Digitube. 400 μL of the corresponding calibration solution was then added and the mixture was swirled gently. The fluid was evaporated in a heating block at 90 °C and silicone components A and B (Mölnlycke Health Care, Gothenburg, Sweden) were added. The samples were mixed thoroughly with a plastic pipette to distribute the silver-containing cellulose evenly in the silicone. The tip of the pipette was carefully cut off and left at the bottom of the tube. The silicone was then cured at 125 °C for 45–60 minutes.
| Calibration standard/control sample (mg Ag) | Calibration solution conc. (400 μL added) | Silicone component A (mg) | Silicone component B (mg) | CMC (mg) |
|---|---|---|---|---|
| 0.027 | 67.5 mg L−1 | 45–60 | 45–60 | 4.5–6 |
| 0.094 | 235 mg L−1 | 45–60 | 45–60 | 4.5–6 |
| 0.33 | 825 mg L−1 | 45–60 | 45–60 | 4.5–6 |
| 1.15 | 2875 mg L−1 | 45–60 | 45–60 | 4.5–6 |
| 4.0 | 10 000 mg L−1 |
45–60 | 45–60 | 4.5–6 |
| Blank | — | 45–60 | 45–60 | 4.5–6 |
000 mg L−1, Inorganic Ventures, Christiansburg, USA) to the samples. The tubes were placed in a heating block (SPB 50-48, Perkin Elmer, Waltham, USA) at 150 °C for one hour. The tubes were removed from the heating block, allowed to cool and 18 mL of 32% (w/w) HCl (Merck, Darmstadt, Germany) was added. The tubes were vortexed for 30 seconds to extract the silver. After allowing the phases to separate the black upper organic phase was removed by using a plastic pipette and the volume of the sample was further reduced, again using a plastic pipette, until about 5 mL remained. The 5 mL of sample were then diluted to 50 mL with 10% (w/w) HCl. As a precaution the samples were filtered before analysis. Filtration was performed using 0.45 μm polypropylene filters (Digifilters, Perkin Elmer, Waltham, USA). After attachment to a filtration manifold (PerkinElmer, Waltham, USA) the fluid was passed through the filters using a vacuum pump (KNF, Neuberg, Germany). The filtered solution was then analysed by ICP-OES.
Calibration samples were prepared in a similar matrix as the authentic samples to minimise possible matrix effects.15,16 Calibration curves were constructed by plotting the ratio of the analyte signal to internal standard signal and then using least squares linear regression. To lower the overall error of the method 1/SD2-weighting was used for quantification, where SD is the standard deviation of the three repeats analysed per sample. The 3s- and 10s-criteria were used to determine the limit of detection (LOD) and the limit of quantification (LOQ), respectively. The LOD and LOQ were calculated from four blank samples and the values of 0.0035 mg and 0.012 mg for the LOD and LOQ were obtained, respectively. The calibration range was set to 0.027–4.0 mg with calibration samples at 5 levels (Table 2) since this resulted in calibration curves with better linearity. A typical calibration curve had a R2 value of 1.000 and the equation was y = 2.79x + 0.006 where y = the Ag/In signal ratio and x = the amount of Ag (mg).
Identifying the exact mechanism of the degradation was beyond the scope of this work. However, it can be said that silicone chains have been shown to undergo degradation at elevated temperatures in the presence of acids.18 DBSA can act as a Brønsted acid and a catalyst during the hydrolysis of silcones19 and acids under anhydrous conditions have been shown to catalyse the cleavage of siloxane bonds in cyclosiloxanes.20 In addition, sulfonic acids, including DBSA, have been shown to catalyse the hydrolysis of alkoxysilanes in an alkoxysilane-grafted ethylene–propylene copolymer. The rate of the reaction was dependent on the sulfonic acid's ability to diffuse into polymer matrices.21 In a similar manner it is believed that hydrophobic DBSA can reach and catalyse the hydrolysis of the siloxane bonds in silicones more effectively than a water-based acid (Scheme 1).
In order to extract the silver from the digested silicone, HCl (32%, w/w) was used. This was to avoid the formation of insoluble AgCl by possible trace Cl− present in the sample. Ag+ will form AgCl in contact with Cl− but excess Cl− will give rise to AgClx1−x-species that are readily soluble.22 However, HCl will make the Ag+ more susceptible to photo-reduction to Ag(s) and the samples were therefore stored in the dark.
By including an internal standard during the digestion step the practical work was facilitated since the internal standard compensated for small variations in volume that were inevitable during the digestion procedure (e.g. the dilution step). The concentration of the internal standard was chosen so that a good and robust signal intensity was obtained which also allowed for the dilution of the samples above the LOQ.
In order to avoid time-consuming procedures often associated with ICP-OES analysis such as acid rinsing and washing of glassware, single-use plastic tubes were used for the digestion procedure. Polypropylene is commonly used as an acid-resistant material. The melting point of polypropylene is between 130 and 170 °C which can be regarded as a relatively low digestion temperature. However, by using DBSA and polypropylene tubes it was possible to fully digest the silicone at 150 °C within one hour. The boiling point of DBSA is 204.5 °C,23 higher than that of common acids used for digestions such as HNO3 and HCl, thus making it more compatible with open vessel digestion.
Validation was carried out according to the International Council on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) and International Organization for Standardization (ISO) guidelines.24–26 The instrument precision was determined to be 0.1% (CV) by performing 10 consecutive measurements of Ag on a mid control sample. The accuracy and repeatability (intra-operator precision) were determined for each operator (Table 3). The accuracy was within ±5% of the target values and the coefficient of variance (Cvr) was below 5%. The average accuracy and reproducibility (inter-operator precision) were determined for all three operators. The average accuracy was within ±5% of the target values and the coefficient of variance (CvR) was below 5% (Table 4). The stability of the treated control samples was also evaluated by storing the samples in the dark and analysing them after one week and one month (Table 5). The accuracy of the stored samples was within ±10% of the target values with CVs below 5%.
| Parameter | Operator A | Operator B | Operator C | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Low | Mid | High | Low | Mid | High | Low | Mid | High | |
| Ag (mg) | 0.0276 | 0.337 | 4.09 | 0.0282 | 0.330 | 3.93 | 0.0277 | 0.342 | 4.09 |
| Accuracy (%) | 104.6 | 102.5 | 102.2 | 104.3 | 102.0 | 99.4 | 102.8 | 103.3 | 102.1 |
| Repeatability, Cvr (%) | 4.3 | 0.6 | 0.6 | 0.3 | 1.9 | 0.9 | 1.3 | 1.5 | 0.6 |
| Parameter | Low | Mid | High |
|---|---|---|---|
| Ag (mg) | 0.028 | 0.34 | 4.1 |
| Average accuracy (%) | 103.9 | 102.6 | 101.2 |
| Reproducibility, CvR (%) | 2.6 | 1.4 | 1.7 |
| Parameter | 1 week | 1 month | ||||
|---|---|---|---|---|---|---|
| Low | Mid | High | Low | Mid | High | |
| Ag (mg) | 0.026 | 0.33 | 3.9 | 0.025 | 0.32 | 3.8 |
| Accuracy (%) | 94.5 | 98.7 | 97.8 | 91.3 | 96.2 | 95.3 |
| CV (%) | 4.3 | 0.4 | 0.3 | 4.0 | 0.4 | 0.4 |
The dilution of samples above the upper LOQ was evaluated by preparing control samples with a silver content of 6 mg. The samples were diluted twice as much as the regular samples (2.5 mL was left before dilution instead of 5 mL). The calculated average accuracy for these samples was 100.8% (CV 0.2%, n = 3).
No apparent memory effects were identified during the method development or validation. During the analysis the middle calibration sample (0.5 mg L−1) was run every 10th sample to detect possible drifts in the system.
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