Harry A. Roels* and Jean-Pierre Buchet
Industrial Toxicology and
Occupational Medicine Unit, Université catholique
de Louvain, Clos Chapelle-aux-Champs
30.54, B-1200 , Brussels, Belgium. E-mail: roels@toxi.ucl.ac.be; buchet@toxi.ucl.ac.be; Fax: +32
2 7643228
First published on 14th February 2001
The present study aimed to assess whether urinary germanium concentration can be used as a biomarker of inhalation exposure to airborne dust from metallic germanium (Ge) or GeO2 in the occupational setting. A novel hydride generation-based method coupled with flow-injection graphite furnace atomic absorption spectrometry (HG/FI-GFAAS) was developed for the determination of urinary germanium. It was found that urinary germanium concentration could be reliably determined by a standard additions method after thorough digestion of the urine and careful pH adjustment of the digest. The limit of detection (LOD) in urine for the HG/FI-GFAAS method was 0.25 µg Ge L−1. In Belgian control male subjects, the urinary germanium concentration was below this LOD. In 75 workers currently exposed to inorganic germanium compounds, respirable and inhalable concentrations of germanium in the aerosols were measured on Monday and Friday at the job sites using personal air samplers. Spot-urine samples were collected on the same days before and after the work shift. The germanium concentrations of respirable dust correlated very well with those of inhalable dust and represented 20% of the inhalable fraction. Workers exposed to metallic Ge dust were on average ten times less exposed to germanium than those whose exposure involved GeO2 (3.4 versus 33.8 µg Ge m−3). This difference was reflected in the urinary germanium concentrations (3.4 versus 23.4 µg Ge g−1 creatinine). Regression analysis showed that the concentration of germanium in the inhalable fraction explained 42% of the post-shift urinary germanium concentration either on Monday or on Friday, whereas in a subgroup of 52 workers mainly exposed to metallic germanium dust 57% (r = 0.76) of the Monday post-shift urinary germanium was explained. Urinary elimination kinetics were studied in seven workers exposed to airborne dust of either metallic Ge or GeO2. The urinary elimination rate of germanium was characterised by half-times ranging from 8.2 to 18.1 h (on average 12 h 46 min). The present study did not allow discrimination between the germanium species to which the workers were exposed, but it showed fast urinary elimination kinetics for inhalation exposure to dust of metallic Ge and GeO2. It pointed out that urine samples taken at the end of the work shift can be used for biological monitoring of inorganic germanium exposure in the occupational setting.
Unlike the well-documented toxicological database on oral intake of germanium compounds, much less is known about the inhalation toxicity of inorganic germanium. We are not aware of any controlled study in humans allowing the assessment of the pulmonary absorption and urinary excretion rates of inorganic germanium compounds. There is one old investigation in rodents exposed to respirable particulate aerosols generated from neutron-activated 71Ge metallic dust or 71GeO2 powder (mean diameter: 1.7 and 0.45 µm, respectively) that showed a relatively fast disappearance of radiogermanium from the lungs (for 71Ge, 52% at 1st and 82% at 7th day; for 71GeO2, 79% at 1st and nearly 100% at 4th day) and a rapid urinary elimination.11,12
Germanium is a precious by-product of non-ferrous metallurgy and is of economic and strategic importance.6 The global production of the most important inorganic germanium compounds (viz. metallic Ge, GeCl4, and GeO2) varies between 30 and 80 metric tonnes per year.1,6 Metallic Ge is used in the manufacture of lenses and windows for infra-red optics, semiconductor electronics, and extremely pure Ge single-crystals for high-energy radiation photodetectors. High-purity GeCl4 is an important compound in the fabrication of optical fibres for telecommunication. GeO2 is used in the poly(ethylene terephthalate) production as a catalyst, in the synthesis of organogermanium compounds, and in the manufacture of phosphorescent germanate crystals or crystals useful for scintillation detection.6 Chronic occupational exposure to germanium mainly occurs through inhalation of airborne germanium-containing dust generated from the production and utilisation of metallic Ge or GeO2 powder. Stokinger13 concluded from animal experiments that these two germanium compounds are of comparatively low toxicity by all routes of administration tested including inhalation which led to the consideration of them as hardly an industrial health hazard for humans.6,14,15 Recent findings, however, suggest that the germanium risk at the workplace may need adequate surveillance.16
In the industrial setting, the exposure intensity to a toxic compound is usually assessed by monitoring its atmospheric concentration through personal and/or workroom air sampling at the job sites (external dose). This approach has limitations as it does not take into account personal differences (e.g., age, gender, height, weight, physical aptitude, physiological and nutritional status, duration of exposure), the possibility of other routes of exposure (viz., oral or dermal), or inter-individual differences as to exposure, absorption, distribution, biotransformation, and excretion. Assessment of the absorbed quantity of the toxic compound (internal dose) through a biological method takes into account most of these individual parameters.17
The present study in workers exposed to inorganic germanium compounds deals with both exposure assessments. However, to assess the internal dose we needed to develop a novel analytical method allowing a reliable determination of germanium in urine which posed a real challenge as to sensitivity and accuracy requirements because the metal is only present in trace amounts and the biomatrix of urine is variable and complex. Spectrophotometric methods based on the formation of Methylene Blue–molybdogermanate18 or Ge(IV) phenylfluorone19,20 complexes had limits of detection (LODs) of 7 and 48 µg Ge L−1, respectively, too high for adequate determinations in human urine. Flame atomic absorption spectrometry (AAS) showed poor sensitivity because Ge tends to form stable oxide species in the flame and graphite furnace AAS (GFAAS) methods often suffered from losses of volatile germanium compounds (GeO, GeCl4) formed during the incineration stage.21–23 CCl4-based extraction of acid digested biomaterials combined with the use of Co(NO3)2 as matrix modifier in GFAAS analysis has been shown to suffer from losses of germanium during the extraction step and the LOD (4.5 µg Ge L−1) was still insufficient for the measurement of Ge in urine.24 Hydride generation (HG) AAS methods involving GeH4 gas formation in combination with a graphite furnace showed detection limits from 1.4 ng Ge L−1 for 100 mL water samples25 to 100 µg Ge L−1 for 20 µL aqueous solutions.26 The breakthrough for small volume samples came when the electrographite tube was used as both the hydride trapping cell and the atomisation cell in combination with a flow-injection (FI) system.27,28 A significant improvement of this concept has been introduced by Shuttler et al.29 through the application of a manual injection of 0.1 mL of a Pd–Ir-based trapping reagent into the electrographite tube followed by a specific thermal treatment of the tube.
For the present study, we took advantage of the analytical findings of Shuttler et al.29 and developed a novel HG-based/FI-GFAAS method (HG/FI-GFAAS) in order to reach a sufficiently low detection limit for the determination of germanium in urine. Personal air samples and urine samples were collected in germanium-exposed workers to assess the validity of urinary germanium as biomarker of occupational exposure to airborne inorganic germanium. We also made a limited attempt to throw some light on the urinary elimination kinetics of inorganic germanium in humans.
In seven of those workers, we investigated the elimination rate of germanium in urine on another occasion when they finished their work on Friday afternoon and had the weekend off. Spot-urine samples were taken on Friday before and after the shift. The workers were then instructed to collect at home spot-urine samples in the morning, afternoon, and evening of Saturday and Sunday. The last urine sample was taken just before they resumed their work on Monday morning.
Potassium phosphate buffer 0.4 mol L−1,
pH 6, was prepared by dissolving 108.9 g KH2PO4
in 1 L water, adding 17.5 mL NaOH 10 mol L−1
(40 g
NaOH dL−1), and completing the volume to 2 L
with water. The pH was adjusted to 6 by adding NaOH 10 mol L−1
or H3PO4
(85%). Potassium phosphate
buffer 0.2 mol L−1, pH 6, was obtained
by dilution of the former. A pH-indicator mixture was prepared by dissolving
15 mg m-Cresol Purple and 25 mg Chlorophenol Red
in 25 mL ethanol 20%. NaBH4 solutions (0.4% m/v)
were freshly prepared each day by adding 2 g of solid NaBH4
to 50 mL of water containing 100 mg NaOH, then the volume was
brought to 500 mL with water. This solution was kept in an ice bath
during the analysis. The coating/trapping reagent was prepared by mixing
9 mL of 1 mg Ir mL−1 solution
with 1 mL of 10 mg Mg mL−1 solution,
yielding an iridium–magnesium solution of 0.09 and 0.1% m/v
for iridium and magnesium, respectively. Germanium calibration solutions were
prepared by dilution of the 1 g Ge L−1
standard solution with potassium phosphate buffer 0.2 mol L−1,
pH 6, to obtain a series of solutions of which the germanium concentration
varied from 0 (blank) to 50 µg Ge L−1
for HG/FI-GFAAS and from 0 (blank) to 250 mg Ge L−1
for flame AAS measurements. Potassium phosphate buffer 0.2 mol L−1,
pH 6, was used as blank. The solutions were kept at 4°C
and used for up to 6 months.
(i)
Wet digestion. Typical aliquots of 15 mL urine
were digested in open pyrex tubes each containing a few glass beads and were
placed in a Tecator Digestion System 40 (Digester 1016 and Autostep 1012
Controller). Before use, glass and pyrex ware was soaked in NaOH 1 mol L−1
and rinsed with Nanopure water. The digestion comprised three steps: 1st step,
add 5 mL HNO3 14 mol L−1
to the urine and warm up to 75°C (ramp 1 h, hold 30 min);
2nd step, cool down, add 2.5 mL HNO3 14 mol L−1
and 5 mL H2O2 30%, and heat successively
to 100
°C (ramp 6 h, hold 30 min) and 120
°C (ramp
3 h, hold 15 h) to reduce the volume to about 1 mL (avoid
dryness); 3rd step, cool down, add 2 mL Nanopure water and 2 mL
H2SO4 18 mol L−1, mix
well, add 5 mL H2O2 30%, and heat successively
to 50
°C (ramp 45 min, hold 2 h), 80
°C (ramp
6 h, hold 1 h), 150
°C (ramp 4 h,
hold 2 h), and 180
°C (ramp 1 h, hold 2 h)
to evaporate the remaining nitric acid (avoid dryness). If the resulting
digests (about 2 mL) were not colourless, 0.25 mL
of H2O2 30% was added and the mixture heated
at 70
°C until disappearance of the brownish colour.
(ii)
pH adjustment. The H2SO4-based
digests were diluted each with 15 mL potassium phosphate buffer 0.4 mol L−1,
pH 6, and then 0.2 mL of the pH-indicator mixture was added
to allow visual pH monitoring upon addition of NH3 13.5 mol L−1
in aliquots of 0.25 mL until the colour shifted from red to yellow (pH
zone 1.2–2.8); subsequently a drop of NH3 13.5 mol L−1
at the time was added until the yellow colour turned persistently to mauve (pH
zone 4.8–6.4). Eventually, the pH was adjusted to a value between
5.5 and 6.0 using diluted H2SO4 or NH3 solutions
while controlling with a Gilson pH meter. The mixtures were further diluted
with Nanopure water to a final volume of 30 mL and stored at 4°C
in capped polystyrene tubes (Nunc, Life Technologies, Merelbeke, Belgium).
(iii) Generation of GeH4. Gaseous GeH4 was generated using a set-up comprising a Perkin-Elmer autosampler AS-90 linked to a hydride generation/flow-injection analysis system (Perkin-Elmer HG/FIAS-400) consisting of a multi-pump/channel/valve-system programmed to carry out the following steps on-line: sampling of a fixed volume of analyte solution (sample loop: 0.1 mL) and mixing with the carrier stream (potassium phosphate buffer 0.2 mol L−1, pH 6), then transport to the reaction cell for mixing the sample with NaBH4 0.4% solution. The in situ generated GeH4 gas was separated by passing the reaction mixture through a bed of small glass beads functioning as a gas/liquid separator with argon as sweeping gas (flow 10–20 mL min−1).
(iv)
Trapping of GeH4 and atomisation. GeH4
was swept away by the argon flow and led via Teflon tubing to a Perkin-Elmer
autosampler AS-70 equipped with a quartz capillary at the injection tip.
The GeH4 was injected and trapped into the Ir–Mg coated THGA
tube which was heated at 400°C during the injection sequence.
The generation, injection, and trapping of GeH4 occurred on-line
in a synchronised timed sequence lasting about 60 s. It is believed
that during this step GeH4 ad/absorbs onto the surface of the
coated graphite which in turn catalyses its decomposition in Ge and H2.
The actual electrothermal atomisation programme comprised three steps: 1st
step, purge of the oven with an argon flow of 250 mL min−1
at 400
°C (ramp 1 s, hold 5 s); 2nd step,
atomisation of the trapped Ge at 2400
°C (stop argon flow,
ramp 0 s, hold 6 s); 3rd step, cleaning of the oven at
2400
°C (argon flow 250 mL min−1,
ramp 1 s, hold 5 s). The atomic absorption signal of Ge
was measured at 265.1 nm (Perkin-Elmer ‘System 2’
electrodeless discharge lamp) with a slit setting of 0.2 nm and
integrated over the 6 s period the actual Ge atomisation lasted (rollover
as from 1.8 units of time-integrated absorbance).
Default spectrometer conditions as defined by Perkin-Elmer (Überlingen, Germany) and automatically recalled by the software, were employed. The complete system was controlled by a GEM (Digital Research) based PEAALABS software running on a PC equipped with an IEEE-488 interface allowing communication with the Zeeman 4100ZL atomic absorption spectrometer, the autosamplers AS-90 and AS-70, and the HG/FIAS-400. Acquisition and treatment of data were carried out with the same PC. The germanium concentration in urine was expressed either in µg Ge L−1 or in µg Ge g−1 creatinine to normalise for urine dilution.
In typical routine conditions, batches of duplicate aliquots of 19 urine
specimen were prepared and two blanks (15 mL water). The
wet digestion step took about two days to obtain the final H2SO4-based
colourless mineralised urine, because the digestion temperature must be increased
very slowly to limit a too violent oxidation reaction of H2O2
and to enable in H2SO4 the H2O2-mediated
production of monoperoxosulfuric acid which is a very strong oxidant. These
precautions would also help to avoid possible loss of volatile germanium compounds, e.g.
GeO, and similarly, we do yet not know whether biotransformation of inorganic
germanium would occur in animals or humans that would lead to the excretion
of methylated germanium derivatives in urine.15
As the whole digestion procedure is programmed and auto-controlled, it
takes only a minimum of a technician's time to add the different reagents
and to supervise the digestion. The pH adjustment is a crucial step and needs
time, whereas the HG/FI-GFAAS method is fully automated taking about
4 min per run of germanium measurement. The Ir–Mg coating as
applied in the present procedure provides sufficient stability for the completion
of 90 to 120 trapping/atomisation cycles that roughly corresponds to 6–8 h
of work. This is at variance with Shuttler et al.29
who obtained a coating (Pd–Ir) stability of 300 cycles for
the determination of selenium, however, it should be pointed out that the
atomisation temperature for Se is only 2050°C. Preliminary tests
have shown that at an atomisation temperature of 2100
°C no atomic
absorption signal for Ge is produced and that in terms of number of complete
trapping/atomisation cycles the lower performance of the present HG/FI-GFAAS
method is most likely due to the much higher atomisation temperature needed
for Ge.
Monday | Friday | |||
---|---|---|---|---|
GM (GSD)a | Min–max | GM (GSD)a | Min–max | |
a Geometric mean and geometric standard deviation.b On Monday 65 and on Friday 69 pre-shift urine samples had germanium concentrations above the LOD; all 75 post-shift urine samples, either on Monday or on Friday, had concentrations >0.25 µg Ge L−1.c Bonferroni multiple comparison test: 0.05 < p < 0.1 vs. Monday pre-shift urine.d Bonferroni multiple comparison test: p < 0.01 vs. Monday pre-shift urine.e p < 0.001 vs. Monday pre-shift urine. | ||||
Ge in air/μg Ge m−3 | ||||
Respirable (n = 75) | 1.07 (3.21) | 0.03–40.7 | 0.92 (3.98) | 0.02–37.2 |
Inhalable (n = 75) | 5.11 (7.63) | 0.07–343.9 | 5.11 (9.19) | 0.03–292.5 |
Ge in urine/μg Ge g creatinine−1 | ||||
Pre-shiftb | 1.36 (2.50) | 0.23–20.2 | 3.16 (3.61)c | 0.30–70.8 |
Post-shift (n = 75) | 4.22 (4.96)d | 0.16–160.0 | 4.34 (5.86)e | 0.12–194.6 |
On a group basis, the type of job site seemed to influence to some extent the external exposure which was also reflected in the urinary germanium concentrations. In the fifty workers at job sites with only exposure to dust of metallic Ge, the geometric mean (GSD) of the germanium concentration for inhalable dust averaged on Friday 3.42 (1.28) µg Ge m−3 against 33.84 (5.88) µg Ge m−3 for the twelve workers whose exposure involved GeO2 dust. The corresponding geometric mean values for the germanium concentrations in the post-shift urine samples of Friday were 3.37 (1.23) and 23.39 (4.30) µg Ge g−1 creatinine. Apart from the concentration factor, no distinct distribution pattern of the urinary germanium values was found that might relate to the chemical species of germanium.16 In the total worker population (n = 75), the regression analysis showed for Monday and Friday that the post-shift urinary germanium concentration (in µg Ge g−1 creatinine) was for 42% (p < 0.0001) explained by the concentration of inhalable germanium (in µg Ge m−3) (Monday: log Geurine = 0.2448 + 0.5367 log Geair; Friday: log Geurine = 0.2490 + 0.5473 log Geair). We looked also more closely to the relationship between post-shift urinary germanium and atmospheric germanium measured on Monday and Friday in a subgroup (n = 56) of workers with a clear-cut pattern of job site exposure. Therefore we combined the workers exposed to germanium metal dust (n = 50) with the six workers whose exposure involved germanium metal dust and GeO2 dust. For the regression analysis we deleted from this subgroup the data points having a urinary germanium concentration lower than 0.3 µg Ge g−1 creatinine (practical detection limit for urine). Three data points were deleted from the Monday data set and two from the Friday data set. One worker, the same on Monday and Friday, was also excluded from this analysis because of low urinary germanium in the presence of high air germanium. The regression analysis for the Friday data set (n = 53) of post-shift Geurine (in µg Ge g−1 creatinine) and inhalable Geair (in µg Ge m−3) showed a correlation coefficient of 0.66 (p < 0.0001) and the regression equation was log Geurine = 0.3712 + 0.4540 log Geair. The corresponding results for the data set of Monday (n = 52) were log Geurine = 0.2873 + 0.5591 log Geair (r = 0.76; p < 0.0001) (Fig. 1). The relationship was thus better for the Monday data set and may be due to the fact that after the weekend without exposure, the post-shift urinary germanium reflected better the germanium amount absorbed on the first workday of the work week, whereas the post-shift urine samples of Friday were most likely also influenced by the germanium exposure of the days before.
![]() | ||
Fig. 1 Scatter plot and relationship between the concentration of germanium in post-shift urine samples as a function of the concentration of germanium in the inhalable aerosol fractions on Monday in workers exposed to metallic germanium dust (▲) or metallic germanium and GeO2 dust (◆). |
These results showed that post-shift germanium concentration in urine of workers occupationally exposed to inorganic germanium compounds unequivocally reflects current inhalation exposure. Hence, the measurement of urinary germanium may be useful for the biomonitoring of occupational exposure to inorganic germanium compounds.
Exposure to metallic Ge dust | Exposure to GeO2 dust | ||||||
---|---|---|---|---|---|---|---|
Cutting, polishing | Cleaning lenses | Etching, crystal pulling | Bagging | Grinding | Cleaning furnace | Filter-distillation | |
a The elimination kinetics were calculated using the germanium concentrations in the available urine samples collected as from Friday post-shift to Monday pre-shift. The exact time elapsed were calculated taking as t = 0 the time when the post-shift urine sample was collected on Friday.b Pearson correlation coefficient. | |||||||
Friday— | |||||||
Pre-shift | 0.8 | 1.5 | 138.1 | 50.6 | 284.3 | 597.0 | 229.7 |
Post-shift | 11.9 | 5.6 | 203.1 | 76.7 | 1978.9 | 1570.2 | 2121.7 |
Saturday— | |||||||
Morning | — | 3.9 | 24.8 | 25.2 | — | 278.2 | 402.6 |
Afternoon | 5.0 | 3.5 | 32.8 | 25.0 | 460.4 | 103.4 | 419.6 |
Evening | 3.0 | 2.8 | 7.5 | — | — | 65.6 | 125.3 |
Sunday— | |||||||
Morning | 1.8 | 1.1 | 10.4 | 11.3 | 211.5 | 56.1 | — |
Afternoon | — | 0.9 | — | 12.1 | 145.2 | — | — |
Evening | 2.0 | — | — | — | — | — | 84.5 |
Monday— | |||||||
Pre-shift | 0.6 | — | 5.6 | 2.6 | 12.4 | — | 31.0 |
Half-life/ha | 18.13 | 15.13 | 12.39 | 14.40 | 8.60 | 8.20 | 12.54 |
rb | 0.971 | 0.987 | 0.873 | 0.973 | 0.957 | 0.967 | 0.978 |
p | <0.005 | <0.001 | <0.025 | <0.005 | <0.025 | <0.01 | <0.001 |
Footnote |
† Presented at the Whistler 2000 Speciation Symposium, Whistler Resort, BC, Canada, June 25–July 1, 2000. |
This journal is © The Royal Society of Chemistry 2001 |