Experiment setup
The experiment was carried out in a sample of the material of the dump in which the cyanidation waste of the oxidation zone of the Beloklyuchevskoe deposit was stored.
The experiment setup included heating a sample of the waste material on an adjustable heating element; purging it with an airflow using a pump, a flow rate meter, and a BQ-class aerosol filter with a 1.5 L/min airflow and controlling the amount of aerosol particles in the air above the sample; collecting the condensate formed during the heating of the solid sample using a bubbler; and collecting the air into a sorbent for gas composition analysis (Fig. 1). The sample temperature was determined using a digital thermocouple thermometer (Fig. 1). The concentration of the aerosol particles in the tank was monitored using an ADS that consumes 1 L/min, and was controlled from a personal computer (developed and manufactured at ICKC SB RAS). An ADS was designed for the automatic determination of the concentration and size spectrum of the aerosol particles. The principle of operation of the device was based on the known dependence of the diffusion coefficient of microparticles on their size.
The main element of the ADS was a mesh-type diffusion battery. The filling of the battery was in the form of packs of meshes arranged perpendicular to the flow. The range of particle diameters measured by the ADS was approximately 3–200 nm. The diffusion battery consisted of eight sections connected in series. The technical side of the spectrometer operation was reduced to sequential counting of the number of aerosol particles as the flow passes through the sections.
The operation of the device was based on the dependence of the diffusion coefficient of microparticles on their size:
where k is the Boltzmann constant, T is the temperature, № is the air viscosity, r is the particle radius, l is the free path, A = 1.246, B = 0.42, b = 0.87.
This dependence leads to the fact that particles of different sizes have different deposition rates when the aerosol flow passes through porous media; that is, smaller particles move faster out of the flow, and thus, the coefficient of passage of particles through such medium contains information on the particle size. This circumstance is used in ADSs.
The positive difference between the air entering and leaving the container ensured reliable isolation of the sample from external aerosol. In the course of the experiment, after the cleanliness of the air path was checked, the heater was turned on, and every 5 s, a countable amount of aerosol particles with a diameter of more than 3 nanometers was recorded.
Thus, during the experiment, the condensate of the vapor–gas mixture separated from the sulfide waste substance was collected with constant control of the particle size in the flow.
Methods for analyzing the composition of the waste material
The history of formation, chemical and mineral composition of the dump was described by us earlier [26]. The sample for the experiment was a substance of quartz-pyrite bulk. To characterize the chemical composition of the sample, the content of oxides of the silicate group, the concentration of metals and metalloids were determined. The contents of major oxides in the bulk solid samples were determined via X-ray fluorescence analysis from a 3 g sample aliquot [26]. The elemental composition of solid material was determined using inductively coupled plasma atomic mass spectrometry ELAN-9000 DRC-e, Perkin Elmer, USA (“PLASMA” Company, Tomsk). The amount of mobile (water-soluble) forms of elements was determined from the composition of the aqueous extract. We used the standard procedure for obtaining aqueous extract from the waste material, according to the scheme: 10 g of the sample was left in 100 ml of bidistilled water for 24 h on a magnetic stirrer. Aliquots of the obtained solutions were separated from solids by filtering through 0.45 μm membrane filter [26].
Methods for the analysis of condensates and aqueous extracts from waste materials
The contents of the inorganic and organic anions (SO42−, Cl−, PO43-, HCOO-) in the aqueous extracts and condensates were measured with a Kapel 105-M capillary electrophoresis system (Lumex, Russia). Quantitative analysis was carried out using an external calibration against the areas of ions peaks using the Elforun software. For replicate of multiple samples, the relative standard deviation was less then ±15% in the concentration range from 0.1 mg/l to 200 mg/l [27].
Agilent 8800 ICP-MS instrument (Japan) equipped with MicroMist nebulizer was applied for the elements determination in water samples. High-purity argon (99.95%) was used as plasma-forming, transporting and cooling gas. A solution of 7Li, 59Co, 89Y and 205Tl in 2% nitric acid with a concentration of 1μg ∙L-1 for each determined element ("Tuning Solution", USA) was used for the adjustment. All measurements were conducted in three replicates (n = 3) for each element. The relative standard deviation did not exceed 13% for all measurements [27].
Method of analyzing the gas composition of the air above the sample surface
Analyses of the gases from the sample were carried out using a field GC/MS previously developed and manufactured at the Laboratory of Field Analytical and Measurement Technologies of IPGG SB RAS [28]. A parallel weighed portion of the sample (1 kg) with which the experiment was carried out was placed into a 1 L hermetically sealed glass pot. The sample was analyzed at a temperature of 50°C [24,26]. After the sample was kept at this temperature for 1 h, 500 ml of the sample’s gas phase was pumped from the glass through concentrators comprising thin-walled stainless steel tubes with an outer diameter of 2 mm containing a layer of Tenax-TA sorbent (0.015 сm3). The gas sample was introduced into the GC column through direct flash thermal desorption in a stream of helium at a temperature of 300°C. The parameters of the GC column were 0.32 mm × 1 μm × 15 m (HP-5MS, Agilent Technologies, USA). The GC separation mode involved holding the temperature at 90°C for 3 min then increasing it to 250°C at a rate of 10°C/min. The resulting GC/MS data were processed using the AMDIS (Automatic Mass Spectral Deconvolution and Identification System) program, and identification of the individual components was performed using the mass spectra of electron ionization using NIST/EPA/NIH Mass Spectral Library 2014.
In our previous studies, a number of sulfur- and selenium-containing compounds was identified in the steam–gas emissions of dumps with a similar composition [29], among which a significant proportion consisted of very volatile organic compounds with boiling points up to 50°C. The World Health Organization has identified these as an independent subgroup [30] because their quantitative determination in the air requires special analytical procedures due to the difficulty of capturing them using standard sorbents such as Tenax.
The main method of assessing the concentration is normalizing the area of the chromatographic peak of the analyte to the area of the peak of the reference substance, determined under the same analysis conditions. In this work, we used a source of the standard concentration of 2,4,6-trinitrotoluene vapors, prepared by applying a reference substance to the surface of a carrier with a developed surface [31] (Institute of Chemistry SB RAS, Novosibirsk). The support is based on fine stainless steel grids coated with a solution of the required concentration of the reference substance in polyphenyl ether. At room temperature, the concentration of 2,4,6-trinitrotoluene was 0.8 ppb (7.4 μg/m3). With this method of assessing concentrations, the largest contribution to the measurement error of very volatile organic substances (e.g., carbon disulfide, dimethyl selenide, dimethyl disulfide) is made by the analyte capture coefficient Ki, which is defined as the fraction of the captured substance during sampling for the concentrator compared to the total capture. The reference substance is completely captured.
To consider incomplete capture, we experimentally measured the capture coefficients for acetone, dimethyl carbonate (DMC), dimethylethyl carbonate (DMEC), and dimethyl methyl phosphonate (DMMP), and based on these data, the aforementioned parameter was approximated for the analytes under study based on chromatographic retention indices. The experiment data for determining the collection coefficients are shown in Fig. 2.
As a result of this semi-quantitative approach, the concentration of analyte Ci was calculated using the following formula:
where Сi, С0 - concentrations of analyte and reference substances, respectively; Si, S0 – the area of the peak of the analyte and reference substance, respectively; Vi, V0 – the volume of the analyte sample and the reference substance, respectively; Ki – analyte recovery factor.