• Non ci sono risultati.

Assessment of asbestos exposure during a simulated agricultural activity in the proximity of the former asbestos mine of Balangero, Italy

N/A
N/A
Protected

Academic year: 2021

Condividi "Assessment of asbestos exposure during a simulated agricultural activity in the proximity of the former asbestos mine of Balangero, Italy"

Copied!
19
0
0

Testo completo

(1)

24 July 2021

AperTO - Archivio Istituzionale Open Access dell'Università di Torino

Original Citation:

Assessment of asbestos exposure during a simulated agricultural activity in the proximity of the former asbestos mine of Balangero, Italy

Published version:

DOI:10.1016/j.jhazmat.2016.01.056 Terms of use:

Open Access

(Article begins on next page)

Anyone can freely access the full text of works made available as "Open Access". Works made available under a Creative Commons license can be used according to the terms and conditions of said license. Use of all other works requires consent of the right holder (author or publisher) if not exempted from copyright protection by the applicable law. Availability:

This is the author's manuscript

(2)

1 2 3 4

This is an author version of the contribution published on:

5

Questa è la versione dell’autore dell’opera:

6

Journal of Hazardous Materials

, 308, 2016

, 10.1016/j.jhazmat.2016.01.056

7

Turci F., Favero-Longo S.E., Gazzano C., Tomatis M., Gentile L., Bergamin M.

8

pagg.321-327

9

The definitive version is available at:

10

La versione definitiva è disponibile alla URL:

11

http://www.sciencedirect.com/science/article/pii/S0304389416300565

12 13 14

(3)

Francesco Turci,[a, b]* Sergio Enrico Favero-Longo[a, c], Claudia Gazzano[a, c], Maura Tomatis[a, b], 1

Laura Gentile[d], and Massimo Bergamini[d] 2

3

Assessment of asbestos exposure during a simulated agricultural activity in the proximity of

4

the former asbestos mine of Balangero, Italy

5 6

[a] “G. Scansetti” Interdepartmental Centre for Studies on Asbestos and Other Toxic Particulates, 7

University of Torino, Italy 8

[b] Dipartimento di Chimica, University of Torino, Via P. Giuria 7, I-10125, Torino, Italy 9

[c] Dipartimento di Scienze della Vita e Biologia dei Sistemi, University of Torino, Viale Mattioli 10

25, I-10125, Torino, Italy 11

[d] Rsa Srl, Viale Copperi,15 Balangero, (To), Italy 12 13 *, corresponding author: 14 Francesco Turci, PhD 15 francesco.turci@unito.it 16 Tel: +39 011 670.7577 17 18 19 20

(4)

Abstract

1 2

The natural occurrence of asbestos (NOA) in rural areas is a serious concern for human health and 3

the dispersion route of asbestos in the proximity of natural asbestos-rich settings has been 4

marginally evaluated so far. NOA may affect air, but also water and soil quality. In rural areas 5

population may be exposed to asbestos with a largely unknown impact on human health. This work 6

investigates the potential exposure of a farmer cultivating a field nearby the largest former asbestos 7

mine of Western Europe (Balangero, Italy). The concentration of waterborne asbestos in the stream 8

used to water the field was measured (ca. 2∙105 fibers per liter, ff/L) and the cultivated ultramafic 9

topsoil characterized, evidencing a remarkable occurrence of chrysotile. The worker’s personal 10

exposure and the environmental fiber dispersion during a simulated agricultural activity (tillage) 11

were quantified in two independent trials. During the trials, the worker was exposed to average 12

concentrations of 16 and 26 ff/L, with a peak of 40 ff/L. These data inform about the possible 13

exposure of an agricultural worker to asbestos concentration higher than the accepted threshold of 2 14

ff/L. The release of asbestos fibers into the environment was negligible (0-2 ff/L). 15

16

Keywords: natural occurrence of asbestos (NOA); waterborne asbestos; chrysotile; ultramafic soil;

17

personal exposure 18

19 20

(5)

1. Introduction

1

Asbestos is one of the most harmful occupational carcinogens causing more than 100’000 deaths 2

per year and exposure to airborne asbestos fibers is held responsible for half of the deaths from 3

occupational cancer [1]. Cases of mesothelioma, the fatal malignancy most commonly caused by 4

exposure to asbestos, have also been described in individuals exposed to the natural occurrence of 5

asbestos (NOA) or asbestos-like minerals in Turkey, Greece, Cyprus, Corsica, Sicily, New 6

Caledonia, Yunnan province (China) and California (USA) [2, 3]. International organizations of 7

health and safety agree on the absence of a “safe” level of asbestos exposure for any type of 8

asbestos fiber, including chrysotile [1, 2]. An environmental background level of 2 fibers per liter 9

(ff/L) is widely accepted and is enforced in many national and international regulations (e.g., Italian 10

law on the remediation of indoor asbestos-contaminated environments, DM 6/9/94). 11

The asbestos route from natural and anthropic sources to human lungs has to be increasingly 12

understood to maximally reduce both occupational and environmental exposures [4]. Environmental 13

asbestos contamination has been primary studied in the air [5], but both water and soil have 14

increasingly deserved the attention of public health agencies and researchers [6-9]. High levels of 15

asbestos fibers have been widely documented in the raw waters of rivers and wells in the 16

surroundings of active and inactive asbestos mines [10-12]. The presence of asbestos fibers in 17

drinking waters has mainly attracted the research interest because of potential direct effects on 18

human health [13-16].The hydrographic network may also contribute to the transport of fibers in the 19

environment, where asbestos may eventually disperse in the air [17]. In particular, exceptional 20

floods of asbestos-polluted waters were shown to deposit centimeter-thick layers of asbestos-rich 21

sediments on soils [18]. Furthermore, contaminated waters from asbestos-rich natural areas are used 22

for irrigation and livestock watering [19]. 23

In this scenario, soil plays a role as both sink and source along the route of asbestos dispersion [20]. 24

Dry, undisturbed, asbestos-rich soils may generate respirable airborne asbestos fibers [21], but low 25

levels of moisture (5-10%) reduce or completely suppress the fiber dispersion in the air [22]. 26

However, specific studies that assess the risk associated to the exploitation of asbestos-27

contaminated soils in agriculture or construction are scarce. Only one report on the agricultural 28

practices on an asbestos-polluted industrial ground is available. Authors show a significant increase 29

of airborne asbestos concentration (up to 16 ff/L, fiber length > 5 µm) in the site after soil 30

cultivation [23]. At the best of our knowledge, the exposure of farmers managing waters and soils in 31

the agricultural surroundings of dismissed asbestos mines is still completely unexplored. 32

To assess if a farmer may be exposed to asbestos fibers, this study: i) characterizes the occurrence 33

of asbestos in surface waters used for irrigation and in an agricultural topsoil in the proximity of the 34

(6)

largest former asbestos mine in Western Europe (Balangero, Italy); and ii) investigates the exposure 1

to airborne fibers during a simulated agricultural activity. A corn-farmed field irrigated and 2

periodically flooded by waters draining the former asbestos mine was selected. Waterborne fiber 3

concentration was measured and fibrous minerals in the topsoil characterized. The environmental 4

fiber dispersion and the human exposure during tillage were simulated and quantified in two 5

independent trials with different meteorological conditions. For the first time, this work assesses the 6

potential risk of a common agricultural activity in an asbestos-polluted environment, addressing the 7

role of both soil and water as source of natural fibers. 8

9

2. Experimental

10

2.1 Sampling sites and simulated agricultural activities

11

The study area (Fig. 1) is the Balangero plain (440 m above sea level, average rainfall 1160 mm/yr., 12

average annual temperature 10 °C) downstream the southern boundary of the former chrysotile 13

mine, which is located in the Ultramafic Lanzo Massif. A main water stream (Rio Banna) collects 14

superficial waters that drain the southern tailings of the Balangero former asbestos mine. Surface 15

waters were sampled along the Banna stream after the confluence with the brooks draining the 16

southern tailings of the mine (water sampling site “W1” in Fig. 1) and ca. 2 km southeast nearby a 17

cultivated corn field (soil sampling site “CF”; 3500 m2) irrigated or periodically flooded by the 18

same untreated water (“W2”). A stream flowing through the serpentine area outside the mine 19

asbestos-rich tailings (“W3”) and two wells (deep water sampling sites “Wd1” close to the mine 20

southern tailings, and “Wd2” upstream the mine basin, as negative control) were also sampled and 21

compared. 22

In the cultivated corn field (“CF”), agricultural activity was simulated during two independent trials 23

(“Day1”, “Day2”) under different meteorological conditions. Temperature, rainfall events, humidity 24

and wind velocity were monitored during the weeks before the trials (Fig. 2). Day1 and Day2, 25

following two and seven days without rain, respectively, mostly differed in relative humidity (67% 26

and 52%, respectively). During each trial, a “farmer” carried out tillage operations in four 27

independent sectors (12×70 m each) of the field with a small agricultural tractor operated for 45 28

minutes per sector. 29

(7)

1

Fig. 1. Study area of Balangero plain. The boundaries of the former asbestos mine are highlighted in 2

red. Superficial water sampling sites: W1, W2, and W3 (negative control); deep water sampling 3

sites: Wd1, and Wd2 (negative control); cultivated corn field (CF), where simulated agricultural 4

operations and soil and air sampling were carried out. 5

(8)

1

Fig. 2. Meteorological conditions during the weeks before the trials (Day1 and Day2, stars): 2

temperature, rainfall events, humidity, and wind velocity were monitored by the meteorological 3

station of Balangero. 4

5

2.2 Waterborne fiber sampling and analysis

6

One liter of water was collected for each sampling site and stored in pre-rinsed bottles at 4 °C to 7

minimize biological contamination. Samples were processed and analyzed according to the 8

technical procedure U.RP.M842-Rev2 prepared by the Italian Environmental Protection Agency 9

(ARPA) for waterborne fiber quantification. Aliquots of the collected waters (200 or 100 mL 10

according to the sample turbidity) were filtered on polycarbonate porous membrane (pore size 0.8 11

Day2

13 Apr 20 Apr 27 Apr 4 May 11 May 18 May 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 W i n d v e l o c i t y ( m / s ) 0 10 20 30 40 50 60 70 80 90 100 R H ( % ) 0 5 10 15 20 25 30 35 R a i n ( m m ) 0 5 10 15 20 T e m p e r a t u r e ( ° C ) Day1

(9)

μm) and dried at 100 °C for 3 hr. A conductive gold coating was sputtered on the membranes to 1

allow for morphological and chemical analysis by scanning electron microscopy coupled with 2

energy dispersive spectrometer (SEM-EDS: Carl Zeiss EVO50-XPV equipped with an INCA 3

Oxford apparatus). A representative portion of 1 mm2 was observed at 4000 × and each particulate 4

with fibrous or acicular habit (length/width ratio > 3) was dimensionally and chemically 5

characterized. The detected chemical elements, the relative peak intensities, and the morphology of 6

the particles were used for the fiber identification (see [24]). 7

8

2.3 Top-soil sampling and analysis

9

During the tillage operations, the tractor was equipped with a home-made device (Fig. 3) to sample 10

the topsoil. Specifically, an industrial vacuum cleaner (HZQ570 Single Motor Vacuum, Numatic 11

International, Chard, Somerset, UK) equipped with a ULPA output filter, a HEPA-FLO vacuum 12

bag, and a collector nose placed at ca. 40 cm from the ground was used. This method allowed for a 13

homogeneous collection of composite, average soil samples from each tilled sector of the field. One 14

sample per trial per sector was collected and homogenized by powdering in an agate mortar. The 15

chemical composition was determined with an EDAX Eagle III energy dispersive micro-XRF 16

(μXRF) spectrometer equipped with a Rh X-ray tube, an EDS Si(Li) detector and an Edax Vision 17

32 microanalytical system software. The mineralogical composition was determined with X-Ray 18

powder diffraction analyses performed using a PANalytical PW3040/60 X’ Pert Pro MPD with 19

Debye-Scherrer geometry and Cu Kα radiation. NaCl was added at 5% weight concentration as 20

internal standard. Soil samples were coated with gold and observed under scanning electron 21

microscopy (SEM: Carl Zeiss EVO50-XPV) to qualitatively assess the occurrence of fibrous 22

minerals. 23

24

(10)

Fig. 3. Tractor performing the simulated tillage was equipped with an industrial vacuum cleaner to 1

sample the stirred and overturned topsoil. 2

3 4

2.4 Airborne fiber sampling and analysis

5

During the tillage operations, airborne asbestos fibers were sampled to evaluate both the exposure 6

of the “farmer” and the dispersion of fibers in the environment. 7

The “farmer” operating the tractor was equipped with a personal air sampler fasten to the worker’s 8

lapel (NIOSH Method 7400) at approx. 150 cm from the ground, mounting a cellulose acetate filter 9

(diameter = 25 mm, pore size = 0.8 μm) and operated at 3 L min-1 during the 45 minute tillage 10

operations. Four samples per trial were thus collected, i.e. one sample for each sector for each trial. 11

During the work the “farmer” wore personal protective equipment for asbestos exposure which did 12

not interfere with fiber sample. 13

Airborne fibers in the environment were collected during each trial using a conventional 14

environmental sampling apparatus placed leeward at the border of the field, equipped with a 15

cellulose acetate filter (diameter = 36 mm, pore size = 0.8 μm) and operated at 10 L min-1 for 3 16

hours. The sampling nose was placed at approx. 150 cm from the ground. 17

The filters were divided in four parts, one of which was coated with gold and observed with SEM 18

(Carl Zeiss EVO50-XVP) operated at 2000× magnification and equipped with an Oxford EDS 19

apparatus. The presence of inhalable (length/width ratio > 3; L > 5 μm; w < 3 μm; WHO 1986) and 20

non-inhalable (L < 5; w > 3) mineral fibers on each filter was quantified in an area of 1 mm2. 21

The following equation was used to quantify asbestos concentration: 22 (Eq. 1) V A a n × = ion concentrat Asbestos , 23

where n, is the number of fibers counted on each filter, a is the area analyzed, A is the total area of 24

the filter, and V is the volume of sampled air. 25

The chemical analysis of each fiber was performed using a Microanalysis Suite Issue 12 (INCA 26

Suite, Oxford Instruments) system. The fibers were identified on the basis of their chemical 27

composition, the relative peak intensities, and the morphology (see [24]). 28

29 30

(11)

3. Results & Discussion

1 2

3.1 Fiber content in water

3

The superficial waters of the river (Table 1) draining the southern slope of the former asbestos mine 4

in Balangero (W1, W2) contained approx. 2∙105 fibers per liter (ff/L). The vast majority of the 5

fibers were identified as asbestos. Specifically only chrysotile among the six minerals defined as 6

asbestos was detected. The fiber content for the two sampling sites was virtually the same, 7

indicating that the distance from the mine tailings does not affect the waterborne fiber 8

concentration. A direct comparison with literature data on similar environments is prevented by the 9

heterogeneity of adopted analytical protocols and instrumentations or by the metric choice (e.g. 10

fiber number or mass per volume). For instance, the fiber concentration from this work is lower 11

than those detected by TEM analysis for asbestos-rich basins in Europe (e.g. from 4 to 156∙106 ff/L 12

in [11]) and North America (e.g. 5∙107- 3∙1011 in [25-27]), but higher than those detected by light 13

microscopy in Russia (e.g. 1∙104 ff/L in a river near Asbest city [13]). The fact that the more potent 14

is the microscopy used, the higher is the level of asbestos, suggests the need for standardized 15

sampling and analysis procedures to consistently compare measurements of waterborne asbestos . 16

Notwithstanding the lack of an absolute reference for waterborne fiber concentration, our analysis 17

shows that fibers in the stream draining the serpentine area outside the mine (W3) were approx. a 18

half of W1 and W2, suggesting that the waters draining the mine tailings may be enriched in 19

asbestos with respect to the natural background of the Ultramafic Lanzo Massif. Similarly, the 20

deep-water sample (Wd1) from a well close to the southern mine tailings contained > 1∙106ff/L, 21

while the asbestos content related to the environmental background (Wd2) was ca. 1∙104 ff/L. These 22

preliminary data suggest that the streams collecting superficial waters draining the asbestos mine 23

tailings, enriched in waterborne asbestos, may become a source of soil pollution. 24

(12)

Table 1. Waterborne asbestos concentration in superficial and deep water sampling sites. Lower and 1

Upper Fiducial Limit (LFL and UFL) of fiber concentration calculated assuming a Poisson 2

distribution for fiber count on each filter. Total fibers (asbestos + non asbestos mineral fibers) are 3

also reported. 4

Sample Location (UTM coordinates) GPS position Asbestos fibers (ff/L) (ff/L) LFL (ff/L) UFL Total fibers (ff/L)

W1 Mine stream -, upper tract X:383244 Y:5014545 Z:32N 215'373 129'668 336'331 294'720 W2 Mine stream -, corn field X:384863 Y:5013811 Z:32N 192'702 133'452 269'281 192'702 W3 External stream (control) X:385427 Y:5014871 Z:32N 102'018 46'469 193'663 113'354 Wd1 Well X:383271 Y:5014090 Z:32N 1'076'863 929'180 1'241'349 1'102'368 Wd2 External well (control) X:381915 Y:5014499 Z:32N 11'335 1'373 40'947 17'003 5 6

3.2 Chemical and mineralogical composition of the topsoil

7 8

The chemical (µXRF) and mineralogical (XRPD) composition of the topsoil collected in the crop 9

filed reflects the proximity of the site to the ultramafic outcrops of Lanzo Massif. High Mg/Ca ratio 10

(> 2) and presence of heavy transition metals (Fe >> Cr, and Ni; Table 2) are typical of ultramafic 11

soils [28]. Serpentine [Mg3Si2O5(OH)4] is indeed detected (Fig. 4) as a major constituent of the soil

12

together with iron oxides (FexOy), commonly found in ultramafic soils. Abundant quartz (SiO2),

13

which is among dominant components of every soil, and albite (NaAlSi3O8), possibly deriving from

14

abundant gabbric and/or gneiss outcrops in the surroundings [29], are also detected. Clay-minerals 15

also occurred (low 2 theta XRPD peaks), which on the basis of their chemical composition can be 16

mainly identified as smectites, which are the main pedogenetic derivatives of serpentine [18, 28]. 17

As expected, SEM observations highlighted that serpentine mainly occurred in the lamellar habit 18

(antigorite), with a minor presence of fibrous individuals (chrysotile; Fig. 5A and B), often 19

organized in fibrous bundles up to 20 μm in diameter. Some fibrous occurrence of smectite (Fig. 20

5C), the main weathering product of chrysotile [18], were also detected. 21

22

Table 2. Micro-XRF analysis of the topsoil averaged from the eight samples (4 sectors per 2 23

sampling days). Results are reported as atomic %. 24

Mg Al Si K Ca Ti Cr Mn Fe Ni

Topsoil of CF (at. %) 10.8 14.2 48.7 3.3 5.8 1.2 0.3 0.3 14.1 0.2

(13)

1

Fig. 4. Powder X-ray diffraction pattern (XRPD) of a representative topsoil sample from CF. Alb: 2

albite, Atg-Ctl: antigorite-chrysotile (serpentine), Arg: clay minerals (e.g. smectite), FexOy: iron

3

oxides (e.g. magnetite, hematite), and Qz: quartz. Sodium chloride (NaCl) was added as internal 4 standard. 5 6 7 A B C 8

Fig. 5. Representative SEM images of fibrous mineral detected in the topsoil of CF. Morphological 9

and chemical analyses (EDS) indicate: chrysotile (A, B), and fibrous smectite (C). 10

11 12

3.3 Exposure to airborne mineral fibers during the simulated agricultural activity

13

Tillage operations on the four sectors of the crop field were replicated in two independent trials 14

(Day1 and Day2). Data, summarized in Table 3, indicate that in all cases the “farmer” was exposed 15

to an asbestos concentration higher than 2 ff/L, the accepted environmental background level for 16

asbestos and the threshold value for indoor environment after asbestos-removal work (e.g., Italian 17

law on the remediation of indoor asbestos-contaminated environments, DM 6/9/94). In the two 18 10 20 30 40 50 60 70 80 Alb 22.1 FexOy 33.0 Arg 19.6 Alb 27.9 c o u n ts ( u .a .) Arg 8.9 Alb 35.4 Qz 68.2 Qz 59.8 Qz 50.1 Qz 20.8 Arg 6.2 Atg-ctl 35.4 Atg-ctl 25.4 Atg-ctl 12.8 Qz 26.5 NaCl 45.4 NaCl 31.7

(14)

trials, the personal exposure to total inorganic inhalable fibers (according to the WHO definition, 1

[30]) ranged around 42 and 68 ff/L and peaked up to 60 and 103 ff/L on specific field sectors (Table 2

3 - row A). Inhalable asbestos fibers (mostly chrysotile) ranged around 16 and 26 ff/L and peaked 3

up to 25 and 40 ff/L, in the two trials respectively. Far from being representative of a time-weighted 4

occupational exposure, our data suggest that the “farmer” may be exposed to a not negligible 5

concentration of airborne asbestos, exceeding by a factor of 10 the 2 ff/L threshold. Interestingly, 6

the only previous work dealing with agricultural activity performed on an asbestos-polluted soil 7

reports about a similar airborne asbestos concentration (up to 16 ff/L, by SEM-EDS, fiber length > 8

5 µm) [23]. Lower concentrations of not inhalable fibers (length < 5 μm and/or diameter > 3 μm) 9

were also detected (Table 3 - row B). The fiber concentrations did not significantly differ in the two 10

trials (p > 0.05), but average values were higher (+60% and +70% for total fibers and asbestos 11

respectively) on the trial performed after a drier period (Day2). Notably, environmental release of 12

inhalable asbestos was only detected in the second trial (2.1 ff/L), with a value close to the 2 ff/L 13

threshold. This possibly indicates that agricultural activity on asbestos-contaminated soils could 14

have a limited impact on the contamination of the surrounding areas and may not pose a risk for 15

general population. Additional field experiments, covering a wider range of agricultural practices 16

and meteorological conditions, are needed to further support this evidence. 17

18

Table 3. Fibers detected in personal and environmental air samples. A, Inhalable fibers (L > 5 μm, 19

d < 3 μm, L/d > 3). B, not-inhalable fibers (L < 5 μm o d > 3 μm, L/d > 3). Data are expressed as 20

means ± standard deviation. The maximum value registered in the four sectors of the field is 21

marked with *. 22

Personal sampling Environmental sampling Sampling

day Asbestos fibers (ff/l) Total fibers (ff/l) Asbestos fibers (ff/l) Total fibers (ff/l)

A 1 15.6 ± 7.4 (*24.9) 42.4 ± 12.7 (*59.8) 0.0 2.3 2 26.4 ± 13.9 (*39.9) 68.1 ± 34.4(*103.0) 2.1 7.3 B 1 6.3 ± 2.5 (*7.5) 16.8 ± 11.2 (*32.4) 0.0 1.1 2 5.0 ± 5.4 (*12.5) 13.1 ± 8.9(*24.9) 1.1 2.3

23

Asbestos represented ca. 40% of inhalable and non-inhalable fibrous minerals detected in both 24

personal and environmental filters. Fig. 6 highlights the average occurrence of different fiber types 25

within the different samples, as discriminated on the basis of morphology and EDS analysis. A 26

Mg/Si ratio between 1.3 and 1.7 was used to discriminate fibrous serpentine, including both 27

chrysotile and rare occurrence of fibrous antigorite (Ctl-Atg), from other asbestos, i.e. tremolite-28

actinolite (Trm-Act). Fibers showing a (Mg+Ca+Fe)/(Si+Al) between 1.3 and 1.7 were also 29

identified as chrysotile-antigorite (Ctl-Atg*) to include those fiber which already underwent a 30

(15)

partial pedogenetic transformation [18]. The vast majority of asbestos fibers could be ascribed to 1

the fibrous serpentine. Representative SEM images and EDS elemental analyses of fibrous 2

serpentine are reported in Fig. 7. Bundles of long, flexuous fibers , having the typical habit of 3

chrysotile (Fig. 7A), were observed. Both micro-bundles and fibrils with nanometric diameters were 4

imaged in such cases. Short, thin fibers, showing an intermediate habit between fibrous and laminar 5

and an aspect ratio between 3 and 10 (Fig. 7B) were also observed. The only other asbestos type 6

detected was fibrous tremolite-actinolite (Trm-Act), identified on the basis of the relative amount of 7

Si, Ca, Mg and Fe. The lack of any other asbestos (e.g. crocidolite and amosite) indicates the 8

absence of disturbance factors from anthropic sources (e.g. asbestos cement materials). Most of the 9

non-asbestos fibers were clay minerals, which are known to occasionally display fibrous habit. 10

Chemical compositions indicated smectite as the dominant clay mineral observed, accordingly to its 11

abundance revealed in topsoil. The occurrence of fibrous smectite is consistent with previous report 12

of airborne fibrous clay phyllosilicates found in similar environment [31]. 13

These data show a strict mineralogical identity or a close pedogenetic relationship between the 14

airborne fibers (par. 3.3), the fibrous component in waters (3.1) and top-soil (3.2), and the fibers 15

formerly exploited in the Balangero mine [29]. Chrysotile Atg) and its weathered phases (Ctl-16

Atg*) are the predominant asbestiform minerals detected in the three investigated media (air, water, 17

and soil). This mineralogical identity highlights the existence of a dispersion pathway where fibers 18

move from the mining area to the Balangero plane via water and air transportation. Accordingly, 19

human exposure to asbestos in the proximity of an asbestos-rich mine may not only derive from the 20

exposed asbestos outcrops and the uncovered tailings in the mining area, but also from its 21

agricultural surroundings, characterized by polluted soil and water. 22

(16)

1

Fig. 6. Occurrence of different fiber types within the personal (A, C) and environmental (B, D) 2

samples, differentiating between inhalable (A, B) and non-inhalable (C, D) fibers. Serpentine fibers: 3

Ctl-Atg (1.3 < Mg/Si < 1.7); and Ctl-Atg* (1.3 < (Mg+Ca+Fe)/(Si+Al) < 1.7); fibrous tremolite-4 actinolite (Trm-Act). 5 6 A B 7

Fig. 7. Representative SEM images of serpentine fibers detected on the “farmer” personal samples. 8

Scale bars, 5 µm (A) and 2.5 µm (B). 9

10

4. Conclusion

11

This study informs about the possible exposure of an agricultural worker to an inhalable 12

concentration of asbestos fibers up to 40 ff/L, when a tillage operation is conducted in an asbestos-13

contaminated crop field. During two trials representing two different meteorological conditions, the 14

worker was always exposed to an asbestos concentration much higher than 2 ff/L, the accepted 15

Environm ental air sam ples: non inhalable fibres

Non-asbestos Ctl-Atg Trm -Act

Personal air sam ples: non inhalable fibres

Non-asbestos Ctl-Atg Trm -Act

Non-asbestos Ctl-Atg

Environm ental air sam ples: inhalable fibres Personal air sam ples: inhalable fibres

Non-asbestos Ctl-Atg Ctl-Atg* Trm -Act Undeterm ined A B C D

(17)

environmental threshold. This work also confirms that asbestos fibers are widespread in the 1

proximity of asbestos-mining sites and affect air, soil, and water quality. The relationship between 2

the environmental proximity to an asbestos-rich setting and the risk of exposure during rural 3

activities should be increasingly considered to enforce proactive policies of environmental safety. 4

5

Acknowledgments

6

This research was funded under the “Progetti di ricerca sanitaria finalizzata 2009” (prot. n. 7

36529/DB2001) of the Regione Piemonte, Italy. The micro-XRF measures have been obtained with 8

the equipment acquired by the “G. Scansetti” Interdepartmental Center for Studies on Asbestos and 9

Other Toxic Particulates with a grant from Compagnia di San Paolo, Torino, Italy. Authors are 10

indebted to Prof. B. Fubini and Prof. C. Siniscalco for fruitful discussion. 11

(18)

References

1

[1] IARC, Asbestos (chrysotile, amosite, crocidolite, tremolite, actinolite, and anthophyllite), IARC, 2

Lyon, 2012. http://monographs.iarc.fr/ENG/Monographs/vol100C/index.php, accessed 28 August

3

2015. 4

[2] WHO, Chrysotile asbestos, World Health Organization (WHO), Geneva, 2014. 5

http://www.who.int/ipcs/assessment/public_health/chrysotile_asbestos_summary.pdf, accessed 28 6

August 2015. 7

[3] G. Hillerdal, Mesothelioma: cases associated with non-occupational and low dose exposures, 8

Occup. Environ. Med., 56 (1999) 505-513. 9

[4] M. Goldberg, D. Luce, The health impact of nonoccupational exposure to asbestos: what do we 10

know?, Eur. J. Cancer Prev., 18 (2009) 489. 11

[5] B.W. Case, J.L. Abraham, G. Meeker, F.D. Pooley, K.E. Pinkerton, Applying definitions of 12

"asbestos" to environmental and "low-dose" exposure levels and health effects, particularly 13

malignant mesothelioma, J. Toxicol. Environ. Health. B Crit. Rev., 14 (2011) 3-39. 14

[6] R.J. Lee, B.R. Strohmeier, K. Bunker, D. Van Orden, Naturally occurring asbestos—a recurring 15

public policy challenge, J. Hazard. Mater., 153 (2008) 1-21. 16

[7] B.D. Thompson, M.E. Gunter, M.A. Wilson, Amphibole asbestos soil contamination in the 17

USA: A matter of definition, Am. Min, 96 (2011) 690-693. 18

[8] F. Turci, M. Tomatis, S. Mantegna, G. Cravotto, B. Fubini, A new approach to the 19

decontamination of asbestos-polluted waters by treatment with oxalic acid under power ultrasound, 20

Ultrason. Sonochem., 15 (2008) 420-427. 21

[9] B. Wei, B. Ye, J. Yu, X. Jia, B. Zhang, X. Zhang, R. Lu, T. Dong, L. Yang, Concentrations of 22

asbestos fibers and metals in drinking water caused by natural crocidolite asbestos in the soil from a 23

rural area, Environ. Monit. Assess., 185 (2013) 3013-3022. 24

[10] R. Coleman, New Idria serpentinite: A land management dilemma, Environmental & 25

Engineering Geoscience, 2 (1996) 9-22. 26

[11] E. Koumantakis, A. Kalliopi, K. Dimitrios, E. Gidarakos, Asbestos pollution in an inactive 27

mine: Determination of asbestos fibers in the deposit tailings and water, J. Hazard. Mater., 167 28

(2009) 1080-1088. 29

[12] B.R. Bandli, M.E. Gunter, A review of scientific literature examining the mining history, 30

geology, mineralogy, and amphibole asbestos health effects of the Rainy Creek igneous complex, 31

Libby, Montana, USA, Inhal. Toxicol., 18 (2006) 949-962. 32

[13] S.V. Kashansky, T.V. Slyshkina, Asbestos in water sources of the Bazhenovskoye chrysotile 33

asbestos deposit, Int. J. Occup. Med. Environ. Health, 15 (2002) 65-68. 34

[14] H. Cunningham, R. Pontefract, Asbestos fibres in beverages and drinking water, Nature, 232 35

(1971) 332-333. 36

[15] M.L. Browne, D. Varadarajulu, E.L. Lewis-Michl, E.F. Fitzgerald, Cancer incidence and 37

asbestos in drinking water, Town of Woodstock, New York, 1980-1998, Environ. Res., 98 (2005) 38

224-232. 39

[16] K. Kjaerheim, B. Ulvestad, J.I. Martinsen, A. Andersen, Cancer of the gastrointestinal tract and 40

exposure to asbestos in drinking water among lighthouse keepers (Norway), Cancer Causes Control, 41

16 (2005) 593-598. 42

[17] K. Anastasiadou, E. Gidarakos, Toxicity evaluation for the broad area of the asbestos mine of 43

northern Greece, J. Hazard. Mater., 139 (2007) 9-18. 44

[18] H. Schreier, J. Omueti, L. Lavkulich, Weathering processes of asbestos-rich serpentinitic 45

sediments, Soil Sci. Soc. Am. J., 51 (1987) 993-999. 46

[19] I.M. Smith, K.J. Hall, L.M. Lavkulich, H. Schreier, Trace Metal Concentrations in an Intensive 47

Agricultural Watershed in British Columbia, Canada1, in, Wiley Online Library, 2007. 48

[20] F. Burragato, G. Gaglianone, G. Gerbasi, S. Mazziotti-Tagliani, L. Papacchini, F. Rossini, B. 49

Sperduto, Fibrous mineral detection in natural soil and risk mitigation (1 (st) paper), Periodico di 50

mineralogia, 79 (2010) 21-35. 51

(19)

[21] S.E. Favero-Longo, E. Matteucci, C. Siniscalco, Plant colonization limits dispersion in the air 1

of asbestos fibers in an abandoned asbestos mine, Northeast. Nat., 16 (2009) 163-177. 2

[22] A. Jones, A. Apsley, S. Clark, J. Addison, D. Van Orden, R. Lee, Laboratory Tests to Compare 3

Airborne Respirable Mass and Fibre Concentrations from Soil Samples from Libby, Montana, 4

Indoor Built Environ., 19 (2010) 286-297. 5

[23] K.R. Spurny, Anthropogener Asbest in Böden, Zeitschrift für Pflanzenernährung und 6

Bodenkunde, 156 (1993) 177-180. 7

[24] E. Belluso, D. Bellis, E. Fornero, S. Capella, G. Ferraris, S. Coverlizza, Assessment of 8

inorganic fibre burden in biological samples by scanning electron microscopy–energy dispersive 9

spectroscopy, Microchimica Acta, 155 (2006) 95-100. 10

[25] J. Lawrence, H.W. Zimmermann, Asbestos in water: mining and processing effluent treatment, 11

Journal (Water Pollution Control Federation), (1977) 156-160. 12

[26] M.J. McGuire, A.E. Bowers, D.A. Bowers, Optimizing large-scale water treatment plants for 13

asbestos-fiber removal, Journal (American Water Works Association), (1983) 364-370. 14

[27] R.C. Bales, D.D. Newkirk, S.B. Hayward, Chrysotile asbestos in California surface waters: 15

from upstream rivers through water treatment, J. Am. Water Works Assoc., (1984) 66-74. 16

[28] R.R. Brooks, Serpentine and its vegetation: a multidisciplinary approach, Dioscorides Press, 17

1987. 18

[29] R. Compagnoni, R. Sandrone, S. Zucchetti, Some remarks on the asbestos occurrences in the 19

Western Alps with special reference to the chrysotile asbestos deposit of Balangero (Valle di Lanzo, 20

Piemonte, Italy), in: Fourth Conference on Asbestos, Torino (Italy), 1980, pp. 20-30. 21

[30] WHO, Asbestos and other natural mineral fibres, International Programme on Chemical Safety 22

(IPCS), 1986. 23

[31] E. Fornero, E. Belluso, S. Capella, D. Bellis, Environmental exposure to asbestos and other 24

inorganic fibres using animal lung model, Sci. Total Environ., 407 (2009) 1010-1018. 25

Riferimenti

Documenti correlati

espropriativo, tra opere pubbliche ed opere private di pubblica utilita` e sulla regola secon- do la quale l’indennita` da corrispondere nel caso di espropriazione finalizzata

La tempesta finanziaria scaturisce infatti dalla crisi del settore dei mutui subprime negli Stati Uniti, per poi contagiare a catena i paesi che maggiormente

Optical coherence tomography findings: insights from the “randomised multicentre trial investigating angiographic outcomes of hybrid sirolimus-eluting stents with biodegradable

The economics of compulsory licensing, so far, has focused exclusively the effects on both users and producers of technological knowledge in the markets for the products that

As shown in the following, these frames are used in very different ways by the actors involved in the debate, also as a consequence of the different sub-issues involved in

Differentiated CaCo-2 cells were treated with either 0.2 µg/mL anti-TLR2 or anti-TLR4 antibodies and IL-8; IFNβ and TNFα cell release was detected after 24-hour cell incubation with

Il problema di questi approcci è che le variazioni di espressione degli mRNA o delle proteine non sono frutto della sola regolazione diretta da parte del miRNA, ma possono

Come ogni passaggio da un’epoca storica ad un’altra, anche quello tra monarchia e repubblica è stato graduale e la presenza di fasci di verghe e scuri anche in quest’ultimo