The Scientific World Journal

Volume 2013 (2013), Article ID 458793, 8 pages

http://dx.doi.org/10.1155/2013/458793

Research Article

Determination of Interesting Toxicological Elements in PM2.5 by Neutron and Photon Activation Analysis

Pasquale Avino,¹ Geraldo Capannesi,² Francesco Lopez,³ and Alberto Rosada²

¹Air Chemical Laboratory, DIPIA, INAIL Settore Ricerca, Via IV Novembre 144, 00187 Rome, Italy

²UTFIST-CATNUC, ENEA, Via Anguillarese 301, 00060 Rome, Italy

³Dipartimento di Agricoltura, Ambiente Alimenti (DIAAA), University of Molise, Via De Sanctis, 86100 Campobasso, Italy

Received 27 April 2013; Accepted 13 June 2013

Academic Editors: G.-C. Fang, J. Sun, and C. Varotsos

Copyright © 2013 Pasquale Avino et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Human activities introduce compounds increasing levels of many dangerous species for environment and population. In this way, trace elements in airborne particulate have a preeminent position due to toxic element presence affecting the biological systems. The main problem is the analytical determination of such species at ultratrace levels: a very specific methodology is necessary with regard to the accuracy and precision and contamination problems. Instrumental Neutron Activation Analysis and Instrumental Photon Activation Analysis assure these requirements. A retrospective element analysis in airborne particulate collected in the last 4 decades has been carried out for studying their trend. The samples were collected in urban location in order to determine only effects due to global aerosol circulation; semiannual samples have been used to characterize the summer/winter behavior of natural and artificial origin. The levels of natural origin element are higher than those in other countries owing to geological and meteorological factors peculiar to Central Italy. The levels of artificial elements are sometimes less than those in other countries, suggesting a less polluted general situation for Central Italy. However, for a few elements (e.g., Pb) the levels measured are only slight lower than those proposed as air ambient standard.

1. Introduction

The distribution of elements in airborne particulate matter is fundamentally determined by resuspension of various substances of natural and/or artificial origin, by their type of circulation due to the meteorological events, and by the chemical behavior of the elements.

Anthropogenic activities introduce into the environment materials that give rise to increasing levels of many substances which may endanger the environmental quality and represent a hazard to human health.

Major attention has been given to those elements who are more liable to alter the environment and endanger human health.

Trace elements in airborne particulate are an important issue for the implications regarding the health effects of some elements (e.g., Cd, Hg, and Pb). Furthermore, the airborne particulate matter pollutant, especially the distribution and multielemental composition of fine particles with diameter <2.5 μm (PM2.5), is considered one of the most difficult tasks in environmental chemistry for its complex composition and implications that complicate notably the behavior comprehension [1–5].

Since pollution from trace elements has been considered, the evaluation of background levels due to natural pathways of circulation seems the proper preliminary action to be undertaken. This study was therefore extended as far back as possible in time (from 1965 until 2000) in order to analyze the trend of airborne concentration of pollutant elements in connection with the industrial and lifestyle growth during the entire period.

Instrumental nuclear techniques are widely used in this field [4, 6–28] as they represent the most reliable method for analyzing trace and/or ultratrace elements in air particulate PM2.5. Instrumental Neutron Activation Analysis (INAA) as well as Instrumental Photon Activation Analysis (IPAA) have been employed in this work to measure interesting toxicological elements. In particular, over metals such as As, Cd, Cr, Hg, Pb, Sb, and Zn considered of greater health concern, other elements of relevant environmental interest or less considered previously were measured.

2. Experimental Part

2.1. Sampling

For particulate matter sampling a dichotomous sampler (mod. SA 241, Graseby-Andersen) operating at 16.7 L min⁻¹ was used. This sampler has a PM10 size selective inlet and separates the aerosol into fine (aerodynamic diameter, , <2.5 μm) and coarse () fractions. Particulate matter was collected on polymethylpentene ringed, 2.0 μm pore size, 37 μm, Teflon membranes (Gelman, type R2PJ). This sampler has been designed as reference by USA-EPA. The PM2.5 samples were stored in box at controlled conditions (atmosphere and temperature).

About 300 air samples have been collected in downtown Rome (41°53′54′′N, 12°29′43′′E), in an area characterized by high presence of anthropogenic activities. The sampling was 24-hour long for each filter. All the storage and handling sample treatment were carried out at the ENEA and INAIL laboratories.

2.2. INAA and IPAA Analyses

Among the different analytical methodologies available for element determination we used nuclear approach for its important analytical properties. In fact, the various analytical techniques (spectroscopy, electrochemistry, and chromatography) do not permit to have the maximum information because of their limitations. INAA is well known as reference analytical technique because all the experimental steps are totally traceable and there is absence of physical-chemical sample manipulation reducing the positive and/or negative artifacts formation. Furthermore, because of its high sensitivity, multielemental character allowing the determination of about 40 elements with a good Limit of Detection (LOD) (Table 1) and accuracy, the INAA has surpassed other instrumental methods for trace/ultratrace metal and rare earth element analysis: a comparative study [29], however, has pointed out that INAA is blank free and especially suitable for the analysis of reference materials [30]. Further, we used IPAA as a complementary technique for determining elements: in particular, Pb, Tl, and Zr which are difficult to determine by INAA, are important from toxicological and environmental point of view.

Table 1: Nuclear data and LOD of elements by INAA and IPAA (m: minutes; h: hours; d: days; y: years). LODs calculated according to [30].

Element
Product nuclide
Half life
-Ray used (keV)
LOD (ng m⁻³)

INAA

Ag
110mAg
253.0 d
657.8
0.06

Al
28Al
2.3 m
1778.9
200

As
76As
26.3 h
559.2
1

Au
198Au
2.70 d
411.8
1

Ba
131Ba
11.5 d
496.3
5

Br
82Br
1.47 d
776.5
0.5

Ca
49Ca
8.8 m
3083.0
200

Cd
115mIn
53.0 h
336.6
0.3

Ce
141Ce
32.38 d
145.4
0.05

Cl
38Cl
37.3 m
1642.0
100

Co
60Co
5.272 y
1332.5
0.01

Cr
51Cr
27.7 d
320.0
0.2

Cs
134Cs
2.062 y
795.7
0.02

Eu
152Eu
12.7 y
1408.0
0.01

Fe
59Fe
45.1 d
1099.2
50

Hf
181Hf
42.4 d
482.2
0.01

Hg
203Hg
46.9 d
279.0
0.02

I
128I
25.0 m
442.7
0.1

K
42K
12.52 h
1524.7
50

La
140La
40.27 h
1596.2
0.1

Mg
27Mg
9.5 m
1014.1
50

Mn
56Mn
2.58 h
1810.7
0.1

Mo
99Mo
2.75 d
141.0
1

Na
24Na
15.0 h
1368.4
100

Nd
147Nd
11.1 d
531.0
1

Ni
58Co
70.78 d
810.7
1

Rb
86Rb
18.66 d
1076.7
1

Sb
122Sb
2.70 d
564.0
0.2

Sc
46Sc
83.85 d
889.2
0.003

Se
75Se
120.4 d
264.6
0.1

Sm
153Sm
1.948 d
103.1
0.04

Ta
182Ta
115 d
1221.6
0.005

Tb
160Tb
72.1 d
879.4
0.01

Th
233Pa
27.4 d
311.8
0.1

Ti
51Ti
5.8 m
320.0
200

U
239Np
2.35 d
228.2
0.03

V
52V
3.76 m
1434.4
1

W
187W
24.0 h
685.7
0.01

Yb
175Yb
4.21 d
396.1
0.01

Zn
65Zn
243.8 d
1115.5
0.5

IPAA

As
75As
17.9 d
596.0
0.2

Pb
204Pb
52.1 h
279.0
5

Tl
203Tl
12.0 d
440.0
0.5

Zr
90Zr
79.4 h
909.0
0.2

Table 1 shows the nuclear data (as product nuclide, half-life and energy peak emission) and LOD (expressed as ng m⁻³) of each element investigated in this study by means of INAA and IPAA. It should be noted the very low LODs reached by nuclear techniques in relation with other analytical methodologies [29, 31].

INAA: samples, blank, and standards, put in nuclear-grade polyethyene cylinders (Kartell), were irradiated at a neutron flux of 2.6 × 10¹² n × cm⁻² × s⁻¹ for 32.55 h in rotatory rack “Lazy Susan” of the nuclear reactor Triga Mark II of the ENEA-Casaccia Laboratories [32].

For the analysis primary and secondary standards were used. Primary standards (Carlo Erba, Milano, Italy) were As, Cd, Co, Cr, Cs, Fe, Hg, La, Ni, Sb, Se, Sm, and Zn whereas as secondary standards United States Geochemical Survey (USGS) nn. 1, 4, 6 and the Coal Fly Ash (NIST) n. 1633a were used.

After irradiation, γ-ray spectrometry measurements of different durations (Figure 1) were carried out using a HPGe detector (FWHM 1.68 keV at 1332 keV) connected to a multichannel analyzer equipped with software packages for a γ-spectra analysis.

Figure 1: Scheme for INAA analysis of standards and samples.

A first measurement series was performed 5/7 days after the end of irradiation with measurement times of 3000 and 9000 s for sample for determining As, Au, Br, Cd, La, Mo, Sb, Sm, and W [31]. The second series was performed 20/120 days after the end of irradiation with measurement times of 24–100 h for sample for determining Ce, Co, Cr, Cs, Eu, Fe, Hf, Hg, Nd, Ni, Rb, Sb, Sc, Se, Ta, Th, Yb, and Zn [31].

IPAA: samples, blank, and standards (NIST SRM 1571) were irradiated in the photon beam of the INFN Frascati National Laboratory Linear Accelerator (LINAC) at an average beam current of 40 μA, maximum electron energy of 300 MeV, and a W converter of 0.3 mm thickness.

Two series of measurements were carried out: after 36/70 hours Zr and Pb were measured for 2 hours whereas after 20 days from irradiation As and Tl were counted for 4 hours.

3. Results and Discussion

3.1. INAA Quality Assurance and Quality Control (QA/QC)

An important task was devoted to the investigation of Quality Control (QC) and Quality Assurance (QA) of the methodology used in this study. For these goals we performed irradiations of primary and secondary reference standard materials (RSMs) for matching the entire analytical methodology and for minimizing and/or avoiding matrix effects, respectively. About the comparison between our data and certified values it should be noted that the very low levels of some elements (<1 μg g⁻¹) can affect the measurements in terms of precision and/or accuracy: for an element having mean value <500 μg g⁻¹, result can be considered as “good” if coefficient of variation (CV%) <20%, “acceptable” if CV% between 20% and 30%, and “unsatisfactory” if CV% >30%. Table 2 shows this analytical quality control of the INAA data. In particular, this control was performed through an intercomparison campaign for 14 elements promoted by IAEA on air filter samples among different worldwide laboratories (130) using both spectrochemical (colorimetry, fluorescence, X-ray fluorescence, infrared spectrometry, atomic absorption and emission spectrometry, ICP-AES, and ICP-MS), electrochemical (polarography, voltammetry), and nuclear (INAA, isotopic dilution, beta counting) analytical techniques. For each element in the table are reported our values determined by INAA (“measured value”) and the “certified value”: the last column (“average value”) reports the value averaged among all the determinations performed by different laboratories interested in the measurements. As it can be noted, the agreement between INAA and the real value is quite good except for some elements such as Ba, U, and Zn. For Ba and U this discrepancies can be due to the difficulty to analyze such kind of elements even if for Ba our “measured value” and the “average value” are quite similar. For Zn the situation is little bit different: in fact, the “certified value” (152 μg g⁻¹) falls into the INAA value range ( μg g⁻¹).

Table 2: Results of INAA quality control on IAEA air filter samples (µg g⁻¹). The “measured value” is the average of seven determinations on seven different replicates. s.d.: standard deviation; n.d.: not detected.

Element
Measured value
Certified value
Average value

Mean ± s.d.
Mean
Mean
2σ (%)

As
4.9 ± 0.5
5.6
4.59
43

Au
1.26 ± 0.10
1.15
1.06
21

Ba
43.4 ± 0.5
53.8
39.05
40

Cd
10.6 ± 1.0
9.96
9.8
18

Co
1.3 ± 0.1
1.12
1.18
38

Cr
4.7 ± 0.8
5.6
4.8
13

Cu
51.6 ± 0.5
48.8
44.8
16

Fe
193 ± 17
207.9
200.1
8

Mn
31.2 ± 1.0
31.9
30.1
14

Mo
1.26 ± 0.2
1.14
1.56
70

Se
1.01 ± 0.10
1.06
1.01
11

U
0.78 ± 0.10
1.02
0.99
14

V
8.04 ± 0.35
8.00
7.2
16

Zn
132 ± 18
152
141
12

3.2. Particulate Matter Results

In Table 3 for each element both the summer and winter average levels are reported as well as the maximum and minimum values for each season measured in PM₁₀ samples by INAA and IPAA. It may be noted that elements of artificial origin show winter concentration levels higher than the summer ones, probably owing to an enhanced production in the winter period; in contrast elements of natural origin show summer concentration levels higher than the winter ones, possibly as a consequence of an increased resuspension of soil matter in summer.

Table 3: Seasonal element concentrations (average, min, and max levels expressed as ng m⁻³) in PM₁₀ determined by INAA and IPAA(a) in atmospheric particulate sampled in downtown Rome.

Element
Summer
Winter

Average
Min
Max
Average
Min
Max

Ag
0.22
0.1
0.5
0.25
0.1
0.6

Al
2900
500
5300
800
200
1600

Asa
4
1
15
3
1
8

Ba
60
30
120
30
5
70

Br
40
20
70
50
10
140

Ca
2200
800
4200
1200
300
2000

Cd
0.4
0.3
0.9
0.65
0.3
2

Ce
5.6
0.7
10
2
0.2
5

Cl
1300
300
3900
1400
300
4700

Co
0.7
0.4
1.2
0.5
0.1
0.9

Cr
7
4
13
19
2
41

Cs
1.2
0.6
2.2
0.6
0.2
1.3

Eu
0.08
0.04
0.14
0.03
0.01
0.07

Fe
2200
1000
3600
1100
400
2700

Hf
0.36
0.15
0.62
0.13
0.01
0.30

Hg
0.14
0.05
0.36
0.12
0.03
0.20

I
6
3
8
6
3
10

K
1120
50
1900
320
50
1000

La
6
3
11
3
0.3
5

Mg
1090
50
2700
560
200
1200

Mn
40
15
60
35
10
90

Mo
0.5
0.2
0.6
2
0.3
7

Na
1500
300
7000
730
200
3500

Ni
1.7
1
5
6
3
13

Pba
90
40
180
120
40
340

Rb
17
10
30
7
2
15

Sb
2
0.7
4
2
0.7
7

Sc
0.3
0.1
0.5
0.1
0.03
0.2

Se
0.6
0.2
1.1
0.4
0.2
1.3

Ta
0.03
0.01
0.05
0.01
0.005
0.02

Tb
0.055
0.1
0.10
0.024
0.01
0.05

Th
3
1
5
0.7
0.2
2.4

Ti
540
200
1050
265
200
500

Tla
1
0.5
2
1.4
0.5
4

U
0.4
0.1
0.7
0.2
0.06
0.4

V
8
1
15
12
8
23

Zn
70
30
180
110
40
220

Zra
50
10
90
20
5
50

Such results are obviously strictly related to the general meteorological characteristics of Italy and therefore contain some peculiarity. If they are compared to similar results obtained in other countries under different meteorological conditions, it can be seen that they agree fairly well for the pollutant elements, whereas for most elements of natural origin there are sensible differences that may be related to the geomorphological and meteorological characteristics. In fact, the higher values found in this study for Al, Cs, Na, Rb, Th, Ti, U, and rare earths are to be related to the element content of the volcanic rocks which are very widespread in Latium [33, 34].

As a very simple approach to the element behavior, they were grouped into three categories according to the value of the ratio (R) of summer to winter average levels (Table 4). The first group includes elements whose R is greater than 2; the second group elements whose R is less than 2 but greater than 0.5; the last group includes elements whose R is less than 0.5.

Table 4: Grouping of elements in PM₁₀ according to the summer/winter ratio seasonal average.

Ratio >2
Ratio ~1
Ratio <1

Al, Ba, Ca, Ce, Cs, Eu, Fe, Hf, K, La, Mg, Na, Rb, Sc, Ta, Tb, Th, Ti, U, Zr
Ag, As, Br, Cl, Co, Hg, I, Mn, Sb, Se, Tl
Cd, Cr, Mo, Ni, Pb, V, Zn

Elements of natural origin are found in the first group only, while elements of both natural and anthropogenic origin are present in the second group. The third group includes only pollutant elements (Cd, Cr, Mo, Ni, Pb, V, and Zn).

After, we collected PM2.5 aerosol samples in downtown Rome. Table 5 shows average concentration values, minimum and maximum levels and standard deviation of the elements determined in the PM2.5 fraction, whereas the correlation coefficients of the analyzed elements are reported in Table 6. It should be noted that many elements cannot be detected in these samples: the main reasons depend on both the granulometric size fraction, 2.5 μm, and the very low levels reached by some elements (e.g., Nd is below LOD). Basically, the concentration levels of the elements are low: the situation is good regarding the exposition to potential toxic elements. Furthermore, a wide scattering between the correlation coefficients can be noticed: only As, Co, Fe, Sc, Sb, and Se are highly correlated (0.7 < correlation coefficient < 1, marked in bold in Table 6) whereas Au, Ba, Br, Ce, Cr, Cs, La, and Sm result scarcely correlated. This behavior can be expected considering the chemical-physical properties of the elements and the granulometric size (<2.5 μm).

Table 5: Synoptic table (mean value, min–max values, and standard deviation) of elements concentration (ng m⁻³) determined in PM2.5 in downtown Rome (LOD: limit of detection; *expressed as pg m⁻³; **expressed as µg m⁻³).

Element
PM2.5

Mean
Min–Max
St. Dev.

As
1.06
0.121–2.76
0.044

Au
0.009
0.000–0.050
0.012

Ba
3.76
1.91–6.45
2.38

Br
17.1
3.20–50.4
13.9

Ce
0.130
0.033–0.335
0.089

Co
0.167
0.077–0.331
0.065

Cr
3.03
1.29–6.40
1.30

Cs
0.047
0.004–0.124
0.037

Eu*
1.14
1.12–1.16
0.029

Fe**
0.074
0.005–0.212
0.059

Hf
0.018
0.006–0.032
0.010

Hg
0.818
0.195–2.12
0.655

La*
22.6
8.73–53.3
10.5

Mo
0.748
0.017–3.04
0.699

Nd
<LOD

Ni
3.54
1.91–5.82
1.45

Rb
1.82
0.416–3.74
1.07

Sb
3.60
0.690–12.6
3.24

Sc*
3.14
0.208–7.49
2.41

Se
0.567
0.116–1.55
0.415

Sm*
3.88
0.208–7.78
2.13

Th
0.027
0.007–0.041
0.010

W
0.636
0.062–2.86
0.682

Yb
0.011
0.003–0.027
0.007

Zn
58.0
4.78–252
61.3

Table 6: Correlation coefficients for the trend of concentrations of analyzed elements present in PM2.5.

As
Au
Ba
Br
Ce
Co
Cr
Cs
Fe
Hf
Hg
La
Mo
Rb
Sb
Sc
Se
Sm
Th
W
Zn

0.25
−0.80
0.85
0.37
0.85
0.65
0.50
0.80
0.51
−0.35
0.70
0.50
0.39
0.83
0.40
0.80
0.55
0.20
−0.19
0.37
As

−0.97
0.58
0.51
0.35
0.06
0.54
0.33
0.73
0.35
0.01
0.10
0.77
0.48
0.01
0.56
0.08
−0.32
−0.19
0.16
Au

−0.97
−1.00
−0.98
−0.95
−0.89
−0.65
−1.00
−0.43
−0.81
−0.91
−1.00
−0.99
0.62
−0.94
−0.98
−0.98
−0.11
−0.65
Ba

0.61
0.87
0.54
0.57
0.83
0.86
−0.22
0.57
0.23
0.68
0.95
0.35
0.89
0.50
0.16
−0.17
0.58
Br

0.51
0.39
0.29
0.46
0.59
0.15
0.41
0.15
0.77
0.64
0.05
0.66
0.10
−0.32
−0.14
0.50
Ce

0.69
0.53
0.81
0.63
−0.22
0.72
0.24
0.78
0.90
0.35
0.86
0.53
0.25
0.10
0.60
Co

0.09
0.67
−0.13
−0.34
0.66
0.43
0.45
0.61
0.29
0.71
0.45
0.04
−0.24
0.44
Cr

0.44
0.83
0.15
0.47
0.19
0.72
0.60
0.13
0.43
0.19
0.18
−0.20
0.05
Cs

0.39
−0.38
0.73
0.14
0.57
0.85
0.65
0.79
0.72
0.27
−0.29
0.50
Fe

0.56
0.13
0.48
−0.05
0.82
0.26
0.73
0.46
0.26
0.01
0.55
Hf

−0.34
−0.16
0.22
−0.17
−0.41
−0.21
−0.40
−0.37
−0.03
−0.04
Hg

0.30
0.49
0.64
0.42
0.60
0.55
0.41
−0.15
0.26
La

0.36
0.27
−0.07
0.40
0.12
−0.31
−0.21
0.03
Mo

0.79
−0.34
0.76
−0.29
−0.57
−0.02
0.37
Rb

0.41
0.87
0.53
0.15
−0.13
0.68
Sb

0.24
0.89
0.47
−0.11
0.44
Sc

0.44
−0.06
−0.28
0.53
Se

0.39
−0.09
0.50
Sm

0.24
0.17
Th

0.07
W

Zn

3.3. The Enrichment Factor (EF) Application

In order to investigate a retrospective study of elements in PM₁₀ and their evolution in relationship with the natural or anthropogenic origins, Table 7 reports the levels of selected elements collected in the last 4 decades: the data obtained show a decrease ranging between 24% (Co) and 91% (La), except for Hg, Sb, and Se. This may be attributed to the technological growth during the entire period and to the adoption of anti-pollution system in domestic heating and in industrial plants. For a better knowledge of this evolution and, especially, of the element origin, we have calculated the enrichment factors (EFs) with respect to the element abundance in the upper continental crust. Elements with EF values much higher than 1 can be considered of noncrustal origin and may be attributed to long-transport phenomena from other natural and/or anthropogenic sources. The EFs have been calculated in agreement to the equation reported in Bergamaschi et al. (2002) [14] and La as normalizing element. Figure 2 shows the EF trend for selected elements in PM₁₀ during four decades. As can be noted, all the elements may be attributed to long-range transport phenomena from other natural and/or anthropogenic sources: this behavior is common to all the period studied even if a very light decreasing trend can be evidenced from 1970 to 2002. Looking at Figure 2, three element groups can be identified according to their EFs: La and Th ranging between 1 and 5; Co, As, V, Cr, and Ni ranging between 1 and 100; Hg, Zn, Se, Pb, Sb, Cd, and Br ranging between 200 and 2500. Finally, some specific considerations can be extrapolated: the high EF values found for Br (and Pb as well) by both elaborations could be attributed to the use of leaded gasoline (cars with leaded gasoline are still present at the end of “nineties”); the sources of As, Pb, Sb, and Zn would be looked for among the various anthropogenic activities in the Rome area and particularly Sb and Zn could be attributed to traffic origin being essential components of antifriction alloys and car tires.

Table 7: Levels (ng m⁻³) of selected elements investigated along four decades in downtown Rome.

PM₁₀

1965–78
1989–92
2000–02

As
4.00

1.35

Br
70
50
22

Cd
0.751

0.520

Co
0.498
0.523
0.379

Cr
16
2.3
7.28

Hg
0.131
0.092
1.07

La
2.04
0.803
0.188

Ni
8.01
1.72
4.54

Pb
270
172
92

Sb
1.99
2.13
9.22

Se
0.533
0.091
0.692

Th
0.911
0.723
0.229

V
14
4.82
4.02

Zn
190
28
80

Figure 2: EF trend comparison of selected trace elements in PM10 fraction calculated using La as normalizing element.

Finally, a same approach has been performed to elements investigated in the PM2.5 fraction, even if no historical data series are available. Figure 3 reports the results obtained on the PM2.5 fraction: Co, Cr, As, Zn, Hg, Sb, Se, and Br show EF values ranging between 5 and 8500, respectively. It should be noted that the EFs in PM2.5 fraction are more elevated than in PM₁₀ fraction, especially for Br, Se, Sb, and Hg: this could be due to the different granulometric size and the different penetrating abilities of such elements. This occurrence can be an index of the different bioavailability of an element series present in PM2.5 fraction compared to PM₁₀ fraction. As reported above, the higher EF value, found for Br and attributed to the use of leaded, is more evident in this fraction.

Figure 3: EFs of selected elements in PM2.5 fraction calculated using La as normalizing element.

4. Conclusion

The experimentation has been addressed for getting the maximum analytical informative ability from the single sample determinations. The INAA and IPAA techniques have allowed to reach such elevated sensibility/accuracy levels to furnish discreet values for elements present at very low concentrations (trace and ultratrace levels). Particular attention has been devoted to reach elevated degrees of precision and accuracy for each determined element so that to increase its significance. In fact, for some elements such as Co, Se, and Th, this is the first determination in literature for Rome.

For some elements of geochemical origin (i.e., La, Th) the results reported can be considered representative of the urban area of Rome. The element concentrations determined in this study do not show a significant level of attention from a toxicological point of view taking into account that the simple measurements of the total airborne concentration of a metal may not be representative of its potential to participate in processes deleterious to health. Only few elements show a very good distribution between the two fractions whereas the greater part shows a distribution more elevated in the PM10 fraction than in the PM2.5 fraction whereas EFs show an opposite trend. Finally, Co, Hg, and Zn (basically, three anthropogenic elements) show no predominant distribution between the two granulometric mass.

Acknowledgment

This work was supported under the Grant INAIL DIPIA P2/L2.

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