| Literature DB >> 27536525 |
Huey Ting Diong1, Reshmi Das1, Bahareh Khezri2, Bijayen Srivastava3, Xianfeng Wang4, Pradip K Sikdar3, Richard D Webster2.
Abstract
This study investigates platinum group elements (PGEs) in the breathable (PM10) and respirable (PM2.5) fractions of air particulates from a heavily polluted Indian metro city. The samples were collected from traffic junctions at the heart of the city and industrial sites in the suburbs during winter and monsoon seasons of 2013-2014. PGE concentrations were determined by inductively coupled plasma-mass spectrometry (ICP-MS). The PGE concentrations in the samples from traffic junctions are within the range of 2.7-111 ng/m(3) for Pd, 0.86-12.3 ng/m(3) for Pt and 0.09-3.13 ng/m(3) for Rh, and from industrial sites are within the range of 3.12-32.3 ng/m(3) for Pd, 0.73-7.39 ng/m(3) for Pt and 0.1-0.69 ng/m(3) for Rh. Pt concentrations were lower in the monsoon compared to winter while Pd concentrations increased during monsoon and Rh stayed relatively unaffected across seasons. For all seasons and locations, concentrations of Pd > Pt > Rh, indicating dominance of Pd-containing exhaust converters. Most of the PGEs were concentrated in the PM2.5 fraction. A strong correlation (R ≥ 0.62) between the PGEs from traffic junction indicates a common emission source viz. catalytic converters, whereas a moderate to weak correlation (R ≤ 0.5) from the industrial sites indicate mixing of different sources like coal, raw materials used in the factories and automobile. A wider range of Pt/Pd, Pt/Rh and Pd/Rh ratios measured in the traffic junction possibly hint towards varying proportions of PGEs used for catalyst productions in numerous rising and established car brands.Entities:
Keywords: Catalytic converters; ICP-MS; Monsoon and winter; PM10 and PM2.5; Platinum group element (PGE)
Year: 2016 PMID: 27536525 PMCID: PMC4970991 DOI: 10.1186/s40064-016-2854-5
Source DB: PubMed Journal: Springerplus ISSN: 2193-1801
Mean PM10 and PM2.5 concentrations and PGE concentrations (min–max) in PM10 and PM2.5 from traffic junctions and industrial locations in and around Kolkata, India compared with dust and soil concentrations from the city
| N | PM Concentration (µg/m3) | Pd (ng/m3) | Pt (ng/m3) | Rh (ng/m3) | |
|---|---|---|---|---|---|
|
| |||||
| Traffic | |||||
| Winter | 20 | 385 (78–783) | 10.8 (2.71–26.4) | 6.27 (2.85–12.1) | 0.70 (0.26–2.50) |
| Industry | |||||
| Winter | 15 | 392 (61–767) | 5.94 (3.12–10.3) | 4.37 (2.53–6.53) | 0.35 (0.10–0.50) |
| Traffic | |||||
| Monsoon | 14 | 276 (83–411) | 41 (9.10–110.94) | 1.92 (0.90–4.39) | 0.88 (0.09–3.13) |
| Industry | |||||
| Monsoon | 14 | 302 (83–617) | 14.6 (6.50–16.4) | 1.25 (0.73–2.35) | 0.31 (0.10–0.69) |
|
| |||||
| Traffic | |||||
| Winter | 20 | 316 (83–489) | 9.79 (2.87–25.9) | 6.45 (2.90–12.3) | 0.62 (0.23–1.53) |
| Industry | |||||
| Winter | 15 | 271 (167–583) | 6.97 (3.81–15.8) | 4.68 (3.26–7.39) | 0.40 (0.19–0.53) |
| Traffic | |||||
| Monsoon | 14 | 117 (44–178) | 36.2 (9.39–87.8) | 1.76 (0.86–3.54) | 0.59 (0.13–1.61) |
| Industry | |||||
| Monsoon | 14 | 264 (117–578) | 14.4 (6.76–32.3) | 1.22 (0.82–2.10) | 0.28 (0.12–0.66) |
| Dusta | |||||
| Kolkata | 10 | 10.8 (0.7–63.6) | 13.5 (2.6–51) | 3.6 (0.2–21.3) | |
| Soilb | |||||
| Kolkata | 3 | 2.83 (1.31–4.07) | 5.59 (2.59–9.43) | 1.03 (0.40–2.27) | |
aPan et al. (2013), b Pan et al. (2009)
Fig. 1A comparison of PGE concentrations in PM10 and PM2.5 during winter (W) and monsoon (M) seasons from traffic and industrial locations
A comparison of PGE concentrations in PM10 and PM2.5 from various cities around the world
| City, Country | PM | Sampling period | Pd (ng/m3) | Pt (ng/m3) | Rh (ng/m3) | References |
|---|---|---|---|---|---|---|
| Boston, Massacheutts, USA | 10 | 2002–2003 | 0.009 (0.0008–0.039) | 0.0078 (0.006–0.036) | 0.0019 (0.00033–0.0059) | Rauch et al. ( |
| Mexico City, Mexico | 10 | 2003 | 0.011 | 0.0093 | 0.0032 | Rauch et al. ( |
| Beijing, China | 10 | Oct–Dec 2007 | 0.0218 (0.00622–0.0243) | 0.00744 (0.00116–0.0860) | Pan et al. ( | |
| Guangzhou, China | 0.0109 (0.00768–0.0122) | 0.00468 (0.00215–0.00515) | ||||
| Raleigh, North Carolina, USA | 10 | Oct–Dec 2006 | 0.029 | 0.020 | 0.001 | Hays et al. ( |
| Frankfurt am Main, Germany | 10 | 2009–2010 | 0.058 (0.008–0.132) | 0.067 (0.006–0.135) | 0.013 (0.002–0.035) | Zereini et al. ( |
| Vienna, Austria | 10 | 2009–2011 | 0.0106 (0.0043–0.0216) | 0.0099 (0.0048–0.0185) | Puls et al. ( | |
| Texas, USA | 10 | 2012–2013 | 0.214 (0.1304–0.2986) | 0.0611 (0.0382–0.0840) | 0.0363 (0.0212–0.0515) | Bozlaker et al. ( |
| Braunschweig, Germany | 10 | 2005 | 0.0378 (0.0001–0.044) | 0.159 (0.0009–0.246) | 0.0010 (0.0002–0.015) | Wichmann and Bahadir ( |
| Frankfurt am Main, Germany | 2.5 | 2009–2010 | 0.0161 (0.0054–0.0274) | 0.0094 (0.0026–0.0236) | 0.0018 (0.007–0.0042) | Zereini et al. ( |
| Vienna, Austria | 2.5 | 2009–2011 | 0.0049 (<LOD–0.0097) | 0.0023 (<LOD–0.0046) | Puls et al. ( | |
| Texas, USA | 2.5 | 2012–2013 | 0.0911 (0.0709, 0.113) | 0.0301 (0.0220, 0.0382) | 0.0125 (0.0085, 0.0166) | Bozlaker et al. ( |
| Istanbul, Turkey | 2.5 | 2010–2011 | 0.00042 (0.00022–0.00064) | Atilgan et al. ( | ||
| Budapest, Hungary | 2.5 | 2010–2011 | 0.00048 (0.00025–0.00086) | Atilgan et al. ( |
Numbers in parenthesis indicate concentration range.
LOD limit of detection
Correlation coefficients of PGEs in traffic junctions and industrial areas
| Traffic | Industrial | |||||||
|---|---|---|---|---|---|---|---|---|
| PM10 | PM2.5 | PM10 | PM2.5 | |||||
| Winter | Monsoon | Winter | Monsoon | Winter | Monsoon | Winter | Monsoon | |
| Pt/Pd | 0.79 | 0.82 | 0.77 | 0.63 | 0.04 | 0.38 | 0.06 | 0.35 |
| Pt/Rh | 0.64 | 0.93 | 0.89 | 0.81 | 0.50 | 0.19 | 0.19 | 0.30 |
| Pd/Rh | 0.62 | 0.80 | 0.89 | 0.74 | 0.14 | 0.50 | 0.24 | 0.29 |
PGE ratios from various cities in the world
| City, Country | Sample | Pt/Pd | Pt/Rh | Pd/Rh |
|---|---|---|---|---|
| Indiana, USa | – | 1–2.5 | 5–16 | 4–9 |
| Perth, Australiab | Road dust | 1.04 (0.7–1.5) | 5.1 (4.6–6.3) | 5.17 (3.3–6.9) |
| Roadside soil | 1.4 | 6.1 | 4.5 | |
| Boston, USc | Airborne particles | 1.01 | 5.06 | |
| Mexico City, Mexicod | Airborne particles | 0.96 | 3.1 | |
| Vienna, Austriae | Airborne particles | 3.41 | ||
| Beijing,Chinaf | Roadside soil | 1.91* (0.13–3.82) | 3.94 (2.40–19.6) | 2.06* (1.83–31.3) |
| Guangzhou, Chinaf | 0.88* | 2.9* | 3.3* | |
| Hong Kong, Chinaf | 1.61* | 5.76* | 3.58* | |
| Macao, Chinaf | 0.88* | 4.21* | 4.8* | |
| Qingdao, Chinaf | 1.0* | 3.23* | 3.24* | |
| Mumbai, Indiaf | 0.4* | 9.75* | 24.2* | |
| Kolkata, Indiaf | 1.98* | 5.43* | 2.75* | |
| Shenzhen, Chinag | Road dust and roadside soil | 0.93 (0.35–2.17) | 3.96 (2.87–10.8) | |
| Hong Kong, Chinag | 0.94 (0.3–1.98) | 8.51 (4.4–14.9) | ||
| Guangzhou, Chinag | 0.51 (0.21–1.35) | 3.37 (1.49–5.62) | ||
| Frankfurt, Germanyh | Airborne particles | (0.04–5.0)* | 3.8 (0.3–19.2) | |
| Beijing, Chinai | Road dust | 0.59 (0.2–3.2)* | (1.0–5.8)* | |
| Xinjiang, Chinaj | Rainwater | 17.94 | ||
| Kolkata, India (current study) | PM10 winter | |||
| Traffic | 0.74 (0.38–1.20) | 10.8 (4.0–21.0) | 17.0 (8.87–47.5) | |
| Industrial | 0.81 (0.35–1.19) | 13.6 (8.08–25.3) | 22.2 (8.64–68.5) | |
| PM2.5 winter | ||||
| Traffic | 0.81 (0.36–1.91) | 10.9 (5.73–20.5) | 15.5 (8.54–38.5) | |
| Industrial | 0.77 (0.27–1.05) | 12.3 (8.46–27.7) | 20.1 (9.0–58.7) | |
a Ely et al. (2001), b Whiteley and Murray (2003), c Rauch et al. (2005), d Rauch et al. (2006), e Limbeck et al. (2007), f Pan et al. (2009), g Qi et al. (2011), h Zereini et al. (2012), i Gao et al. (2012), j Liu et al. (2015)
* Author’s estimation from available data