| Literature DB >> 28788692 |
Waldir A Bizzo1, Renata A Figueiredo2, Valdelis F de Andrade3.
Abstract
The proper disposal of electrical and electronic waste is currently a concern of researchers and environmental managers not only because of the large volume of such waste generated, but also because of the heavy metals and toxic substances it contains. This study analyzed printed circuit boards (PCBs) from discarded computers to determine their metal content and characterized them as solid waste and fuel. The analysis showed that PCBs consist of approximately 26% metal, made up mainly of copper, lead, aluminum, iron and tin, as well as other heavy metals such as cadmium and nickel. Comparison with the results of other studies indicated that the concentration of precious metals (gold and silver) has declined over time. Analysis of the leachate revealed high concentrations of cadmium and lead, giving the residue the characteristics of hazardous waste. After milling the PCBs, we found that larger amounts of metal were concentrated in smaller fractions, while the lightest fraction, obtained by density separation, had a gross calorific value of approximately 11 MJ/kg, although with a high ash content. Milling followed by density separation proved potentially useful for recovery of metals and energy-rich fractions.Entities:
Keywords: energy recovery; heavy metals; metal recovery; printed circuit boards; solid waste
Year: 2014 PMID: 28788692 PMCID: PMC5455934 DOI: 10.3390/ma7064555
Source DB: PubMed Journal: Materials (Basel) ISSN: 1996-1944 Impact factor: 3.623
Comparison of the main processes for recovering metals from printed circuit boards (PCBs).
| Types | Thermal Processes | Non-Thermal Processes |
|---|---|---|
| Characteristics |
Non-metallic materials cannot be recovered High investment in equipment and installation, including air-pollution control systems Economic efficiency not proven for low-grade wastes a |
Health risks for the milling operators, because of the possibility of inhaling fiberglass particles and heavy metals Strong irritating odor generated by phenolic resin during the milling process Large investment in equipment for waste-water treatment |
| Environmental impacts | Generation of gaseous pollutants, including dioxins and lead fumes |
High water utilization and waste-water generation, with acidic residues Noise pollution due to grinding equipment Generation of solid waste |
a Adapted from Xiang et al. (2007) [7] and Lee et al. (2004) [8].
Chemical analysis of leachate from milled PCBs.
| Substance | Results of this study (mg/L) | Maximum permitted concentration according to EPA legislation (mg/L) * |
|---|---|---|
| Arsenic | ND | 5.0 |
| Cadmium | 22.0 | 0.5 |
| Lead | 133 | 5.0 |
| Barium | 1.5 | 100.0 |
| Chromium | 0.05 | 5.0 |
| Selenium | ND | 1.0 |
| Silver | 0.02 | 5.0 |
| Mercury | ND | 0.2 |
| Fluoride | ND | – |
ND = undetected; * Source: EPA—CFR Title 40.
Chemical composition of PCBs in the present study and values reported by other authors.
| Metal content | a | b | c | d | e | f | g | h | i | j | k | l | m | This study |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cu (%) | 19 | 20 | 22 | 12.5 | 26.8 | 15.6 | 19.66 | 28.7 | 27.6 | 14.6 | 12.58 | 19.19 | 28 | 14.2 |
| Al (%) | 4.1 | 2 | – | 2.04 | 4.7 | – | 2.88 | 1.7 | – | – | 2.38 | 7.06 | 2.6 | – |
| Pb (%) | 1.9 | 2 | 1.55 | 2.7 | – | 1.35 | 3.93 | 1.3 | – | 2.96 | 2.44 | 1.01 | – | 2.50 |
| Zn (%) | 0.8 | 1 | – | 0.08 | 1.5 | 0.16 | 2.10 | – | 2.7 | – | – | 0.73 | – | 0.18 |
| Ni (%) | 0.8 | 2 | 0.32 | 0.7 | 0.47 | 0.28 | 0.38 | – | 0.3 | 1.65 | 0.39 | 5.35 | 0.26 | 0.41 |
| Fe (%) | 3.6 | 8 | 3.6 | 0.6 | 5.3 | 1.4 | 11.47 | 0.6 | 2.9 | 4.79 | 3.24 | 3.56 | 0.08 | 3.08 |
| Sn (%) | 1.1 | 4 | 2.6 | 4.0 | 1.0 | 3.24 | 3.68 | 3.8 | – | 5.62 | 1.41 | 2.03 | – | 4.79 |
| Sb (%) | – | – | – | – | 0.06 | – | – | – | – | – | – | – | – | 0.05 |
| Cr (%) | – | – | – | – | – | – | 0.005 | – | – | 0.356 | – | – | – | – |
| Na (%) | – | – | – | – | – | – | – | – | – | – | – | – | – | 0.48 |
| Ca (%) | – | – | – | – | – | – | 1.13 | – | 1.4 | – | – | – | – | 1.69 |
| Ag (ppm) | 5210 | 2000 | – | 300 | 3300 | 1240 | 500 | 79 | – | 450 | – | 100 | 135 | 317 |
| Au (ppm) | 1120 | 1000 | 350 | - | 80 | 420 | 300 | 68 | – | 205 | – | 70 | 29 | 142 |
| Pt (ppm) | – | – | – | – | – | – | – | 0 | – | – | – | – | – | – |
| Cd (ppm) | – | – | – | – | – | – | – | – | – | – | – | – | – | 1183 |
| K (ppm) | – | – | – | – | – | – | – | – | – | – | – | – | – | 180 |
| In (ppm) | – | – | – | – | – | – | 500 | – | – | – | – | – | – | – |
| Mn (ppm) | – | – | – | – | – | – | 9700 | – | 4000 | – | – | – | – | 81 |
| Se (ppm) | – | – | – | – | – | – | – | – | – | – | – | – | – | 21 |
| As (ppm) | – | – | – | – | – | – | – | – | – | – | – | – | – | 11 |
| Mg (ppm) | – | – | – | 500 | – | – | 1000 | – | – | – | – | – | – | – |
| Pd (ppm) | – | 50 | – | – | – | – | – | 33 | – | 220 | – | – | – | – |
| Co (ppm) | – | – | – | – | – | – | 300 | – | – | – | – | 400 | – | – |
| Ti (ppm) | – | – | – | – | – | – | – | – | – | – | – | 400 | – | – |
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(a) Feldman (1993) [13]; (b) Menetti et al. (1995) [14]; (c) Iji et al. (1997) [15]; (d) Veit et al. (2002) [16]; (e) Zhao et al. (2004) [17]; (f) Kim et al. (2004) [18]; (g) Wang et al. (2005) [19]; (h) Creamer et al. (2006) [20]; (i) Marco et al. (2008) [21]; (j) Hino et al. (2009) [2]; (k) Das et al. (2009) [22]; (l) Yoo et al. (2009) [23]; (m) Oliveira et al. (2010) [4].
Metal content of ores and PCBs.
| Metal | Ores (%) a | PCBs (%) b |
|---|---|---|
| Copper | 0.5–3.0 | 12.0–29.0 |
| Zinc | 1.7–6.4 | 0.1–2.7 |
| Tin | 0.2–0.85 | 1.1–4.8 |
| Lead | 0.3–7.5 | 1.3–3.9 |
| Iron | 30–60 | 0.1–11.4 |
| Nickel | 0.7–2.0 | 0.3–1.6 |
| Gold | 0.0005 | 0.0029–0.112 |
| Silver | 0.0005 | 0.01–0.52 |
Source: a Veit et al. (2002) [16], Ayres (1997) [24]; b range of results reported by various authors as shown in Table 3.
Figure 1Particle-size distribution after milling.
Figure 2Thermogravimetric analysis of ground PCBs separated by particle size.
Proximate analysis and GCV of milled PCBs.
| Samples | Moisture (% wet basis) | Volatiles (% dry basis) | Fixed carbon (% dry basis) | Ashes (% dry basis) | Gross calorific value (MJ/kg) |
|---|---|---|---|---|---|
| Light fraction | 0.87 | 39.85 | 2.38 | 57.78 | 11.63 |
| Total fraction | 0.37 | 16.70 | 0.99 | 82.27 | 4.88 |
Figure 3PCBs used in the study, without cables, wires and connectors.
Figure 4Steps involved in the characterization of discarded PCBs.