| Literature DB >> 34478051 |
Vhodaho Nevondo1, Okechukwu Jonathan Okonkwo2.
Abstract
Chlorinated paraffins (CPs) have been applied as additives in a wide range of consumer products, including polyvinyl chloride (PVC) products, mining conveyor belts, paints, sealants, adhesives and as flame retardants. Consequently, CPs have been found in many matrices. Of all the CP groups, short-chain chlorinated paraffins (SCCPs) have raised an alarming concern globally due to their toxicity, persistence and long-range transportation in the environment. As a result, SCCPs were listed in the Stockholm Convention on Persistent Organic Pollutants (POPs) in May 2017. Additionally, a limit for the presence of SCCPs in other CP mixtures was set at 1% by weight. CPs can be released into the environment throughout their life cycle; therefore, it becomes crucial to assess their effects in different matrices. Although about 199 studies on SCCP concentration in different matrices have been published in other continents; however, there are scarce/or limited studies on SCCP concentration in Africa, particularly on consumer products, landfill leachates and sediment samples. So far, published studies on SCCP concentration in the continent include SCCPs in egg samples, e-waste recycling area and indoor dust in Ghana and South Africa, despite absence of any production of SCCPs in Africa. However, there still remains a huge research gap in the continent of Africa on SCCPs. Consequently, there is a need to develop robust SCCP inventories in Africa since the Stockholm Convention has already developed guidance document in this respect. This review, therefore, examines the state of knowledge pertaining to the levels and trends of these contaminants in Africa and further provides research gaps that need to be considered in order to better understand the global scale of the contaminant.Entities:
Keywords: Africa; CPs; Matrices; POPs; SCCPs
Mesh:
Substances:
Year: 2021 PMID: 34478051 PMCID: PMC8476396 DOI: 10.1007/s11356-021-15924-w
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223
Countries producing SCCPs or other CPs
| Status of SCCP or CP production | Countries |
|---|---|
| Production of SCCPs between 1993 and 2009 | USA, Brazil, Germany, France, the UK, Italy, Japan |
| Stopped production of SCCPs | Brazil, EU countries, Japan, Russia, United States (US) |
| Current production of CPs of various lengths | Australia, Brazil, China, France, India, Italy, Japan, Russia, Spain, Slovakia, South Africa, UK |
| Never had SCCP production | South Africa |
Data were compiled from draft guidance on preparing inventories of SCCPs (UNEP 2019a)
SCCP content limits reported for their main uses.
| SCCP applications | SCCP content in mg/kg |
|---|---|
| Lubricant | Up to 700,000 (70% weight) |
| Metal-working fluid | Up to 700,000 (70% weight) |
| Adhesive/sealant | Up to 300,000 (30% weight) |
| Paint | Up to 200,000 (20% weight) |
| Leather | Up to 200,000 (20% weight) |
| Rubber | Up to 170,000 (17% weight) |
| Textile | Up to 150,000 (15% weight) |
| Polyvinylchloride (PVC) | Up to 100,000 (10% weight) |
| Ethylene-vinyl acetate (EVA) foam | Up to 70,000 (7% weight) |
Adapted from UNEP (2019a); Guida et al. (2020)
SCCP concentrations in consumer products
| Consumer product sample | SCCP concentrations (mg kg−1) |
|---|---|
| PVC (12) | 78 (30–3500) |
| Cables and cards (15) | 13.611 (1,100–45,700) |
| Covers and packing (8) | 15.737 (2,600–60,000) |
| Leather (artificial) (13) | 3954 (1,100–14,000) |
| Sports equipment (18) | 19.056 (1,800–90,000) |
| Stickers (5) | 11.600 (2,000–18,000) |
| Toys (20) | 26.893 (1,900–100,00) |
| Domestic products (19) | 11.032 (700–47,000) |
| PVC (21) | 40.770 (ND–13,144) |
| Rubber | 614 (ND–13,144) |
| PET (19) | 0.2 (ND–3) |
| PE (5) | 0.1 (0.02–0.3) |
| PP (18) | 4 (ND–69) |
| Food packaging (20) | 2 (0.01–8.3) |
| Rubber track products (15) | 3639 (14–12,800) |
| Adhesives | 3344 (62–7,140) |
| Rubber granulate (10) | 3 (ND–24) |
| Car tires | 1 (ND–2) |
ND not detected; data were compiled from a table by Guida et al. (2020)
SCCP studies in various matrices
| Matrices | Sites and time of sample collection | Concentrations | |
|---|---|---|---|
| Atmosphere | Dust | Plastic tracks and basketball courts in Beijing, China, 2015 | 5429 and 5139 μg/g |
| Indoor PM10, PM2.5 and PM1.0 samples | Beijing, China, 2016 | 38.3–87.7 (mean: 61.1), 16.8–49.4 (mean: 31.4) and 6.4–32.5 (mean: 20.7) ng/m3, respectively | |
| Indoor dust and air | Beijing, China, 2016 | 82 g/g and 80 ng/m3, respectively | |
| Dust falls | A Chinese building mall and central air conditioner filter dusts from a newly opened Chinese shopping mall in Dalian, China, 2015 | 6.0 to 361.4 μg/g and 114.7 to 707.0 μg/g, respectively | |
| Air | Dalian, China, in 2010 and 2016 | 15.12 to 66.44 (mean: 30.26) ng/m3 and 65.30 to 91.00 (mean: 78.15) ng/m3, respectively | |
| Dusts | E-waste recycling workshops, local residential homes, exterior street surfaces and control homes, collected in a mega e-waste recycling industrial park in South China, between 2016 and 2017 | 246–19,900 (mean: 5600) μg/g, 34.5–2030 (mean: 580) μg/g, 32.4–982 (mean: 501) μg/g and 27.8–173 (mean: 59) μg/g, respectively | |
| Indoor particles | The Pearl River Delta, China, 2017 | 3.3 to 43.2 (mean: 13.4) ng/m3 | |
| Indoor particles | Harbin, China, in 2013 | 10.1 to 173.0 (mean: 53.6) μg/g | |
| Air | Inside and outside one CP production plant in Shandong Province, China, 2016 | 129–1442 ng/m3 and 91–333 ng/m3, respectively | |
| PM2.5 samples | Jinan, China, 2016 | 9.80 to 105 (mean: 38.7) ng/m3 | |
| Air | Shergyla Mountain and Lhasa on the Tibetan Plateau of China, between 2012 and 2015 | 130 and 1300 pg/m3 and 1100–14,440 pg/m3, respectively | |
| Household air | Norway, 2012 | 94 to 151 (mean: 128) ng/m3 | |
| House dust | Canada, between 2007 and 2010 | 4.0–57 (mean: 6.2) μg/g | |
| Household dusts | Bavaria, Germany | 4–27 μg/g | |
| Indoor dusts | Australia, 2015 | 0.29 to 58 (mean: 9.4) μg/g | |
| Air | Zurich, Switzerland, 2011 and 2013 | 1.8 to 17 (median: 4.3) ng/m3 and 1.1 to 42 ng/m3 (median: 4.7), respectively | |
| Air | Japan, South Korea and China, 2008 | 2.26, 2.06 and 137 ng/m3, respectively | |
| Atmosphere | Melbourne, Australia, 2013–14 | 28.4 ng/m3 in summer to 1.8 ng/m3 in winter | |
| Atmosphere | Antarctica, 2012 | 9.6 to 20.8 (mean: 14.9 pg/m3) | |
| Aquatic system | River water | Shanghai, China, 2016 | 0.278 μg/L |
| Influents of wastewater treatment plants | Barcelona, Spain, 2014 | 0.5 μg/L | |
| Surface sediments | East China Sea, 2012 | 5.8 to 64.8 (mean: 25.9) ng/g dw | |
| Surface sediments and bivalves | Bohai Sea in China, 2014 | 97.4–1756.7 ng/g dw and 476.4–3269.5 ng/g dw, respectively | |
| Seawater and sediments | The Pearl River Estuary, Southern China | 180 to 460 ng/L and 180 to 620 ng/g dry weight (dw), respectively | |
| Soils | Paddy field soils | An e-waste dismantling area and China between 2008 and 2010 | 30.4 to 530 (mean: 80.2) ng/g dw |
| Paddy soils | Liaohe River Basin China, 2010 | 61.5–171.1 ng/g dw | |
| Soils | The Pearl River Delta in South China between 2009 and 2010 | 1.9 to 236 (mean: 18.3) ng/g dw | |
| Urban soils | Shanghai, China, 2011 | <LOD–615 (mean: 39.4) ng/g dw | |
| Suburban soils | Shanghai, China, 2011 | <LOD to 697 (mean: 18.8) ng/g dw | |
| Soils | One background area in Shanghai, China, 2011 | 0.42 to 420 (mean: 9.6) ng/g dw | |
| In-plant and ambient surface soils | A Chinese CP production plant Dalian, China, between 2013 and 2014 | 1421.4 and 141.9 ng/g dw, respectively | |
| Surface soils | Nationwide agricultural lands China, 2016 | 39 to 1609 ng/g | |
| Soils | Taizhou, China, 2017 | 68.5–2.2 105 ng/g dw | |
| Coastal soils | Shandong Peninsula, China, 2017 | 50.06–266.3 (mean: 93.97) ng/g dw | |
| Soils | UK and Norway, 2008 | 24 ± 72 ng/g soil organic matter | |
| Soils | Switzerland, 1994 and 2014 | 35 vs. 3.0 ng/g, respectively | |
| Soils | Arctic between 2011 and 2012 | 7.1 ± 0.7 ng/g dw | |
| Biota | Common barbell Barbus | The Rhone River Basin, France, 2009 | 63–1492 (median: 728) ng/g ww |
| Aquatic animals | Bohai Bay in Northern China, 2014 and 2017 | 86 to 4400 (mean: 940) ng/g ww | |
| Fish | Liaodong Bay, North China, 2014 | 376.3 to 8596 (mean: 2131) ng/g lw | |
| Fish | Alpine lakes and the Lhasa River on the Tibetan Plateau in 2019 | 26.6 ng/g dw | |
| Wildlife species | Greenland between 2012 and 2014 | Median concentrations of 0.18–2.4 μg/g ww | |
| Fish, seabirds, marine mammals and terrestrial birds and mammals | Scandinavia between 2006 and 2017 | 26–1500 ng/g lw | |
| Aquatic species | Aquatic species | 10 to 1300 μg/g lw | |
| Coniferous plants | A chlorinated paraffin plant in Dalian, China, between 2013 and 2014 | 1738.7 ng/g dw | |
| Humpback whales | Antarctica | 46 ng g/g lw | |
| Human diets | Cereal legume meat | 19 Chinese provinces in 2010 | 343 and 328 ng/g ww, respectively |
| Aquatic foods | 18 Chinese provinces in 2011 | 215 to 4200 (mean: 1472) ng/g ww | |
| Home-produced eggs | An e-waste site in South China, 2013 and 2016 | 477 to 111,000 ng/g lw | |
| Raw food materials | Beijing, China, between 2014 and 2016 | 0.67 to 5100 ng/g ww | |
| Diets for the general population | Beijing, China, 2016 | 24.6–546 (mean: 83) ng/g dw | |
| Mrigal carp, white amur bream, yellow catfish, pork, chicken, duck and chicken eggs | Qingyuan County, South China, between 2016 and 2017 | 408, 4.57, 5.64, 49.2, 43.4, 66.1 and 4.84 μg/g lw, respectively | |
| Composite food | Beijing, China, 1993 and 2009 | 200 to 600 pg/g and 8500 to 28,000 pg/g, respectively | |
| Composite food | Japan, 1993 and 2009 | <LOD–290 pg/g ww and < LOD–1100 pg/g ww, respectively | |
| Chicken eggs | An e-waste recycling region in China, 2013 | 2600–6800 (mean: 4000) ng/g lw | |
| Vitamin E dietary supplements | German market with data not indicated | <LOD to 61,000 (mean: 3810) ng/g fat | |
| Human tissues | Blood | China in 2012 | 370–35,000 (median: 3500) ng/g lw |
| Maternal and cord serum | Beijing, China, 2013 | 21.7–373 ng/g ww and 8.51–107 ng/g ww, respectively | |
| Plasma | Dalian, China, 2015 | <LOD to 203 (mean: 32) ng/g ww | |
| Human milk | Eight Chinese provinces, 2007 and from 16 Chinese provinces, 2011 | 303 and 360 ng/g lw | |
| Human milk | 12 Chinese provinces in 2007 and 16 provinces, 2011 | 681 and 733 ng/g lw, respectively | |
| Human milk | China between 2014 and 2015 | 2.51 μg/g lw | |
| Human milk | UK between 2001 and 2002 | 0.18 μg/g lw | |
| Placenta | China, 2018 | 98.5–3771 ng/lw |
Data were compiled from a table by Wang et al. (2019b)