| Literature DB >> 31432272 |
Marzena Trojanowska1, Ryszard Świetlik2.
Abstract
A possible impact of sample preparation on the chemical fractionation results is generally underestimated in studies of forms of occurrence of heavy metals in river sediments. Our analysis of the recently published results of sequential extraction of chromium has revealed the effect of sample grinding on the result of determination of mobile chromium fractions in river sediments. This observation has been experimentally verified along with the analysation of potential effect of river sediment drying conditions on chromium distribution pattern. The studies were carried out on river sediments polluted with tannery effluents (Cr, 29.2-233 mg/kg). The determined content of chromium bound to carbonates in powdered samples was 2 to 7 times higher than those in raw river sediment samples. It was shown that the main reason was the different kinetic characteristics of chromium leaching in these sediments. Using the shrinking core model, it was found that diffusion through the "ash layer" was the rate-controlling step during the extraction of the carbonate fraction of chromium. It has been additionally confirmed that common air drying of sediment samples does not affect the results of chemical fractionation of chromium.The results of our studies are also vital for the assessment of environmental risk posed by river sediments polluted with heavy metals. In the case of sediment samples used in this study, powdering changed the risk category (RAC) from low risk to high risk. Hence, in order to achieve a realistic assessment of chromium mobility and environmental risk, it is advisable to use raw samples, despite their poorer homogeneity, and thus, lower precision of chemical fractionation results.Entities:
Keywords: Chromium; Leaching kinetics; River sediment; Sample preparation; Sequential extraction
Mesh:
Substances:
Year: 2019 PMID: 31432272 PMCID: PMC6702188 DOI: 10.1007/s10661-019-7727-2
Source DB: PubMed Journal: Environ Monit Assess ISSN: 0167-6369 Impact factor: 2.513
Fig. 1Distribution of chromium fractions in river sediments (published studies: [1] Lin et al. 2018; [2] Lee et al. 2017; [3] Islam et al. 2015; [4 ] Islam et al. 2015a; [5] Islam et al. 2015b; [6] Asa et al. 2013; [7] Dhanakumar et al. 2013; [8] Hejabi and Basavarajappa 2013; [9] Wang et al. 2011; [10] Yu et al. 2010; [11] Giridharan et al. 2010; [12] Rath et al. 2009; [13] Jain et al. 2008; [14] Li et al. 2007; [15] Akele et al. 2016; [16] Chen et al. 2016, [17] Pourabadehei and Mulligan 2015; [18] Fernandes and Nayak 2015; [19] Mayes et al. 2011; [20] Liu et al. 2009, [21] Głosińska et al. 2005; [22] Sáenz et al. 2003; [23] Ho and Egashira 2000; [24] González et al. 2000; [25] Gómez-Ariza et al. 2000b; [26] Xia et al. 2018; [27] Gao et al. 2018; [28] Unda-Calvo et al. 2017; [29] Sayadi et al. 2015; [30] Zhang et al. 2015; [31] Martínez-Santos et al. 2015; [32] Pandey et al. 2015; [33] Pandey et al. 2014; [34] Kumar et al. 2014; [35] Qiao et al. 2013; [36] Yang et al. 2012; [37] Cai et al. 2011; [38] Davutluoglu et al. 2011; [39] Wu et al. 2011; [40] Wang et al. 2010; [41] Kolowski Rodrigues and Formoso 2006; [42] Reis et al. 2005; [43] Liu et al. 2018; [44] Świetlik and Trojanowska 2016; [45] Šestinova et al. 2015; [46] Oyeyiola et al. 2014; [47] Dundar et al. 2013; [48] Roig et al. 2013; [49] Dundar et al. 2012; [50] Nemati et al. 2011; [51] Priadi et al. 2011; [52] Varejão et al. 2011; [53] Yan et al. 2010; [54] Lesven et al. 2009; [55] Arias et al. 2008)
Fig. 2River sediment samples collection sites
Operating conditions used in modified Tessier sequential extraction procedure
| Stage | Fraction | Reagent | Volume of reagent (mL) | Conditionsa,b | |
|---|---|---|---|---|---|
| 1 | F(1) | Exchangeable | 1 M MgCl2 (pH 7) | 8 | Shaking 1 h, RT |
| 2 | F(2) | Bound to carbonates | 1 M CH3COONa, pH 5 (CH3COOH ) | 8 | Shaking 5 h, RT |
| 3 | F(3) | Bound to Fe/Mn oxides | 0.04 M NH2OH·HCl/25% CH3COOH | 20 | Shaking 6 h, 96 °C ± 2 °C |
| 4 | F(4) | Bound to organic matter and sulphides | 30% H2O2 (pH 2) + 0.02 M HNO3 30% H2O2 (pH 2) 3.2 M CH3COONH4/20% HNO3 | 5 + 3 3 5 | Shaking 2 h, 85 °C ± 2 °C Shaking 3 h, 85 °C ± 2 °C Shaking 0.5 h, RT |
| 5 | F(5) | Environmentally persistent | Calculated as the difference between environmentally available metal content and the sum of the fractions determined | – | – |
a1.00 g of sample was used bAll extracted solutions were separated by centrifugation at 10,000 rpm for 30 min and filtered through a membrane filter Millipore 0.45 μm | |||||
Content of chromium and matrix elements of geochemical phases in river sediment samples (mean value (n = 3) ± standard deviation, P = 95%)
| Sample | Cr | Ca | Fe | Mn | C-org. | |
|---|---|---|---|---|---|---|
| P-1A | 2.48 ± 0.40 | 0 | 380 ± 53 | 2384 ± 130 | 54.8 ± 4.1 | 0.42 ± 0.03 |
| P-2A | 29.2 ± 3.6 | 2 | 912 ± 75 | 2865 ± 140 | 134 ± 14 | 1.2 ± 0.01 |
| P-3A | 121 ± 9 | 5 | 1890 ± 90 | 2288 ± 152 | 31.9 ± 6.3 | 3.0 ± 0.02 |
| P-4A | 204 ± 23 | 5 | 3090 ± 290 | 1320 ± 140 | 26.7 ± 3.2 | 1.4 ± 0.02 |
| P-5A | 83.8 ± 8.2 | 4 | 1150 ± 40 | 2880 ± 140 | 34.7 ± 1.1 | 3.3 ± 0.04 |
| P-6A | 233 ± 15 | 5 | 10,450 ± 190 | 11,960 ± 460 | 293 ± 26 | 7.8 ± 0.06 |
Fig. 3Effect of sediment samples preparation on the distribution pattern of chromium: (A) frozen raw sample; (B) air-dried raw sample; (C) air-dried ground sample; (D) oven-dried ground sample
Fig. 4The extraction course of F(2)-Cr from raw samples (a) and from ground samples (b) of river sediments
Fig. 5The extraction course of F(3)-Cr from raw samples (a) and from ground samples (b) of river sediments
Values of regression coefficients (R2) and k values of reaction models for leaching carbonate fraction of chromium from raw (B) and ground (C) river sediment samples
| Sample | Model | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Film diffusion control (small particles) | Chemical reaction control (sphere particles) | Ash layer diffusion control (sphere particles) | |||||||
| Equation | Equation | Equation | |||||||
| P-3B | K·t = 1 − (1 − | 0.0021 | 0.8675 | K·t = 1 − (1 − | 0.0014 | 0.8758 | K·t = 1 − 3(1 − x)2/3 + 2(1 − x) | 0.00050 | 0.9796 |
| P-4B | 0.0024 | 0.8553 | 0.0012 | 0.8813 | 0.00090 | 0.9676 | |||
| P-5B | 0.0027 | 0.7778 | 0.0015 | 0.8041 | 0.00010 | 0.9297 | |||
| P-6B | 0.0035 | 0.7815 | 0.0021 | 0.8108 | 0.0017 | 0.9102 | |||
| – | - | CV = 82.5% | |||||||
| P-3C | 0.20 | 0.9350 | 0.16 | 0.9673 | 0.20 | 0.9808 | |||
| P-4C | 0.16 | 0.8956 | 0.14 | 0.9403 | 0.21 | 0.9477 | |||
| P-5C | 0.19 | 0.9470 | 0.17 | 0.9539 | 0.23 | 0.9581 | |||
| P-6C | 0.21 | 0.8559 | 0.16 | 0.9115 | 0.19 | 0.9548 | |||
| – | - | CV = 9.5% | |||||||
Fig. 6Comparison of risk assessment code (RAC) values for raw (B) and ground (C) sediment samples