Literature DB >> 30090704

Assessment of toxic elements in sediments of Linggi River using NAA and ICP-MS techniques.

Md Suhaimi Elias1,2, Shariff Ibrahim1, Kamarudin Samuding3, Shamsiah Ab Rahman2, Yii Mei Wo4.   

Abstract

Fourteen sediment samples were collected along Linggi River, Malaysia. Neutron activation analysis (NAA) and inductively coupled plasma-mass spectrometry (ICP-MS) techniques were used in the determination of toxic element contents. The results showed that As, Cd and Sb concentrations were higher at all sampling stations, with enrichment factor values ranging from 17.7 to 75.0, 2.1 to 19.5 and 6.6 to 28.4, respectively. Elements of Pb and Zn) were also enriched at most of the sampling stations whilst Cu, Cr and Ni were shown as background levels. The sediment of Linggi River can be categorised as low (<8.0) to very high degree of contamination (>32.0). The mean concentrations of elements viz. Cd, Cr, Ni, Pb, Sb and Zn were lower than the threshold effect level (TEL) of FSQGs values except for As. The concentration of As (arsenic) was higher than PEL and PEC of FSQGs values.

Entities:  

Keywords:  Degree of contamination; Enrichment factor; Freshwater sediment quality guidelines; ICP-MS; Linggi River; NAA

Year:  2018        PMID: 30090704      PMCID: PMC6078904          DOI: 10.1016/j.mex.2018.05.001

Source DB:  PubMed          Journal:  MethodsX        ISSN: 2215-0161


Method details

Background

Heavy metals are considered as serious inorganic pollutants, that can be accumulated in sediments and aquatic food chain [1,2]. These can give adverse effects to the aquatic life [3,4]. Water, sediment and biota significantly play an important role in the assessment of the level of pollution, degree of contamination and toxicology effects [[5], [6], [7]].The major sources of inorganic pollution originated from anthropogenic sources are industrial, domestic, animal waste, mining, petroleum activities and agriculture activities, as well as industrial emissions [8,9]. Sediment Quality Guidelines (SQGs) were developed to assist regulator and enforcement to mitigate and dealing with the contaminated sediment [10]. Typically, the total concentrations of contaminants in the whole sediments are compared to the guideline values to determine whether there is a potential for benthic invertebrate community impairment [11]. SQGs can be used in environmental assessments in combination with other measures such as the water quality, the concentration level and the degree of contamination to evaluate the risk to aquatic ecosystems from the anthropogenic activities. In this study, consensus-FSQGs and Canadian-FSQGS concentration values were used as a reference to evaluate the risk of sediment concentration to the benthic and sediment-dwelling organisms. Assessment of pollution level in water and sediment of the Linggi River is important since Linggi River supplies water to Seremban and Port Dickson area [12]. The Linggi River, was classified as class III by Department of Environment, Malaysia which has required extensive treatment for water resources [13]. The Linggi River pollution was reported on the elemental pollution in water and suspended sediment by Khan (1990). However, since then, there has been no recent work reported regarding heavy metal pollution in sediments collected from Linggi River. Study of heavy metal contents, degree of contamination and also compared with freshwater sediment quality guidelines (FSQGs) of the Linggi River are still limited. In the present study, toxic elements As, Cd, Cr, Cu, Ni, Pb, Sb and Zn in sediments were selected due to their importance with respect to public health concern and impact to the river ecosystem.

Materials and methods

Sampling locations

Fourteen sampling locations were selected along the Linggi River as shown in Fig. 1. The surface sediment samples were collected by using a Ponar grab sampler. Sediment samples were kept in polyethylene bottle and transported to the laboratory. Sediments were dried in an oven at 60 °C until constant weight, ground to a powder form with an agate mortar and then sieved through 63 μm mesh sieve and kept in polyethylene containers.
Fig. 1

Map showing sampling locations.

Map showing sampling locations.

Preparation of mix standard solution, samples and standard reference material (SRM) prior irradiation

Single standard solutions of As, Sb, Cr, Zn and Fe were purchased from Merck brand. The mix standard solution was prepared in volume metric flask of 100 ml. The concentration of mix standard solution of As, Sb, Cr, Zn and Fe are 10, 10, 80, 100, and 1000 mg/L, respectively. Filter papers (Ø = diameter, 1 cm, Whatman brand) were inserted into small polyethylene vial (Ø 1 cm × 3 cm H). An aliquot of 0.2 mL (∼0.2 g) of mix standard solution was dropped onto filter papers and it was dried at 50°C in an oven for 24 h. Polyethylene vial containing of mix standard solution was sealed using heating solder. Wet sediment samples from Linggi River were dried in an oven at 60 °C until constant weight, ground to a powder form with an agate mortar and then sieved through 63 μm mesh sieve and kept in polyethylene containers. The standard reference material (SRM) (IAEA-soil-7) were purchased from IAEA. Approximately 0.15 to 0.20 g homogenised sediment samples and SRM-IAEA-Soil-7 were weighed using the analytical balance into polyethylene vials and sealed with heating solder prior to the irradiation process [14].

Irradiation process

The duplicate samples, mix standard solution and SRM were irradiated together in the 750 kW PUSPATI TRIGA Mark II reactor at Malaysian Nuclear Agency, with a thermal flux of 4.0 × 1012 n cm–2 s–1 [15]. The isotope of radionuclied and other information were shown in Table 1. The irradiation process of up to 6 h at the rotating rack for the long-life radionuclides (As, Sb, Cr, Zn and Fe) were performed. Cooling time for a decay process were ranged from 2 to 4 days before performing the first counting, and 3 to 4 weeks for the second counting using gamma spectrometry.
Table 1

The elements and radionuclied measured using Neutron Activation Analysis (NAA) technique.

ProcedureElementsRadionucliedHalf-timeγ-ray Energy (keV)
Irradiation: 6 h.Counting time: 1 hCooling time: 2 – 4 daysAs76As26.4 hours559
Sb122Sb2.70 days564
Sb124Sb60.9 days603
Cr51Cr27.8 days320
Zn65Zn244 days1115
Fe59Fe45.1 days1099, 1292
The elements and radionuclied measured using Neutron Activation Analysis (NAA) technique.

Counting process and concentration measurement by using NAA technique

The counting process of the irradiated samples, mix standard solution and SRM were performed for one hour each, by using gamma spectrometry. The detector was calibrated from low to high energy of gamma ray by using 241Am (59.5 keV), 109Cd (88.1 keV), 57Co (122.1, 136.5 keV), 133Ba (81.0, 303.0, 356.0, 384.0 keV), 137Cs (661.7 keV), 60Co (1173.2, 1332.5 keV) and 88Y (898.0, 1836.1 keV)[16,17]. The efficiency curve of gamma ray calibration of gamma spectrometer was shown in Fig. 1. The counting geometry of samples, mix standard solution and SRM were performed at 16 cm and 4 cm for the fist and second counting, respectively. The signal of γ-ray from the respective energy of elements were detected by a coaxial hyperpure germanium detector supply by EG&G ORTEC. The signals were then amplified and connected to multichannel analyser (MCA) and then the signal was converted to the photopeak (as net count area) by Gamma Vision software. Computations of elemental concentrations were based on comparative method and data were reported in dry weight (d.w.). The concentration of the sample and SRM was measured by using Eq. (1) [15,18] (Fig. 2).Where: Asmp= net count of the selected peak area of an interested element in a sample
Fig. 2

The efficiency curve of gamma ray calibration of gamma spectrometer at different geometry.

The efficiency curve of gamma ray calibration of gamma spectrometer at different geometry. Astd= net count of the selected peak area of an interested element in a standard Wsmp= Weight of sample used Wstd= Weight of standard used Cstd= Concentration of interested element in standard (e.g.: μg/g, mg/kg) CEl= Concentration of interested element in sample (e.g.: μg/g, mg/kg)

Digestion of sediment sample

Approximately 0.1–0.2 g of homogenised sediment samples of Linggi River were digested in containing of 5 mL nitric acid (67% HNO3 – TraceMetal Fisher brand) and 2 mL concentrated hydrofluoric acid (49% HF – analytical grade, QRëC® brand) by microwave oven (Mars 5 brand). Each digestion batch was included at least two reagents blank acid, SRM (e.g., IAEA Soil-7) and duplicate samples. The microwave oven was programmed as follows: The power of the microwave setup at 1200 W, temperature setup for 200 °C, ramped for 20 min, held for 15 min, pressure setup at 0.6 MPa [7]. Sediment samples were digested for 20 min. After cooling for at least 30 min and microwave temperature below 50 °C, samples were removed from the microwave oven. If the solutions contained some residue, 1 mL HNO3 was added and the digestion process was repeated until clear solutions were obtained. After that, the solution was transferred into Teflon beaker and rinsed with 3 mL Milli-Q water. The Teflon beaker containing the digested sample was heated at 60 °C to 70 °C on a hot plate until dry and the Teflon beaker was then rinsed with 20 mL Milli-Q water. The solution was then filtered with filter paper (Ø=diameter 125 mm, whatmann brand) into a polyethylene bottle and lastly brought up to a volume of 50 ml with Milli-Q water for ICP-MS analysis.

Analysis of samples using inductively coupled plasma – mass spectrometry (ICP-MS)

The commercial mix standard solution (Standard® X) was purchased from Perkin Elmer. Instrumental operating conditions and data acquisition settings of ICP-MS was shown in Table 2. The mix standard solution of 10, 50, 100 and 150 μg/L were prepared for standard calibration curve. The calibrations of Pb, Cd, Cu and Ni showed good linearity with a correlation coefficient (R2) >0.9998 (Table 2). The concentrations of Pb, Cd, Cu and Ni in the samples were analysed by ICP-MS (Perkin Elmer-Elan 6000). The reagent blank acid used in digestion process was monitored throughout the analysis and used to correct the analytical results.
Table 2

Instrumental operating conditions and data acquisition settings of ICP-MS.

Mode of operationOperation condition
Vacuum pressure (standby)2.8 × 10−6 Torr
Vacuum pressure plasma2.5 × 10−5 Torr
Nebulizer Gas Flow0.98 L/min
Lens Voltage6.3 Volts
ICP RF Power1075.0 Watts
Analog Stage Voltage−2150.0 Volts
Pulse Stage Voltage1100.0 Volts
Mass detectionCorrelation coefficient (R2) value111Cd, 63Cu, 60Ni and 208Pb0.999929 (111Cd), 0.999875 (63Cu),999,920 (60Ni) and 0.999827 (208Pb).
Instrumental operating conditions and data acquisition settings of ICP-MS.

Quality control and quality assurance of analytical method

The SRM (IAEA Soil-7) was used as quality control and quality assurance in the analytical method analysis. The SRM measurement followed the same procedure as a sample analysis. The certified and measured value, percentage of recovery, coefficient of variation (CV) and other information are tabulated in Table 2. The recovery and coefficient of variation percentage of the analysed SRM ranged from 81.5 to 113.4% and 4.0 to 22.1, respectively (Table 3). The calculation of relative bias (%) and U test score are described in Eqs. (2) and (3), respectively. The calculated U test value is compared with critical value listed in the t-statistic table to determine if the analysed result differs significantly from the certified value at a given level of probability (Table 4). The U test score are acceptable with U test value is ≤1.95 [19].Where:Canalysed = concentration of analysed value
Table 3

Certified and analysed values of standard reference material (SRM) IAEA-Soil-7 and other information.

ElementSRM (IAEA-Soil-7)Certified value(mg. kg−1)SRM (IAEA-Soil-7)Analysed value (mg.kg−1)Recovery (%)Relative-bias (%)U-test ScoreCoefficient of Variation (%)Limit of detection
Analysed by NAA
As13.4 ± 0.814.5 ± 1.0108.28.20.866.80.05 μg/g
Cr60 ± 1457.9 ± 5.096.5−3.50.148.61.0 μg/g
Fe25700 ± 60025950 ± 1100101.01.00.204.20.01 %
Sb1.7 ± 0.31.81 ± 0.40106.76.70.2222.10.05 μg/g
Zn104 ± 9118 ± 2113.413.41.521.710 μg/g
Analysed by ICP-MS
Cd1.3 ± 0.21.40 ± 0.1107.77.70.457.15.0 ng/L
Cu11.0 ± 2.012.4 ± 0.5112.712.70.684.050.0 ng/L
Pb60.0 ± 11.050.0 ± 5.083.3−16.70.8310.020.0 ng/L
Ni26.0 ± 5.021.2 ± 1.081.5−18.50.944.720.0 ng/L
Table 4

The condition U test score and status of analysed result differs significantly from the certified value.

Condition (score)Status
U-test < 1.64The analysed result does not differ significantly from the certified value.
1.95 > U-test > 1.64The analysed result probably does not differ significantly from the certified value.
2.58 > U-test > 1.95It is not clear whether the analysed result differs significantly from the certified value.
3.29 > U-test > 2.58The analysed result is probably significantly different from the certified value.
U-test > 3.29The analysed result is significantly different from the certified value.
Certified and analysed values of standard reference material (SRM) IAEA-Soil-7 and other information. The condition U test score and status of analysed result differs significantly from the certified value. Ccertified = concentration of certified value σanalysed= standard deviation of analysed value σcertified= standard deviation of certified value

Distributions and concentrations of samples

The concentrations of toxic elements in the surface sediments from Linggi River are listed in Table 5. The mean concentrations of As, Cd, Sb, Pb and Zn were found to be 21.2, 2.9, 6.1, 2.1 and 1.6 times greater, respectively, than the continental crust (CC) values, whilst other elements such as Cu, Cr, Fe, and Ni showed lower concentrations as compared to CC values. All sampling locations of the study area showed higher concentration values of As compared to the CC value. The contamination of As, Cd, Sb, and Zn, were suspected originate from industrial activities. The concentrations of Cu, Pb and Zn concentration values were recorded higher at the downstream area of the Linggi River and were originated from the industrial effluents [12]. Most of the high concentrations of As, Cd, Sb, and Zn were observed at sampling locations of SL 09 – SL15, which are significantly derived from elementals pollution from Linggi River (main river) and its tributary (Simin river) (Fig. 1). High concentrations of Pb were observed at SL02 and SL03 (Seremban area), SL07 and SL09 (Rantau area), where most of the industrial activities are located. The contamination of Pb was suspected from industrial activities with effluents from metal smelting, electroplating and factories. However, the possible sources of As and Pb elements are originated from phosphate fertilizer, lead-arsenate insecticides, and pesticides used in the agriculture activities [20].
Table 5

The concentrations of toxic elements (mg/kg) in Linggi River sediments.

LocationAs*Cd#Cr*Cu#Fe*Ni#Pb#Sb*Zn*
SL013.60.093.81.551603.415.80.2420.1
SL0215.40.168.23.4139306.937.40.8058.8
SL0312.80.197.22.9133704.239.00.6154.6
SL043.800.091.72.319901.88.20.2612.4
SL0629.90.1526.014.51706010.213.41.5336.8
SL0729.90.2340.021.61594014.052.33.14171
SL0836.50.4221.511.0123707.125.51.0953.3
SL0957.91.1010566.23204029.746.04.44430
SL1057.10.4547.321.32244013.741.72.29113
SL1127.10.2723.010.6116709.127.91.4567.0
SL1245.20.3437.414.71893012.338.72.2790.6
SL1354.00.1139.67.3226106.313.62.2590.1
SL1465.60.2149.513.72802013.436.82.53113
SL1565.90.2655.613.83241012.730.22.65130
Average36.10.2933.314.61771010.330.51.83103
CC1.700.10126.025.04320056.014.80.3065.0

CC = Continental crust values published by Wedephol (1995).

Sediment samples were analysed by ICP-MS (#) and NAA technique (*).

The concentrations of toxic elements (mg/kg) in Linggi River sediments. CC = Continental crust values published by Wedephol (1995). Sediment samples were analysed by ICP-MS (#) and NAA technique (*).

Enrichment factor (EF)

In order to evaluate possible anthropogenic sources of toxic elements, the enrichment factor (EF) was calculated based on the Eq. (4) below:Where M is the element of interest, R is the reference element, (M/R)measure is the elemental ratio found in the sample, and (M/R)CC is the elemental ratio in the continental crust. Iron (Fe) was used for normalisation purpose to determine the metal and heavy metal pollution of Linggi River. The selection of Fe as a normalisation element and used to be in the EF calculation was due to Fe distribution being not related to other heavy metals [21]. Fe usually has a relatively high natural concentration [22], and therefore not expected to be substantially enriched from anthropogenic source in estuarine sediment [23]. Most of the researchers suggested that EF values as the following: EF < 2 indicates no enrichment, EF = 2 to 3 is minor enrichment, EF = 3 to 5 is moderate enrichment, EF = 5 to 10 is moderately severe enrichment, EF = 10 to 25 is severe enrichment, EF = 25 to 50 is very severe enrichment and EF > 50 is extremely severe enrichment [24]. EF values of less than 2.0 indicate that the element in the sediment originated predominantly from lithogenous materials, whereas EFs are much greater than 2.0 indicating that the element is of anthropogenic origin[25]. The calculated EF values for selected elements of Linggi River are shown in Table 6. The EFs of As show enrichment in all sampling locations (EF values 17.7–75.0). Arsenic pollution can be categorised as severe to extreme enrichment. Cd, Pb, Sb and Zn can be categorised as minor to severe enrichment at most of the other sampling locations. Other elements such as Cr, Cu and Ni showed no enrichment at most of the sampling locations. EF of metals and heavy metals can be valuable and have been used as an indirect indicator for evaluation of sediment contamination or toxicity. However, it is not sufficient to use enrichment factor only for the evaluation of sediment toxicity at a particular site. Consideration for the degree of contamination in sediment and comparison with sediment guidelines are useful to evaluate the toxicity of the sediment for the particular site.
Table 6

Enrichment factor (EF) values of toxic elements in the sediments from Linggi River.

LocationAsCdCrCuNiPbSbZn
SL0117.77.30.30.50.58.96.82.6
SL0228.05.00.20.40.47.88.32.8
SL0324.46.00.20.40.28.56.62.7
SL0449.019.50.32.00.712.118.94.1
SL0644.63.80.51.50.52.312.91.4
SL0747.66.20.92.30.79.628.47.1
SL0875.014.80.61.50.46.012.72.9
SL0945.914.81.13.60.74.219.98.9
SL1064.68.60.71.60.55.414.73.4
SL1159.09.90.71.60.67.017.93.8
SL1260.77.70.71.30.56.017.33.2
SL1360.72.10.60.60.21.814.42.6
SL1459.53.30.60.80.43.813.02.7
SL1551.73.50.60.70.32.711.82.7

Notes: Bold type indicates the enrichment of elemental pollution in sediment (EF value > 2.0).

Enrichment factor (EF) values of toxic elements in the sediments from Linggi River. Notes: Bold type indicates the enrichment of elemental pollution in sediment (EF value > 2.0).

Degree of contamination (Cd)

To describe the contamination of toxic elements in Linggi River, the following Eqs. 5 and 6 below are used to define as a contamination factor (Cf) and degree of contamination (Cd), respectively;where Cd is the degree of contamination, Cf is a contamination factor, C is the metal content in the sediments and C0 is a background value (reference value of metals). The following terminology was used to describe the contamination factor: Cf < 1 low contamination factor (indicating low sediment contamination); 1 ≤ Cf < 3 moderate contamination factor; 3 ≤ Cf < 6 considerable contamination factor; Cf ≥ 6 very high contamination factor [26]. The contamination factor (Cf) values were shown in Table 7. At all sampling stations As showed very high contamination factor, except at stations SL01 and SL04. Contamination factors of Cr, Cu and Ni can be categorised as low contamination. The elements of Cd, Pb, Sb and Zn can be categorised as low to very high contamination factor. The results indicated that contamination of sediments of Linggi River were mainly contributed by As, Cd, Pb, Sb and Zn.
Table 7

Contamination factor (Cf) and degrees of contamination (Cd) values of toxic elements from Linggi River.

LocationAsCdCrCuNiPbSbZnCd
Cf
SL012.10.90.030.060.061.10.80.35.3
SL029.01.60.060.130.122.52.70.917.1
SL037.51.90.060.120.082.62.00.815.2
SL042.30.90.010.090.030.60.90.24.9
SL0617.61.50.210.580.180.95.10.626.6
SL0717.62.30.320.870.253.510.52.637.9
SL0821.54.20.170.440.131.73.60.832.6
SL0934.011.00.842.650.533.114.86.673.6
SL1033.64.50.380.850.242.87.61.751.7
SL1115.92.70.180.420.161.94.81.027.1
SL1226.63.40.300.590.222.67.61.442.6
SL1331.81.10.310.290.110.97.51.443.4
SL1438.62.10.390.550.242.58.41.754.6
SL1538.82.60.440.550.232.08.82.055.5
Contamination factor (Cf) and degrees of contamination (Cd) values of toxic elements from Linggi River. The degrees of contamination (Cd) values of Linggi River are shown in Table 7. The degree of contamination (Cd) is defined as the sum of all contamination factors (Cf) of As, Cd, Cr, Cu, Ni, Pb, Sb, and Zn. Degree of contamination can be categorised into four categories according to the Hakanson (1980) classification. For the description of degree of contamination values, the following terminologies have been used: Cd < 8 low degree of contamination; 8 ≤ Cd < 16 moderate degree of contamination; 16 ≤ Cd < 32 considerable degree of contamination; Cd ≥ 32 very high degree of contamination. SL01 and SL04 can be categorised as low degree of contamination with Cd values 5.3 and 4.9, respectively. Sampling location of SL03 can be categorised as having a moderate degree of contamination. SL02, SL06 and SL11 stations can be categorised into considerable degree of contamination. Most of the sampling stations (eight stations) showed very high degrees of contamination with Cd values ranging from 32.6 to 73.6. This indicated very high loading of anthropogenic pollution at these eight sampling locations (SL07 to SL10 and SL12 to SL15).

Comparison of toxic elements with FSQGs

In this paper, we adopted the Canadian Freshwater Sediment Quality Guidelines (Canadian-FSQGs) and the Consensus Freshwater Sediment Quality Guidelines (Consensus-FSQGs) published by MacDonald (2000) for the purpose of comparison between Malaysian rivers sediment and FSQGs. If a trace element concentration in sediment was less than the TEC or TEL values, the sediments were considered to be clean to marginally pollute. No effects on the majority of sediment-dwelling organisms were expected below the TEC or TEL concentration values. If the concentration of toxic element in sediment was greater than the PEC or PEL values, the sediments were to be considered heavily polluted. Adverse effects on the majority of sediment-dwelling organisms were expected when the concentrations exceeded PEC or PEL of FSQGs values. Comparisons of toxic elements in sediments of the Linggi River and Malaysian rivers to Canadian FSQGs and Consensus FSQGs are shown in Table 8. Mean As concentrations of Linggi River in this study were higher than those of the Canadian-FSQGs – PEL value and Consensus-FSQGs – PEC value. These indicated that the Linggi River sediments were polluted with As and this may cause adverse effects to the majority of sediment-dwelling organisms. However, mean concentrations of Cd, Cr, Cu, Ni, Pb and Zn are less than the Canadian-FSQGs – TEL value and Consensus-FSQGs – TEC value. The concentration of As in sediments of Pelepah Kanan River, Kota Tinggi showed 4.5 times higher than the Consensus-FSQGs – PEC value and mean concentration of Cd in sediments of Langat River (12.1 mg/kg) showed higher concentration as compared to the Consensus-FSQGs – PEC value (4.98 mg/kg), as shown in Table 8.
Table 8

Comparison of toxic element concentrations in sediments of Malaysian rivers with freshwater sediment quality guidelines (FSQGs) (mg/kg d.w.).

LocationAsCdCrCuNiPbSbZn
Linggi River, - present study(n = 14)3.6 – 65.9 (36.0)0.09 – 1.10(0.29)1.8 – 105 (33.2)1.5 - 66.2 (14.6)1.8 – 29.7 (10.3)8.2 – 52.3 (30.0)0.24 –4.44 (1.83)12.4 – 430(103)
a Linggi River, Negeri Sembilan (n = 8)26 – 78(42)13 – 74(30)15 – 28(24)33 – 92(56)35 – 135 (78)
b Terangganu River, Terengganu (n = 42)0.83 – 23.09 (9.48)0.35 – 0.52 (0.44)0.051 – 124.9 (32.1)
cKerteh River, Terengganu (n = 9)4.0 – 5.0(4.3)13 – 67(33.7)6.3 – 20.0(11.2)7 – 24(11.2)11 – 25(15.5)16 – 62(44.7)
dKelantan River, Kelantan (n = 26)(1.82)(6.47)(20.82)(18.67)
eJuru River, Penang (n = 7)2 - 1440 - 1172 - 483
fLangat River, Selangor (n = 10)12.4 – 27.3 (17)3.0 – 37.9(12.1)11 – 73(29)0.82 – 5.0(3.1)71 – 374(154)
gKlang River, Selangor (n = 21)0.57 – 2.19(1.54)10.6 – 63.0(37.1)5.9 – 24.5(16.3)24.2 – 64.1(47.9)31.9 – 272(163)
hPelepah Kanan River,Kota Tinggi, Johor. (n = 15)98 – 279(149)5 – 30(17)58 – 259(117)0 – 9.0(5.3)10 – 54(34)44 – 100(61)
iCanadian-FSQGs – TEL value5.90.6037.335.71835.0123
iCanadian-FSQGs – PEL value17.03.5090.01973691.3315
jConsensus-FSQGs – TEC value9.790.9943.431.622.735.8121
jConsensus-FSQGs – PEC value33.04.9811114948.6128459

a [12], 1990; b [27]; c[28] ; d[29]; e[30]; f[31]; g[32]; h[33]; i [34]; j[11]; value in parentheses = mean concentration; TEL – Threshold Effect Level, PEL – Probable Effect Level; TEC - Threshold Effect Concentration; PEC – Probable Effect Concentration.

Comparison of toxic element concentrations in sediments of Malaysian rivers with freshwater sediment quality guidelines (FSQGs) (mg/kg d.w.). a [12], 1990; b [27]; c[28] ; d[29]; e[30]; f[31]; g[32]; h[33]; i [34]; j[11]; value in parentheses = mean concentration; TEL – Threshold Effect Level, PEL – Probable Effect Level; TEC - Threshold Effect Concentration; PEC – Probable Effect Concentration.

Conclusions

The enrichment factors and degree of contaminations showed that the sediments collected from the Linggi River were polluted with toxic elements As, Cd, Pb, Sb, and Zn. The source of As, Cd, Pb, Sb, and Zn pollution were originated from industries. Amongst the elements analysed, As showed high EF and Cf values in most of the sampling stations. The mean As concentrations of Linggi River sediments showed higher concentration than values from the guidelines of Canadian-FSQGs - PEL (17.0 mg/kg) and Consensus-FSQGs – PEC (33.0 mg/kg). The high concentrations of toxic elements such as As and Cd than those of the PEC-FSQGs could result in an adverse effect on the benthic organisms and marine ecology. The results of the assessment of Linggi River sediments obtained from this study will provide vital information that can be used for future comparison. Information from the present study will be useful to the relevant government agencies and authorities in preparing preventive actions to control direct discharge of toxic elements and other pollutants from industries, agro-based activities and domestic wastes into the rivers.
  10 in total

1.  Development and evaluation of consensus-based sediment quality guidelines for freshwater ecosystems.

Authors:  D D MacDonald; C G Ingersoll; T A Berger
Journal:  Arch Environ Contam Toxicol       Date:  2000-07       Impact factor: 2.804

2.  Assessment of heavy metal enrichment factors and the degree of contamination in marine sediments from Tamaki Estuary, Auckland, New Zealand.

Authors:  G M S Abrahim; R J Parker
Journal:  Environ Monit Assess       Date:  2007-03-17       Impact factor: 2.513

3.  Determination and speciation of heavy metals in sediments of the Juru River, Penang, Malaysia.

Authors:  P E Lim; M Y Kiu
Journal:  Environ Monit Assess       Date:  1995-04       Impact factor: 2.513

4.  Ecological risk assessment of heavy metals in sediment and human health risk assessment of heavy metals in fishes in the middle and lower reaches of the Yangtze River basin.

Authors:  Yujun Yi; Zhifeng Yang; Shanghong Zhang
Journal:  Environ Pollut       Date:  2011-07-14       Impact factor: 8.071

5.  Elemental distribution and trace metal contamination in the surface sediment of south east coast of India.

Authors:  S Barath Kumar; R K Padhi; A K Mohanty; K K Satpathy
Journal:  Mar Pollut Bull       Date:  2016-10-27       Impact factor: 5.553

6.  Spatial assessment and source identification of trace metal pollution in stream sediments of Oued El Maadene basin, northern Tunisia.

Authors:  J Ayari; Y Agnan; A Charef
Journal:  Environ Monit Assess       Date:  2016-06-07       Impact factor: 2.513

7.  Contamination and ecological risk assessment of trace elements in sediments of the rivers of Sundarban mangrove forest, Bangladesh.

Authors:  M A Islam; A Al-Mamun; F Hossain; S B Quraishi; K Naher; R Khan; S Das; U Tamim; S M Hossain; F Nahid
Journal:  Mar Pollut Bull       Date:  2017-07-29       Impact factor: 5.553

8.  Multivariate analysis for source identification of pollution in sediment of Linggi River, Malaysia.

Authors:  Md Suhaimi Elias; Shariff Ibrahim; Kamarudin Samuding; Shamsiah Ab Rahman; Yii Mei Wo; Jeremy Andy Dominic Daung
Journal:  Environ Monit Assess       Date:  2018-03-29       Impact factor: 2.513

9.  Baseline survey of sediments and marine organisms in Liaohe Estuary: Heavy metals, polychlorinated biphenyls and organochlorine pesticides.

Authors:  Hongjun Li; Sheng Ye; Jinqing Ye; Jingfeng Fan; Meiling Gao; Hao Guo
Journal:  Mar Pollut Bull       Date:  2016-10-07       Impact factor: 5.553

10.  Assessment of natural radioactivity in various commercial tiles used for building purposes in Nigeria.

Authors:  E S Joel; O Maxwell; O O Adewoyin; C O Ehi-Eromosele; Z Embong; F Oyawoye
Journal:  MethodsX       Date:  2018-01-04
  10 in total
  2 in total

1.  Dataset on concentration and enrichment factor of rare earth elements (REEs) in sediments of Linggi River, Malaysia.

Authors:  Md Suhaimi Elias; Shariff Ibrahim; Kamarudin Samuding; Nesamalar Kantasamy; Jeremy Andy Dominic Daung; Shamsiah Ab Rahman; Azian Hashim
Journal:  Data Brief       Date:  2019-05-24

2.  Spatial distribution of multielements including lanthanides in sediments of Iron Gate I Reservoir in the Danube River.

Authors:  Otilia Ana Culicov; Tatjana Trtić-Petrović; Roman Balvanović; Anđelka Petković; Slavica Ražić
Journal:  Environ Sci Pollut Res Int       Date:  2021-04-14       Impact factor: 4.223

  2 in total

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