Sasan Rabieh1, Odmaa Bayaraa2, Emarosa Romeo3, Patila Amosa4, Khemet Calnek1, Youssef Idaghdour2, Michael A Ochsenkühn5, Shady A Amin5, Gary Goldstein6, Timothy G Bromage1,7. 1. Department of Molecular Pathobiology, New York University College of Dentistry, 345 East 24th Street, New York, NY 10010, USA. 2. Environmental Genomics Lab, Biology Program, Division of Science and Mathematics, New York University Abu Dhabi, Saadiyat Island, PO Box 129188, Abu Dhabi 51133, UAE. 3. Hydrology Division, Ministry of Natural Resources and Environment, Level 3, Tui Atua Tupua Tamasese Efi Building (TATTE), Sogi., P.O. Private Bag, Apia 95564, Samoa. 4. Faculty of Science, National University of Samoa, P.O. Box 1622, Apia 95564, Samoa. 5. Marine Microbial Ecology Lab, Biology Program, New York University Abu Dhabi, Saadiyat Island, PO Box 129188, Abu Dhabi 51133, UAE. 6. College of Dentistry, New York University, 345 East 24th Street, New York, NY 10010, USA. 7. Department of Biomaterials, New York University College of Dentistry, 345 East 24th Street, New York, NY 10010, USA.
Abstract
The elemental composition of freshwater and saltwater samples around the South Pacific island of Upolu, Samoa has been investigated together with other indicators of water quality. Up to 69 elements from Li (3) to U (92) are measured in each sample, analyzed by Mattauch-Herzog-inductively coupled plasma-mass spectrometry (MH-ICP-MS). One hundred and seventy-six samples were collected from surface freshwater sources (24 rivers, two volcanic lakes, one dam) and from seawater sources from the surface to 30 m depth (45 inner reef, reef, and outer reef locations) around Upolu Island, including river mouths and estuaries. Principal component and hierarchical clustering correlation analyses were performed on quantile normalized log transformed elemental composition data to identify groups of samples with similar characteristics and to improve the visualization of the full spectrum of elements. Human activities, such as the use of herbicides and pesticides, may relate to observed elevated concentrations of some elements contained in chemicals known to have deleterious obesogenic effects on humans that may also cause coral reef decline. Furthermore, the salinity of some saltwater samples tested were very high, possibly due to climate variability, which may additionally harm the health and biodiversity of coral reefs.
The elemental composition of freshwater and saltwater samples aroundthe South Pacific island of Upolu, Samoa has been investigated together with other indicators of water quality. Up to 69 elements from Li (3) to U (92) are measured in each sample, analyzed by Mattauch-Herzog-inductively coupled plasma-mass spectrometry (MH-ICP-MS). One hundred and seventy-six samples were collected from surface freshwater sources (24 rivers, two volcanic lakes, one dam) and from seawater sources from the surface to 30 m depth (45 inner reef, reef, and outer reef locations) around Upolu Island, including river mouths and estuaries. Principal component and hierarchical clustering correlation analyses were performed on quantile normalized log transformed elemental composition data to identify groups of samples withsimilar characteristics and to improve the visualization of the full spectrum of elements. Human activities, such as the use of herbicides and pesticides, may relate to observed elevated concentrations of some elements contained in chemicals known to have deleterious obesogenic effects on humansthat may also cause coral reef decline. Furthermore, the salinity of some saltwater samples tested were very high, possibly due to climate variability, which may additionally harm the health andbiodiversity of coral reefs.
The quality of freshwater and saltwater resources in relation to their elemental composition, salinity, and many other water quality parameters, such as microbial diversity and microplastics content, is a serious contemporary environmentalconcern for aquatic life and for humansthat depend on these waters. To better understandthe potential negative health effects of excesses and deficiencies of element concentrations, an entire elemental analysis is necessary. Apart from biosphere processes, there are numerous human activities that generate anthropogenic effects on top of natural elemental compositions of various water resources with a consequence to their quality for sustaining life [1,2,3,4,5,6,7].For the determination of the complete inorganic spectrum of elements in aqueous samples, there are several analytical techniques currently in use, such as electrothermal atomic absorption spectroscopy (ETAAS), inductively coupled plasma optical emission spectrometry (ICP-OES), and various types of inductively coupled plasma-mass spectrometry (ICP-MS) [8,9,10,11]. However, these techniques are typically limited in the practical number of elements that can be analyzed from a single sample. Recently, we have developed a method for simultaneous multi-element detection across the breadth of the chemical periodic table in various aqueous samples using a Mattauch–Herzog geometry-inductively coupled plasma-mass spectrometry (MH-ICP-MS) [12].The Mattauch–Herzog geometry has a configuration of electrostatic and magnetic fields that spreads ions over the complete mass range and distributes them along a flat plane [13]. In contrast to a multicollector-ICP-MS, the MH-ICP-MS uses a single 4800 pixel element detector permitting the simultaneous detection of isotopes over the full relevant inorganic mass spectrum from 6Li to 238U (SPECTRO MS, SPECTRO Analytical Instruments GmbH, Kleve, Germany). Technical specifications are available elsewhere [14]. Targeted evaluations may be performed on any number of elements desired, or else discovery-based research, otherwise impractical using conventional ICP-MS, may be used across the whole of the mass range.A principal advantage of this MH geometry is its embracing of the entire inorganic mass range from 6Li to 238U in a single assay. This helps to ease the limit on the number of inorganic elements whose concentrations may be routinely measured from one sample. It also reduces the operating time and sample volumes for evaluations across the breadth of the periodic table [12].Driven by knowledge of coral reef andhuman health decline on Upolu Island, Samoa, our mission is to evaluatethe ecological stoichiometry of the Island, which relates to the distributions andconcentrations of elements in the environment, and to assess the islands’ biosecurity of water resources in relation to aquatic water quality andhuman health. This mission is designed to complement the concerns of threats to Upolu Island environments due to global climate change, global warming, and increasing seawatertemperatures [15], as well threats from overfishing, sedimentation, microbial and chemical pollutants, and waste disposal [16].Generally, a very limited number of elements are investigated for environmentalwater monitoring purposes around Upolu Island. To assess water quality, some of the physical, chemical, and microbiological parameters of Vaisigano River in Upolu Island have been investigated. Lead andcopper were considered in this study [17]. An investigation of the chemical composition of Upolu Island drinking water supplies have included analyses of copper, lead, chloride, fluoride, andnitrate anions from Falelatai, Aufaga, and Letogo rivers [18].We enter into this study knowing that many elements, such as sodium, calcium, andselenium [19,20], are essential to life, but also that many heavy metals have no biological function and are harmful to life in even relatively moderateconcentrations. Cadmium (Cd), lead (Pb), andmercury (Hg), for instance, are particularly egregious to life, andtheir distributions andconcentrations are typically a result of industrial andhuman activity [21,22,23]. However, we also know that excessively high amounts of some essential elements in the body can be toxic. Rare earth elements (REEs) known as lanthanides with scandium andyttrium have no biological function andtherefore are considered not to bebiologically important [24].To the best of our knowledge, this is the first comprehensive study performed in the freshwater and saltwater resources of Upolu Island. This study was conducted under the patronage of Honorable Tuilaepa Dr. Sailele Malielegaoi, Prime Minister of Samoa. The Government of Samoa withthe assistance of the United Nations Development Programme will use these findings as part of Samoa’s next report to the United Nations Convention on Biological Diversity.We analyze up to 69 elements in each sample simultaneously in a single run using MH-ICP-MS. There are several objectives of this study. We analyze the elemental composition across the breadth of the chemical periodic table from various freshwater, saltwater, andwater samples from transitional locations such as mangrove swamps and estuaries around Upolu Island using our recently developed MH-ICP-MS method. We also provide a basic water quality assessment. We then investigatethe possible relationship between the aforementioned analyses withthe current status of aquatic andhuman health. Finally, we provide recommendations that local authorities may use to help mitigatethe negative impacts of anthropogenic activities and to restore healthy environmentalconditions.
2. Results
2.1. Multi-Element Determination in Freshwater Samples
The results of multi-element analysis including the range and mean values of 67 freshwater (FW) samples using a MH-ICP-MS are summarized in Table 1. Among major and minor elements, chlorine, sodium, calcium, silicon, andmagnesium were dominant in freshwater samples withthe concentration range (µg/L) of Cl: 8.9–133,023; Na: 1277–90,863; Ca: 915–24,663; Si: 1564–15,887; andMg: 893–19,571. All these elements but Cl were present in all investigated samples, andchlorine was not detected in 14 samples. The highest concentration of chlorine andsodium were obtained in FW 09 (Faleaseela River). FW 61 (Vailima River), FW 07 (Faleaseela River), and MW 03 (Mulivaifagatola River) have the highest concentrations of calcium, silicon, andmagnesium, respectively.
Table 1
Elemental composition in 66 freshwater samples (FW) from various rivers and lakes.
Concentration (µg/L)
Concentration (µg/L)
Concentration (µg/L)
Element
Range
Mean
Element
Range
Mean
Element
Range
Mean
Li
<LoD a–1.5
<1.5
Br
5.2–853
33
Eu
0.0030–0.034
0.012
Be
<LoD
<LoD
Se
0.030–17
0.99
Gd
0.0030–0.095
0.026
B
0.40–39
5.1
Rb
0.16–8.5
2.8
Tb
0.0040–0.012
0.0083
Na
1277–90,863
6171
Sr
7.7–252
65
Dy
0.0040–0.080
0.017
Mg
893–19,571
6658
Y
0.0030–0.41
0.094
Ho
0.011–0.012
0.012
Al
1.3–181
17
Zr
0.0020–2.2
0.20
Er
0.0040–0.044
0.014
Si
1564–15,887
9493
Nb
0.0050–0.31
0.050
Tm
0.0020–0.0030
0.0025
P
<LoD–6.7
<6.7
Mo
0.0040–0.29
0.065
Yb
0.0060–0.036
0.025
S
<LoD–258
<258
Ru
0.0070–0.0090
0.0079
Lu
0.0020–0.0030
0.0025
Cl
8.9–133,023
5821
Ag
0.0060–0.021
0.014
Hf
0.0040–0.053
0.023
K
74–3909
803
Pd
0.0080–0.062
0.034
Ta
0.017–0.021
0.019
Ca
915–24,663
7333
Cd
0.0080–0.019
0.012
W
0.0020–0.039
0.0088
Ti
0.018–105
6.1
In
<LoD
<LoD
Re
0.0050–0.0090
0.0071
V
0.27–7.4
2.9
Sn
0.0030–0.017
0.0078
Os
<LoD
<LoD
Cr
0.18–2.4
0.57
Sb
0.0030–0.24
0.030
Ir
<LoD–0.0050
<0.0050
Fe
0.20–848
110
Te
0.012–0.16
0.088
Pt
0.0060–0.014
0.010
Mn
0.0020–42
1.3
Cs
0.0010–0.052
0.020
Au
<LoD
<LoD
Co
0.0030–0.34
0.053
Ba
1.1–22
4.2
Hg
<LoD
<LoD
Ni
0.0060–5.2
0.52
La
0.0020–0.34
0.075
Tl
0.0010–0.19
0.016
Cu
0.013–1.6
0.34
Ce
0.0020–1.0
0.17
Pb
0.0060–0.11
0.026
Zn
0.024–4.7
1.3
Pr
0.0020–0.090
0.021
Bi
0.0030–0.0060
0.0041
Ga
0.010–0.33
0.041
Nd
0.0030–0.50
0.064
U
0.0010–0.095
0.0094
As
0.0010–0.46
0.12
Sm
0.0070–0.10
0.053
a < LoD: below the limit of detection.
Lithium was only detected in FW 09 sample (Faleaseela River) withthe concentration of 1.46 µg/L. Five elements, namely beryllium (Be), indium (In), osmium (Os), gold (Au), andmercury (Hg), were below the detection limit.Of all samples, the full spectrum of rare earth elements (REEs) were detected in two samples, FW 55 and FW 56 in the Tiavea River. Most REEs’ concentrations were below detection limits in other analyzed samples. However, the concentration of those elements detected in some of the samples was not higher than 0.20 µg/L.The highest content of bromine (Br) was detected in two samples, FW 09 (Faleaseela River) and MW 03 (Mulivaifagatola River), withthe concentration of 853 and 378 µg/L, respectively. The highest content of strontium (Sr) was obtained in MW 03 (Mulivaifagatola River) and FW 09 (Faleaseela River) samples withthe concentrations of 252 and 109 µg/L, respectively.Most of so-called Mix 2 elements (Sb, Ge, Au, Hf, Ir, Mo, Nb, Pd, Pt, Re, Rh, Ru, Ta, Sn, Ti, W, and Zr) were either not detected or were at very low µg/L or at ng/L range, except the titanium (Ti), which was detected at the concentration of about 100 µg/L in two samples of FW 55 and FW 56 (from Tiavea River).While Iron (Fe) was not detected or was at low µg/L range, the higher amounts of 848, 775, 585, 395, and 355 µg/L were detected for the five samples of FW 55, FW 56, and FW 40 (Mulivaifagatola River), FW 50 (Taelefaga River), and FW 64 (Vaisigano River), respectively.The concentration of trace elements of manganese (Mn), cobalt (Co), nickel (Ni), andcopper (Cu) were either not detected or were at a very low µg/L or at ng/L range, except for samples FW 55 and FW 56 (both from Tiavea River), which were relatively the same and at about 6, 0.3, 5, and 1.5 µg/L, respectively.Because the range of concentrations was large, a log transformation of the data was not sufficient to visualize all element concentration variability, particularly among the freshwater sources. For this reason, to log transformed data we applied quantile normalization for the samples to generate a common unit for all element concentrations. Quantile normalization is based on density-adjusted rank ordering making distributions identical in statistical properties and spreading the resultant out between the values 0 and 1, i.e., from no concentration detected to the maximum concentration respectively. This reveals structure in the visualization of the data (Supplementary Figure S1) and allows comparisons of element across samples.
2.2. Multi-Element Determination in Mangrove Swamp Water Samples
The results of multi-element analysis including the range and mean values of 9 mangrove swamp water (MW) samples using a MH-ICP-MS are summarized in Table 2. Among major and minor elements, chlorine (Cl), sodium (Na), magnesium (Mg), calcium (Ca), potassium (K), sulphur (S), andbromine (Br) were dominant in mangrove swamp water samples withthe concentration range (mg/L) of Cl: 13–18,592; Na: 13–3722; Mg: 6.3–1542; Ca: 7.4–339; K: 0.80–331; S: 1.0–282; andBr: 0.065–112. These seven elements were present in all investigated samples. The highest concentration of these seven elements were detected in the MW 01 sample.
Table 2
Elemental composition in 9 mangrove swamp water samples (MW) from various swamps.
Concentration (µg/L)
Concentration (µg/L)
Concentration (µg/L)
Element
Range
Mean
Element
Range
Mean
Element
Range
Mean
Li
3.8–72
26
Sr
58–6736
1872
Gd
<LoD–0.0050
<0.0050
Be
<LoD a
<LoD
Y
<LoD
<LoD
Tb
<LoD
<LoD
B
8.6–3220
912
Zr
<LoD–0.0070
<0.0070
Dy
<LoD
<LoD
Na
12,566–3,722,473
1,030,848
Nb
<LoD
<LoD
Ho
<LoD
<LoD
Mg
6315–1,541,911
429,281
Mo
0.057–8.7
2.4
Er
<LoD
<LoD
Al
2.1–6.2
3.6
Ru
<LoD
<LoD
Tm
<LoD
<LoD
Si
1522–14,816
9490
Ag
<LoD
<LoD
Yb
<LoD
<LoD
P
<LoD
<LoD
Pd
<LoD
<LoD
Lu
<LoD
<LoD
S
1038–282,435
104,368
Cd
0.043–0.45
0.20
Hf
<LoD
<LoD
Cl
13,294–18,592,427
5,027,907
In
<LoD–0.0050
<0.0050
Ta
<LoD
<LoD
K
808–331113
91,270
Sn
0.0040–0.019
0.012
W
<LoD–0.0040
<0.0040
Ca
7429–339042
99,982
Sb
<LoD–0.0030
<0.0030
Re
<LoD
<LoD
Fe
<LoD–0.20
<0.20
Te
<LoD
<LoD
Os
<LoD
<LoD
Mn
0.050–3.1
0.98
Cs
0.0090–0.33
0.10
Ir
<LoD
<LoD
Co
0.0060–0.024
0.016
Ba
4.0–22
10
Pt
<LoD
<LoD
Ni
0.13–19
5.9
La
<LoD
<LoD
Au
<LoD
<LoD
Cu
0.13–5.5
1.6
Ce
<LoD
<LoD
Hg
<LoD
<LoD
Zn
0.15–14
4.44
Pr
<LoD
<LoD
Tl
0.0080–0.67
0.24
Ga
<LoD
<LoD
Nd
0.010–0.038
0.024
Pb
0.0070–0.77
0.23
Br
65–112,023
30,985
Sm
<LoD
<LoD
Bi
<LoD
<LoD
Rb
1.7–103
30
Eu
<LoD
<LoD
U
0.0020–1.8
0.46
Lithium was detected in all mangrove swamp water samples withthe concentration range of 3.8–72 µg/L, the highest concentration in this range detected from MW 01. Beryllium (Be), phosphorus (P), iron (Fe), gallium (Ga), silver (Ag), tellurium (Te), osmium (Os), mercury (Hg), andbismuth (Bi) were not detected.No REEs were detected in mangrove swamp water samples except for (i) neodymium (Nd) in MW 01 and MW 04 at the concentration of 0.038 and 0.010 µg/L, respectively; and (ii) gadolinium (Gd) in MW 04 at the concentration of 0.0050 µg/L.Withthe exception of molybdenum (Mo) andtin (Sn), no so-called Mix 2 elements (see Materials and Methods) were detected in MW samples. Molybdenum was detected in all of the samples withthe concentration range of 0.057 to 8.7 µg/L. The highest concentrations of Mo were detected in the MW 01. Tin was detected only in the FW 06 sample at the concentration of 0.019 µg/L.Silicon (Si) andboron (B) were found in all MW samples at the concentration range of 1522–14,816 and 8.6–3220 µg/L, respectively. The highest concentrations of Si and B were found in FW 06 and MW 01, respectively.The concentrations of trace elements manganese (Mn), nickel (Ni), copper (Cu), and zinc (Zn) were detected in all samples at the range of 0.050–3.1, 0.13–19, 0.13–5.5, and 0.15–14 µg/L, respectively. The highest concentration of these four elements were found in the MW 01 sample. Cobalt (Co) was either not detected or found in the low µg/L range.Rubidium (Rb), strontium (Sr), anduranium (U) were detected in all samples at the concentration range of 1.1–103, 58–6736, and 0.0020–1.8 µg/L, respectively. The highest concentration of these elements was found in the MW 01 sample.Lead (Pb) was detected in all MW samples at the concentration range of 0.0070–0.77 µg/L. The highest concentration of Pb was detected in MW 01.The total element concentration of the 9 analyzed mangrove swamp water samples was first plotted using log transformation technique to visualize full spectrum of elements.Similar to the analysis of the freshwater samples, to the log transformed data we applied quantile normalization to generate a common unit for all element concentrations, which may be observed in Supplementary Figure S2.
2.3. Multi-Element Determination in Saltwater Samples around Upolu Island, Samoa
The results of multi-element analysis, including the range and mean values of 106 saltwater (SW) samples using a MH-ICP-MS, are summarized in Table 3. Among major and minor elements, chlorine (Cl), sodium (Na), magnesium (Mg), sulphur (S), potassium (K), calcium (Ca), andbromine (Br) were dominant in saltwater samples withthe concentration range (mg/L) of Cl: 9690–26,870; Na: 1754–4853; Mg: 359–2686; S: 289–958; K: 116–636; Ca: 169–532; andBr: 25–74. These seven elements were present in all investigated samples. The highest concentration of chlorine andsodium were obtained in SW 090 and SW 023, respectively. Results showed that SW 038, SW 095, and SW 093 have the highest concentration of Mg, S, and Ca, respectively. The highest contents of K andBr were obtained in SW 009.
Table 3
Elemental composition in 106 saltwater samples from various locations listed below.
Concentration (µg/L)
Concentration (µg/L)
Concentration (µg/L)
Element
Range
Mean
Element
Range
Mean
Element
Range
Mean
Li
53–202
145
Sr
1886–7120
5075
Gd
<LoD
<LoD
Be
<LoD a
<LoD
Y
<LoD
<LoD
Tb
<LoD
<LoD
B
1340–3852
2823
Zr
0.040–0.25
0.13
Dy
<LoD
<LoD
Na
1,753,860–4,852,950
3,817,392
Nb
0.040–0.24
0.18
Ho
<LoD
<LoD
Mg
359,400–2,686,320
1,123,246
Mo
5.2–21
16
Er
<LoD
<LoD
Al
1.2–24
7.5
Ru
0.080–1.0
0.31
Tm
<LoD
<LoD
Si
44–2060
956
Ag
0.040–0.72
0.33
Yb
0.040–0.48
0.19
P
<LoD
<LoD
Pd
0.080–0.80
0.33
Lu
<LoD
<LoD
S
288,820–958,080
680,827
Cd
<LoD
<LoD
Hf
<LoD
<LoD
Cl
9,690,340–26,869,680
20,737,672
In
<LoD
<LoD
Ta
<LoD
<LoD
K
115,960–635,742
351,765
Sn
0.040–0.24
0.11
W
<LoD
<LoD
Ca
168,880–532,520
374,717
Sb
0.040–0.48
0.25
Re
<LoD
<LoD
Fe
<LoD
<LoD
Te
<LoD
<LoD
Os
<LoD
<LoD
Mn
0.10–3.8
1.6
Cs
0.080–0.52
0.31
Ir
<LoD
<LoD
Co
0.050–1.6
0.55
Ba
2.6–6.7
5.1
Pt
<LoD
<LoD
Ni
5.6–19
11
La
<LoD–6.6
<6.6
Au
<LoD–0.20
<0.20
Cu
1.2–12
6.2
Ce
0.12–0.16
0.14
Hg
<LoD
<LoD
Zn
0.60–45
16
Pr
<LoD
<LoD
Tl
0.050–2.4
0.33
Ga
<LoD–109
<109
Nd
<LoD
<LoD
Pb
0.050–5.0
0.98
Br
25,160–74,080
62,331
Sm
<LoD
<LoD
Bi
0.040–0.48
0.21
Rb
43–140
111
Eu
<LoD
<LoD
U
0.32–3.3
2.6
Lithium (Li) was detected in all of the samples withthe concentration range of 53–201.6 µg/L withthe highest concentration was detected in SW 85. Beryllium (Be), phosphorus (P), iron (Fe), yttrium (Y), cadmium (Cd), indium (In), tellurium (Te), osmium (Os), andmercury (Hg) were not detected in any sample.Most of rare earth elements (REEs) were not detected in the saltwater samples. However, lanthanum (La) was detected in SW 012 at the concentration of 6.6 µg/L. Cerium (Ce) was detected in SW 096 and SW 032 at concentration less than 0.20 µg/L. Ytterbium (Yb) was detected in 10 SW samples in the concentration range of 0.040 to 0.48 µg/L.Most of these so-called Mix 2 elements (see Materials and Methods) were either not detected (Hf, Ta, W, Re, and Pt) or were at very low µg/L or at the ng/L range except molybdenum (Mo), which was detected in all of the samples at the concentration range of 5.2 to 21 µg/L. The highest concentrations of Mo were detected in SW 096, SW 055, SW 009, SW 032, and SW 093.The concentration of trace elements of manganese (Mn) andcobalt (Co) were either not detected or were at very low µg/L or at the ng/L range. Nickel (Ni) was detected in all samples at the concentration range of 5.6 to 19 µg/L. Copper (Cu) and zinc (Zn) were detected in most of the samples in the concentration ranges of 1.2–12 and 0.64–46 µg/L, respectively.Gallium (Ga) was detected only in the SW 027 sample withthe concentration of 108.9 µg/L.Rubidium (Rb), strontium (Sr), anduranium (U) were detected in all samples at the concentration range of 43–140, 1886–7120, and 0.32–3.3 µg/L, respectively.Lead (Pb) withthe exception of two samples, was detected in all SW samples at the concentration range of 0.050–5.0 µg/L. The highest concentration of Pb was detected in SW 049 sample.Similar to analysis of the freshwater and mangrove swamp water samples, to the log transformed data we applied quantile normalization to generate a common unit for all element concentrations, which may be visualized in Supplementary Figure S3.Violin plots were used to make further comparisons between freshwater (FW), saltwater (SW) and mangrove swamp (MW) water samples. The general pattern followed that of Cuconcentration depicted in Figure 1A, where a relatively higher concentration of the element was present in SW. However, there were exceptions such as Siconcentration in Figure 1B, where the pattern was the opposite. The ranges of the sampling groups varied significantly depending on the element, as depicted for Cl in 1C andMg in 1D.
Figure 1
Violin plots showing the distribution of elemental data for Copper (A), Silicon (B), Chlorine (C), and Magnesium (D).
2.4. Principal Components Analysis and Elemental Correlation of All Water Samples around Upolu Island, Samoa
Principal components analysis (PCA) was performed on the aggregate of all water samples employed in this study. This method extracts the largest explainable variation in element concentrations into the first “component” (component 1) on the X-axis, andthen the next most amount of explainable variation in component 2 on the Y-axis. This two-dimensional graphical method helps to visualize primary phenomena residing in the data that we want to understand. The two Figures, Figure 2A,B, use the log transformed and quantile normalize data employed in Supplementary Figures S1–S3. Noticeable are several samples that cluster near to the saltwater cluster in Figure 2A (blue dots with dark blue borders). These are mangrove swamp water samples (MW) that share characteristics of saltwater flowing or seeping into the swamps. In Figure 2B elements cluster by water sample types, such as the presence of bromine, sulphur, sodium, andchlorine aroundthe 9:00–10:00 clock position for saltwater, andbarium, calcium, magnesium, andsilicon aroundthe 3:00–4:00 clock position for freshwater. Elements clustering aroundthe 1:00–2:00 clock position is in relatively low concentration in most water samples, appearing in the group of FW samples at the upper right in Figure 2A.
Figure 2
Two-dimensional graphical method of principal components analysis (PCA): employing the log transformed and quantile normalized data used in Figures S1–S3. (A) FW samples are represented by blue dots, saltwater samples are represented by green dots, and mangrove water samples are represented by blue dots with dark blue borders. (B) Elements cluster by water type, as described in the main text.
To complement the principal component analysis, we computed sample pairwise correlations using the elemental data in FW and SW and visually presented the results using clustered correlation matrices andcorrelograms. Figure 3A,B of freshwater samples, show two main clusters (highest-level connector) of elements that are significantly positively correlated. Figure 3C,D of saltwater shows less correlation structure in the seawater elements data with only one smaller cluster of covarying elements (lower-level cluster at bottom right).
Figure 3
Correlation matrices (A and C) and correlograms (B and D) of elemental data for freshwater (FW, A and B) and saltwater (SW, C and D) samples. Correlation values are clustered based on similarity and their correlation coefficient values represented by a color gradient: 1 (red), 0 (white) to −1 (blue).
2.5. Element Concentration Comparisons to Other Studies
The concentrations of cadmium (Cd), Cu, Ni, lead (Pb), and zinc (Zn) in freshwater samples are less than the values reported elsewhere [25].In respect of saltwater samples, we take the view that marine organisms have adapted to “normal” values and ranges in complex oceanic systems, which we provide in Table 4 and Table 5. Apart from those values obtained for academic purposes [26], those values from government environmental andconservation councils should be particularly viewed as appropriate for aquatic life [25]. Results given in Table 4 indicatethat the concentrations of Si andSr in saltwater samples are low in some samples based on the literature reported elsewhere. However, the concentrations of other elements, such as bromine (Br), calcium (Ca), copper (Cu), magnesium (Mg), andnickel (Ni) in SW samples, are higher than typical values in about 16–64% of samples [25,26].
Table 4
Selected element concentrations of freshwater and saltwater samples: a comparison between literature-based values and Upolu Island water sources. U.S. Environmental Protection Agency maximum concentration limits (mg/L) for drinking water are given for FW samples in parentheses [27].
Selected element concentrations of Upolu Island Mangrove Swamps water samples compared with literature-based values.
Element
Values fromLiterature (µg/L)
Concentration (µg/L)
Median
Range
Ba
13.7 [26]
10
4.0–22
Br
67,116 [26]
30,985
64.8–112,023
Ca
412,824 [26]
99,982
7429–339,042
Cu
5 [25]
1.6
0.13–5.5
Mg
1,293,292 [26]
429,281
6315–1,541,911
Ni
15 [25]
5.9
0.13–19
Si
2809 [26]
9490
1522–14,816
Sr
7886 [26]
1872
58–6736
Zn
50 [25]
4.4
0.15–14
Element concentration profiles in mangrove swamp water (MW) samples were similar to saltwater samples as shown in Table 5. Main differences were in silicon (Si) andcalcium (Ca) values, whereby Si is higher andcalcium is lower in concentration than reported literature-based values [26].
2.6. Water Quality Assessments
Table 6 provides a series of conventional water quality assessments—salinity, pH, dissolved O2, oxidation-reduction potential (ORP), andnitratethat complement our ICP-MS-derived element profiles.
Table 6
Water quality parameters measured in freshwater (FW), saltwater (SW), and mangrove swamp water (MW) samples of Upolu Island, Samoa.
FW
SW
MW
Parameters
Mean
Median
Range
Mean
Median
Range
Mean
Median
Range
Salinity (‰)
0.7
1
<1–1
41
37
13–54
9.7
3
1–34
pH
7.5
7.5
6.6–8.3
7.9
7.9
7.8–8.1
7.5
7.5
6.9–7.8
Dissolved O2 (ppm)
92
98
26–130
98
96
84–120
98
99
90–104
ORP a (mV)
152
152
76–191
128
132
88–176
137
145
19–186
Nitrate (mg/L)
0.61
0.08
0.01–21
NA b
NA
NA
4.7
0.12
0.02–21
ORP a: Oxidation-Reduction Potential; NA b: Not analyzed.
The pH values of FW samples were ranging from 6.6 in FW 60 to 8.3 in FW 66. The pH range of mangrove swamp water samples were from 6.9 in FW 06 to 7.8 in FW 26. These values for saltwater samples range from 7.8 in SW 021 to 8.1 in SW 077.
2.6.1. Salinity and pH
The salinity values of all freshwater samples, excluding those at terminal mangrove swamps, were equal to or less than one part per thousand (‰). Mangrove swamp water (MW) samples had salinity values ranging from 1 to 34‰. Among MW samples, the highest values of 34‰, 21‰, and 15‰ were related to the MW 01, MW 02, and FW 13 samples, respectively. Salinity values for the saltwater samples were in the range of 35‰ to 54‰. Among all SW samples, 29 samples had salinity of greater than 40‰.
2.6.2. Dissolved O2, ORP and Nitrate
Dissolved oxygen levels in waters suitable for aerobic life should not fall below 6 mg/L or roughly 80–90% saturation [25]. Our measurements were taken from mid- to late-afternoons, but not over a diurnal cycle. Nevertheless, ranges are generally accordant with excellent oxygenation except for values recorded for the Valima and Vaisigano rivers aroundthe capital city, Apia, which bothbelong to the same river system, and whose values averaged 47%.ORP on which dissolved oxygen levels andpH depend are good, typically ranging between 100 and 200 mV [32]. These values are typical of regions withwaterlogged soils such as those of Samoa [33]. In general, ORP diminishes from turbulent headwaters to the slower flowing lowlands; for three rivers on which 4 measurements were taken, ORP diminished by 29 mV from the headwaters.According to the World Health Organization (WHO) [34], unpolluted natural nitrate levels in surface waters are particularly low, at 0–18 mg/L on average. In the Samoan FW examined, only in the Falefa River estuary on the northeast coast did it reach a high level of 20 mg/L.
3. Discussion
3.1. Findings in Relation to Multi-Element Testing
Among many parameters, elemental composition is critical to the lives of organisms. Coral reefs are distributed around most of the perimeter of Upolu Island, along which three areas have been assigned to marine protected areas (MPA), as detailed in a recent hydrographic risk assessment [35] Such MPA include Palolo Deep MPA, oppositethe estuaries of Vailima, Vaisigano and Fagalii Rivers in north-central Upolu Island, Aleipata MPA that wraps aroundthe eastern tip of Upolu Islandbetween the Tiavea and Lepa Rivers, andthe Safata MPA oppositethe Leafe, Lotofaga, and Tafitoala Rivers in south-central Upolu Island (see Figure 4).
Figure 4
Map of Upolu Island, Samoa, showing saltwater (SW), freshwater (FW), and mangrove swamp water (MW) sampling locations (see color coded key) and river names. River names are color coded according to a ranking of urgency for mitigation given in Supplementary Table S4.
Some toxic heavy metals such as cadmium (Cd) and lead (Pb) are in low concentrations on Upolu Island (Table 4) and are unlikely the cause of harm to the Samoan population or to the environment in general.Several alkaline earthmetals are essential to life, such as strontium [36], yet all of the sample concentrations are below the typical literature-based environmental limits (Table 4). Having said this, though they are very low compared to average SW values, they are needed at extremely low amounts for organisms and are unlikely to bebiolimiting.The median value for another alkaline earthmetal, magnesium (Mg; Figure 5A), is near the typical saltwater literature-based value, but 27% of seawater samples are elevated above normal, some concentrations being double the level of that which is typical in saltwater (Table 4). These high values (yellow intensities inside red circular spots) are unevenly distributed aroundthe island, which indicates possible local toxicity due to industrial and other human activities.
Figure 5
The median value for (A) an alkaline earth metal of magnesium (Mg); (B) copper (Cu); (C) silicon (Si); (D) bromine (Br); (E) an alkaline earth metal of calcium (Ca); and (F) nickel (Ni) in the various water samples of Upolu Island, Samoa. Sampling locations are shown as shades of blue, red, and yellow spots that refer to the relative heat scale at upper right. The 6 km scale is that of Figure 6.
As shown in Figure 5B, copper (Cu) is distributed aroundthe coastline in moderate-to-high concentrations, 67% of the sample values increased above typical with some concentrations double that which is typical in saltwater (yellow intensities inside red circular spots) (cf. Table 3). The median value of zinc is well below usual saltwaterconcentration, all of the samples below typical concentration values in saltwater (Table 3). In the marine environment the major anthropogenic sources of copper, combined with transient decreases in zinc, are antifouling paints used to coat ship hulls, buoys, other underwater surfaces, and from decking, pilings and marine structures in which treated timbers are present [37,38].Siliceous igneous rocks are the primary source of silicon on Upolu Island. Some seawaterconcentrations of silicon (Si; Figure 5C) are below typical concentrations values in saltwater (Table 4). However, the Siconcentrations in mangrove swamps is very high (Table 2), thus this dynamic needs further investigation.The median bromine (Br; Figure 5D) concentration is a little below usual for saltwater, but 36% of the sample values are above usual (yellow intensities inside red circular spots), reaching concentration values as much as ca. 12% above typical in saltwater (Table 4).The median value of calcium (Ca; Figure 5E) is a little below usual in relation to those of saltwater, but 43% of the sample values are above typical (yellow intensities inside red circular spots), reaching concentration values more than 20% above typical concentration values in saltwater (Table 4). Crop farming is a potential anthropogenic source, because calcium is associated with herbicides and pesticides, as is magnesium (Mg); notethe similarity in concentration maps of Mg (Figure 5A) and Ca (Figure 5E).The median concentration of nickel (Ni; Figure 5F) is below usual compared to those of saltwater, but 16% of the samples are above typical, reaching concentration values of more than 20% above concentration values in saltwater (Table 4).To provide circumstantial evidence for the suggestion that some elements are concentrating because of human activities, such as with herbicides and pesticides containing Br, Ca, andMg, we list all rivers for which there are 2–4 samples taken from upstream headwaters to the lowland estuaries, and highlight those that have increasing concentrations along their lengths andthat correspond with locally higher than typical saltwater values in the inner reef areas (Table 7).
Table 7
Selected elements of Upolu Island freshwater river samples. Rivers having both upstream and downstream samples are listed in order of their location beginning from the most northwestern river in a clockwise direction around the island to the most south western location (Figure 4). A red cell indicates that an element has increased in concentration along the length of the river.
Element
Ba
Br
Ca
Cu
Mg
Ni
Si
Sr
Cl
River
North Coast
Fuluasou
Gasegase
Vailima
Vaisigano
Fagalii
Letogo
Laulii
Leuso
Namo
Solo
Eva
Falefa
Taelefaga
Lona
Tiavea
South Coast
Lepa
Mulivaifagatola
Piu
Togitogiga
Tafitoala
Lotofaga
Leafe
Faleaseela
The capital city of Samoa, Apia, and its surrounding suburbs are situated between The Fuluasou and Letogo Rivers, andthere can be seen to be a number of elements increasing in concentration in this highly populated region of the island. The coastline east of Apia is sparsely populated, but is again more densely populated in the region occupied by the Eva and Falefa Rivers, which is also concentrating some elements in the lowlands. The southern coast is speckled with villages, most rivers having some incidences of increasing element concentrations, but particularly among the more densely populated areas aroundthe Lepa River in the southeast andthe Faleaseela River in the southwest.The distribution of rivers in connection with urban and suburban population density variation is connected also to nearby plantations, suggesting that human activities including plant and pest management are related to the increasing concentrations of some elements.Notethat rivers associated with increasing Cl concentrations follow a different distribution pattern than those of the other elements just mentioned, with incidences of increasing Cl concentrations being more evenly distributed aroundthe perimeter of the island (Table 7). This distribution is especially similar to that of two species of introduced myna birds inhabiting the coastal urban areas and plantations on the island. Introduced to Upolu Island, the myna bird is considered a threat to indigenous wildlife including endangered andconserved birds, and is the subject of avid extermination by use of the avicide DRC-1339 (Starlicide) [39,40]. Starlicide is acutely toxic to myna birds, andthough it has other specific avian targets, including gulls, it has a wide toxic net to other families of birds and to some mammals, and is acutely toxic to aquatic invertebrates and some fish [41]. While aquatic environmentaltoxicitytesting has only been performed in freshwater settings, marine invertebrates and fish are also likely susceptible.Except for three REEs of cerium (Ce), lanthanum (La), andgadolinium (Gd), little is known on the health effects of these elements [42]. The concentration of 10 REEs of La, Ce, neodymium (Nd), samarium (Sm), europium (Eu), Gd, dysprosium (Dy), erbium (Er), ytterbium (Yb), and lutetium (Lu) have been measured in 31 samples from 15 rivers (water samples were collected during a series of transects along the Connecticut, Delaware, Mullica (USA), Amazon, and Tamar (UK) river estuaries) [43]. The concentrations of these 10 elements in two freshwater samples, FW 55 and FW 56 in downstream waters of the Tiavea River, were generally within the range but at the highest levels reported in that study [43].We notethat correlations of element concentration values are clustered (Figure 3). Among the FW samples, elements described in this study as potentially arising in concentrations due to human activity—Ba, Br, Ca, Cu, Mg, Ni, Si, Sr, and Cl—cluster together and are positively correlated. This pattern is only partially borne out in the SW samples in which Br, Ca, Ni, and Cl are clustered and positively correlated, while Sr is correlated to a lesser degree to this group of elements in a connected supercluster.The small clusters from boththe freshwater and saltwater samples in Figure 3 contain a number of positively correlated elements that may be naturally occurring ionic compounds, such as lithium bromate/bromide, lithium chlorite/chlorate, potassium bromate, rubidium bromate/bromiderubidium chloride, andstrontium chloride.This is the first time such statistical analyses as these have been performed on such a comprehensive number of inorganic elements from environmental samples, andthus this it is at best a first pass at interpreting and understanding the results.
3.2. Salinity and pH
Salinity in ocean water derives mainly from sodium chloride and is measured in parts per thousand (‰). Salinity of South Pacific water is in equilibrium at around 35–36‰ [44]. During a recent survey of salinity around American Samoa at an average depth of 11.45 m, the median salinity was 34.63‰ with a range of only 1.39‰ [45]. Around Upolu Island, ca. 30% of all saltwater samples are well above the South Pacific norm, in the range of 52–54‰ (Figure 4). A total of 15 water samples was collected at three different sites of the Vaisigano river in Samoa andthe pH range of 8.2–8.5 was reported [17]. The pH range of our investigated various water samples show relatively lower pH.
3.3. Dissolved O2, ORP, and Nitrate
Generally good dissolved O2 levels andORP values, together with low nitrate levels indicates that Upolu is not causing eutrophication of the surrounding sea (i.e., excessive nutrients that drive the growth of phytoplankton and other algae and reductions of dissolved oxygen), which would otherwise pose a threat to aquatic life.
3.4. Findings in Relation to Human Health and the Environment
A 1994 survey of South Western Pacific waters cited overfishing, pollution, eutrophication, and erosion leading to sedimentation as a major threat to lagoons andcoral reefs [15]. A more recent report on the status of the coral reefs around Upolu Island speculatethat a series of tropical cyclones andthe 2009 tsunami have exacerbated these conditions leading to substantial coral reef decline [16]. Missing from these studies, however, is a comprehensive discovery-based system for identifying the fine-grained detail laying at the foundation of threats to the coral reefs. Because coral reefs are a vital hub in the global interdependent network of ecosystems, perturbations to this network should be visible in all areas of the ecosystem such as may be expressed on nearby terrestrial environments in relation to human health issues.The incidence of obesity in the island state of Samoa is among the highest in the world [46], which includes all of the well-recognized concomitant complications of the condition. Locally high levels of magnesium (Figure 5A), bromine (Figure 5D), andcalcium (Figure 5E) are putatively connected to the widespread use of 71 herbicide and pesticide chemicals on Upolu Island, which have endocrine effects suggested to becontributing to endemic obesity [47]. For instance, the nonuniformity of bromine suggests that it may be supplemented by water and waste treatment, as a fungicide, and as an agricultural pesticide against snails [48]. The primary means of exposure to herbicides and pesticides is by dermal exposure [49], and airborne incidences and exposure while swimming andbathing in contaminated waters are likely responsible.Olivinebasalts dominatethe lithology of South Pacific islands such as Upolu Island [50]. The chemistry of olivine is (Mg,Fe)2SiO4, thus magnesium levels reported in this study could derive from the local rock. Indeed, magnesium is reported to be high in soils of Taro farms on the Island [51]. However, Taro farms are susceptible to numerous pests and pesticide control measures [52], leaving open the sourcing of the element. Iron levels from the freshwater sources examined should similarly be elevated because of olivine chemistry, but it was typically so low as to be not detected.The herbicides and pesticides that include magnesium, calcium, andchlorine are highly toxic to aquatic life. Thus, there is an intimateconnection between their role in the environment on bothhuman and aquatic health. This is a major justification for the employ of the comprehensive discovery-based system employed in this study on Upolu Island. Magnesium, copper, calcium, andnickel are ubiquitously or locally high around Upolu Island. These increases in concentrations of accumulated heavy metals—even those essential to life—are associated withcoral reef decline [53]. In a further example of the relationship between assessments of the environment andhuman health, we notethat Ni andthe Cl-containing avicide, are associated withcontact dermatitis in humans [54], which may increase the potential for additional vulnerabilities and exacerbation of insults through the skin. These associations between metalenvironmentalcontamination andhuman and aquatic health require study, analysis, andconfirmation on Upolu Island.Among the elements essential to life, silicon andstrontium are of particular interest [19,55]. Silicon is essential for growth of unicellular algae (diatoms) that support marine food webs in coastal areas and islands and for the construction of stony corals, however the input from freshwater sources appears to becontrolled to some extent at mangrove swamps, rendering an insufficiency in places and potentially limiting the growth of coral reefs. The contrast between high freshwater sources and low seawaterconcentrations in some samples may also suggests that excess inputs due to farming activities and/or climate effects may be dumping silica from the rivers into the sea [56,57], which falls from surface waters to the sea floor and obscuring the coral reef surface, thus decreasing the coral reefs’ ability to thrive. The fate of river-born silicon upon entering Upolu Island lagoons, requires further study.Strontium is essential for the growth andconstruction of stony corals [36], yet the concentrations are very low around Upolu Island. There is presently no explanation for how strontium can be sequestered to such levels.The salinity (Figure 6) of about one third of all saltwater samples is higher than typical for coral organisms whose salinities range from 32 to 42 parts per thousand [58]. Some corals are specifically adapted to very saline +50% conditions, such as those of the Red Sea, and it is suggested that their tolerance of such high values may be higher than corals in other oceans [59]. We are concerned that the high levels observed in some locations may then be lethal to coral organisms of Upolu Island. Values should be checked against historical records.
Figure 6
The salinity values of saltwater samples around Upolu Island, Samoa. Sampling locations are shown as shades of blue, red, and yellow spots that refer to the relative heat scale at upper right.
Finally, a feature of some element concentration maps is the increase in river elemental concentrations from the interior of Upolu Island to the coastal regions (Table 7). This is an indication of cumulative increases due to human activities whose related chemicals are as likely to be harmful to humans as they are to aquatic life.To address factors deleterious to human, economic and recreational activities andcoral reef health, the Government of Samoa may consider the following recommendations:Mitigating environmental harm caused by use of herbicide and pesticide chemicals through alternative pest management, such as biological control alternatives and hunting incentives. A chemical survey of Upolu Island is required to confirm the source of some elements to the local lithology and/or chemical use;Conducting specific investigations into strontium, andsilicone deficiencies. Historically this may be investigated by sampling coral skeletons retrieved at known dates in the past;Investigating causes of salinity variability of the inner reef and reef zone. Multivariate analyses of historical weather and ocean data with present day sampling through seasons is warranted;Future studies need to be performed drawing on the results of this research to see if there are medical cluster effects that correlate to water quality as revealed in Figure 4.To assist with establishing mitigation priorities, we generated a table of relative urgency (Supplementary Table S4). Based on freshwater and saltwater element concentrations, which putatively relate to harmful chemicals, and on elevated salinity levels reported in this study, we subjectively ranked the urgency for mitigation and accordingly color coded the river names in Figure 4.
4. Materials and Methods
4.1. Study Area and Sampling
Sampling of the freshwater and saltwater resources of Upolu Island took place through December 1–15, 2019. Five field teams were composed of personnel of the Samoan Ministry of Natural Resources and Environment andthe Faculty of Science, National University of Samoa. “Land” teams of 4 people were dispatched to each of northern, eastern, southern, and western portions of the Upolu Island. A “Boat” team consisting of two divers and a drone operator circumnavigated the island, docking locally at the end of each day, being picked up to return home, and driving to the last destination each morning to begin sampling along the next coastal segment. 50 mL sampling tubes were used to acquire all water samples from the surface of each of a river’s headwater and its mouth and location(s) in between, from lakes, and from the inner reef, reef, and outer reef locations that included depths to 30 m that capture water in contact with shallow watercoral reefs.A total of 67 freshwater, 106 saltwater, and 9 mangrove swamp water samples (6 of these samples were marginal to freshwater samples and labeled as such for some analyses) were collected. Freshwater samples were collected from 24 rivers, 2 volcanic lakes, and 1 dam, saltwater samples were collected from 45 inner reef, reef, and outer reef locations around Upolu Island, including each river estuary, andcollected from 3 mangrove swamp locations as shown in Figure 4.All samples were stored in a refrigerator at about 4 °C prior to analysis.
4.2. Materials
Suprapur® 65% HNO3 (analytical-reagent grade, Merck, Darmstadt, Germany), de-ionized ultrapure water (18.2 MΩ cm) (ELGA, Purelab®Ultrapure Water Purification Systems, Lane End, Buckinghamshire, UK), and National Institute of Standards andTechnology (NIST) standard reference material® (SRM)1640a (trace elements in natural water, NIST, Gaithersburg, MD, USA) were used in this study. All water samples were collected into 50 mL HDPE conical centrifuge tubes previously cleaned with 2% (v/v) Suprapur® 65% HNO3 to eliminate trace contaminants that would otherwise contribute to the element composition.Following single and multi-element standards were used to prepare calibration standard solutions containing four internal standards of 6Li (enriched lithium), Ge, Rh, andTh.Single element standards: twelve single element standards of Cl, Os, K, Si, S, P, Na, Mg, Ca, Ti, Br, Hg, 6Li, Ge, Rh, andTh all purchased from Inorganic Ventures (Christiansburg, VA, USA) at the concentration of 100 or 1000 µg/mL were used to prepare single element, multi-element calibration standards, andthe mix of internal standards.Multi-element standards: four multi-element standards of (i) Merck VI (Certipur® Certified Reference Material ICP multi-element standard VI: Merck KGaA, Darmstadt, Germany) contains 30 elements of Al, As, Ba, Be, Bi, B, Cd, Ca, Cr, Co, Cu, Ga, Fe, Pb, Li, Mg, Mn, Mo, Ni, K, Rb, Se, Ag, Na, Sr, Te, Tl, U, V, andZn at different concentrations ranged from 10 to 1000 mg/L; (ii) Mix 1 (Trace cert® Sigma-Aldrich Production GmbH, Buchs, Switzerland) contains 33 elements similar to Merck VI solution excluding Mo and U but instead has additional five elements of Cs, In, P, Si, and S at the concentration of about 10 mg/L; (iii) Mix 2 (Trace cert® Sigma-Aldrich Production GmbH, Buchs, Switzerland) contains 17 elements of Sb, Ge, Au, Hf, Ir, Mo, Nb, Pd, Pt, Re, Rh, Ru, Ta, Sn, Ti, W, and Zr at the concentration of 10.01 mg/L; and iv) Mix 3 (Trace cert® Sigma-Aldrich Production GmbH, Buchs, Switzerland) contains 16 rare earth elements (REEs) of Ce, Dy, Er, Eu, Gd, Ho, La, Lu, Nd, Pr, Sm, Sc, Tb, Tm, Yb, and Y at the concentration of about 10 mg/L, all known as certified reference materials (CRMs), were used to prepare multi elements calibration standards.
4.3. Instrumentation
Total element concentrations of various water samples were measured using Mattauch–Herzog-inductively coupled plasma-mass spectrometry (MH-ICP-MS) SPECTRO MS (SPECTRO Analytical Instruments GmbH, Kleve, Germany) based on our published method with further modifications [12]. Most of freshwater samples with salinity of ≤1 part per thousand (‰) were undiluted introduced to the nebulizer of MH-ICP-MS by a Teledyne autosampler (Model ASX-560, Teledyne CETAC Technologies, Omaha, NE, USA) while the saltwater samples were diluted by a factor of 40–50 based on their high salinity. Salinity measurements were carried out using a digital seawater refractometer (Milwaukee, MA887, Romania). All calibration standards and samples contain 2% (v/v) Suprapur® 65% HNO3 and internal standards of 6Li, Ge, Rh, andTh at the concentration of 100, 50, 20, and 20 µg/L, respectively. In order to take the variability of the ICP-MS conditions into account while performing the water measurements, these four internal standards were used for various mass ranges. Isotopes of 6Li, 72Ge, 103Rh, and 232Th were selected and used for 7Li–44Ca, 45Sc–89Y, 90Zr–159Tb, and 163Dy–238U mass ranges, respectively. Limit of detection, correlation coefficient of calibration plots for each element, and selected isotopes for the determination of elemental concentration in various water samples of Upolu Island, Samoa are summarized in Supplementary Table S5. MH-ICP-MS was optimized and tuned each time for its performance within the entire breadth of the chemical periodic table, i.e., from Li to U using 20 µg/L of Merck VI multi-element standard solution to achieve maximum sensitivity. To check the repeatability of analyses, various single and multi-element standard solutions and NIST SRM-1640a Trace Elements in Natural Water (see Supplementary Table S6) as well were used in the beginning and after every five samples in each set of samples run. To promotecomparative measurements, samples were left to settle for one week prior to ICP-MS measurements andthe autosampler probe adjusted to draw from above the 1 mL mark on the 15 mL tube.The physical parameters were determined using a handheld YSI ProDSS Multimeter (YSI Inc., USA) with attachments capable of measuring, dissolved oxygen (DO, polarographic sensor, accuracy: ±1%), oxidation-reduction potential (ORP, platinum button sensor, accuracy: ±20 mV) andnitrate (NO3−, ion selective electrode, accuracy: ±2 mg/L). Data were acquired in freshwater and mangrove swamp water for DO, ORP, and NO3− and in saltwater samples for salinity, DO, andORP.Some operation conditions of MH-ICP-MS is summarized in Table 8.
Table 8
Operation conditions of MH-ICP-MS.
Masses
From 6 (Li) to 238 (U) covering 69 elements
Integration Parameters
Total time: 20.0 s; Base interval: 10 ms; Mode: Threshold
RF Power
1465 W
Sampler and Skimmer cones
Ni (ICPMS Cones Limited, Tarvin Nr. Chester, Cheshire, UK)
Spray Chamber
Cyclonic (Spectro/AMETEK, Mahwah, NJ, USA)
Torch Position (X:Y:Z)
(−2.2 mm: (2.0 mm:0.2 mm)
Plasma Argon Flow Rate
12.0 L·min−1
Auxiliary Argon Flow Rate
2.40 L·min−1
Nebulizer Argon Flow Rate
0.91–0.93 L·min−1
Nebulizer
SeaSpray (Glass Expansion, Pocasset, MA, USA)
4.4. Plots and Statistical Analysis
The raw data files were cleaned andconcentration values for elements that were detected in none (Sc, Ti, V, Cr, As, Se) or in only a few (Be, P, Lu, Os, Au, Hg) samples were filtered out. Undetected reads were imputed values of 0 andthe data was log transformed. The SAS/JMP software (SAS Institute) was used to quantile normalize the data by sample, to generatethe heat maps (see Supplementary Figures S2 and S3), and to carry out the principal component analysis (Figure 2). Quantile normalization is based on density-adjusted rank ordering and makes distributions identical in statistical properties [60]. The method equilibrates all ranks by assigning each measure or data point the arithmetical mean value across water samples for each rank (i.e., the highest value in all water samples becomes the mean of the highest values, the second highest value becomes the mean of the second highest values, and so on).Plots for Figure 4, Figure 5 and Figure 6 were created using the ArcGIS online platform. The hydrology layer, which depicts the rivers of Samoa was provided by the Samoan ministry in the form of a zipped file containing dBASE, ProJect, Quantum GIS, SHX and shapefile components. These files were converted using ArcGIS Desktop for online use. Raw elemental reads were uploaded for use and samples SW105_75435, SW106_76685, SW103_73578, SW104_73752 were removed as they did not contain GPS data. The smart mapping function was used to create heat maps for the individual elements, weighting the data to calculate a depiction of density along a dark blue to yellow color gradient. The area of influence was set to 25% to enable the optimum visualization of the sampling sites, especially those in closer geographical proximity, andthe transparency parameter was set to 0% to maximize contrast against the basemap.
5. Conclusions
A comprehensive study was performed in the mangrove swamp, freshwater, and saltwaterenvironmental resources of Upolu Island, Samoa to analyze up to 69 elements in each sample simultaneously in a single run using Mattauch–Herzog-inductively coupled plasma mass spectrometer (MH-ICP-MS).In our study of the biosecurity of Upolu Island freshwater and saltwaterenvironmental resources we have identified several environmental challenges that individually or, more likely, cumulatively, may explain problems that require mitigation. The contributions of metals to the coastline of Upolu Island require attention. Copper from antifouling paints, an apparently ubiquitous feature of marine infrastructure, should be carefully considered by local authorities. Identification of specific sources of metalcontamination andtheir reduction using new or improved technologies and manufacturing processes are needed.Strontium is essential to the lives of corals and in surprisingly low concentrations around Upolu Island. These insufficiencies require investigation. Historically, this may be investigated by sampling coral skeletons retrieved at known dates in the past.Herbicide and pesticide chemical use on Upolu Island is widespread andmagnesium, bromine, andcalcium are the likely signatures. These chemicals have endocrine effects that may contribute to endemic obesity andthey are also highly toxic to aquatic life. Mitigation efforts may include alternative pest management, such as biological controls.Salinity of coastal waters should be investigated. If increased salinity is found to be recent, it may be due to climate induced decreased freshwater flow into the sea and/or evaporation from relatively sequestered landward sides of coral reefs. Causes of salinity variability of the inner reef and reef zone require investigation, and multivariate analyses of historical weather and ocean data with present day sampling through seasons is warranted.Our comprehensive discovery-based system has revealed several potential issues that may relate to observed coral reef decline. These include putative element abundances due to chemical toxicities, which is the focus of this communication, in addition to microbial diversity andthe distribution of microplastics in the environment that individually, or more likely cumulatively, have caused the deterioration of Upolu’s coral reefs.
Authors: Marie Ng; Tom Fleming; Margaret Robinson; Blake Thomson; Nicholas Graetz; Christopher Margono; Erin C Mullany; Stan Biryukov; Cristiana Abbafati; Semaw Ferede Abera; Jerry P Abraham; Niveen M E Abu-Rmeileh; Tom Achoki; Fadia S AlBuhairan; Zewdie A Alemu; Rafael Alfonso; Mohammed K Ali; Raghib Ali; Nelson Alvis Guzman; Walid Ammar; Palwasha Anwari; Amitava Banerjee; Simon Barquera; Sanjay Basu; Derrick A Bennett; Zulfiqar Bhutta; Jed Blore; Norberto Cabral; Ismael Campos Nonato; Jung-Chen Chang; Rajiv Chowdhury; Karen J Courville; Michael H Criqui; David K Cundiff; Kaustubh C Dabhadkar; Lalit Dandona; Adrian Davis; Anand Dayama; Samath D Dharmaratne; Eric L Ding; Adnan M Durrani; Alireza Esteghamati; Farshad Farzadfar; Derek F J Fay; Valery L Feigin; Abraham Flaxman; Mohammad H Forouzanfar; Atsushi Goto; Mark A Green; Rajeev Gupta; Nima Hafezi-Nejad; Graeme J Hankey; Heather C Harewood; Rasmus Havmoeller; Simon Hay; Lucia Hernandez; Abdullatif Husseini; Bulat T Idrisov; Nayu Ikeda; Farhad Islami; Eiman Jahangir; Simerjot K Jassal; Sun Ha Jee; Mona Jeffreys; Jost B Jonas; Edmond K Kabagambe; Shams Eldin Ali Hassan Khalifa; Andre Pascal Kengne; Yousef Saleh Khader; Young-Ho Khang; Daniel Kim; Ruth W Kimokoti; Jonas M Kinge; Yoshihiro Kokubo; Soewarta Kosen; Gene Kwan; Taavi Lai; Mall Leinsalu; Yichong Li; Xiaofeng Liang; Shiwei Liu; Giancarlo Logroscino; Paulo A Lotufo; Yuan Lu; Jixiang Ma; Nana Kwaku Mainoo; George A Mensah; Tony R Merriman; Ali H Mokdad; Joanna Moschandreas; Mohsen Naghavi; Aliya Naheed; Devina Nand; K M Venkat Narayan; Erica Leigh Nelson; Marian L Neuhouser; Muhammad Imran Nisar; Takayoshi Ohkubo; Samuel O Oti; Andrea Pedroza; Dorairaj Prabhakaran; Nobhojit Roy; Uchechukwu Sampson; Hyeyoung Seo; Sadaf G Sepanlou; Kenji Shibuya; Rahman Shiri; Ivy Shiue; Gitanjali M Singh; Jasvinder A Singh; Vegard Skirbekk; Nicolas J C Stapelberg; Lela Sturua; Bryan L Sykes; Martin Tobias; Bach X Tran; Leonardo Trasande; Hideaki Toyoshima; Steven van de Vijver; Tommi J Vasankari; J Lennert Veerman; Gustavo Velasquez-Melendez; Vasiliy Victorovich Vlassov; Stein Emil Vollset; Theo Vos; Claire Wang; XiaoRong Wang; Elisabete Weiderpass; Andrea Werdecker; Jonathan L Wright; Y Claire Yang; Hiroshi Yatsuya; Jihyun Yoon; Seok-Jun Yoon; Yong Zhao; Maigeng Zhou; Shankuan Zhu; Alan D Lopez; Christopher J L Murray; Emmanuela Gakidou Journal: Lancet Date: 2014-05-29 Impact factor: 79.321