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Soil-Geochemical Factors controlling the Distribution and OralBioaccessibility of Nickel, Vanadium and Chromium in NorthernIreland SoilsPalmer, S., Cox, S., McKinley, J., & Ofterdinger, U. (2014). Soil-Geochemical Factors controlling the Distributionand Oral Bioaccessibility of Nickel, Vanadium and Chromium in Northern Ireland Soils. Applied Geochemistry,51, 255–267. https://doi.org/10.1016/j.apgeochem.2014.10.010
Published in:Applied Geochemistry
Document Version:Peer reviewed version
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Download date:19. May. 2020
Accepted Manuscript
Soil-geochemical factors controlling the distribution and oral bioaccessibility
of nickel, vanadium and chromium in soil
Sherry Palmer, Siobhan F. Cox, Jennifer M. McKinley, Ulrich Ofterdinger
PII: S0883-2927(14)00242-X
DOI: http://dx.doi.org/10.1016/j.apgeochem.2014.10.010
Reference: AG 3344
To appear in: Applied Geochemistry
Please cite this article as: Palmer, S., Cox, S.F., McKinley, J.M., Ofterdinger, U., Soil-geochemical factors
controlling the distribution and oral bioaccessibility of nickel, vanadium and chromium in soil, Applied
Geochemistry (2014), doi: http://dx.doi.org/10.1016/j.apgeochem.2014.10.010
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers
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��
SOIL-GEOCHEMICAL FACTORS CONTROLLING THE DISTRIBUTION AND ORAL BIOACCESSIBILITY OF NICKEL, VANADIUM AND CHROMIUM IN SOIL Sherry Palmer*,a, Siobhan F. Coxa, Jennifer M. McKinleyb and Ulrich Ofterdingera
aSchool of Planning, Architecture and Civil Engineering; Queen’s University Belfast, BT9 5AG, UK bSchool of Geography, Archaeology and Palaeoecology; Queen’s University Belfast, BT7 1NN, UK *Corresponding author; [email protected], Tel. +44 (028) 9097 5606, Fax +44 (028) 9097 4278 Additional e-mail addresses; [email protected], [email protected], [email protected]
Abstract: Geogenic nickel (Ni), vanadium (V) and chromium (Cr) are present at elevated levels in soils in Northern Ireland. Whilst Ni, V and Cr total soil concentrations share common geological origins, their respective levels of oral bioaccessibility are influenced by different soil-geochemical factors. Oral bioaccessibility extractions were carried out on 145 soil samples overlying 9 different bedrock types to measure the bioaccessible portions of Ni, V and Cr. Principal component analysis identified two components (PC1 and PC2) accounting for 69% of variance across 13 variables from the Northern Ireland Tellus Survey geochemical data. PC1 was associated with underlying basalt bedrock, higher bioaccessible Cr concentrations and lower Ni bioaccessibility. PC2 was associated with regional variance in soil chemistry and hosted factors accounting for higher Ni and V bioaccessibility. Eight per cent of total V was solubilised by gastric extraction on average across the study area. High median proportions of bioaccessible Ni were observed in soils overlying sedimentary rock types. Whilst Cr bioaccessible fractions were low (max = 5.4%), the highest measured bioaccessible Cr concentration reached 10.0 mg kg-1, explained by factors linked to PC1 including high total Cr concentrations in soils overlying basalt bedrock. �
Keywords: trace elements, bioaccessibility, geochemistry, factor analysis, human health risk assessment
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1.0 Introduction
In Northern Ireland, nickel (Ni), vanadium (V) and chromium (Cr) are present in soils at high total
concentrations, in some cases exceeding available statutory soil guideline values (SGVs) or generic
assessment criteria (Environment Agency, 2009; Nathaniel et al., 2009). SGVs are intended for use as
screening values; significant harm may not necessarily be present when a contaminant exceeds its SGV,
but regulators may wish to seek additional evidence to determine if there is a high probability of
significant harm to receptors from soil contaminant exposure under such circumstances (DEFRA,
2012).
Refining the human health risk assessment process with respect to oral exposure to soil borne
contaminants plays an important role in sustainable development approaches. Informed land
management practices and accurate risk communication can save local councils, land owners, and
developers millions of pounds in remediation costs, in turn preserving natural soil resources (NERC,
2012). Soil bioaccessibility testing can be applied to complement a lines-of-evidence approach when
assessing health risks from oral soil contaminant exposure (CIEH, 2009; DEFRA, 2012). In terms of
risk estimation, in vitro oral bioaccessibility testing reduces reliance on total contaminant concentrations
in soil, an approach which commonly will overestimate health risks due to the well-accepted concept
that 100% of soil contamination is rarely bioavailable to receptors when ingested (Ruby et al., 1999;
CIEH, 2009). Compared to in vivo animal bioavailability studies, in vitro testing is also less costly and
can be completed in a shorter time frame while avoiding the ethical concerns of using live animals in
research.
Over the past two decades, a considerable amount of effort has been invested across the scientific
community in developing and validating a suitable standardised extraction method for estimating human
oral contaminant bioaccessibility in vitro (Ruby et al., 1996; Ruby et al., 1999; Oomen et al., 2003;
Wragg and Cave, 2003; Van de Weile et al., 2007; Wragg et al., 2009; NERC, 2012). The Unified
BARGE (Bioaccessibility Research Group of Europe) Method (UBM) is a standardised physiologically
based extraction technique which has been subjected to comprehensive inter-laboratory trials and
validated for arsenic (As), lead (Pb) and cadmium (Cd) using in vivo swine data (Caboche, 2009; Wragg
et al., 2011; Denys et al., 2012).
Previous trace element bioaccessibility research in Northern Ireland has shown that oral bioaccessibility
is not primarily a function of total trace element concentrations in soil (Barsby et al, 2012; Palmer et al.,
2013; Cox et al., 2013), diminishing the suitability of reliance on total soil contaminant concentrations
as a driver for contaminated land management decisions. Following from these findings, specific
geochemical factors accounting for the variability in trace element bioaccessibility across the country
��
require further investigation. Correlation studies exploring relationships between trace element
bioaccessibility and other geochemical variables found statistically significant relationships which
varied across different underlying bedrock types (Palmer et al., 2013; Cox et al. 2013). For example,
sulphur measured as sulphur trioxide (SO3) and loss on ignition (LOI) data showed strong positive
associations with Ni and V bioaccessibility throughout Northern Ireland, whilst calcium appeared to
exert either positive or negative influences over bioaccessibility depending upon the underlying bedrock
type (Palmer et al., 2013).
Although several statistically significant intrinsic correlations between trace element bioaccessibility
and a number of other geochemical variables have been previously confirmed, specific soil-geochemical
associations are difficult to identify from correlation analysis alone. This paper therefore aims to more
explicitly identify such soil-geochemical associations on a regional scale through a combined analysis
approach. Exploratory data analysis (EDA), factor analysis and geostatistics were used to validate and
identify common sources of variability across two data sets (Gooaverts, 1992; Abollino et al., 2011;
Candeias et al., 2011; Giacomino et al., 2011), supporting the research aim of identifying geochemical
factors that account for variability in the distribution and bioaccessibility of Ni, V and Cr in soils across
Northern Ireland. Critically, such findings have applications beyond the study area as the diverse
geology encountered in Northern Ireland extends stratigraphically beyond the immediate region.
2.0 Methodology
2.1 Study Area and Sample Selection
Northern Ireland hosts a wide variety of rock types relative to its small land area of just over 13,800 km2
with most geologic time periods represented by the study area’s diverse lithology (Fig. 1; Wilson, 1972;
Jordan et al., 2007). Bioaccessibility research in this study area therefore provides the opportunity to
increase the global understanding of the relationships between geochemistry and human health within
both the scientific and regulatory communities.
The range of rock types represents three basement terranes: the Grampian, the Midland Valley, and the
Southern Uplands-Down-Longford Terranes. As described in Mitchell (2004), the Grampian Terrane
and associated rocks in the northwest represent the oldest rocks in the country, with their metamorphic
igneous and sedimentary origins spanning the Proterozoic Era. Psammites and semi-pelites are the
dominant rock type, with sandstone and conglomerate also present in this area. Following from the
Proterozoic through to the Devonian, the Midland Valley Terrane hosts Palaeozoic igneous formations
and Late Devonian-Early Carboniferous sedimentary rocks. Red sandstones, limestone and mudstones
comprise the majority of rock types with a minor conglomerate component. Finally, granitic igneous
intrusives and marine sedimentary rocks representing the Lower Palaeozoic Ordovician and Silurian
��
systems are found in the Southern Uplands-Down-Longford Terrane in the southwest. Lithic arenites
and sandstones comprise the majority of bedrock in this part of the country. Portions of the Midland
Valley and Grampian basement rocks in the northeast are covered by a large plateau of igneous
Palaeogene basalts and lava-derived sedimentary clays originating from within the Permian to
Cretaceous systems to a depth of up to 800 meters. Outside of this area, much of the basement rocks in
Northern Ireland remain exposed. In contrast to the diverse range of underlying rock types, superficial
deposits are dominated by glacial till, sand and gravel, and peat, and topsoil pH falls within a relatively
narrow acidic range.
Eleven generic bedrock types as defined by the Geological Survey of Northern Ireland (GSNI; Smyth,
2007) are illustrated in Fig. 1. Geochemical and bioaccessibility data were separated into these groups
prior to EDA with the aim of identifying potential differences in soil geochemistry and trace element
bioaccessibility across different underlying bedrock types. Using generic bedrock types ensures that
sample sizes remain sufficiently robust during analysis and EDA, as defining discrete minor geologic
formations present in Northern Ireland would reduce sample sizes to a prohibitively narrow range of
statistical significance. Such an approach also reduces variance and increases normality in the
distribution of geochemistry data (Jordan et al., 2007; Zhang et al., 2007; Palmer et al., 2013).
Geochemistry data from the Northern Ireland Tellus Survey were provided by the GSNI. In excess of
6800 shallow profile soil samples from 5 – 20 cm depth were gathered during the Tellus Survey and
analysed by X-ray fluorescence spectrometry (XRFS) for major oxides and trace elements. The
complete Tellus Survey field methods and analytical methodology are described in Smyth (2007).
Shallow soil samples from the Northern Ireland Tellus Survey soil archive were used for
bioaccessibility testing and were selected to represent the diversity of rock and soil types across the
study area.
2.2 Bioaccessibility Testing
The UBM is an in vitro extraction procedure for solid matrices designed to mimic the conditions of the
human digestive system. The method incorporates saliva, gastric, and intestinal phases of digestion at a
controlled temperature of 37◦ C. The full methodology is downloadable through the British Geological
Survey (BGS) website (BARGE/INERIS, 2011).
Soil sub-sampling, solution preparation, UBM extractions and inductively coupled plasma mass
spectrometry (ICP-MS) analyses were conducted in the Analytical Geochemistry Facility at BGS,
Kingsley Dunham Centre, Keyworth, Nottingham during 2009 (Barsby et al., 2012) and 2013.
Archived Northern Ireland Tellus soils from the < 2mm fraction were sub-sampled by coning and
��
quartering to ensure representative samples were obtained prior to extraction. The 2009 and 2013
bioaccessibility data sets were joined to ensure the diverse range of rock types present within the study
area was adequately represented.
Fresh digestion fluids were prepared daily and one day prior to use to allow enzymes and pH to
stabilise. Inorganic and organic solutions for each fluid were prepared in separate 500 ml glass
volumetric flasks prior to combining in two litre non-reactive screw top Nalgene bottles to create one
litre of digestive fluid. Additional solid reagents were weighed directly into the Nalgene bottles prior to
adding the inorganic and organic solutions. Digestive fluids were immersed in the same warm water
bath used for the extractions at 37◦C for a least one hour prior to commencing extractions. The pH of
each solution was checked and adjusted to the specifications outlined in Table 1 using either 37% HCl
or 1M NaOH.
2.2.1 Extract Analysis and Quality Control
The UBM has been validated for As, Pb and Cd through in vivo studies (Caboche, 2009; Denys et al.,
2012). It should be noted that, whilst the three trace elements presented in this paper have not been
subjected to in vivo validation under the UBM, data for all trace elements of interest were subjected to
rigorous quality control (QC) and quality assurance (QA) procedures as described below.
Extract analysis was carried out using an Agilent 7500cx series ICP-MS employing an octopole reaction
system in combination with a CETAC autosampler. Sample introduction from the autosampler to the
ICP is coupled to a CETAC flow injection valve. The instrument was calibrated at the beginning of
every analytical run using a minimum of three standards and a blank for each trace element. Multi-
element QC check standards containing the trace elements of interest at 25 μg/L were analysed at the
start and end of each run and after a minimum of every 25 samples.
Accuracy and precision of UMB extract analysis is monitored at BGS by the on-going collation of
BGS102 reference material data (Wragg, 2009). UBM results from ICP analysis were provided in μg/L
with a dilution factor of 100 applied. Data were back calculated to mg kg-1 of soil using Equation A,
taking into account recorded soil sub-sample weights and total fluid volumes inclusive of HCl or NaOH
additions used for pH adjustments.
� ��� ��� � ��� ��⁄ ⁄ �
�
�
� � 1000
(Equation A);
��
where C = analyte concentration in units specified, V = total extraction fluid volume (mL) and W = total
soil weight (g). Soils were pre-dried according to the Tellus methodology (Smyth, 2007); 100% solids
were therefore assumed for calculating final concentrations.
For every seven unknown soil samples, one extraction blank, one duplicate soil and one BGS102
certified reference soil were included in the extraction procedure. Measured values for bioaccessible As
and Pb were within one standard deviation of the certified reference value provided for BGS102.
Overall mean gastric relative per cent difference for the analytes of interest was 11%. Values measured
in blanks above daily detection limits were subtracted from measured sample values for each respective
batch. Measured sample values below daily detection limits were reported as half the daily detection
limit.
2.3 Geochemistry and UBM Data Analysis
Analysis of geochemistry and trace element bioaccessibility data relied upon a combined approach
where intrinsic statistical relationships among variables were evaluated in the context of corresponding
spatial outputs. Multivariate dimension reduction in the form of PCA was applied to link variables to a
narrower range of soil-geochemical components such as specific soil or bedrock types. Conclusions
were subsequently drawn about specific soil-geochemical influences causing variability in the
geographical distribution and bioaccessibility of Ni, V and Cr.
Summary statistics were generated for XRFS geochemistry data in Microsoft (MS) Excel 2010 and IBM
SPSS v.19.0. Boxplot figures were completed in R (R Core Team, 2013). PCA was conducted in R
using the vegan package (Oksanen et al., 2013) and eigenvalue loading plots with eigenvectors were
manually constructed using PCA eigenvalue factor loadings. Geochemistry variables, synonymous with
factors for the purposes of PCA, were selected on the basis of their known potential to influence trace
element bioaccessibility (Stewart et al., 2003; Subacz et al., 2007; Poggio et al., 2009; Meunier et al.
2010; Bradham et al., 2011) and consisted of eight major element oxides (%), pH, loss on ignition (%;
LOI), and total Ni, V, and Cr (mg kg-1).
To address issues of data closure encountered in compositional geochemical data, an additive log ratio
transformation was applied to the data set using the robComposition package in R (Templ et al., 2009).
Titanium dioxide was chosen as the rationing variable for transformation (Reimann et al., 2009).
Values for the thirteen geochemistry factors noted above from 6,862 sample locations were analysed by
PCA using scaled Northern Ireland Tellus XRFS data for shallow soils. Scaling data corrects for
variability in the magnitude of values that will naturally be present in a data set with multiple factors
(Oksanen et al., 2013). To explore relationships between trace element bioaccessibility and Northern
�
Ireland geochemistry, UBM data inclusive of XRFS data from corresponding study set soil sample
locations were also analysed by PCA following the same methods described above.
PCA is an unconstrained ordination method that is useful for dimension reduction in multivariate data.
Data are transposed onto a three dimensional axis where the Euclidian distance between points is
calculated in each direction. Similar to a one-dimensional linear regression, a line of best fit is
calculated accounting for maximum variance between the data points; this vector is the first principal
component (PC1). The second principal component (PC2) is the vector which lies perpendicular to
PC1. Data are rotated in three dimensional space to repeat this process and derive subsequent
components. Eigenvalues represent the proportion of factor variance accounted for by a particular
component, providing the same level of information as an r2 value in linear regression. In addition to
factor eigenvalues, each soil sample location is assigned a unique site score. Site scores give an
indication of individual data positions and resulting relative weightings along component vectors in
three dimensional space. A higher score indicates more sample variance is accounted for by a
prescribed component (Reimann et al., 2009; ESRI, 2010; Oksanen et al., 2013).
Geochemistry variables and PCA site scores were mapped in ArcMap v.10 using ordinary kriging.
Semi-variograms were manually fitted to geochemistry data using an iterative process of varying search
neighbourhoods until the model yielding the least mean prediction error and best fit semi-variogram was
generated. Spatial PCA applies identical ordination methods as described previously, but additionally
generates raster outputs of unique site scores against each principal component to facilitate interpolation
of a site score surface. Final interpolated outputs show sample location variance accounted for by the
specified principal component (ESRI, 2010; Candeias et al., 2011).
3.0 Results
3.1 Regional Trends in Geochemistry
�
Table 2 provides summary statistics for oxides, trace elements, pH and LOI. Ni, Cr and V
concentrations are highest in soils overlying basalt bedrock types with their distributions controlled by a
long-range (a > 70 km) spatial function aligning with the extent of basalts in the northeast of the study
area (Figs. 2 and 3, Table 3). Ni and Cr exhibit low concentrations in soils overlying the 10 other
bedrock types investigated compared to V, which displays more variability in its distribution across the
study area (Figs. 2 and 3b). In particular, soils overlying sandstone and psammite & semi-pelite
bedrock types exhibit high concentrations of V.
Magnesium (Mg), calcium (Ca), manganese (Mn) and iron (Fe) oxides show high relative
concentrations in soils overlying basalt rock types (Figs. 4-6). Mg, Ca and Fe are present in the
�
minerals olivine, plagioclase feldspar and augite, which together account for approximately 90% of the
minerals in underlying basalt bedrock (Hill et al., 2001). Mn is also known to be elevated in basalts as it
readily substitutes for Fe in olivine (Wedepohl, 1978). Aluminium oxide (Al2O3) concentrations also
appear to be controlled by underlying basalt, although Al distributions are not as strongly constrained by
this bedrock type (Fig. 6b).
Spat
ially
, ph
osph
orou
s pe
ntox
ide
(P2O
5) d
ispl
ays
a hi
gh f
requ
ency
of
chan
ge i
n co
ncen
trat
ions
thr
ough
out
the
regi
on,
with
litt
le a
ppar
ent
asso
ciat
ion
to
unde
rlyi
ng b
edro
ck ty
pes
(Fig
s. 4
and
6d)
. T
his
smal
l-sc
ale
spat
ial d
istr
ibut
ion
is a
lso
disp
laye
d in
Tab
le 3
, whe
re P
2O5
is c
ontr
olle
d by
a s
hort
-ran
ge s
patia
l
func
tion
(a =
17
km)
with
ove
r ha
lf o
f its
tota
l var
ianc
e (C
) ac
coun
ted
for
by a
nug
get e
ffec
t (C
0).
A la
rge
nugg
et v
aria
nce
and
a sh
ort-
rang
e sp
atia
l fun
ctio
n
sugg
est
that
sm
all
scal
e pr
oces
ses
not
asso
ciat
ed w
ith u
nder
lyin
g ge
olog
y ar
e in
flue
ncin
g a
mod
elle
d pa
ram
eter
(D
ober
man
n et
al.,
199
5; E
inax
and
Sol
dt,
1999
). E
leva
ted
P 2O
5 in
sha
llow
soi
ls is
like
ly to
be
the
resu
lt of
agr
icul
tura
l pra
ctic
es s
uch
as p
hosp
hate
fer
tiliz
er a
pplic
atio
ns, a
n ob
serv
atio
n w
hich
has
als
o
been
not
ed b
y Jo
rdan
et
al.
(200
1).
Las
tly,
limes
tone
s, m
udst
ones
and
san
dsto
nes
unde
rlie
soi
ls h
ostin
g hi
gh m
ean
conc
entr
atio
ns o
f si
licon
dio
xide
(Si
O2;
Figs
. 4 a
nd 6
c), c
hara
cter
istic
of
the
pare
nt b
edro
ck m
ater
ial t
hat w
ill c
ontr
ibut
e to
hig
h sa
nd a
nd c
lay
min
eral
con
tent
in s
oil (
Spar
ks, 1
995)
.
LO
I, p
H a
nd s
ulph
ur t
riox
ide
(SO
3) a
re s
tron
gly
corr
elat
ed s
patia
lly a
cros
s N
orth
ern
Irel
and,
with
dis
trib
utio
n pa
ttern
s al
igni
ng w
ith a
cidi
c up
land
pea
t so
il
type
s w
hich
ove
rlie
mou
ntai
nous
for
mat
ions
com
pris
ed o
f ac
id v
olca
nic
and
psam
mite
& s
emi-
pelit
e ro
ck t
ypes
(Fi
gs. 6
e an
d 7;
Jor
dan
et a
l., 2
001)
. W
hils
t
aver
age
pH a
nd L
OI
rem
ain
rela
tivel
y co
nsta
nt a
cros
s be
droc
k gr
oups
in
the
stud
y ar
ea,
thes
e pa
ram
eter
s sh
ow m
ore
stat
istic
al i
rreg
ular
ity i
n th
e ac
id
volc
anic
and
psa
mm
ite &
sem
i-pe
lite
grou
ps (
Fig.
5).
In
add
ition
to
the
high
est
obse
rved
pro
port
ions
of
LO
I be
ing
loca
ted
in u
plan
d pe
aty
area
s,
inte
rmed
iate
leve
ls o
f L
OI
coul
d al
so b
e as
soci
ated
with
the
pres
ence
of
clay
min
eral
s in
oth
er p
arts
of
the
stud
y ar
ea (
Fig.
7),
as
the
LO
I m
etho
d ca
n re
sult
in
stru
ctur
al w
ater
loss
fro
m c
lay
in a
dditi
on to
pro
vidi
ng a
n es
timat
ion
of s
oil c
arbo
n co
nten
t (K
onen
et a
l., 2
002)
. T
he p
rese
nce
of s
ulph
ur c
ompo
unds
in p
eat
soils
may
be
indi
cativ
e of
mic
robi
al p
roce
sses
occ
urri
ng u
nder
red
ucin
g, w
ater
-log
ged
cond
ition
s or
cou
ld b
e as
soci
ated
with
atm
osph
eric
pol
lutio
n so
urce
s
(Cam
pbel
l, 19
96a;
Cam
pbel
l, 19
96b;
Neb
el a
nd W
righ
t, 20
00).
3.2
Ni,
V a
nd C
r B
ioac
cess
ibili
ty
� Mea
n an
d m
axim
um b
ioac
cess
ible
fra
ctio
ns (
BA
F; %
) fo
r N
i, V
and
Cr
wer
e hi
ghes
t in
the
gast
ric
phas
e. I
n lin
e w
ith b
est p
ract
ice
for
ensu
ring
hum
an h
ealth
risk
s ar
e no
t un
dere
stim
ated
, gas
tric
dat
a ar
e th
eref
ore
pres
ente
d to
pro
vide
a c
onse
rvat
ive
estim
ate
of t
he m
axim
um a
mou
nt o
f tr
ace
elem
ents
tha
t w
ould
be
pote
ntia
lly b
ioav
aila
ble.
N
ine
gene
ric
bedr
ock
clas
sifi
catio
ns w
ere
capt
ured
by
the
bioa
cces
sibi
lity
stud
y se
t (F
ig.
8).
BA
F ar
e pr
esen
ted
in T
able
4
���
acco
rdin
g to
gen
eric
bed
rock
typ
e w
ith g
abbr
o ex
clud
ed d
ue t
o th
e sm
all
sam
ple
size
in
this
cla
ssif
icat
ion.
B
AF
prov
ide
a pr
efer
red
basi
s fo
r co
mpa
riso
n
acro
ss b
edro
ck g
roup
s du
e to
nor
mal
isat
ion
by to
tal e
lem
ent c
once
ntra
tions
.
On
aver
age,
app
roxi
mat
ely
12%
of
tota
l N
i in
sha
llow
soi
ls a
cros
s N
orth
ern
Irel
and
was
sol
ubili
sed
by g
astr
ic e
xtra
ctio
n, e
quiv
alen
t to
a m
ean
bioa
cces
sibl
e
conc
entr
atio
n of
3.8
mg
kg-1
. T
he h
ighe
st q
uant
ity o
f bi
oacc
essi
ble
Ni
was
mea
sure
d at
30.
7 m
g kg
-1 a
nd o
ccur
red
in t
he l
ithic
are
nite
bed
rock
gro
up;
how
ever
, the
hig
hest
pro
port
ion
of b
ioac
cess
ible
Ni w
as o
bser
ved
in th
e ps
amm
ite &
sem
i-pe
lite
grou
p (m
ax =
46.
3%; T
able
4).
Soi
ls o
verl
ying
sed
imen
tary
limes
tone
s, s
ands
tone
s an
d m
udst
ones
had
hig
her
mea
n pr
opor
tions
of
bioa
cces
sibl
e N
i ov
eral
l co
mpa
red
to s
oils
ove
rlyi
ng o
ther
roc
k ty
pes.
A
lthou
gh t
he
high
est t
otal
Ni c
once
ntra
tions
are
obs
erve
d in
soi
ls o
verl
ying
bas
alt (
Figs
. 2 a
nd 3
), th
e lit
hic
aren
ite a
nd m
udst
one
bedr
ock
grou
ps h
oste
d up
to tw
ice
(max
=
30.7
mg
kg-1
) an
d on
e an
d a
half
tim
es (
max
= 2
4.2
mg
kg-1
) as
muc
h bi
oacc
essi
ble
Ni,
resp
ectiv
ely,
tha
n w
as m
easu
red
in t
he b
asal
t be
droc
k gr
oup
(max
=
15.7
mg
kg-1
).
Med
ian
Ni
BA
Fs w
ere
low
est
in t
he c
ongl
omer
ate
and
lithi
c ar
enite
gro
ups,
how
ever
, w
hile
the
hig
hest
med
ian
occu
rred
in
soils
ove
rlyi
ng
sand
ston
e.
App
roxi
mat
ely
8% o
f to
tal
V w
as f
ound
to
be b
ioac
cess
ible
on
aver
age
acro
ss 1
45 s
ampl
e lo
catio
ns,
with
mea
sure
d av
erag
e an
d m
axim
um b
ioac
cess
ible
conc
entr
atio
ns o
f 7.
4 an
d 52
.1 m
g kg
-1, r
espe
ctiv
ely.
Max
imum
pro
port
iona
l bio
acce
ssib
ility
occ
urre
d in
the
sand
ston
e gr
oup
(23.
1%),
alth
ough
this
was
onl
y
mar
gina
lly g
reat
er t
han
the
max
imum
BA
F of
22.
5% m
easu
red
in t
he b
asal
t be
droc
k gr
oup
(Tab
le 4
).
Sim
ilar
valu
es w
ere
reco
rded
in
the
mud
ston
e gr
oup,
with
up
to 2
2% o
f V
ren
dere
d so
lubl
e du
ring
gas
tric
ext
ract
ion.
O
vera
ll, t
he h
ighe
st m
ean
and
med
ian
leve
ls o
f ga
stri
c V
bio
acce
ssib
ility
wer
e re
cord
ed i
n
soils
ove
rlyi
ng b
asal
t bed
rock
, bot
h in
term
s of
pro
port
iona
l and
abs
olut
e m
easu
rem
ents
. T
he m
edia
n bi
oacc
essi
ble
V c
once
ntra
tion
in s
oils
ove
rlyi
ng b
asal
t
bedr
ock
was
11.
5 m
g kg
-1 (B
AF
= 1
0.3%
). M
edia
n V
BA
Fs r
ange
d fr
om 5
.0%
to 8
.6%
acr
oss
the
rem
aini
ng b
edro
ck g
roup
s (T
able
4).
Cr
disp
laye
d a
max
imum
BA
F of
5.4
% o
f its
tota
l con
cent
ratio
n, w
ith a
mea
n an
d m
edia
n B
AF
of 1
.2%
and
1.0
%, r
espe
ctiv
ely,
acr
oss
the
stud
y se
t (T
able
4).
Des
pite
low
pro
port
ions
of
Cr
bein
g bi
oacc
essi
ble,
9 -
10
mg
kg-1
of
gast
ric
bioa
cces
sibl
e C
r w
as e
xtra
cted
fro
m tw
o sa
mpl
es, w
ith m
easu
red
bioa
cces
sibi
lity
rang
ing
betw
een
5 -
6 m
g kg
-1 a
t a
furt
her
thre
e sa
mpl
e lo
catio
ns.
Eac
h of
the
se f
ive
soils
obs
erve
d to
hav
e re
lativ
ely
high
lev
els
of C
r bi
oacc
essi
bilit
y
occu
rred
in
sam
ples
ove
rlyi
ng b
asal
t be
droc
k.
The
max
imum
Cr
BA
F al
so o
ccur
red
in t
he b
asal
t be
droc
k gr
oup,
alth
ough
the
mea
n B
AF
was
hig
hest
in
the
gran
ite b
edro
ck g
roup
(1.
7%; F
ig. 8
). A
vera
ge to
tal C
r bi
oacc
essi
bilit
y ac
ross
the
stud
y ar
ea w
as m
easu
red
at 1
.5 m
g kg
-1.
Med
ian
bioa
cces
sibi
lity
acro
ss a
ll
���
bedr
ock
grou
ps r
ange
d fr
om 0
.9%
- 1
.4%
(T
able
4),
with
the
hig
hest
med
ian
BA
F ob
serv
ed i
n so
ils o
verl
ying
bas
alt.
It
shou
ld b
e no
ted
that
pot
entia
l he
alth
risk
fro
m C
r in
soi
l is
high
ly d
epen
dent
upo
n sp
ecia
tion
whi
ch w
as n
ot id
entif
ied
as p
art o
f th
is s
tudy
(N
atha
nail
et a
l., 2
009)
.
3.3
Iden
tifie
d Pr
inci
pal C
ompo
nent
s
� Prin
cipa
l co
mpo
nent
ana
lysi
s of
the
ful
l ge
oche
mis
try
data
set
with
thi
rtee
n se
lect
ed v
aria
bles
ide
ntif
ied
thre
e co
mpo
nent
s ac
coun
ting
for
a cu
mul
ativ
e
vari
ance
of
79%
acr
oss
Nor
ther
n Ir
elan
d.
Ana
lysi
s of
the
UB
M d
ata
set
foun
d fo
ur c
ompo
nent
s al
so a
ccou
ntin
g fo
r 79
% o
f va
rian
ce (
Tab
le 5
).
Fact
or
load
ings
for
eac
h co
mpo
nent
are
pre
sent
ed in
Tab
le 6
. PC
1, li
nked
to v
aria
bles
ass
ocia
ted
spat
ially
with
bas
alt,
acco
unte
d fo
r th
e gr
eate
st a
mou
nt o
f va
rian
ce
(45%
) in
the
data
. A
fur
ther
24%
of
geoc
hem
ical
var
ianc
e fr
om P
C2
is e
xpla
ined
by
vari
able
s as
soci
ated
with
sed
imen
tary
for
mat
ions
suc
h as
Ca,
Fe
and
Mg
(Tab
le 6
). S
uch
elem
ents
are
abu
ndan
t in
min
eral
s of
low
har
dnes
s su
ch a
s do
lom
ite, c
alci
te a
nd c
hlor
ite (
Tar
buck
and
Lut
gens
, 199
9) a
lthou
gh th
e pr
esen
ce
of t
hese
spe
cifi
c m
iner
als
in t
he s
tudy
are
a is
not
con
firm
ed.
In
the
UB
M s
tudy
set
, C
r is
the
onl
y tr
ace
elem
ent
who
se b
ioac
cess
ible
con
cent
ratio
ns w
ere
wei
ghte
d to
war
ds t
he s
ame
geol
ogic
com
pone
nt a
s its
tot
al c
once
ntra
tions
, hi
ghlig
htin
g its
def
initi
ve g
eoge
nic
cont
rols
(T
able
6).
B
ioac
cess
ible
Ni
and
V
conc
entr
atio
ns,
how
ever
, w
ere
mor
e cl
osel
y as
soci
ated
with
fac
tors
spa
tially
rel
ated
to
acid
pea
t so
il ch
emis
try
such
as
SO3
and
LO
I an
d al
so w
ith f
acto
rs
sugg
estiv
e of
less
rec
alci
tran
t min
eral
s.
Eig
enva
lue
load
ing
plot
s m
ay b
e us
ed t
o ill
ustr
ate
both
ind
ivid
ual
sam
ple
site
loa
ding
s an
d fa
ctor
loa
ding
s ag
ains
t id
entif
ied
prin
cipa
l co
mpo
nent
s.
Figu
res
9a a
nd 9
b ill
ustr
ate
fact
or lo
adin
gs o
nly
for
purp
oses
of
clar
ity d
ue to
the
high
num
ber
of s
oil s
ampl
e si
tes
anal
ysed
by
PCA
. W
here
obt
use
angl
es a
re p
rese
nt
betw
een
vect
ors
in t
he p
lot,
a ne
gativ
e co
rrel
atio
n am
ong
two
vari
able
s is
exp
ecte
d.
Con
vers
ely,
acu
te a
ngle
s su
gges
t a
posi
tive
rel
atio
nshi
p be
twee
n tw
o
fact
ors,
with
sm
alle
r de
gree
s of
sep
arat
ion
indi
catin
g a
stro
nger
cor
rela
tion
(Rei
man
n et
al.,
200
9).
Tot
al N
i, V
and
Cr
and
Fe a
nd M
n ox
ides
for
m a
clu
ster
of
vect
ors
in th
e bo
ttom
rig
ht q
uadr
ant o
f th
e pl
ot in
Fig
. 9a,
dem
onst
rativ
e of
thei
r ge
oche
mic
al c
o-
occu
rren
ces
in b
asal
t. T
he p
rese
nce
of A
l ox
ides
is
infe
rred
by
less
tha
n 90
deg
ree
angl
es b
etw
een
the
eige
nvec
tors
of
Al 2
O3,
MgO
and
CaO
, a s
olid
pha
se
whi
ch w
as a
lso
iden
tifie
d by
Cox
et a
l. (2
013)
. A
l mai
ntai
ns m
ore
than
one
geo
chem
ical
ass
ocia
tion,
how
ever
, dem
onst
rate
d by
its
corr
elat
ion
also
with
SiO
2
���
in t
he l
oadi
ng p
lot,
affi
rmin
g th
e in
flue
nce
of c
lay
min
eral
s in
the
stu
dy a
rea
(The
ng, 1
974;
Spa
rks,
199
5; C
ox e
t al
., 20
13).
L
OI
and
SO3
are
also
str
ongl
y
corr
elat
ed, s
ugge
stin
g a
soil-
geoc
hem
ical
inf
luen
ce f
rom
pea
t so
il ty
pes.
T
he p
rese
nce
of s
edim
enta
ry m
iner
als
is i
llust
rate
d by
the
ass
ocia
tions
bet
wee
n C
a
and
Mg
oxid
es in
Fig
. 9a
(Tar
buck
and
Lut
gens
, 199
9).
Furt
herm
ore,
oxi
des
of th
ese
two
elem
ents
are
in c
lose
r pr
oxim
ity to
Ni i
n th
e lo
adin
g pl
ot r
elat
ive
to
Cr
or V
, sug
gest
ing
that
Ni r
esid
es in
dif
fere
nt h
ost m
iner
al p
hase
s th
an C
r or
V.
Insp
ectio
n of
Fig
. 9b
inc
lusi
ve o
f U
BM
ext
ract
ion
data
sho
ws
that
bio
acce
ssib
le c
once
ntra
tions
of
Ni,
V a
nd C
r ar
e st
ill c
lose
ly a
ssoc
iate
d w
ith t
heir
tot
al
conc
entr
atio
ns, a
lthou
gh th
is f
igur
e ill
ustr
ates
PC
1 an
d PC
2 on
ly.
Of
part
icul
ar n
ote
is th
e gr
eate
r pr
oxim
ity o
f bi
oacc
essi
ble
Ni c
once
ntra
tions
to C
a an
d M
g
oxid
es in
the
load
ing
plot
than
tota
l Ni c
once
ntra
tions
, illu
stra
ting
diff
erin
g ge
oche
mic
al a
ssoc
iatio
ns b
etw
een
tota
l and
bio
acce
ssib
le N
i.
Com
pone
nt s
ampl
e sc
ores
are
spa
tially
illu
stra
ted
in F
igs.
10a
-c.
In
line
with
the
abo
ve P
CA
int
erpr
etat
ions
, sa
mpl
e sc
ores
are
hea
vily
wei
ghte
d to
PC
1 in
the
basa
lt re
gion
s, w
ith m
inor
var
iabi
lity
also
acc
ount
ed f
or b
y un
derl
ying
cla
y an
d sa
ndst
one
rock
type
s. S
patia
l pat
tern
s ill
ustr
ated
by
PC1
indi
cate
bed
rock
geol
ogy
prov
ides
the
prim
ary
basi
s fo
r ge
oche
mic
al v
aria
bilit
y. P
C2
conf
orm
s to
a s
patia
l pat
tern
mor
e cl
osel
y al
igne
d w
ith r
egio
nal v
aria
bilit
y in
soi
l typ
es,
illus
trat
ing
the
addi
tiona
l im
port
ance
of
soil
chem
istr
y.
Alth
ough
Tab
le 5
sho
ws
the
thir
d m
inor
com
pone
nt a
ccou
nts
for
only
10
and
9% o
f va
rian
ce i
n th
e
full
geoc
hem
istr
y an
d U
BM
stu
dy s
ets,
res
pect
ivel
y, s
patia
l PC
A e
ffec
tivel
y ill
ustr
ates
the
im
pact
of
soil-
geoc
hem
ical
con
trol
s fr
om P
C3
rela
ting
to s
oil
acid
ity (
Tab
le 6
).
The
cla
rity
of
spat
ial
patte
rns
of P
C3
in F
ig.
10c
addi
tiona
lly s
ugge
sts
that
exp
lori
ng g
eoch
emis
try
in t
he a
bsen
ce o
f st
rong
sou
rces
of
vari
ance
suc
h as
the
basa
lts m
ay r
evea
l add
ition
al s
oil-
geoc
hem
ical
com
pone
nts
othe
rwis
e m
aske
d by
the
basa
lts.
4.0
Dis
cuss
ion
� The
min
imum
Ni
BA
F oc
curr
ed i
n th
e ba
salt
bedr
ock
grou
p.
Tot
al N
i, M
gO, A
l 2O
3, P
2O5,
MnO
and
Fe 2
O3,
pre
viou
sly
obse
rved
by
Palm
er e
t al
. (20
13)
to
have
sig
nifi
cant
neg
ativ
e co
rrel
atio
ns w
ith N
i bi
oacc
essi
bilit
y, w
ere
also
fou
nd t
o be
pre
sent
at
high
con
cent
ratio
ns i
n so
ils o
verl
ying
bas
alt
com
pare
d to
the
othe
r be
droc
k gr
oups
(Fi
gs. 2
– 6
).
A s
igni
fica
nt p
ropo
rtio
n of
var
iabi
lity
in t
he a
bove
var
iabl
es i
s ex
plai
ned
by P
C1,
ass
ocia
ted
with
bas
alt
bedr
ock
in t
he
stud
y ar
ea,
supp
ortin
g th
e co
nclu
sion
tha
t N
i in
soi
ls o
verl
ying
bas
alt
bedr
ock
will
hav
e re
lativ
ely
low
bio
acce
ssib
le f
ract
ions
irr
espe
ctiv
e of
tot
al N
i so
il
���
conc
entr
atio
ns.
Thi
s is
like
ly d
ue to
the
pres
ence
of
min
eral
s of
hig
h re
calc
itran
ce s
uch
as o
livin
e, q
uart
z, f
elds
par
or p
yrox
ene
(Lyl
e, 1
980)
. T
he m
axim
um
Ni
BA
F w
as o
bser
ved
in s
oils
fro
m t
he p
sam
mite
& s
emi
pelit
e gr
oup.
A
ssoc
iatio
ns w
ith t
his
bedr
ock
grou
p su
gges
t a
peat
spa
tial
infl
uenc
e ra
ther
tha
n
cont
rol f
rom
und
erly
ing
bedr
ock
itsel
f, a
s th
is b
edro
ck g
roup
is c
over
ed la
rgel
y by
upl
and
peat
soi
l typ
es in
Nor
ther
n Ir
elan
d.
As
show
n by
Fig
s. 2
– 6
, soi
ls
over
lyin
g ps
amm
ite &
sem
i pel
ite h
osts
low
ave
rage
tota
l Ni,
low
ave
rage
con
cent
ratio
ns o
f M
g, A
l, Si
, Fe,
and
Mn
oxid
es p
revi
ousl
y ob
serv
ed to
neg
ativ
ely
infl
uenc
e N
i bio
acce
ssib
ility
, and
rel
ativ
ely
high
mea
sure
d SO
3 an
d L
OI.
In
the
UB
M d
ata
set t
he m
ajor
ity o
f va
rian
ce in
SO
3 an
d L
OI,
whi
ch h
ad p
revi
ousl
y
obse
rved
str
ong
posi
tive
corr
elat
ions
with
Ni
bioa
cces
sibi
lity,
was
acc
ount
ed f
or b
y PC
2.
Peat
soi
ls h
ave
high
org
anic
mat
ter
cont
ent
and
exhi
bit
acid
ic s
oil
pH, b
oth
of w
hich
are
exp
ecte
d to
incr
ease
Ni m
obili
ty, r
esul
ting
in h
ighe
r or
al b
ioac
cess
ibili
ty.
Ni p
osse
sses
a h
igh
affi
nity
for
soi
l org
anic
mat
ter
whi
ch c
an
incr
ease
Ni
soil
mob
ility
thr
ough
the
for
mat
ion
of s
olub
le o
rgan
ic c
hela
tes
(Allo
way
, 20
05).
In
add
ition
, N
i m
obili
ty i
ncre
ases
with
dec
reas
ing
pH
(Env
iron
men
t Age
ncy,
200
9; P
oggi
o et
al.,
200
9).
An
inve
stig
atio
n of
Ni b
ioac
cess
ibili
ty in
bas
alts
in N
orth
ern
Irel
and
usin
g ch
emom
etri
c ex
trac
tion
data
det
erm
ined
that
a la
rge
prop
ortio
n of
bio
acce
ssib
le N
i
in s
oil
sam
ples
ove
rlyi
ng b
asal
t w
as h
oste
d by
sol
uble
car
bona
te p
hase
s, a
lum
iniu
m o
xide
s an
d cl
ay.
A s
mal
l pr
opor
tion
of b
ioac
cess
ible
Ni
was
ass
ocia
ted
with
iro
n ox
ide,
alth
ough
the
non
-bio
acce
ssib
le p
ropo
rtio
n w
as h
oste
d by
the
rem
aini
ng i
ron
oxid
e m
iner
als
(Cox
et
al.,
2013
).
Whi
le t
hese
fin
ding
s w
ere
appl
icab
le i
n so
ils o
verl
ying
bas
alt,
the
gene
ral
regi
onal
tre
nd o
bser
ved
acro
ss N
orth
ern
Irel
and
appe
ars
to d
iffe
r sl
ight
ly f
rom
thi
s, w
ith v
aria
bles
ass
ocia
ted
with
cla
y, A
l an
d Fe
oxi
des
appe
arin
g to
hav
e a
nega
tive
infl
uenc
e ov
er N
i bi
oacc
essi
bilit
y (P
alm
er e
t al
., 20
13).
C
alci
um a
risi
ng f
rom
ins
olub
le m
iner
als
pres
ent
in b
asal
ts m
ay b
e as
soci
ated
with
red
uced
Ni
bioa
cces
sibi
lity
but
Ca
in s
oils
ove
rlyi
ng s
edim
enta
ry l
imes
tone
s w
ill a
ccou
nt f
or h
ighe
r N
i
bioa
cces
sibi
lity.
The
min
imum
V B
AF
occu
rred
in
the
psam
mite
& s
emi-
pelit
e gr
oup,
whi
le l
ow m
edia
n V
BA
Fs w
ere
obse
rved
in
soils
inc
lude
d in
the
lim
esto
ne a
nd l
ithic
aren
ite b
edro
ck g
roup
s.
Hig
her
mea
n an
d m
edia
n V
bio
acce
ssib
ility
(%
) w
as o
bser
ved
in s
oils
fro
m t
he b
asal
t be
droc
k sa
mpl
e gr
oup
com
pare
d to
oth
er
bedr
ock
type
s, w
here
tota
l soi
l V w
as a
lso
the
high
est.
Pal
mer
et a
l. (2
013)
iden
tifie
d si
mila
r co
rrel
atio
ns b
etw
een
maj
or o
xide
s, S
O3,
LO
I an
d bi
oacc
essi
ble
V a
s w
ere
obse
rved
for
bio
acce
ssib
le N
i; ho
wev
er,
resu
lts c
once
rnin
g m
ore
deta
iled
fact
ors
cont
rolli
ng V
bio
acce
ssib
ility
are
les
s co
nclu
sive
fro
m t
his
part
icul
ar s
tudy
. B
ased
on
prev
ious
cor
rela
tion
anal
yses
, fa
ctor
s re
latin
g to
V b
ioac
cess
ibili
ty w
ere
expe
cted
to
be s
imila
r to
tho
se i
dent
ifie
d fo
r N
i.
Alth
ough
bot
h el
emen
ts h
ave
a hi
gh a
ffin
ity f
or o
rgan
ic m
atte
r in
soi
l, V
is
unde
rsto
od t
o be
mor
e m
obile
in
alka
line
cond
ition
s, u
nlik
e N
i (U
SEPA
, 20
05;
���
Env
iron
men
t A
genc
y, 2
009)
. A
s sh
own
by F
ig.
3, t
otal
V i
n so
ils i
s le
ss c
onst
rain
ed b
y ba
salts
acr
oss
the
stud
y ar
ea w
hen
com
pare
d to
Ni
or C
r, w
ith
mod
erat
e V
con
cent
ratio
ns o
bser
ved
in s
oils
thr
ough
out
the
wes
tern
hal
f of
the
stu
dy a
rea.
Pu
blis
hed
info
rmat
ion
rega
rdin
g V
bio
acce
ssib
ility
is
limite
d,
alth
ough
fac
tors
lin
ked
to p
eat
wer
e pr
evio
usly
pos
itive
ly c
orre
late
d w
ith V
BA
Fs w
hile
Al
and
Fe o
xide
s w
ere
nega
tivel
y co
rrel
ated
to
V B
AFs
(Pa
lmer
et
al.,
2013
).
The
min
imum
Cr
BA
F w
as o
bser
ved
in t
he p
sam
mite
& s
emi-
pelit
e be
droc
k gr
oup.
T
his
grou
p ho
sts
low
ave
rage
con
cent
ratio
ns o
f to
tal
Cr,
MgO
, A
l 2O
3,
CaO
, M
nO,
and
Fe2O
3 w
hile
hav
ing
high
er a
vera
ge l
evel
s of
SO
3 an
d L
OI
com
pare
d to
the
oth
er b
edro
ck g
roup
s.
The
max
imum
Cr
BA
F oc
curr
ed i
n th
e
basa
lt be
droc
k gr
oup,
whi
ch g
ener
ally
exh
ibits
the
opp
osite
tre
nds
in m
ajor
oxi
de a
bund
ance
and
LO
I w
hen
com
pare
d to
the
psa
mm
ite
& s
emi-
pelit
e gr
oup.
Cox
et a
l. (2
013)
fou
nd p
ortio
ns o
f to
tal C
r w
ere
host
ed b
y ir
on o
xide
s in
bas
alt a
nd id
entif
ied
stro
ng p
ositi
ve c
orre
latio
ns b
etw
een
bioa
cces
sibl
e C
r an
d to
tal
Cr,
MgO
, A
l 2O
3, P
2O5,
CaO
, M
nO,
and
Fe2O
3, f
acto
rs w
hich
wer
e al
so a
ssoc
iate
d w
ith t
he b
asal
t co
mpo
nent
as
iden
tifie
d by
PC
1.
Hill
et
al.
(200
1) f
ound
that
Cr
in t
he A
ntri
m B
asal
ts w
as a
ssoc
iate
d w
ith s
tabl
e ir
on o
xide
s an
d as
a r
esul
t w
as e
nric
hed
duri
ng w
eath
erin
g, s
ugge
stin
g th
at C
r is
not
mob
ile a
nd
ther
efor
e un
likel
y to
be
bioa
cces
sibl
e. S
imila
r tr
ends
in C
r ha
ve b
een
note
d pr
evio
usly
with
res
pect
to it
s af
fini
ty to
Fe
and
Al o
xide
s an
d cl
ay m
iner
als
in th
e
soil
envi
ronm
ent (
Rai
et a
l., 1
989;
Fre
i and
Pol
at, 2
013)
. T
his
is in
con
tras
t to
Ni w
hose
min
eral
ass
ocia
tions
are
in a
mor
e bi
oacc
essi
ble
form
, an
obse
rvat
ion
whi
ch m
ay n
ot b
e lim
ited
to s
oils
ove
rlyi
ng b
asal
ts b
ut w
hich
may
als
o ap
ply
to N
i in
soils
acr
oss
Nor
ther
n Ir
elan
d ba
sed
on P
CA
fin
ding
s.
5.0
Con
clus
ion
Stro
ng g
eoge
nic
cont
rols
in
Nor
ther
n Ir
elan
d in
flue
nce
the
spat
ial
dist
ribu
tion
and
conc
entr
atio
ns o
f m
ajor
and
tra
ce e
lem
ents
in
soils
. H
owev
er,
the
oral
bioa
cces
sibi
lity
of N
i, V
and
Cr
is i
nflu
ence
d by
com
plex
soi
l-ge
oche
mis
try
inte
ract
ions
tha
t ar
e no
t fu
lly a
ccou
nted
for
by
unde
rlyi
ng g
eolo
gy o
r to
tal
trac
e
elem
ent
conc
entr
atio
ns.
Hig
her
Ni
bioa
cces
sibi
lity
was
obs
erve
d in
soi
ls o
ver
psam
mite
& s
emi-
pelit
e an
d lim
esto
ne r
ock
type
s, c
oncl
uded
to
be l
inke
d
spec
ific
ally
to
the
pres
ence
of
acid
ic s
oil
cond
ition
s, o
rgan
ic m
atte
r, a
nd c
arbo
nife
rous
sed
imen
tary
geo
logy
. H
igh
frac
tions
of
bioa
cces
sibl
e V
wer
e
obse
rved
in
soils
ove
rlyi
ng b
asal
t an
d sa
ndst
one
bedr
ock,
alth
ough
dis
tinct
con
trol
s fr
om u
nder
lyin
g be
droc
k ov
er V
bio
acce
ssib
ility
wer
e no
t cl
earl
y
���
disc
erni
ble.
B
oth
tota
l an
d bi
oacc
essi
ble
Cr
conc
entr
atio
ns s
how
ed t
he s
tron
gest
ass
ocia
tions
to
geol
ogic
fac
tors
, ex
plai
ning
in
part
its
low
bio
acce
ssib
le
frac
tions
but
hig
h bi
oacc
essi
ble
conc
entr
atio
ns.
Ack
now
ledg
emen
ts a
nd D
iscl
aim
er
2013
UB
M t
estin
g w
as s
uppo
rted
by
the
EU
IN
TE
RR
EG
IV
A-f
unde
d T
ellu
s B
orde
r pr
ojec
t. T
he v
iew
s an
d op
inio
ns e
xpre
ssed
in
this
rep
ort
do n
ot
nece
ssar
ily r
efle
ct t
hose
of
the
Eur
opea
n C
omm
issi
on o
r th
e SE
UPB
.��T
ellu
s B
orde
r is
a €
5 m
illio
n cr
oss-
bord
er p
roje
ct t
o m
ap t
he e
nvir
onm
ent
and
natu
ral
reso
urce
s in
the
bor
der
regi
on o
f Ir
elan
d an
d co
ntin
ue t
he a
naly
sis
of d
ata
in t
he b
orde
r co
untie
s of
Nor
ther
n Ir
elan
d.
It i
s a
join
t in
itiat
ive
betw
een
the
Geo
logi
cal
Surv
ey o
f N
orth
ern
Irel
and,
the
Geo
logi
cal
Surv
ey o
f Ir
elan
d, Q
ueen
’s U
nive
rsity
, B
elfa
st a
nd D
unda
lk I
nstit
ute
of T
echn
olog
y.
2009
UB
M
test
ing
was
fun
ded
by th
e B
GS
Uni
vers
ity F
undi
ng I
nitia
tive.
The
Nor
ther
n Ir
elan
d T
ellu
s pr
ojec
t w
as f
unde
d by
the
Nor
ther
n Ir
elan
d D
epar
tmen
t of
Ent
erpr
ise,
Tra
de a
nd I
nves
tmen
t an
d by
the
Rur
al D
evel
opm
ent
Prog
ram
me
thro
ugh
the
Nor
ther
n Ir
elan
d Pr
ogra
mm
e fo
r B
uild
ing
Sust
aina
ble
Pros
peri
ty.
Spec
ial t
hank
s to
sta
ff a
t the
Ana
lytic
al G
eoch
emis
try
Faci
lity
at th
e B
GS
Kin
gsle
y D
unha
m C
entr
e, e
spec
ially
Mr.
Tom
Bar
low
and
Mr.
Elli
ott H
amilt
on f
or
thei
r te
chni
cal a
nd a
naly
tical
sup
port
. T
hank
s al
so to
Mar
k C
ave
and
Jo W
ragg
for
thei
r va
luab
le a
ssis
tanc
e w
ith 2
013
UB
M d
ata
QA
.
Ref
eren
ces
� Abo
llino
O.,
Mal
adri
no M
., G
iaco
min
o A
., M
enta
sti
E.
(201
1) T
he r
ole
of c
hem
omet
rics
in
sing
le a
nd s
eque
ntia
l ex
trac
tion
assa
ys:
A r
evie
w P
art
I.
Ext
ract
ion
proc
edur
es, u
ni-
and
biva
riat
e te
chni
ques
and
mul
tivar
iate
var
iabl
e re
duct
ion
tech
niqu
es f
or p
atte
rn r
ecog
nitio
n. A
nal.
Chi
m. A
cta
688,
104
-121
. A
llow
ay B
. J.
(20
05)
Bio
avai
labi
lity
of e
lem
ents
in
soil.
In
Ess
enti
als
of M
edic
al G
eolo
gy,
Els
evie
r A
cade
mic
Pre
ss,
Lon
don.
S
elin
us,
Allo
way
, C
ente
no,
Fink
elm
an, F
uge,
Lin
dh, S
med
ley
(eds
.).
BA
RG
E/I
NE
RIS
(2
011)
U
BM
pr
oced
ure
for
the
mea
sure
men
t of
in
orga
nic
cont
amin
ant
bioa
cces
sibi
lity
from
so
lid
mat
rice
s.
A
vaila
ble
at
http
://w
ww
.bgs
.ac.
uk/B
AR
GE
/ubm
.htm
l. B
arsb
y A
., M
cKin
ley
J.M
., O
fter
ding
er U
., Y
oung
M.,
Cav
e M
.R.,
Wra
gg J
. (20
12)
Bio
acce
ssib
ility
of
trac
e el
emen
ts in
soi
ls in
Nor
ther
n Ir
elan
d. S
ci. T
otal
E
nvir
on. 4
33, 3
98-4
17.
��
Cab
oche
J.
(200
9)
Val
idat
ion
d'un
tes
t de
mes
ure
de b
ioac
cess
ibili
té.
App
licat
ion
à qu
atre
élé
men
ts t
race
s m
étal
lique
dan
s le
s so
ls:
As,
Cd,
Pb
et S
b.
Scie
nce
Agr
onom
ique
. PhD
. L'In
stitu
t Nat
iona
l Pol
ytec
hniq
ue d
e L
orra
ine,
Nan
cy, p
p. 3
48.
C
ampb
ell
N.
A.
(199
6a)
Prok
aryo
tes
and
the
orig
ins
of m
etab
olic
div
ersi
ty.
In
Bio
logy
4th e
d.
Ben
jam
in/C
umm
ings
Pub
lishi
ng C
ompa
ny,
New
Yor
k. p
p.
498-
517.
C
ampb
ell,
N. A
. (19
96b)
Wat
er a
nd th
e fi
tnes
s of
the
envi
ronm
ent.
In
Bio
logy
4th e
d. B
enja
min
/Cum
min
gs P
ublis
hing
Com
pany
, New
Yor
k. p
p. 4
1-52
. C
ande
ias
C.,
Ferr
eira
da
Silv
a E
., Sa
lgue
iro
A.
R.,
Pere
ira
H.
G.,
Rei
s A
.P.,
Patin
ha C
., M
atos
J.X
., A
vila
P.H
. (2
011)
The
use
of
mul
tivar
iate
sta
tistic
al
anal
ysis
of
geoc
hem
ical
dat
a fo
r as
sess
ing
the
spat
ial
dist
ribu
tion
of s
oil
cont
amin
atio
n by
pot
entia
lly t
oxic
ele
men
ts i
n th
e A
ljust
rel
min
ing
area
. E
nvir
on.
Ear
th S
ci. 6
2, 1
461-
1479
. C
ox S
. F.,
Che
lliah
M.,
McK
inle
y J.
M.,
Palm
er S
., O
fter
ding
er U
., C
ave
M. R
., W
ragg
J.,
You
ng M
. (20
13)
The
impo
rtan
ce o
f so
lid-p
hase
dis
trib
utio
n on
the
oral
bio
acce
ssib
ility
of
Ni a
nd C
r in
soi
ls o
verl
ying
Pal
aeog
ene
basa
lt la
vas,
Nor
ther
n Ir
elan
d. E
nvir
on. G
eoch
em. H
lth
35(5
), 5
53-5
67.
The
Cha
rter
ed I
nstit
ute
of E
nvir
onm
enta
l H
ealth
(C
IEH
) (2
009)
Pro
fess
iona
l pr
actic
e no
te:
revi
ewin
g hu
man
hea
lth r
isk
asse
ssm
ent
repo
rts
invo
king
co
ntam
inan
t ora
l bio
avai
labi
lity
mea
sure
men
ts o
r es
timat
es.
Ava
ilabl
e at
ww
w.c
ieh.
org/
polic
y/re
view
ing_
hum
an_h
ealth
_ris
k.ht
ml.
Upd
ated
201
3.
Den
ys S
., C
aboc
he J
., T
ack
K.,
Ryc
hen
G.,
Wra
gg J
., C
ave
M.,
Jond
revi
lle C
., Fe
idt C
. (20
12)
In v
ivo
valid
atio
n of
the
unif
ied
BA
RG
E m
etho
d to
ass
ess
the
bioa
cces
sibi
lity
of a
rsen
ic, a
ntim
ony,
cad
miu
m a
nd le
ad in
soi
ls.
Env
iron
. Sci
. Tec
h. 4
6, 6
252-
6260
. D
epar
tmen
t fo
r E
nvir
onm
ent,
Food
and
Rur
al A
ffai
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stud
y ar
ea.
��
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��
Fig.
3 T
otal
Ni,
V a
nd C
r so
il co
ncen
trat
ions
acr
oss
Nor
ther
n Ir
elan
d in
terp
olat
ed b
y or
dina
ry k
rigi
ng.
Inte
rmed
iate
con
cent
ratio
ns o
f N
i, V
and
Cr
can
be
��
obse
rved
in s
ands
tone
s an
d lit
hic
aren
ite in
the
sout
heas
t whi
le r
elat
ivel
y lo
w c
once
ntra
tions
are
illu
stra
ted
in u
plan
d lo
catio
ns r
elat
ing
to m
ount
aino
us g
rani
te
�
and
psam
mite
& s
emi-
pelit
e, p
artic
ular
ly f
or C
r an
d V
.
�
���
��
Fig.
4 B
ox p
lots
for
six
maj
or e
lem
ent o
xide
s ex
pres
sed
as p
erce
nt to
tal o
xyge
n ac
ross
ele
ven
bedr
ock
grou
ps.
Irre
gula
rity
in th
e st
atis
tical
dis
trib
utio
ns o
f ��
som
e va
riab
les
in s
oils
ove
rlyi
ng a
cid
volc
anic
s or
psa
mm
ite &
sem
i-pe
lite
may
sug
gest
the
pres
ence
of
sour
ces
of s
oil-
geoc
hem
ical
var
iabi
lity
not
���
dist
ingu
ishe
d by
the
pres
ent g
roup
ing
of d
ata
by g
ener
ic b
edro
ck ty
pe.
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���
���
���
Fig.
5 B
ox p
lots
of
MnO
and
Fe 2
O3
as p
erce
nt to
tal o
xyge
n, p
H a
nd p
erce
nt lo
ss o
n ig
nitio
n (L
OI)
with
y-a
xis
limite
d fo
r M
nO to
per
mit
illus
trat
ion
of
���
stat
istic
al d
istr
ibut
ion.
Low
er a
vera
ge p
H in
psa
mm
ite &
sem
i-pe
lite
and
acid
vol
cani
c gr
oups
is th
e re
sult
of u
plan
d pe
at s
oils
ove
r th
ese
bedr
ock
type
s.
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Irre
gula
rity
in L
OI
dist
ribu
tions
als
o in
thes
e tw
o be
droc
k gr
oups
may
sug
gest
the
LO
I m
etho
d is
det
ectin
g m
ultip
le s
ourc
es o
f co
mbu
stio
n an
d w
ater
loss
��
from
bot
h pe
at a
nd c
lay
soil
min
eral
s (S
aleh
i et a
l., 2
011)
.��
Fig. 6 Kriged major oxide distributions across Northern Ireland. MgO, CaO, and Fe2O3 are distinctly controlled by basalts in the northeast and most oxides with the exception of SO3 display relative deficiency in mountainous upland peat soils. Al2O3 and SiO2 show high concentrations in sandstone, lithic arenite, mudstones and limestones, whilst P2O5 is the only oxide whose distribution shows little apparent relationship to underlying geology.
���
Fig. 7 Kriged soil pH and % loss on ignition across Northern Ireland. LOI gives an approximation of soil carbon content as illustrated by high values corresponding with spatial patterns of upland peat distributions, also related to acidic soil pH conditions as shown left.
Fig 8. Boxplot distributions for gastric bioaccessible fractions of Ni, V and Cr according to nine underlying bedrock groups captured by combined UBM study set.
Figgeofact
Figgeobasass �
g. 9 ochetors
g. 10ochesalt ocia
Eigemis wh
0 Memibedated
genistryhile
Mapical drocd pr
nvaluy dae ob
pedvar
ck, Predo
ue fata stuse
d sorianPC2omin
factset (e an
il sance f2 is nan
tor l(a) ngle
ampfromlink
ntly
loadand
es il
ple m thkedwit
dingd in llust
sitehirted to th a
g ploUBtrate
e scoeen soilpH
�
ots BM e a
oresgeo
l facH inf
for studneg
s froochctorflue
pridy sgativ
om emir vaence
ncipset (ve r
PCical
ariane.
pal (b).relat
A. Fl varnce
com Ation
Firsriaband
mpocutenshi
st thblesd re
onene veip.
hrees. Pemai
nts ecto
e coPC1 inin
idenor an
ompis a
ng v
ntifngle
oneassovaria
fied es im
entsociaanc
in fmpl
accatede lin
fullly a
cou witnke
Noa cor
nt fth v
ed to
orthrrel
for 8variao PC
ern latio
87%ancC3 i
Ireon b
% ofce fris
elandbetw
f totrom
d ween
tal m
n
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Tables Table 1. pH tolerances for prepared digestive fluids. Solution pH Tolerance Solution pH Tolerance
Saliva 6.5 +/- 0.5 Duodenal 7.4 +/- 0.2
Gastric 1.0 +/- 0.1 Bile 8.0 +/- 0.2
Table 2. Summary statistics for trace elements (mg kg-1), major element oxides (%), pH and LOI, n = 6,862 (Palmer et al., 2013).
Ni V Cr MgO Al2O3 SiO2 P2O5 SO3 CaO MnO Fe2O3 pH LOI
Min 1.40 5.90 4.10 0.50 3.50 13.8 0.05 0.00 0.30 0.00 0.30 2.83 1.01
Max 334 402 1229 5.80 17.2 87.9 1.70 2.00 16.3 15.0 42.2 7.68 98.0
Mean 46.2 99.6 131 1.45 10.6 49.6 0.26 0.18 1.15 0.08 4.65 4.74 23.4
Median 29.1 85.0 94.1 1.30 11.4 54.1 0.25 0.10 0.85 0.06 4.19 4.82 12.9
StdDev 48.7 65.0 121 0.66 2.98 15.0 0.11 0.24 0.78 0.26 2.85 0.74 25.2
Table 3. Geostatistical summary of trace elements, oxides, pH and LOI. Cx = maximum variance accounted for by spatial function, C0 = nugget variance not explicable within defined range of spatial function, a = maximum range of spatial dependence between sample locations in meters, Total Cx = C0 + C1 + C2. Large C0: Total Cx ratios suggest micro-scale processes may influence spatial distributions (Einax and Soldt, 1999). Variable C0 C1 C2 a1 a2 Total Cx C0/Total Cx (%)
Ni 262.1 756.3 1885 9038 76,595 2903 9.0
V 697.8 1257 3014 13,816 74,194 4969 14.0
Cr 2223 11,604 3064 86,790 7038 16,891 13.2
MgO 0.02 0.12 0.02 1029 1872 0.16 12.5
Al2O3 3.46 3.40 1.86 45,354 6720 8.72 39.7
SiO2 30.57 81.98 132.4 80,301 9927 245.0 12.5
P2O5 0.006 0.004 -- 17,233 -- 0.01 60.0
SO3 0.04 0.02 -- 36,438 -- 0.06 67.7
CaO 0.32 0.51 -- 177,902 -- 0.83 39.5
MnO 0.06 0.03 -- 31,404 -- 0.09 67.7
Fe2O3 2.71 6.86 -- 96,708 -- 9.57 28.3
pH 0.27 0.09 0.29 176,782 21,738 0.65 41.5
LOI 155.9 105.1 379.6 33,006 7886 640.6 24.3
���
Tab
le 4
. Ni,
V a
nd C
r ga
stri
c bi
oacc
essi
bilit
y (B
AF
= %
of
tota
l con
cent
ratio
n; m
g kg
-1 =
abs
olut
e m
easu
red
bioa
cces
sibl
e co
ncen
trat
ion)
acr
oss
stud
y ar
ea
��
and
by e
ight
gen
eric
bed
rock
type
s ac
cord
ing
to c
ombi
ned
2013
and
200
9 U
BM
ext
ract
ion
data
(B
arsb
y et
al.,
201
2).
Bol
d te
xt in
dica
tes
occu
rren
ce o
f ��
max
imum
and
min
imum
val
ues
from
ful
l stu
dy s
et.
Gab
bro
excl
uded
due
to s
mal
l sam
ple
size
. ��
Fu
ll St
udy
Set
Bas
alt n
= 2
9 Sa
ndst
one
n =
16
Psam
mite
& S
emi-
Pelit
e n
= 2
2 C
ongl
omer
ate
n =
6
BA
F M
ean
Med
M
ax
Min
M
ean
M
ed
Max
M
in
Mea
n M
ed
Max
M
in
Mea
n M
ed
Max
M
in
Mea
n M
ed
Max
M
in
Ni
12.4
15
.2
46.3
1.
4 12
.1
8.2
43.8
1.
4 15
.2
15.2
24
.4
5.6
12.8
8.
2 46
.3
4.7
7.6
7.5
9.9
5.5
V
8.3
7.1
23.1
1.
4 11
.3
10.3
22
.5
3.8
9.8
8.6
23.1
5.
5 7.
3 6.
3 15
.5
1.4
7.1
6.6
10.6
4.
7 C
r 1.
2 1.
0 5.
4 0.
03
1.5
1.4
5.4
0.4
0.85
1.
0 1.
3 0.
05
1.1
1.1
2.7
0.03
1.
3 1.
3 1.
8 0.
8
Gra
nite
n =
7
Lim
esto
ne n
= 1
9 M
udst
one
n =
23
Lith
ic A
reni
te n
= 1
6 Fu
ll St
udy
Set m
g kg
-1
BA
F
Mea
n M
ed
Max
M
in
Mea
n
Med
M
ax
Min
M
ean
Med
M
ax
Min
M
ean
Med
M
ax
Min
M
ean
Med
M
ax
Min
N
i 13
.2
9.3
28.3
3.
0 14
.4
12.9
35
.8
3.6
13.3
10
.3
33.6
4.
1 9.
3 6.
6 42
.2
3.0
3.8
2.4
30.7
0.
3 V
8.
8 7.
8 13
.1
6.7
6.0
5.5
14.1
1.
9 8.
4 6.
7 22
.0
2.5
6.5
5.0
16.7
2.
6 7.
4 5.
1 52
.1
0.6
Cr
1.7
1.7
2.6
0.7
1.1
1.0
2.1
0.6
0.9
0.9
1.6
0.2
1.3
1.2
2.8
0.7
1.5
1.0
10.0
0.00
4
��
��
�
�
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��
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Table 5. Eigenvalues greater than 1 explaining variance for component loadings. Component Value % Variance Cumulative % Value % Variance Cumulative %
All Northern Ireland, n = 6862 UBM Study Set, n = 145
1 5.87 45 45 6.06 34 34 2 3.13 24 69 5.10 28 623 1.34 10 79 1.55 9 714 -- -- -- 1.46 8 79
Table 6. Eigenvalue factor loadings for identified principal components in Table 5. MnO not identified as significant variable within UBM study set. Bold values indicate factor is most strongly weighted to indicated component, underlined values show where a large amount of remaining factor variance is accounted for by a secondary component.
Variable Component
1 2 3 1 2 3 4
All NI, n=6862 UBM Study Set, n=145 V 0.742 -0.534 0.114 0.807 -0.342 0.224 -0.116
Ni 0.631 -0.688 0.138 0.750 -0.478 0.019 -0.360
Cr 0.770 -0.399 0.136 0.857 -0.224 -0.087 -0.175
MgO -0.511 -0.680 0.010 -0.299 -0.685 0.004 -0.426
Al2O3 -0.843 -0.200 -0.340 -0.689 -0.497 -0.386 -0.064
SiO2 -0.747 0.174 -0.521 -0.646 -0.201 -0.662 0.121
P2O5 -0.620 -0.436 -0.362 -0.388 -0.617 -0.430 0.045
SO3 -0.875 -0.395 0.155 -0.649 -0.712 0.143 0.093
CaO -0.385 -0.713 0.090 -0.097 -0.780 0.129 -0.018
MnO 0.565 -0.422 -0.512 -- -- -- --
Fe2O3 0.401 -0.670 -0.249 0.443 -0.435 -0.049 -0.330
pH 0.631 0.038 -0.523 0.555 0.036 -0.531 -0.092
LOI -0.787 -0.438 0.358 -0.556 -0.644 0.436 0.089
G V -- -- -- 0.348 -0.634 0.280 0.512
GI V --� -- -- 0.397 -0.404 -0.127 0.765 G Ni --� -- -- 0.240 -0.866 0.043 -0.016
GI Ni --� -- -- 0.433 -0.719 -0.193 -0.077
G Cr --� -- -- 0.855 0.100 -0.162 0.120
GI Cr --� -- -- 0.691 -0.001 -0.219 0.283
���
��������
• Two soil-geochemical factors were identified accounting for 69% of total variance
• Low chromium bioaccessible fractions were linked to basalt bedrock factors
• Bioaccessible nickel was associated with peat and calcareous soil components
• The median vanadium bioaccessible fraction was 7%; chromium 1% and nickel 15%