This document describes a method for determining the stable isotope ratios (d18O and d13C) of water and dissolved inorganic carbon using an elemental analyzer coupled to an isotope ratio mass spectrometer. Small amounts of water sample are equilibrated with CO2 gas in sealed vials. The headspace CO2 is then injected into the elemental analyzer for analysis. The method requires only a simple modification to the elemental analyzer and provides precise results without extensive offline sample preparation. Reproducible results with a precision of better than 0.2% can be obtained for both water isotope and dissolved inorganic carbon ratios using this coupled approach.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
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Validated applications determining whole blood levels are generally performed using graphite furnace atomic absorption spectroscopy (GFAAS). GFAAS is cost effective, allows for detection limits well under the blood-lead level action guideline, and requires less operator training than more advanced elemental techniques.2 In this study, we will demonstrate the applicability of the PerkinElmer® PinAAcle™ 900T atomic absorption spectrometer (Figure 1) using the stabilized temperature platform furnace (STPF) and transversely-heated graphite atomizer (THGA), for use in customer-validated applications to determine lead amounts in blood samples.
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The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Using THGA and Zeeman Background Correction for Blood-Lead Determination in C...PerkinElmer, Inc.
Validated applications determining whole blood levels are generally performed using graphite furnace atomic absorption spectroscopy (GFAAS). GFAAS is cost effective, allows for detection limits well under the blood-lead level action guideline, and requires less operator training than more advanced elemental techniques.2 In this study, we will demonstrate the applicability of the PerkinElmer® PinAAcle™ 900T atomic absorption spectrometer (Figure 1) using the stabilized temperature platform furnace (STPF) and transversely-heated graphite atomizer (THGA), for use in customer-validated applications to determine lead amounts in blood samples.
Learn more about our solutions: http://bit.ly/IG2kI1
The slickwater stimulation of unconventional gas and oil shale plays creates flowback water with a composition that is unique to particular shale formations. Characteristically, these fluids contain high concentrations of salts (e.g., chloride, bromide) which are routinely determined using ion chromatography. This analysis typically requires sample preparation, including manual dilution, which can significantly increase the cost of analysis. Results presented will show highly reproducible determination of anions and cations from Marcellus Shale flowback water using inline conductivity to identify high salt samples and then automatically diluting them prior to injection, saving time and column life.
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Scale Stopper - Saltless Water "Softener" & Chlorine Removal SystemsClean Water Systems
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The slickwater stimulation of unconventional gas and oil shale plays creates flowback water with a composition that is unique to particular shale formations. Characteristically, these fluids contain high concentrations of salts (e.g., chloride, bromide) which are routinely determined using ion chromatography. This analysis typically requires sample preparation, including manual dilution, which can significantly increase the cost of analysis. Results presented will show highly reproducible determination of anions and cations from Marcellus Shale flowback water using inline conductivity to identify high salt samples and then automatically diluting them prior to injection, saving time and column life.
Abstract— The water quality was studied for selected samples from groundwater and network water-supply. The values of NH3, NO3-, pH, TDS, alkalinity, hardness, Pb, Cd, Fe3+ and Mn2+ were estimated. Ammonia values ranged between 0.07-0.7 ppm. Nitrate values ranged between 2.4 and 0.35 ppm. The TDS was between 645 ppm and 480 ppm. For Fe3+ and Mn2+ the values are below the limits of WHO except for well 9; and manganese in wells 6-10. Several wells showed values of Cd above the Saudi STD. The network water-supply in Tabuk city was investigated. The TDS values for these samples were between 500-600 ppm. The hardness values exceed the Saudi STD limit. When ammonia was tested, only one sample showed high value. Chloride level was below 158 ppm, but sulfate values for most samples were 128-222 ppm. For iron only one sample (well no. 9) was above the permissible limit.
Quick Reference Guide to Compendial Water Standards Jesse McLaughlin
What makes pharmaceutical water different? What are the major "contaminants" we are trying to remove? How do we do it? Aqua-Chem can help with the right solution to your Pharmaceutical compdendial water needs.
Listing and details on the different elution methods (e.g., EECCC, BECCC, Dual mode, recycling mode) that can be implemented in countercurrent chromatography.
Scale Formation problems in Oil & Gas Industry : Its reduction procedures by ...Sachin Nambiar
This paper is a literature review on methods to control scale formation using various chemicals; and its economic feasibility in the petroleum industry.
Influence of temperature and concentration onthe dynamic viscosity of sodium hypochlorite incomparison with 17% EDTA and 2% chlorhexidinegluconate: An in vitro study
Scale Stopper - Saltless Water "Softener" & Chlorine Removal SystemsClean Water Systems
- Treats up to 12 GPM, 16 GPM, 20 GPM, and 30 GPM of service flow
- Green Alternative to Conventional Water Softening: no salt added and no waste water generated
- Unlike regular water softeners no sodium is added to the water.
- When the inlet water goes into the water conditioner tank, the Scale Stopper media acts as a catalyst and pulls the hardness minerals of calcium and magnesium out of the solution and transforms these minerals into inactive Nano crystal particles.
- Because the hardness minerals have been transformed into Nano particles, Nanoscopic particles make their way through plumbing systems without attaching to pipes, fixtures, valves, or heating elements.
Read more: http://www.cleanwaterstore.com/mm5/merchant.mvc?
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This application note demonstrates that the PerkinElmer TurboMatrix™ Thermal Desorber and the PerkinElmer Clarus® SQ 8 GC/MS will meet and exceed the criteria set forth in EPA method TO-17. Detailed instrument method parameters are presented, with precision, recovery, linearity and detection limit results.
Analysis of Volatile Organic Compounds (VOCs) in Air Using U.S. EPA Method TO-17PerkinElmer, Inc.
EPA Method TO-17 is used to determine toxic compounds in air after they have been collected onto sorbent tubes. These tubes can either adsorb specific compounds or adsorb a broad range of compounds, quantitatively. Adsorbent tubes have many applications in the investigation of volatile organic compounds (VOCs) found in EPA Method TO-17. Examples include indoor air, fence line, stack, workplace, personal monitoring and soil gas. The type of tube used, and whether the sampling is passive or active, depends upon the need at the particular site being investigated. This application note demonstrates that the PerkinElmer TurboMatrix™ Thermal Desorber and the PerkinElmer Clarus® SQ 8 GC/MS will meet and exceed the criteria set forth in EPA method TO-17. Detailed instrument method parameters are presented, with precision, recovery, linearity and detection limit results.
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Heat exchange characteristics between hot and cold water as well as cold air and hot water have been investigated in a finned tube heat exchanger. The exchanger was operated in both parallel and counter-flow modes. For water-water heat exchange, the tube side (hot water) fluid flow rate was varied to observe the effects on heating the cold water. Conversely, for air-water system, the shell side (cold air) flow rate was varied to evaluate the cooling effectiveness of air in the finned tube exchanger. COMSOL Multiphysics 5.6 was used to simulate the system in 3-D mode, and the temperature profiles along with heat flux and velocity streamlines were evaluated. The NTU and effectiveness for varying fluid flow rates for both water-water and air-water systems were calculated. NTU values were considerably higher for air-water heat exchange and showed a decreasing trend with increasing fluid flow rate. To ascertain the reliability of the simulation models, the experimental and simulated results were compared. To evaluate the performance of the fins, the fin efficiencies and effectivenesses were calculated and the values were notably higher in case of air-water system. This is consistent with established literature. Also, increasing shell-side fluid flow rate led to a reduction in fin efficiency and effectiveness, which is again consistent with literature.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Similar to #2 determination of o 18 of water and c-13 of dic using simple modification of ea-irms (20)
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
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Anarchist group ANA Regensburg hosted my online-presentation on 16th of May 2024, in which I discussed tactics of anti-war activism in Russia, and reasons why the anti-war movement has not been able to make an impact to change the course of events yet. Cases of anarchists repressed for anti-war activities are presented, as well as strategies of support for political prisoners, and modest successes in supporting their struggles.
Thumbnail picture is by MediaZona, you may read their report on anti-war arson attacks in Russia here: https://en.zona.media/article/2022/10/13/burn-map
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https://memopzk.org/, https://t.me/pzk_memorial
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Russian Reader
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Send mail to prisoners from abroad:
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Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
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Presentation by Jared Jageler, David Adler, Noelia Duchovny, and Evan Herrnstadt, analysts in CBO’s Microeconomic Studies and Health Analysis Divisions, at the Association of Environmental and Resource Economists Summer Conference.
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#2 determination of o 18 of water and c-13 of dic using simple modification of ea-irms
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To the Editor-in-Chief
Sir,
Determination of d18
O of water and
d13
C of dissolved inorganic carbon
using a simple modification of an
elemental analyzer/isotope ratio mass
spectrometer: an evaluation
Both the stable carbon isotope ratio of
dissolved inorganic carbon (d13
CDIC)
and the oxygen isotope ratio of water
(d18
OW) can provide valuable infor-
mation. For example, d13
CDIC values of
estuarine waters can help decipher
biogeochemical cycling,1–3
whereas
the d18
OW can be important for under-
standing d18
O values of carbonates as a
temperature proxy4
or for tracing
water masses.5
Traditionally, samples
for d13
CDIC and d18
OW determination
have been measured as CO2 purified
off-line in glass extraction lines after
acidification (in the case of DIC) or
equilibration of CO2 with the water to
be analyzed, before being measured on
a dual-inlet isotope ratio mass spec-
trometer (IRMS).1,5
A variety of prep-
aration techniques have since been
developed for d13
CDIC (recently
reviewed in Atekwana and Krishna-
murthy6
) and d18
OW determinations.7,8
Although many of these newer tech-
niques avoid the use of extensive glass
extraction lines, they often require
expensive peripherals in addition to
the most common elemental analyzer
(EA)-IRMS setup (e.g., St-Jean,9
Torres
et al.,10
Spötl11
and Seth et al.12
) or
require significant modifications to the
IRMS such as sample loop systems (e.g.
Prosser et al.8
and Salata et al.13
). We
report herein the evaluation of a
previously unpublished, but widely
used,2,3,14
adaptation of an EA-IRMS
setup which enables the determination
of d13
CDIC and d18
OW. The approach
differs slightly from those described by
Prosser et al.8
and Salata et al.,13
but
requires substantially less hardware
modifications for most IRMS labora-
tories, and is therefore generally inex-
pensive to implement. These methods
basically involve the injection of CO2
from a sample headspace, obtained
after acidification of water samples for
d13
CDIC or equilibration of small water
samples with CO2 for d18
OW, into the
He flow of an EA-IRMS setup. The
method is robust and standard devi-
ations (1s) better than 0.2% can
easily be achieved. We provide data
from in-house standards as well as
natural fresh and salt water samples.
The setup described here is a Flash
1112 Series EA coupled via a Conflo III
to a ThermoFinnigan DeltaþXL con-
tinuous flow (CF)-IRMS (Bremen,
Germany). The only modification
required is the installation of an
injection port in the He carrier gas
line, between the reduction column
and the water trap. Since we inject the
samples after the EA reactors, the oven
temperatures for the reactors were set
to lower temperatures than when
operating for sample combustions
(i.e. our standby settings are 8008C
for the combustion column and 5008C
for the reduction column). The gas
chromatography (GC) column was
held at 508C, the water trap was filled
with magnesium perchlorate, and the
He flow was set at approximately
90 mL/min. The IRMS was run under
the Isodat v2.0 software, and the
method events consisted of three
reference CO2 pulses, up to four
sample peaks (in principle, from
different vials rather then multiple
injections from a single sample head-
space) at approximately 2–3 min inter-
vals, followed by one or two final CO2
reference pulses to correct for drift.
Thus, four samples (generally two
samples in duplicate) can be analyzed
in approximately 15 min (for either
d18
OW or d13
CDIC).
Water samples for d18
O analysis
were collected by filling 100 mL poly-
ethylene containers and adding 60 mL
of a saturated HgCl2 solution. Contain-
ers were capped tightly, the seal
wrapped with Parafilm to avoid evap-
oration, and were stored at room
temperature. Water samples for deter-
mination of d13
CDIC were sampled by
gently over-filling headspace vials (25,
20, 10, 6 or 2 mL) with water. Vials
were rinsed with sample water three
times before sampling. A volume of 10
to 60 mL of a saturated HgCl2 solution
was added (depending on vial size)
and the vials were capped and stored
at room temperature until analysis.
Alternatively, samples for d13
CDIC
determination may be injected into
He-flushed vials.
The procedure for measuring d18
OW
is modified from Prosser et al.8
and is
both easier and faster than traditional
off-line methods. The approach is
similar to existing off-line methods,
except that equilibration and gas
extraction are done directly in a gas-
tight headspace vial and only 0.5 mL of
sample is required. Headspace vials
(12 mL) are first flushed with He gas
and are capped with a rubber septum
and aluminum seal; alternatively, Exe-
tainer vials (Labco, High Wycombe,
UK) may be used. Approximately
500 mL of sample water is injected into
the vial, and then 200 mL of pure CO2
from a tank is injected using a gas-tight
syringe. The samples are then placed in
a shaker for 2 h and left to equilibrate
for about 24 h (for freshwater samples)
or about 48 h (for seawater samples) at
ambient laboratory temperature
(238C, in a climate-controlled room).
This is more than enough time to
compensate for the salt effect on the
kinetics of the CO2–H2O isotopic
exchange equilibrium, which has been
determined to be three times longer in
saltwater than in freshwater (or at least
24 h).15
In each batch of samples
described here, two in-house second-
ary standards (previously calibrated
against the water standards: VSMOW,
GISP and SLAP, see Table 1) were
similarly processed: one seawater
(SW1) and one tapwater standard
(TAP0409, see Table 1). Table 1 also
presents results on two other in-house
seawater standards (NWS and NWSG)
which had been prepared in a different
context. After equilibration, 1000 mL
of CO2 is drawn from the headspace
into a gas-tight syringe that has
previously been flushed with He,
and is injected into the injection
port on the EA-IRMS setup. The
RCM
Letter to the Editor
RAPID COMMUNICATIONS IN MASS SPECTROMETRY
Rapid Commun. Mass Spectrom. 2007; 21: 1–4
Published online in Wiley InterScience (www.interscience.wiley.com) DOI: 10.1002/rcm.2968
Copyright # 2007 John Wiley Sons, Ltd.
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uncorrected data, obtained using the
d18
O value of the tank CO2 gas, are
available in Table 1. All data are
expressed in % relative to VSMOW
(0.0%) on a scale normalized so that
SLAP is exactly –55.5%.16
The pre-
cision was better than 0.15% (1s),
determined by repeated analyses of
the seawater and tapwater standards
and replicate sample analyses
(Table 1). This precision is similar to
or better than was obtained using
traditional off-line methods (i.e.
0.2%).
A modified version of the method
described by Salata et al.13
was used for
d13
CDIC analysis. For vials filled to the
top, a headspace was first created by
inserting an empty, fully depressed,
10 mL syringe and needle through the
septum, then inserting a needle
attached to a He bottle at a pressure
of 1–1.5 bar, until the required volume
of water has been replaced (typically
20% of the total volume of the vial,
but with a minimum of at least 1.5 mL
headspace for small vial types). After
the He supply line had been removed,
the pressure was equalized in the other
syringe. Once the headspace had been
created (or for vials where the
sampling procedure already created a
headspace), warm 85% phosphoric
acid was added (typically 500 mL
for vials 10 mL and 250 mL for vials
10 mL). Samples were placed upside
down in order to avoid contact
between headspace and septum,
thereby reducing the possibility of
exchange with atmospheric CO2,17
and allowed to equilibrate for several
hours in a sample shaker (generally
overnight). Salata et al.13
reported
that the results were stable after 16 to
36 h of equilibration time. A similar
experiment was carried out here with
24 replicate tapwater samples injected
between 1 and 57 h after acidification
and this showed that the samples
were within 0.15% of the mean bet-
ween 4 and 56.5 h (Fig. 1; Average ¼
12.41 0.07%, n ¼ 20). In addition, 22
other tapwater samples were injected
on four separate days and gave an
average d13
CDIC of 12.45 0.12%.
We also tested the effect of using
different vial sizes (2, 10, and 25 mL)
with similar tapwater samples, each
analyzed in duplicate or triplicate. The
standard deviation on these seven
samples was 0.05% (average d13
CDIC ¼
12.53%) and no sample deviated by
more than 0.1% from the overall mean.
This indicates that vial size is not an
important factor, but it should be noted
Table 1. Uncorrected water isotopic standards analyzed using the method
described here. All standard deviations (1s) are better than 0.15%. The data are
compared with the accepted values for the IAEA standards. All environmental data
are normalized so that SLAP is exactly 55.5%16
Standard Accepted d18
OVSMOW (%) Measured d18
OVSMOW (%) n
VSMOWa
0.0016
0.11 0.09 5
GISP 24.78 0.0918
24.70 0.06 4
SLAPa
55.516
54.76 0.06 3
TAP0409b
7.30 0.14 18
NWSb
7.36 0.10 9
NWSGb
7.66 0.12 9
SW1b
0.01 0.13 16
a
By definition.16
b
In-house standards.
-13.0
-12.9
-12.8
-12.7
-12.6
-12.5
-12.4
-12.3
-12.2
-12.1
-12.0
0 10 20 30 40 50 60
average ± SD of all
-12.42 ± 0.09 (n = 24)
average ± SD of 10h
-12.41 ± 0.07 (n = 16)
δ
13
C
(‰)
Equilibration time after acidification
Figure 1. d13
CDIC (VPDB) of 24 replicate tapwater samples equilibrated for different periods of time (1.3–56.5 h)
before injection into the EA-IRMS setup.
Copyright # 2007 John Wiley Sons, Ltd. Rapid Commun. Mass Spectrom. 2007; 21: 1–4
DOI: 10.1002/rcm
2 Letter to the Editor
3. U
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that our tapwater had high DIC
concentrations and therefore produced
a lot of CO2 after acidification. Samples
with less DIC (e.g. seawater) will
produce less CO2 and therefore may
not contain sufficient CO2 for injection
when using very small sample sizes
(2 mL or less). A minimum of 8 mL of
pure tank CO2 was needed to obtain an
acceptable signal in the IRMS (Table 2;
or 0.36 mmol of CO2 assuming stan-
dard pressure and temperature). The
d13
CDIC values obtained from the
seawater standard with lower DIC
concentrations were also very repro-
ducible (þ1.85 0.08%, n ¼ 5).
To correct for the partitioning of CO2
between headspace and the water
phase and to calculate the d13
C of the
total DIC, the equation of Miyajima
et al.17
was applied:
where b ¼ 0.872 at 238C (Ostwald
solubility coefficient); a
g is calcula-
ted from e¼ 373/T(K)þ 0.19 (thus,
a
g ¼ 1:07 at 238C); and Vbottle
and Vheadspace represent the internal
volumes of the sampling vial and head-
space, respectively.
These data were subsequently
further corrected using the calibra-
ted CO2 gas (from a tank), which
was injected periodically throughout
the analysis sequence (20 mL).
The CO2 used was calibrated using
a dual-inlet IRMS (DeltaþXL)
against NBS-19 (d13
C¼ þ1.95%, d18
O¼
2.20%16
). Typically, the standard
deviations of the d-values of this gas
were less than 0.1% for repeated
injections during a single day.
As there is no certified d13
CDIC
standard, our in-house seawater stan-
dard (SW1) was used to evaluate the
day-to-day variability of our method.
Furthermore, to test the precision and
accuracy of the method, a standard
was produced by dissolving Na2CO3
in Ar-purged natural seawater from
which all DIC had been previously
removed. The Na2CO3 powder was
also analyzed using an automated
carbonate device (ThermoFinnigan
Table 2. Injections of pure CO2; CO2 was drawn from the tank using a gas-tight
syringe and injected into the EA-IRMS setup. Average d13
C data (VPDB) from
injections of 10–20 mL of CO2 gas are 34.37 0.07%, n ¼ 21
Injection volume (mL) n Area (vs.) 1s d13
C(%) 1s
2 1 0.49 33.34
3 6 0.65 0.16 33.54 0.33
5 3 1.85 0.47 33.87 0.30
6 3 3.49 0.52 33.87 0.37
8 3 5.33 0.11 34.25 0.09
10 3 7.16 0.71 34.35 0.15
13 2 9.59 0.02 34.37 0.10
15 4 12.02 0.24 34.37 0.09
17 4 14.05 0.71 34.38 0.04
20 8 16.82 0.55 34.38 0.04
δ13
CDIC = 0.39 * S - 13.71
R2
= 0.94
-14
-12
-10
-8
-6
-4
-2
0
2 7 12 17 22 27 32
Salinity
δ
13
C
DIC
(‰)
δ
18
O = 0.08 * S - 2.28
R2
= 0.94
δ
18
O = 0.15 * S - 3.53
R2
= 0.96
-5
-4
-3
-2
-1
0
1
2
3
0 10 20 30 40
Salinity
δ
18
O
W
(‰)
Gazi
Gazi Year
Tana
NC
(Gazi)
(NC)
Figure 2. d18
OW (VSMOW) and d13
CDIC (VPDB) data from natural waters analyzed using the methods described here. Data in
the left panel are from Gazi Bay (Kenya), the Tana River (Kenya), and from Wade Creek (NC, North Carolina, USA). Data
labeled ‘Gazi’ were collected in July 2003 and data labeled ‘Gazi Year’ were collected monthly from June 2002 until July 2003.
Data from the Tana River were collected in April 2004 and NC data are from various times between December 2001 and August
2003. Data in the right panel are from Gillikin et al.2
and are taken from the Scheldt Estuary (The Netherlands) between
November 2001 and November 2002.
13
CDIC ¼
Vheadspace 13
Cmeasured þ ðVbottle VheadspaceÞ ð13
Cmeasured þ a
gÞ
Vheadspace þ ðVbottle VheadspaceÞ
Copyright # 2007 John Wiley Sons, Ltd. Rapid Commun. Mass Spectrom. 2007; 21: 1–4
DOI: 10.1002/rcm
Letter to the Editor 3
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Kiel III) connected to a dual-inlet
IRMS and calibrated versus NBS-19.
We observed a difference of 0.22%
between the d13
C value of the Na2CO3
solid measured using the Kiel III
(1.10 0.07%, n ¼ 8) and using the
injection technique for the d13
C value of
the Na2CO3 dissolved in seawater
(1.32 0.15%, n ¼ 12). This differ-
ence may be caused by exchange with
the atmosphere during preparation of
the standard, or could be due to an
inhomogeneity in the Na2CO3 powder.
Nevertheless, considering that these
means are within 2s of the analytical
precision of the method (1s ¼ 0.2%),
the sets of data can be considered
indistinguishable using this method.
Example data from estuarine waters
analyzed using the methods described
above are shown in Fig. 2. The
expected linear relationship between
salinity and d18
OW
5
can be seen in
samples from three sites [two in Kenya
(Gazi Bay and Tana River) and one in
North Carolina, USA (Wade Creek)].
The intercept of the higher latitude
data are more negative as would be
expected from Rayleigh distillation.
For the samples collected in Gazi Bay
(Gazi Year on Fig. 2), a single data
point (at salinity 8) plots off of the
regression line; we interpret this as
possibly resulting from an intense rain
event, since these are known to pro-
duce precipitation which is more
depleted in 18
O. The linear relationship
between salinity and d13
CDIC as illus-
trated here is not always observed, as
various processes may result in non-
conservative behavior of DIC along
estuarine mixing gradients3
(see Gilli-
kin et al.2
for more discussion on these
data).
In summary, this simple adaptation
of an existing EA-IRMS setup allows
for a fast, inexpensive and robust
technique for the analysis of d18
OW
and d13
CDIC, with reproducibility con-
sistently better than 0.2% for both
parameters. Both the d18
OW and the
d13
CDIC methods allow for the
measurement of 50 samples per
day, with very limited sample prep-
aration time.
The approach described here is
particularly suitable for estuarine
research where large changes in both
d18
OW and d13
CDIC can be expected
(Fig. 2) and for laboratories for which
an investment in dedicated, automated
peripherals is not warranted by the
amount of analyses performed.
Acknowledgements
We are indebted to Joop Nieuwenhuize
(NIOO-CEME, Yerseke, The Netherlands)
for introducing this method to us, to
Michael Korntheuer for laboratory assist-
ance, and to Jared Bosire for collecting
the water samples in Gazi Bay over a full
year (Gazi Year). This work was completed
for part of the PhD dissertation of DPG
at the Vrije Universiteit Brussel, Belgium.
Funding was provided to DPG by Belspo,
the Belgian Federal Science Policy Office,
Brussels, Belgium (CALMARS I II, con-
tracts EV/03/04B SD/CS/02A); the
ESF-Euroclimate PaleoSalt project funded
by the Research Foundation Flanders (con-
tract: G.0642.05); and a 2001 Grant-in-Aid of
Research from the National Academy of
Sciences, administered by Sigma Xi. S.B. is
funded by a postdoctoral mandate from
the Research Foundation Flanders (FWO-
Vlaanderen). We thank A. Verheyden and
two anonymous reviewers for comments on
earlier versions of this manuscript. This
is publication XXXX of the Netherlands
Institute of Ecology.
David P. Gillikin1*
and Steven Bouillon2,3
1
Department of Earth Science and
Geography, Vassar College,
Box 475, Poughkeepsie,
NY 12604, USA
2
Department of Analytical and Envir-
onmental Chemistry, Vrije Universiteit
Brussel, Pleinlaan 2, B-1050 Brussels,
Belgium
3
Netherlands Institute of Ecology,
Centre for Estuarine and Marine
Ecology (NIOO-CEME),
Korringaweg 7, 4401 NT Yerseke, The
Netherlands
*Correspondence to: Department of Earth
Science and Geography, Vassar College,
Box 475, Poughkeepsie, NY 12604, USA.
E-mail: dagillikin@vassar.edu
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DOI: 10.1002/rcm
4 Letter to the Editor