Difference between revisions of "Compound Specific Isotope Analysis (CSIA)"

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Equation 1 can be rearranged to produce Equation 3<ref name = "Hunkeler2008"/>:
 
Equation 1 can be rearranged to produce Equation 3<ref name = "Hunkeler2008"/>:
  
::'''Equation 3:'''&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<big>''f'' = ''e''<sup>(''δ''<sup>13</sup>C<sub>groundwater</sub> - ''δ''<sup>13</sup>C<sub>source</sub>) '''/''' ''ε''</big>  
+
::'''Equation 3:'''&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<big>''f'' = ''e''</big><sup>(''δ''<sup>13</sup>C<sub>groundwater</sub> - ''δ''<sup>13</sup>C<sub>source</sub>)<big> '''/''' ''ε''</big></sup>  
  
 
where ''δ''<sup>13</sup>C<sub>groundwater</sub> is the measure of the isotope ratio in the organic contaminant in the sample of groundwater, ''δ''<sup>13</sup>C<sub>source</sub> is the isotopic ratio in the un-fractionated organic contaminant before biodegradation has occurred, and epsilon (''ε'') is the stable isotope enrichment factor, defined as  
 
where ''δ''<sup>13</sup>C<sub>groundwater</sub> is the measure of the isotope ratio in the organic contaminant in the sample of groundwater, ''δ''<sup>13</sup>C<sub>source</sub> is the isotopic ratio in the un-fractionated organic contaminant before biodegradation has occurred, and epsilon (''ε'') is the stable isotope enrichment factor, defined as  

Revision as of 20:49, 21 October 2019

Compound specific isotope analysis (CSIA) usually refers to measurement of the isotope ratios (typically, the stable isotope ratios of carbon, hydrogen, oxygen, nitrogen, sulfur or chlorine) of individual volatile and semi-volatile compounds extracted from complex environmental mixtures. These compounds (or their derivatization products) are generally separable by conventional gas or liquid chromatography and amenable to high-temperature oxidation or pyrolysis to produce simple gases (H2, CO2, CO, N2, O2, SO2, CH3Cl) suitable for analysis by a gas-source isotope-ratio mass spectrometer. The CSIA methodology provides a quantitative means to differentiate reaction pathways for abiotic and biotic degradation, including different pathways of biodegradation, and may serve as a basis for identification of distinct pollutant sources. CSIA can also provide a powerful line of evidence for monitored natural attenuation of sites contaminated with a wide variety of common organic pollutants including petroleum hydrocarbons, fuel oxygenates, BTEX, chlorinated solvents, and nitroaromatics.

Related Article(s):


CONTRIBUTOR(S): Dr. Barbara Sherwood Lollar, F.R.S.C.


Key Resource(s):

Introduction

Compound Specific Isotope Analysis (CSIA) refers to measurement of the isotope ratios (typically carbon, hydrogen, oxygen, nitrogen, sulfur or chlorine) of individual organic compounds extracted from complex environmental mixtures. The approach was developed initially during the post-WWII era for application to source rock identification and hydrocarbon exploration, and remains a foundation of the oil and gas industry. In the 1980s, John M. Hayes at Indiana University Bloomington and collaborators[2][3] introduced the era of continuous flow compound specific mass spectrometry by interfacing a gas chromatograph via a sample preparatory oxidation system to a stable isotope ratio mass spectrometry system, which lowered detection limits by up to 5 orders of magnitude and reduced analytical and sample preparation time. This continuous flow technique allowed CSIA to become widely applied by providing the ability, with instrumentation that became commercially available around 1990, to measure stable isotope ratios for compounds of environmental concern at various spatiotemporal scales in environmental chemistry, biogeochemistry, and contaminant hydrogeology.

The CSIA Method

The first isotope ratio to which CSIA was widely applied was that of carbon’s stable isotopes. The element carbon has two stable isotopes, 12C and 13C. Typically occurring under natural conditions in the ratio of 99:1, the small relative differences in the ratio of 13C/12C for a given compound provide a wealth of information relevant to the investigation and remediation of contaminated sites and the environment[1]. The measured 13C/12C ratio is normalized with respect to international isotopic standard reference materials and expressed in delta notation (e.g. δ13C), in units of permil (parts per thousand or per mille). Isotopic standard reference materials for stable isotope ratio measurements of carbon and other light elements (H, N, O, S, Cl and others) have been administered since the 1950s through several sources including the International Atomic Energy Agency, the National Institute of Standards and Technology and the U.S. Geological Survey. All stable isotope laboratories worldwide must report their isotopic data normalized to the appropriate standard reference materials to ensure global consistency and inter-comparability of results[1].

Applications to Environmental Remediation and Restoration – Forensics

Both naturally sourced contaminants (e.g., petroleum hydrocarbons) and man-made industrial organic contaminants (e.g., organochlorides, chlorofluorocarbons (CFCs), nitroaromatics, and gasoline additives such as methyl tert-butyl ether (MTBE)) can have distinct isotopic compositions due to differences in the raw materials and industrial synthesis processes used in their manufacture. This provides the basis for using CSIA as a forensic science tool[4]. Different contamination sources or different spills from the same source may have distinct isotopic compositions that can be used to apportion responsibility in a mixed contaminant plume, such as in a situation where there is off-site migration and impact. In many cases, knowledge of the isotopic composition of the initial spill material is not available, but the forensic utility of the isotope ratios does not depend on that precondition. Distinguishing between potential source areas at a site can be done by comparing isotopic data from different areas of the site in the context of the geologic and hydrogeologic conceptual models to test source zone apportionment [1]. Although there may be significant overlap in isotopic compositions, successful forensic applications have taken advantage of the additional constraints afforded by coupling carbon isotope ratio measurements with other isotopes (usually hydrogen, nitrogen and/or chlorine isotope ratios)[1][5][6][7][8][9][10][11][12][13].

Quantifying and Monitoring Remediation Processes

Abiotic and biotic degradation reactions that transform contaminant compounds in the environment generally affect their isotopic compositions in systematic ways. This overall process is called isotope fractionation and is the key to CSIA providing insight and information on transformation pathways[14]. While both degradative (e.g. chemical or biological transformation of contaminant to degradation products) and non-degradative processes (e.g. phase changes such as volatilization, sorption, diffusion) have the potential to result in carbon isotope fractionation, to date the largest fractionation signals are related to degradative processes in which bonds are broken[1]. This results from the kinetic isotope effect and the fact that bonds involving a heavy stable isotope (e.g. 13C-12C bond) have a lower zero-point energy and a larger activation energy than bonds containing exclusively light isotopes (e.g. 12C-12C bond). Effectively this means that the rate of transformation of molecules containing exclusively light isotopes at the reactive site is faster than the rate of transformation of compounds containing a heavy isotope at the reactive site [14].

CSIA Signals of Transformation and Remediation

The net outcome of isotope fractionation is that a contaminant that has been undergoing degradation can provide a significant signal of transformation, as its isotopic composition generally (but not always) increases to heavier values as a function of reaction progress[15][16][17]. The obvious corollary is that the products of degradation will generally be preferentially enriched in the lighter isotopes relative to the instantaneous isotopic composition of the parent compound from which they are derived. This principle holds for both chemical transformation and biologically mediated transformation reactions, and the principles described above apply to other elements such as hydrogen, nitrogen, oxygen, sulfur, and chlorine as well. The largest isotope effects have always been found at the reactive sites where bonds are broken or formed.

Laboratory experiments have shown that not only does fractionation during transformation provide a strong signal of degradation, but also that the signal is highly reproducible[1]. For many organic contaminants of interest, the relationship between the change in isotopic composition and the degree of degradation is governed by a quantitative relationship – the Rayleigh equation[18]. Specifically, for a given compound and degradation pathway or mechanism, the measured difference in isotopic composition can be quantitatively related to the extent of transformation (e.g. fraction or percentage of contaminant remaining) by the equation:

Equation 1:      Rt = R0 f (α -1)

where Rt is the stable isotope ratio (13C/12C) of the compound at time t, R0 is the initial isotope ratio of the compound and f is the fraction of contaminant remaining where f = 1 at t = 0 and decreases to f = 0 when the reactant compound is fully transformed to products. The stable isotope fractionation factor (α) is defined as

Equation 2:      α = (1000 + δ13Ca)/(1000 + δ13Cb)

Subscripts a and b may represent a compound at time zero (t0) and at a later point (t) in a reaction; or a compound in a source zone, versus a compound in a downgradient well for instance.

Equation 1 can be rearranged to produce Equation 3[1]:

Equation 3:      f = e(δ13Cgroundwater - δ13Csource) / ε

where δ13Cgroundwater is the measure of the isotope ratio in the organic contaminant in the sample of groundwater, δ13Csource is the isotopic ratio in the un-fractionated organic contaminant before biodegradation has occurred, and epsilon (ε) is the stable isotope enrichment factor, defined as

Equation 4:      ε = (α -1) * 1000

Implications for Remediation

The quantitative relationships controlling carbon isotope fractionation during transformation means that CSIA not only provides a signal of whether transformation is taking place, but can provide a quantitative measure of the extent of transformation independent of conventional metrics based on changes in concentration. In some cases, due to signal sensitivity, changes in stable carbon isotope fractionation can be identified in advance of definitive reduction in contaminant concentrations, or before appearance of daughter products, providing an “early warning system” for confirmation of remediation[19]. This is particularly advantageous for field studies since changes in contaminant concentration result not only from transformation processes, but from contaminant transport and dispersal. For this reason, decreasing concentrations of contaminants alone are insufficient evidence that a site is undergoing transformation towards clean-up goals[20][21]. In contrast, as transport and dispersal processes are largely neutral with respect to carbon isotope signals, a carbon isotope enrichment signal in the contaminants of concern provides a direct line of evidence that transformation is occurring and as outlined above, a second independent quantification of transformation rates that can provide constraints on conventional approaches to derive remediation rates and timelines[22][19][23].

CSIA provides additional value to environmental investigation and remediation – the ability to pinpoint which of a variety of possible degradation mechanisms may be dominating at a contaminated site – because the degree of fractionation is reaction specific. A specific example of this is 1,2-dichloroethane, an industrial chemical used in PVC production, production of furniture, upholstery and automobile parts and a common environmental contaminant of concern. Microbial biodegradation of this compound by in the environment is common, but different organisms degrade the compound via different pathways (e.g. involving a C-Cl bond cleavage, or a C-H bond cleavage). As a result, CSIA can be used to positively identify which of the two biodegradation pathways is operative at a site – information that can be critical to optimizing a remediation strategy[24][25]. In other examples, CSIA has been a critical tool in deciphering the biodegradation potential and remediation mechanisms for benzene[5][26][27][28], methyl tert-butyl ether (MTBE)[9][29][30][8] and other priority pollutants. In related applications, where abiotic and biotic transformation of a compound occurs via different pathways and mechanisms, CSIA can contribute to differentiating between the relative contributions of chemical versus biological transformation[31][32].

Not all transformation processes result in significant fractionation. Fractionation factors can be small to non-existent simply due to the decreased significance of fractionation related to one carbon in a molecule with many carbon atoms (naphthalene paper), or due to the highly stable nature of, for instance, carbon atoms in an aromatic ring structure[33]. In such cases the development of models to determine intrinsic versus apparent kinetic isotope effects[34]; use of multi-isotope analysis (2D or 3D)[12] or novel techniques related to position specific isotope analysis targeted to specific individual atoms on the compound[35][36][37] can be applied. The presence of additional rate-limiting steps in the transformation reaction can suppress the observed fractionation in ways which may complicate the above quantification of transformation governing Equation 1, yet yield other important information for instance about transport effects[38] or the efficiency of the enzymes involved in biodegradation[39][40].

Summary

Applications of CSIA are dependent on background information about the degree of fractionation associated with a specific chemical reaction or biodegradation pathway. While fractionation can be calculated ab initio (from the beginning), fractionation factors are typically empirically derived from laboratory experiments and other approaches. Recent guidance documents and review papers provide an essential resource with database compilations of this knowledge to date[41][1].

References

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See Also