Reductive dehalogenation of halomethanes in iron- and sulfate-reducing sediments. 1. Reactivity pattern analysis.
The incorporation of reductive transformations into environmental fate models requires the characterization of natural reductants in sediments and aquifer materials. For this purpose, reactivity patterns (range and relative order of reactivity) for a series of 14 halogenated methanes were measured in iron- and sulfate-reducing sediments and two representative model systems: adsorbed Fe(II)/goethite [Fe(II)ads/alpha-FeOOH] and iron sulfide (FeS). Both Fe(II)ads and FeS are naturally occurring reductants. The strong similarity in reactivity patterns between the iron- and sulfate-reducing sediments suggests that the two share a common reductant despite their different chemical compositions (i.e., the sulfate-reducing sediment contained FeS). An orthogonal regression analysis of the halomethane transformation rate data in the sediment and model systems supports the assumption that a common mechanism for halomethane transformation exists between the sediments and the Fe(II)ads/alpha-FeOOH system and further corroborates the conclusion that Fe(II) adsorbed to Fe(III)-containing minerals is the dominant reductant in both sediment systems. Weak (0.5 N) and strong (6.0 N) acid extraction of the sediments indicated that solid-phase Fe(II) was 67% higher in the sulfate-reducing sediment than in the iron-reducing sediment, which is consistent with the observations that the halomethanes were transformed a factor of 3 times faster in the sulfate-reducing sediment and that Fe(II) was the dominant reductant.
Kenneke
John F
JF
National Exposure Research Laboratory, U.S. Environmental Protection Agency, 960 College Station Road, Athens, Georgia 30605, USA.
Weber
Eric I
EI
D000327:Adsorption; D004784:Environmental Monitoring; D005296:Ferrous Compounds / Q000737:chemistry*; D019015:Geologic Sediments / Q000737:chemistry*; D006863:Hydrogen-Ion Concentration; D008697:Methane / Q000032:analysis / Q000737:chemistry*; D008962:Models, Theoretical; D010084:Oxidation-Reduction; D012044:Regression Analysis; D016999:Sulfur-Reducing Bacteria / Q000502:physiology*; D014873:Water Pollutants / Q000032:analysis*
D005296:Ferrous Compounds; D014873:Water Pollutants; D008697:Methane