PubMed · 14620802
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Rachel Petkewich. 2003-11-01. Measuring knuckle cracks.. https://doi.org/10.1021/es032630h
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Organophosphate esters (OPEs), widely used as flame retardants and plasticizers, have been increasingly detected in aquatic environments. However, investigations of their distribution in high-altitude plateau lakes remain scarce. Identifying and quantifying the sources and associated risks of OPEs are crucial for subsequent water environment management. In this study, an integrated source-risk analysis approach was employed by combining the Positive Matrix Factorization (PMF) model, the Geodetector (GD) model, and risk quotient (RQ). Analysis of 14 OPEs in surface waters of the Dianchi Lake Basin (DLB) revealed 12 detectable compounds, with total OPEs concentrations (ΣOPEs) ranging from not detected (ND)-64.6 ng/L during the wet season and ND-35.8 ng/L during the dry season. Elevated ΣOPEs were primarily observed at inflow sites in the northern part of the lake and in urban rivers. Source apportionment indicated four major contributing sources: agricultural films containing flame-retardant and plasticizer additives, traffic-related particulate emissions, releases from household and personal care products, and industrial production and applications of flame retardants in plastics, electronics, and related products (the predominant source). The ecological impact caused by OPEs ranges from no risk to low risk, with tris(2-chloroethyl) phosphate emitted from industrial source being the primary driver of potential environmental risk. These findings highlight the necessity of prioritizing industrial sources in future management strategies. Overall, this study provides a methodological framework for source apportionment and risk assessment of OPEs and offers scientific evidence to support environmental management of OPEs in the DLB.
Aggregates differing in size and phytoplankton community composition were sampled in winter/spring 2001 and summer 1997 and 2002 (during mucilaginous event) in the northern Adriatic Sea. The fatty acid profiles (FAME) were determined in aggregates, bacterial population was grown from each aggregate and each bacterial isolate from aggregate's plated cultures. All aggregates irrespective of the season, aggregate size or phytoplankton community composition contained isolates from three distinct groups, with fatty acid profiles corresponding to alpha-Proteobacteria, gamma-Proteobacteria and Cytophaga-Flavobacter (CF) complex but in different relative proportions. Fatty acid profiles of the bacterial population grown from each aggregate revealed either the domination of one group (gamma, alpha or CF) or contribution of more groups (gamma and CF; alpha and CF). Specifically, as the aggregates age a shift in favor of bacteria belonging to CF-complex and corresponding decrease in bacteria similar to that of Proteobacteria occur. During the aggregate aging process and degradation of the mucous matrix, besides bacterial succession, the phytoplankton growth took place inside the aggregates. Such an aging pattern was confirmed through laboratory experiments with aggregates inhabited by the diatom Cylindrotheca closterium.
On-line delta34S analysis of sulfate using an elemental analyzer has a number of advantages vs. conventional off-line techniques, such as ease of operation, rapidity, and the requirement for small amounts of material. Although the analyses are performed by converting sulfate into SO2 gas, the effect of sulfate-delta18O composition upon the SO2-delta18O composition and the value of delta66 during elemental analysis, and ultimately the calculated sulfate-delta34S composition, has rarely been addressed. Three BaSO4 samples were prepared with known identical delta34S compositions, but with a wide range of delta18O compositions. delta18O values were shown to range over 40 per thousand, but conventional on-line delta34S analyses verified that the sulfate-delta34S compositions were identical. These results indicate that conventional on-line analysis of sulfate-delta34S is unaffected by the value of sulfate-delta18O, and suggest that sulfide-delta34S standards can be used to calibrate sulfate-delta34S analyses (and vice versa). Moreover, these results suggest that it may be possible to use on-line sulfur isotope analysis of SO2 to measure delta33S and Delta33S in addition to delta34S, as a faster and safer alternative to the SF6 technique currently utilized, and hence promote further study of mass-independent sulfur isotope fractionation effects.