7 research outputs found
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The determination of gasoline and alkyl benzenes in aqueous solution and the development of a remote reaction chamber for fiber optic remote sensing
The development and optimization of a single-phase derivatization
technique for small ring aromatics in water are presented. Also
described are the design, optimization and application of a remote
reaction chamber for fiber optic sensing.
Aqueous solutions of the major aromatic compounds in gasoline are
derivatized to o-nitrosophenol-Cu complexes with a modified Baudisch
reaction. The rate of formation of the complex is spectrophotometrically
monitored at 310 nm and related to the concentration of benzene
and alkyl benzenes present. The measured rate for aqueous gasoline
samples is then related to gasoline concentration by estimating the
relative aromatic composition of the gasoline sample. The technique
provides a detection limit (DL) of 4 x 10â»â” % (v/v) and 4 x 10â»âŽ %
(v/v) for benzene and gasoline, respectively. The response is linear
to 0.01% (v/v) for benzene and 0.005% (v/v) for gasoline. The
technique was successfully applied as a bench top method for detecting
gasoline and alkyl benzenes, but due to the loss in reactivity of the
reagents once mixed, the methodology was not suited for remote sensing applications.
A remote reaction chamber (RRC) optrode was developed to
facilitate in situ monitoring using derivatization techniques to form a
luminescent product. The RRC optrode is a submergible chamber into
which excitation radiation is input with one optical fiber and emission
radiation is collected and directed to a photodetection system with
another optical fiber. The RRC optrode allows for the isolation of a
sample by applying a vacuum to a one-way exhaust valve. When the
vacuum is applied the sample enters through a one-way intake valve and
partially fills the internal chamber. After the vacuum is terminated,
up to three reagents are injected with automated syringes through
injection lines. Mixing of the sample and injected reagents is
accomplished with a miniature stir driver and stir bar contained in the
RRC optrode. The formation of a luminescent species results, and the
intensity of the emitted radiation is related to the concentration of
the analyte being studied.
The RRC optrode was developed and optimized for the determination
of trace levels of Al(III) and Cr(VI). A modified method of standard
addition was also developed for use with the RRC optrode and optimized
for the Al(III) study.
Trace levels of aluminum are determined by measuring the rate of
formation of the fluorescent chelate of Al(III) with 2,4,2'-trihydroxy-azobenzene-5'-sulfonic acid. This method provides a DL of 0.13 ng/mL
and a linear dynamic range of four orders of magnitude using the RRC
optrode. One of the reagent lines of the RRC optrode was configured to
inject an Al(III) standard solution to implement in situ standard addition measurements. Analysis of a tap water sample with external
standards and the standard-addition procedure produced equivalent
results.
Low concentrations of Cr(VI) in water were determined by
monitoring the intensity of the chemiluminescence (CL) produced when
Cr(VI) is mixed with a lophine-Hâ0â-K0H reagent system in the RRC
optrode. This technique exhibits a DL of 11 ng/mL with a linear
response up to 10 ÎŒg/mL
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Performance/outcomes data and physician process challenges for practical big data efforts in radiation oncology
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146290/1/mp13136.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146290/2/mp13136_am.pd
Supplemental Data 2 - Species Traits
Species trait values used in analyses
Data set for analyses
Includes study area, site, year, and species information as well as covariates used in the analyses. Exact location information is not included for sites due to the sensitive nature of many of the species. Please contact authors directly to request this information
Supplemental Data 1 - Code to fit model
Model code in bugs language
Data from: Quantifying climate sensitivity and climate-driven change in North American amphibian communities
Changing climate will impact speciesâ ranges only when environmental variability directly impacts the demography of local populations. However, measurement of demographic responses to climate change has largely been limited to single species and locations. Here we show that amphibian communities are responsive to climatic variability, using >500,000 time-series observations for 81 species across 86 North American study areas. The effect of climate on local colonization and persistence probabilities varies among eco-regions and depends on local climate, species life-histories, and taxonomic classification. We found that local species richness is most sensitive to changes in water availability during breeding and changes in winter conditions. Based on the relationships we measure, recent changes in climate cannot explain why local species richness of North American amphibians has rapidly declined. However, changing climate does explain why some populations are declining faster than others. Our results provide important insights into how amphibians respond to climate and a general framework for measuring climate impacts on species richness