44 research outputs found
Use of shallow samples to estimate the total carbon storage in pastoral soils
Using data from pastoral soils sampled by horizon at 56 locations across New Zealand, we conducted a meta-analysis. On average, the total depth sampled was 0.93 ± 0.026 m (± SEM), and on a volumetric basis, the total C storage averaged 26.9 ± 1.8, 13.9 ± 0.6 and 9.2 ± 1.4 kg C m⁻² for allophanic (n=12), non-allophanic (n=40) and pumice soils (n=4), respectively. We estimated the total C storage, and quantified the uncertainty, using the data for samples taken from the uppermost A-horizon whose depth averaged 0.1 ± 0.003 m. For A-horizon samples of the allophanic soils, the mean C content was 108 ± 6 g C kg⁻¹ and the bulk density was 772 ± 29 kg m⁻³, for non-allophanic soils they were 51 ± 4 g C kg⁻¹ and 1055 ± 29 kg m⁻³, and for pumice soils they were 68 ± 9 g C kg⁻¹ and 715 ± 45 kg m⁻³. The C density —a product of the C content and bulk density —of the A-horizon samples was proportional to their air-dried water content, a proxy measure for the mineral surface area. By linear regression with C density of the A-horizon, the total C storage could be estimated with a standard error of 3.1 kg C m⁻², 19% of the overall mean
In vivo biosensing via tissue-localizable near-infrared-fluorescent single-walled carbon nanotubes
Single-walled carbon nanotubes are particularly attractive for biomedical applications, because they exhibit a fluorescent signal in a spectral region where there is minimal interference from biological media. Although single-walled carbon nanotubes have been used as highly sensitive detectors for various compounds, their use as in vivo biomarkers requires the simultaneous optimization of various parameters, including biocompatibility, molecular recognition, high fluorescence quantum efficiency and signal transduction. Here we show that a polyethylene glycol ligated copolymer stabilizes near-infrared-fluorescent single-walled carbon nanotubes sensors in solution, enabling intravenous injection into mice and the selective detection of local nitric oxide concentration with a detection limit of 1 µM. The half-life for liver retention is 4 h, with sensors clearing the lungs within 2 h after injection, thus avoiding a dominant route of in vivo nanotoxicology. After localization within the liver, it is possible to follow the transient inflammation using nitric oxide as a marker and signalling molecule. To this end, we also report a spatial-spectral imaging algorithm to deconvolute fluorescence intensity and spatial information from measurements. Finally, we demonstrate that alginate-encapsulated single-walled carbon nanotubes can function as implantable inflammation sensors for nitric oxide detection, with no intrinsic immune reactivity or other adverse response for more than 400 days.National Institutes of Health (U.S.) (T32 Training Grant in Environmental Toxicology ES007020)National Cancer Institute (U.S.) (Grant P01 CA26731)National Institute of Environmental Health Sciences (Grant P30 ES002109)Arnold and Mabel Beckman Foundation (Young Investigator Award)National Science Foundation (U.S.). Presidential Early Career Award for Scientists and EngineersScientific and Technological Research Council of Turkey (TUBITAK 2211 Research Fellowship Programme)Scientific and Technological Research Council of Turkey (TUBITAK 2214 Research Fellowship Programme)Middle East Technical University. Faculty Development ProgrammeSanofi Aventis (Firm) (Biomedical Innovation Grant
Genome-wide analyses identify 30 loci associated with obsessive–compulsive disorder
Obsessive–compulsive disorder (OCD) affects ~1% of children and adults and is partly caused by genetic factors. We conducted a genome-wide association study (GWAS) meta-analysis combining 53,660 OCD cases and 2,044,417 controls and identified 30 independent genome-wide significant loci. Gene-based approaches identified 249 potential effector genes for OCD, with 25 of these classified as the most likely causal candidates, including WDR6, DALRD3 and CTNND1 and multiple genes in the major histocompatibility complex (MHC) region. We estimated that ~11,500 genetic variants explained 90% of OCD genetic heritability. OCD genetic risk was associated with excitatory neurons in the hippocampus and the cortex, along with D1 and D2 type dopamine receptor-containing medium spiny neurons. OCD genetic risk was shared with 65 of 112 additional phenotypes, including all the psychiatric disorders we examined. In particular, OCD shared genetic risk with anxiety, depression, anorexia nervosa and Tourette syndrome and was negatively associated with inflammatory bowel diseases, educational attainment and body mass index.publishedVersio
Toward In-Field Determination of Nitrate Concentrations Via Diffusive Gradients in Thin Films-Incorporation of Reductants and Color Reagents
Diffusive gradients in thin films (DGTs) have been established as useful tools for the determination of nitrate, phosphate, trace metals, and organic concentrations. General use of DGTs, however, is limited by the subsequent requirement for laboratory analysis. To increase the uptake of DGT as a tool for routine monitoring by nonspecialists, not researchers alone, methods for in-field analysis are required. Incorporation of color reagents into the binding layer, or as the binding layer, could enable the easy and accurate determination of analyte concentrations in-field. Here, we sought to develop a chitosan-stabilized silver nanoparticle (AuNP) suspension liquid-binding layer which developed color on exposure to nitrite, combined with an Fe(0)-impregnated poly-2-acrylamido-2-methyl-1-propanesulfonic acid/acrylamide copolymer hydrogel [Fe(0)-p(AMPS/AMA)] for the reduction of nitrate. The AuNP-chitosan suspension was housed in a 3D designed and printed DGT base, with a volume of 2 mL, for use with the standard DGT solution probe caps. A dialysis membrane with a molecular weight cutoff of <15 kDa was used, as part of the material diffusion layer, to ensure that the AuNP-chitosan did not diffuse through to the bulk solution. This synthesized AuNP-chitosan provided quantitative nitrite concentrations (0 to 1000 mg L-1) and masses (145 mu g) in laboratory-based color development studies. An Fe(III)-impregnated poly-2-acrylamido-2-methyl-1-propanesulfonic acid/acrylamide copolymer hydrogel [Fe(III)-p(AMPS/AMA)] was developed (10% AMPS, and 90% AMA), which was treated with NaBH4 to form an Fe(0)-p(AMPS/AMA) hydrogel. The Fe(0)-p(AMPS/AMA) hydrogel quantitatively reduced nitrate to nitrite. The total nitrite mass produced was similar to 110 mu g, from nitrate. The diffusional characteristics of nitrite and nitrate through the Fe(III)-p(AMPS/AMA) and dialysis membrane were 1.40 x 10(-5) and 1.40 x 10(-5) and 5.05 x 10(-6) and 5.15 x 10(-6) cm(2) s(-1) at 25 degrees C respectively. The Fe(0)-hydrogel and AuNP-chitosan suspension operated successfully in laboratory tests individually; however, the combined AuNP-chitosan suspension and Fe(0)-hydrogel DGT did not provide quantitative nitrate concentrations. Further research is required to improve the reaction rate of the AuNP-chitosan nitrite-binding layer, to meet the requirement of rapid binding to operate as a DGT
Toward In-Field Determination of Nitrate Concentrations Via Diffusive Gradients in Thin Films─Incorporation of Reductants and Color Reagents
Development of bromide-selective Diffusive Gradients in Thin-Films for the measurement of average flow rate of streams
Utility of ‘Diffusive Gradients in Thin-Films’ for the measurement of nitrate removal performance of denitrifying bioreactors
Toward In-Field Determination of Nitrate Concentrations Via Diffusive Gradients in Thin FilmsIncorporation of Reductants and Color Reagents
Diffusive gradients
in thin films (DGTs) have been established
as useful tools for the determination of nitrate, phosphate, trace
metals, and organic concentrations. General use of DGTs, however,
is limited by the subsequent requirement for laboratory analysis.
To increase the uptake of DGT as a tool for routine monitoring by
nonspecialists, not researchers alone, methods for in-field analysis
are required. Incorporation of color reagents into the binding layer,
or as the binding layer, could enable the easy and accurate determination
of analyte concentrations in-field. Here, we sought to develop a chitosan-stabilized
silver nanoparticle (AuNP) suspension liquid-binding layer which developed
color on exposure to nitrite, combined with an Fe(0)-impregnated poly-2-acrylamido-2-methyl-1-propanesulfonic
acid/acrylamide copolymer hydrogel [Fe(0)-p(AMPS/AMA)] for the reduction
of nitrate. The AuNP-chitosan suspension was housed in a 3D designed
and printed DGT base, with a volume of 2 mL, for use with the standard
DGT solution probe caps. A dialysis membrane with a molecular weight
cutoff of <15 kDa was used, as part of the material diffusion layer,
to ensure that the AuNP-chitosan did not diffuse through to the bulk
solution. This synthesized AuNP-chitosan provided quantitative nitrite
concentrations (0 to 1000 mg L–1) and masses (145
μg) in laboratory-based color development studies. An Fe(III)-impregnated
poly-2-acrylamido-2-methyl-1-propanesulfonic acid/acrylamide copolymer
hydrogel [Fe(III)-p(AMPS/AMA)] was developed (10% AMPS, and 90% AMA),
which was treated with NaBH4 to form an Fe(0)-p(AMPS/AMA)
hydrogel. The Fe(0)-p(AMPS/AMA) hydrogel quantitatively reduced nitrate
to nitrite. The total nitrite mass produced was ∼110 μg,
from nitrate. The diffusional characteristics of nitrite and nitrate
through the Fe(III)-p(AMPS/AMA) and dialysis membrane were 1.40 ×
10–5 and 1.40 × 10–5 and
5.05 × 10–6 and 5.15 × 10–6 cm2 s–1 at 25 °C respectively.
The Fe(0)-hydrogel and AuNP-chitosan suspension operated successfully
in laboratory tests individually; however, the combined AuNP-chitosan
suspension and Fe(0)-hydrogel DGT did not provide quantitative nitrate
concentrations. Further research is required to improve the reaction
rate of the AuNP-chitosan nitrite-binding layer, to meet the requirement
of rapid binding to operate as a DGT
