Trace Elements Analysis Core: Abstract The primary goal of the Trace Element Analysis (TEA) core is to provide low level trace element analysis and speciation and analytical chemistry expertise to Dartmouth SRP researchers to allow them to successfully complete the aims of their individual projects. Additionally, the TEA core strives to be at the forefront of (mission-related) method development that augments the themes of the Dartmouth SRP projects and advances these projects by providing analytical advances such as lower detection limits, quantification of as yet unmeasured metal species, and the novel application of an analytical methodology. The TEA core utilizes state of the art analytical instrumentation based on inductively coupled plasma mass spectrometry (ICP-MS) to provide low level determinations of trace elements in a variety of biological and environmental matrices. The TEA core also provides speciation analysis for arsenic and mercury by liquid chromatography and gas chromatography coupled to ICP-MS, respectively. The core strives to provide accurate, precise and validated data to support Dartmouth Superfund Projects and employs a quality control program commensurate with that expected of US EPA contract laboratories. The TEA core participates in national and international proficiency testing to ensure the accuracy of its analytical procedures and has been subject to both internal and external review processes to ensure it is providing useful analytical services in a timely manner. The core develops analytical methods such as 2D elemental imaging of biological samples by laser ablation-ICP-MS or extraction and determination of arsenic species in foods and juices to support projects 1 and 4. The core serves project 2 by providing new instrumentation and expertise for ultra-low level mercury determination and speciation. The core also serves project 3 and 4 by the determination of arsenic concentration and speciation in water, biological tissues and cell suspensions and lysates.
Trace Elements Analysis Core: Narrative The TEA core determines total arsenic and mercury concentration and speciation in biomarkers of human exposure such as hair, toenails, urine and blood and these data are used by epidemiologists to predict risk to human health. The core determines arsenic speciation in foods to predict potential risk to human health and determines mercury concentrations and speciation in the environment for the assessment of methylmercury production and fate in response to multiple environmental factors.
|Chen, Celia Y; Borsuk, Mark E; Bugge, Deenie M et al. (2014) Benthic and pelagic pathways of methylmercury bioaccumulation in estuarine food webs of the northeast United States. PLoS One 9:e89305|
|Shaw, Joseph R; Hampton, Thomas H; King, Benjamin L et al. (2014) Natural selection canalizes expression variation of environmentally induced plasticity-enabling genes. Mol Biol Evol 31:3002-15|
|Sverrisson, Einar F; Zens, Michael S; Fei, Dennis Liang et al. (2014) Clinicopathological correlates of Gli1 expression in a population-based cohort of patients with newly diagnosed bladder cancer. Urol Oncol 32:539-45|
|Taylor, Vivien F; Bugge, Deenie; Jackson, Brian P et al. (2014) Pathways of CH3Hg and Hg ingestion in benthic organisms: an enriched isotope approach. Environ Sci Technol 48:5058-65|
|Torres, Iviana M; Patankar, Yash R; Shabaneh, Tamer B et al. (2014) Acidosis potentiates the host proinflammatory interleukin-1? response to Pseudomonas aeruginosa infection. Infect Immun 82:4689-97|
|Gosse, Julie A; Taylor, Vivien F; Jackson, Brian P et al. (2014) Monomethylated trivalent arsenic species disrupt steroid receptor interactions with their DNA response elements at non-cytotoxic cellular concentrations. J Appl Toxicol 34:498-505|
|Kwon, Sae Yun; Blum, Joel D; Chen, Celia Y et al. (2014) Mercury isotope study of sources and exposure pathways of methylmercury in estuarine food webs in the Northeastern U.S. Environ Sci Technol 48:10089-97|
|Pan, Qinxin; Hu, Ting; Malley, James D et al. (2014) A system-level pathway-phenotype association analysis using synthetic feature random forest. Genet Epidemiol 38:209-19|
|Wyszynski, Asaf; Tanyos, Sam A; Rees, Judy R et al. (2014) Body mass and smoking are modifiable risk factors for recurrent bladder cancer. Cancer 120:408-14|
|Norton, Gareth J; Douglas, Alex; Lahner, Brett et al. (2014) Genome wide association mapping of grain arsenic, copper, molybdenum and zinc in rice (Oryza sativa L.) grown at four international field sites. PLoS One 9:e89685|
Showing the most recent 10 out of 213 publications