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After treatment of arsenic solution through TSCC, the resulting FTIR spectra of batch and column operations gave similar results for each arsenic [As III) and As V)] species.
The input vectors, 16 sets of experimental data for each arsenic species contain pH, initial concentration, adsorbent dosage, contact time, stirring rate and temperature.
We designed one model for each arsenic metabolite.
Within each arsenic concentration category, RRs increased with cumulative arsenic exposure.
Associations between nutrient levels and the proportions of each arsenic species were assessed in two ways.
The value of each arsenic species was finally adjusted by the concentration of urinary creatinine (Cr).
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Stock standard solutions for each metal arsenic (As), cadmium (Cd), lead (Pb), nickel (Ni), zinc (Zn), and iron (Fe) with a concentration of 1000 ppm were supplied by Perkin Elmer USA.
We also conducted a second sensitivity analysis using beta regression for each % arsenic species (divided by 100) since these biomarkers are proportion data [ 51] and Dirichlet regression, a multivariate modification of the beta regression that models all % arsenic species as a set that must sum to one [ 52].
The detection limit ranged from 0.1 μg/L to 0.15 μg/L for each individual arsenic species.
The methods detected both oxidation states for each form of arsenic (inorganic, monomethyl, dimethyl) and provided a single result for each methylation level.
Furthermore, the Entrez Gene identifiers were then used to remotely download the SNP Analysis page in SNPs3D for each CTD arsenic-annotated gene.
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