5 research outputs found
Toxicokinetics of bisphenol-S and its glucuronide in plasma and urine following oral and dermal exposure in volunteers for the interpretation of biomonitoring data
The measurement of bisphenol-S (BPS) and its glucurono-conjugate (BPSG) in urine may be used for the biomonitoring of exposure in populations. However, this requires a thorough knowledge of their toxicokinetics. The time courses of BPS and BPSG were assessed in accessible biological matrices of orally and dermally exposed volunteers. Under the approval of the Research Ethics Committee of the University of Montreal, six volunteers were orally exposed to a BPS-d8 deuterated dose of 0.1 mg/kg body weight (bw). One month later, 1 mg/kg bw of BPS-d8 were applied on 40 cm2 of the forearm and then washed 6 h after application. Blood samples were taken prior to dosing and at fixed time periods over 48 h after treatment; complete urine voids were collected pre-exposure and at pre-established intervals over 72 h postdosing. Following oral exposure, the plasma concentration–time courses of BPS-d8 and BPSG-d8 over 48 h evolved in parallel, and showed a rapid appearance and elimination. Average peak values (±SD) were reached at 0.7 ± 0.1 and 1.1 ± 0.4 h postdosing and mean (±SD) apparent elimination half-lives (t½) of 7.9 ± 1.1 and 9.3 ± 7.0 h were calculated from the terminal phase of BPS-d8 and BPSG-d8 in plasma, respectively. The fraction of BPS-d8 reaching the systemic circulation unchanged (i.e. bioavailability) was further estimated at 62 ± 5% on average (±SD) and the systemic plasma clearance at 0.57 ± 0.07 L/kg bw/h. Plasma concentration–time courses and urinary excretion rate profiles roughly evolved in parallel for both substances, as expected. The average percent (±SD) of the administered dose recovered in urine as BPS-d8 and BPSG-d8 over the 0–72 h period postdosing was 1.72 ± 1.3 and 54 ± 10%. Following dermal application, plasma levels were under the lower limit of quantification (LLOQ) at most time points. However, peak values were reached between 5 and 8 h depending on individuals, suggesting a slower absorption rate compared to oral exposure. Similarly, limited amounts of BPS-d8 and its conjugate were recovered in urine and peak excretion rates were reached between 5 and 11 h postdosing. The average percent (±SD) of the administered dose recovered in urine as BPS-d8 and BPSG-d8 was about 0.004 ± 0.003 and 0.09 ± 0.07%, respectively. This study provided greater precision on the kinetics of this contaminant in humans and, in particular, evidenced major differences between BPA and BPS kinetics with much higher systemic levels of active BPS than BPA, an observation explained by a higher oral bioavailability of BPS than BPA. These data should also be useful in developing a toxicokinetic model for a better interpretation of biomonitoring data
Evaluation of ground water quality using multiple linear regression and structural equation modeling
A methodology for characterizing ground water quality of watersheds
using hydrochemical data that mingle multiple linear regression and
structural equation modeling is presented. The aim of this work is to
analyze hydrochemical data in order to explore the compositional of
phreatic aquifer groundwater samples and the origin of water
mineralization, using mathematical method and modeling, in Maknassy
Basin, central Tunisia). Principal component analysis is used to
determine the sources of variation between parameters. These components
show that the variations within the dataset are related to variation in
sulfuric acid and bicarbonate, sodium and cloride, calcium and
magnesium which are derived from water-rock interaction. Thus, an
equation is explored for the sampled ground water. Using Amos software,
the structural equation modeling allows, to test in simultaneous
analysis the entire system of variables (sodium, magnesium, sulfat,
bicarbonate, cloride, calcium), in order to determine the extent to
which it is consistent with the data. For this purpose, it should
investigate simultaneously the interactions between the different
components of ground water and their relationship with total dissolved
solids. The integrated result provides a method to characterize ground
water quality using statistical analyses and modeling of hydrochemical
data in Maknassy basin to explain the ground water chemistry origin