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An investigation of the absorption of lead (Pb) through skin with hair using synchrotron x-ray techniques

2025· book-chapter· en· W4412569150 on OpenAlex

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aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Products and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSynchrotronX-rayAbsorption (acoustics)Lead (geology)Materials scienceOpticsPhysicsGeologyComposite materialPaleontology

Abstract

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Recent μXRF (micro-x-ray fluorescence) data from our research group has shown that inorganic lead can be absorbed through the skin more readily than previously recognized. Here, we present the first μXRF images of lead uptake in the sweat glands and hair follicles of skin and show lead binding to hair. Lead acetate (used historically in hair dyes and cosmetics) was applied to the outermost layer of pig skin (the epidermis) and allowed to diffuse through the skin layers into a receptor solution for various time periods using a traditional Franz cell diffusion set-up. The receptor solution was analyzed by ICP-MS to determine the concentration of lead passing through the skin layers. The skin samples were prepared by flash freezing and microtoming for cross sectional μXRF imaging at the Canadian Light Source (CLS, Canada) and Synchrotron Soleil (France) using the BioXAS Imaging and PUMA beamlines, respectively. At each synchrotron facility, μXRF imaging was performed using a focused monochromatic x-ray beam (13.45-13.5 keV) on the skin samples. Samples were rastered in continuous bidirectional-flyscanning mode at 5 μm or 20 μm step size. XRF images were generated from the x-ray fluorescence spectra collected at each pixel by the silicon drift detector positioned 90 degrees to the incident beam. Elemental distribution maps were deconvoluted from the sum of spectra using the PyMCA softeware and XRF signals corresponding to the lead L-series were further analyzed to determine the path of lead through the skin. At the CLS, a sample of skin with the underlying fat layer was imaged. The data shows strong evidence of the diffusion of lead through the skin layers into the fat, with specific uptake in cells within the epidermis and in sweat glands. The observed accumulation of lead in the sweat glands led to addition diffusion experiments using pig skin with hair, since hair follicles are often associated with sweat glands anatomically. These samples were imaged at Synchrotron Soleil, where skin samples with hair showed a different pattern of diffusion compared to hairless pig skin. For skin with hair, a lead diffusion gradient from the skin surface into the deeper skin layers is present in areas where hair is absent and is minimal in areas where hair is present. Lead uptake was also seen in the hair shaft of the pig skin in cases of long diffusion times, but mainly in the hair cuticle. This is supported by μXRF images obtained from lead-treated human hair embedded in resin, which showed little-to-no lead uptake within the hair cortex, with high levels of lead uptake in the cuticle and medulla. Diffusion data from ICP-MS analysis for samples of skin with hair show a decrease in the concentration of lead in the receptor solution compared to hairless skin. These data combined with the information from the μXRF maps showing binding to hair and less diffusion at hair follicles suggests that the presence of hair reduces the diffusion of lead through the skin and alters the uptake of lead by skin.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.164

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.239
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

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Citations0
Published2025
Admission routes1
Has abstractyes

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