Use of Cosmetics in Pregnancy and Neurotoxicity: Can It

Overview

This source page is a mechanical bulk-ingest record for a PDF in the research-pulls corpus. It preserves source-level identity, routeable product/analyte scope, and exact extracted numeric lines for later human or fresh-context audit. It does not derive HMTc thresholds, percentiles, or brand-by-brand comparisons.

Key numbers

The worker extracted the full PDF text with layout preservation twice and compared extraction hashes before commit. The following lines are copied from numeric/table-bearing regions of the PDF and retain the source units and wording where legible:

• Table 1. Most common neurotoxic components in Cosmetics and Personal Care Products.
• co-cause or trigger, suggesting that some cases of HSCR might be preventable (75).
• Table 3. Neurotoxic compounds and associated embryo/development complications.

Methods (brief)

• • Correspondence: mariaangeles.tapia-laliena@medma.uni-heidelberg.de
• samples and were demonstrated to affect birth outcome, where some metals adversely
• exposure to childhood obesity, maternal urine samples at the 34th week of gestation con-
• adult samples of zebrafish (15,16). In animal models, prolonged exposure to PBs provokes
• Liquid Chromatography-Tandem Mass Spectrometry. J. Chromatogr. A 2017, 1487, 153–161. (CrossRef)

Implications

This page makes the source discoverable for category-level evidence routing. Values remain source-native and should be used only with the stated matrix, species, basis, geography, and censoring context from the paper. The page does not convert total mercury to methylmercury or use total arsenic as inorganic arsenic.

Wiki pages this source may touch

• Fish — marine, predatory (tuna, swordfish, shark, king mackerel)
• Baby Sunscreen, Mineral (ZnO + TiO2)
• Mercury
• Cadmium
• Lead
• Arsenic
• Nickel
• Aluminum
• Chromium

Verification notes

• Identity check: DOI, raw handle, candidate cite-key, and SHA-256 were compared against existing the linked reference record pages before creation.
• Full-PDF read: pdftotext -layout was run on the full PDF twice; extracted text hashes matched before the page was written.
• Numeric verification: numeric/table-bearing lines were selected mechanically from the verified extraction and preserved without unit conversion or rounding.
• Brand firewall: the worker skips PDFs when extracted numeric lines appear brand/manufacturer-sensitive; this page contains category-level or species-level evidence only.
• HMTc firewall: no threshold, percentile, pass/fail, clean/dirty, or certification math is stated.

Update history

No substantive edit history is available in this build. The full commit record is available in git.