Daily Cosmetic Research Analysis
Three studies advance cosmetic safety science: a non-target HRMS workflow uncovers hidden sulfate/sulfonate surfactants in personal care products, a weighed-use survey provides China-specific exposure factors across 20 cosmetic categories, and a validated HPLC-HRMS assay enables urinary biomonitoring of resorcinol in hairdressers. Together, they strengthen exposure assessment, regulatory surveillance, and occupational health.
Summary
Three studies advance cosmetic safety science: a non-target HRMS workflow uncovers hidden sulfate/sulfonate surfactants in personal care products, a weighed-use survey provides China-specific exposure factors across 20 cosmetic categories, and a validated HPLC-HRMS assay enables urinary biomonitoring of resorcinol in hairdressers. Together, they strengthen exposure assessment, regulatory surveillance, and occupational health.
Research Themes
- Chemical surveillance of personal care products
- Exposure assessment and biomonitoring
- Regulatory and occupational health implications
Selected Articles
1. Nontarget screen and identify sulfate and sulfonate surfactants in personal care products using UHPLC-Q-Orbitrap-HRMS based on fragmentation characteristics and sulfur isotopologue pattern.
A robust non-target UHPLC-Q-Orbitrap-HRMS workflow leveraging sulfur isotopologue patterns and diagnostic fragments identified 20 sulfate and 12 sulfonate surfactants in personal care products, including eight sulfonates reported for the first time in PCPs. Notably, 22 sulfate/sulfonate compounds were found in products labeled as free of these surfactants, highlighting labeling discrepancies and regulatory needs.
Impact: Provides an advanced analytical framework and evidence of undeclared surfactants in PCPs, directly informing product surveillance and consumer safety regulation.
Clinical Implications: Supports dermatology and allergy counseling by identifying potential hidden irritants/allergens; informs regulators and toxicologists for risk assessments and enforcement against mislabeling.
Key Findings
- Developed a non-target UHPLC-Q-Orbitrap-HRMS strategy using sulfur isotope patterns plus diagnostic fragments and an in-lab R script.
- Identified 20 sulfate and 12 sulfonate surfactants (C12–C26; 0–7 ethoxy units; 200–600 Da) with confidence level ≥3.
- Eight sulfonates (3 alkyl, 3 methyl ammonium, 2 bis-sulfonates) were reported for the first time in PCPs.
- Detected 22 sulfate/sulfonate compounds in products labeled as free of these surfactants.
Methodological Strengths
- High-resolution accurate-mass non-target workflow with sulfur isotopologue pattern recognition.
- Custom R-based identification leveraging characteristic fragment ions increases specificity.
Limitations
- Primarily identification (confidence level ≥3) without comprehensive quantification or exposure estimates.
- Sampling frame and representativeness of PCPs not fully detailed, risking selection bias.
Future Directions: Expand to quantitative screening, link findings to dermal exposure modeling and health outcomes, and implement market-wide surveillance for labeling compliance.
2. Determining the cosmetics usage patterns of consumers for exposure assessment in China.
A weighed-use survey of 680 adults in Guangdong generated exposure factors for 20 cosmetic categories. Over 60% used shower gel and shampoo, and about half used face cleanser, shower gel, shampoo, and conditioner daily. The dataset provides China-specific inputs for realistic exposure assessments and regulatory risk evaluations.
Impact: Establishes foundational, location-specific exposure factors for cosmetics in China using direct weighed measurements, addressing a critical data gap.
Clinical Implications: Enables more realistic dermal/oral exposure scenarios for risk assessments, guiding safe concentration limits and consumer advice for frequent-use products.
Key Findings
- Surveyed 680 participants (268 men, 412 women) using a weighing method with photographic documentation.
- Generated exposure factors for 20 cosmetic product types.
- Over 60% reported use of shower gel and shampoo; ~50% used face cleanser, shower gel, shampoo, and conditioner daily.
- Substantial interindividual variability in amounts used was observed.
Methodological Strengths
- Direct weighing of products used, reducing recall bias.
- Photographic documentation to ensure completeness and accuracy.
Limitations
- Regional sample (Guangdong) limits national generalizability.
- Self-selection and moderate sample size may introduce selection bias.
Future Directions: Scale to a nationally representative survey, stratify by demographics and regions, and integrate with exposure modeling and biomonitoring data.
3. Development of a novel HPLC-HRMS method for quantitative analysis of resorcinol in urine: Application to hairdressers' occupational exposure.
A validated HPLC-HRMS workflow with enzymatic hydrolysis, SLE cleanup, and dansyl derivatization quantified urinary resorcinol while chromatographically separating it from catechol and hydroquinone. The method was applied to hairdressers to assess occupational exposure to this endocrine-active cosmetic ingredient.
Impact: Delivers a sensitive, specific biomonitoring tool for a thyroid-active cosmetic chemical, enabling surveillance and risk management in cosmetology workplaces.
Clinical Implications: Supports occupational health programs by quantifying resorcinol exposure in hairdressers, informing exposure controls, medical surveillance, and regulatory limits.
Key Findings
- Developed a sensitive HPLC-HRMS method incorporating enzymatic hydrolysis, supported-liquid extraction, and dansyl chloride derivatization.
- Achieved chromatographic separation of resorcinol from urinary isomers catechol and hydroquinone on a Kinetex Biphenyl column.
- Applied the method to hairdressers to assess occupational exposure to resorcinol.
Methodological Strengths
- Comprehensive sample preparation addressing conjugated metabolites and matrix effects.
- High-resolution accurate-mass detection with isotopically labeled internal standard.
Limitations
- Application details (sample size, control group) not specified in the abstract.
- Derivatization adds complexity and potential variability across labs.
Future Directions: Validate across larger and diverse cohorts with reference ranges, compare occupational groups, and correlate biomarker levels with thyroid endpoints.