Forever chemicals: the ugly side of cosmetics
Notice bibliographique
Résumé
Perfluoroalkyl and polyfluoroalkyl substances, also known as PFAS, are aliphatic carbon chains, on which all the hydrogen substituents have been replaced by fluorine atoms such that they contain the perfluoroalkyl CnF2n+1 moiety1. They are a large, intricate, and constantly developing class of synthetic chemicals utilized in a variety of everyday products. For instance, they may make clothes and carpets stain-resistant, stop food from sticking to cookware, and increase the efficiency of firefighting foam. PFAS are also used by the military, automotive, aerospace, building, and electronics sectors (https://www.niehs.nih.gov/health/topics/agents/pfc/index.cfm). Human exposure to PFAS has been primarily attributed to contaminated food and drinking water2. It is a widespread occurrence, with numerous exposures and growing numbers, as much as 4700 PFAS existing, and are posing concerns about the public health impact. Some long-term studies have shown a link between exposure to PFAS and increased risk of type 2 diabetes in women, altered immune and thyroid function, liver disease, lipid and insulin dysregulation, kidney disease, adverse reproductive and developmental outcomes, and cancer (https://www.niehs.nih.gov/health/topics/agents/pfc/index.cfm3). Multiple studies conducted globally have revealed that PFAS has also “silently” maneuvered its way into the cosmetic industry. The prolific usage of PFAS in makeup and skin care products is due to its hydrophobic chemical property and film-forming ability, which are believed to increase product durability, spreadability, and wear. In addition, benefits like increased skin absorption of the product and better skin texture have also been reported4. However, the association of PFAS exposure with the various organ function derangements, as aforementioned, is a conspicuous testimony of its cons outweighing the pros. A recent study by Whitehead et al5 evaluating the occurrence of fluorinated ingredients in 231 cosmetic products, across 8 categories, of well-known brands in North America and Canada revealed that high total fluorine ≥0.384 μg F/cm2 was found in several of these with the highest proportion of products being foundations (65%), mascaras (47%), and lip products (55%). These products also happen to be most commonly used by women. Moreover, the ingredient lists of most products tested did not reveal the presence of fluorinated compounds in the product packaging, indicative of a loophole in United States and Canadian labeling laws5. Pakistan is among the major importers of cosmetics and personal care products, largely posing a threat to its consumer base: women who form 48.5% of its population. By means of this study, we aim to draw the attention of the concerned authorities towards strictly regulating and monitoring the use of such chemicals in cosmetics, and the manufacturers to use human-friendly ingredients with their associated risks mentioned on the product to ensure complete transparency. The use of cosmetics on a daily basis should also be discouraged, especially those containing high levels of PFAS as aforementioned. Lastly, further study is required on available alternative PFAS and their level of safety measures. Ethical approval Not applicable. Sources of funding None. Author contributions O.A.S., A.F., conceived the idea, M.S., L.K., V.J. performed a literature review and wrote the manuscript. R., M.S.A., I.U., reviewed the manuscript and critically revised it to the final form. All authors approved the final version of the manuscript. Conflict of interest disclosures The authors declare that they have no financial conflict of interest with regards to the content of this report. Research registration unique identifying number (UIN) N/A. Guarantor Muhammad Sohaib Asghar.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».