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Heraflora Caffeine Routine Göz Altı Aydınlatıcı, Morluk ve Torbalanma Karşıtı 30'lu Göz Maskesi
Eye Mask

Heraflora Caffeine Routine Göz Altı Aydınlatıcı, Morluk ve Torbalanma Karşıtı 30'lu Göz Maskesi

PETA kaydı bulunamadı

This is an eye mask applied to the under-eye area; its caffeine and peptide-rich formulation is designed to reduce dark circles, puffiness, and brighten the skin. It helps reduce blood vessels under the eyes, softens and hydrates the skin. The formula contains Caffeine, Sodium Hyaluronate, and Panthenol as hydrating and brightening agents, along with biologically active ingredients like Sh-Oligopeptide and Acetyl Hexapeptide. The formulation is developed for the sensitive under-eye area; humectants like Urea, Glycerin, and Trehalose nourish the skin, while Carbomer and Triethanolamine maintain consistency. Phenoxyethanol and Sodium Benzoate are used as preservatives.

iBilmen gerekenler

  • Caffeine: Caffeine, when used under the eye at low exposure levels, shows endocrine activity only at screening levels.

    Dayanak: DEDuCT: kemirgende in vivo endokrin bulgu · EPA ToxCast: tarama düzeyinde endokrin aktivite

  • Triethanolamine: Triethanolamine shows endocrine activity in mice; in short-term use like eye masks, it poses low risk.

    Dayanak: DEDuCT: kemirgende in vivo endokrin bulgu

  • Urea: Urea shows endocrine activity at screening levels; it does not cause issues when used at low concentrations like in eye masks.

    Dayanak: EPA ToxCast: tarama düzeyinde endokrin aktivite

İçerikler

Etkili maddeler

10

Ürünün asıl işini yapan maddeler.

Bakım verenler

13

Temizlemenin ötesinde iş yapar: nemlendirme, yumuşatma, güçlendirme.

Koruyucular

3

Ürünün içinde bakteri ve küf üremesini engeller.

Kıvam ve doku

15

Ürünün kıvamını, sürülmesini ve dağılmasını ayarlar.

Taşıyıcı ve çözücüler

1

Diğer maddeleri içinde çözüp taşır. Genelde ürünün en büyük kısmıdır.

Where this page’s data comes from

This product was identified from a photo submitted through the Arin app, the user may have taken it on the spot or uploaded an existing image. The product name and category were read from that photo, and the ingredient list from the product label or the manufacturer’s or retailer’s page, using AI. The ingredient assessment draws on regulatory sources such as the EU CosIng annexes, SCCS opinions and CIR expert panel reviews.

Information read from a photo may be incomplete or inaccurate; the product’s own packaging is authoritative.