NACIFIC Rice Pepta Collagen Gel Facial M…
$17.99
Related Products
Price: $17.99
(as of Apr 08,2025 00:27:42 UTC – Details)
Water Glycerin Acrylates Copolymer Niacinamide Butylene Glycol 1.2-Hexanediol Saccharomyces/Rice Ferment Filtrate Panthenol Xanthan Gum Ceratonia Siliqua (Carob) Gum Carrageenan Hydroxyacetophenone Cellulose Gum Potassium Chloride Erythritol Sodium Polyacrylate Gellan Gum Propanediol Polyglyceryl-10 Laurate Allantoin Dextrin Sucrose Oryza Sativa (Rice) Extract Dipotassium Glycyrrhizate Cyclodextrin Caprylyl Glycol Ethylhexylglycer in Adenosine Sodium Phytate Hydrolyzed Extensin Sodium Hyaluronate Soluble Collagen Hydroxypropyltrimonium Hyaluronate Ceramide NP Sodium Acetylated Hyaluronate Hydrolyzed Hyaluronic Acid Hyaluronic Acid Sodium Hyaluronate Crosspolymer Hydrolyzed Sodium Hyaluronate Acetyl Hexapeptide-8 Copper Tripeptide-1 01 igopeptide-29 01 igopeptide-32 Potassium Hyaluronate Palmitoyl Pentapeptide-4
Package Dimensions : 7.13 x 6.42 x 0.83 inches; 7.76 ounces
Manufacturer : NACIFIC
ASIN : B0DJSJKSCR
Country of Origin : Korea, Republic of
COLLAGEN SKINCARE – Water-soluble collagen and plant-derived collagen extracted from carrots help tighten loose skin to make it bouncy and healthy
PORE MINIMIZING – Flawless triangular boosting formula enhances the skin’s foundation, leaving it smoother and more hydrated
DEEP HYDRATION – Collagen melts directly into the skin and shows immediate elasticity improvement effect
TRANS HYDROGEL – Absorbs an entire bottle of collagen essence into the skin, providing firm skin care
COMPLETE NUTRITION – Rice Peptide Essence provides hydration to skin all night long
Customers say
Customers find the facial mask effective, with its velvety texture absorbing beautifully into the skin and leaving it visibly smoother with reduced fine wrinkles. Moreover, the mask is easy to apply and provides excellent hydration, with customers noting their skin looks brighter every morning. Additionally, they appreciate its thickness and consider it worth the price.
AI-generated from the text of customer reviews