Price: ₹599 - ₹319.00
(as of Nov 07,2024 23:14:59 UTC – Details)
We are not chemical-free, we are Conscious Chemist. We understand that Chemical and Natural are not contradictory but harmonious. We aim to give the best of skincare, that science has to offer.
Product Dimensions : 4.1 x 4.1 x 10.85 cm; 30 g
Date First Available : 21 July 2020
Manufacturer : R.I. Ayurveda Research Labs
ASIN : B08DDC596P
Item model number : Vitamin C Face Serum
Country of Origin : India
Manufacturer : R.I. Ayurveda Research Labs
Packer : Era Botanics Private limited
Item Weight : 30 g
Item Dimensions LxWxH : 41 x 41 x 108 Millimeters
Net Quantity : 30.00 count
Generic Name : Serum
Advanced Vitamin C Formula: Features 10% 3-O Ethyl Ascorbic Acid, a stable and non-irritating form of Vitamin C, to visibly brighten skin, reduce dark spots, and enhance overall skin radiance.
Potent Antioxidant Protection: Packed with a powerful antioxidant complex of Glutathione, Pomegranate, Carrot Seed, and Turmeric extracts, this serum helps protect your skin from oxidative stress and environmental damage.
Deep Hydration & Moisture Retention: Enriched with Hyaluronic Acid to provide long-lasting hydration, locking in moisture to keep skin plump, soft, and supple.
Collagen-Boosting Tri-Peptide Complex: Formulated with Palmitoyl Tripeptide-1 and Palmitoyl Tetrapeptide-7, this serum stimulates collagen production to reduce fine lines and wrinkles, promoting firmer, more youthful skin.
Nourishing & Clean Ingredients: Contains a blend of natural extracts like Bearberry and Raspberry, combined with Ferulic Acid and Allantoin, to soothe, nourish, and revitalize skin without harsh chemicals. Vegan and cruelty-free.
Customers say
Customers like the quality, complexion, and texture of the skin serum. They mention it delivers on its promises, gives their skin a glow, and improves their skin texture. Some say it helps rebuild collagen and has a soothing effect. Customers also appreciate the advanced, clinically-tested ingredients and natural extracts.
AI-generated from the text of customer reviews