Dr. Althea Amino Acid Gentle Bubble Cleanser for combination skin

How to apply

Questions and answers

What the research says

• Liposomal serine-incorporated hydrogel showed a 1.62 to 1.77 times greater moisturizing effect on human skin compared to hydrogel, hydrogel with serine, and hydrogel with blank liposome.

  The Korean Journal of Physiology & Pharmacology, 2015

• Hydrogel containing 0.25% RRE and 3% serine-SLN significantly enhanced the skin moisture content, with AUCC increased 2.21 times compared to blank hydrogel in human volunteers.

  Archives of Pharmacal Research, 2017

• Coco-glucoside powered emulgels containing probiotics and prebiotics demonstrated stability without phase separation and preserved probiotic viability for up to 11 days, supporting the skin's natural barrier.

  International Journal of Pharmaceutics, 2025

• Emulsions containing ceramides 1 and 3 improved skin hydration and reduced transepidermal water loss in sodium lauryl sulfate-irritated skin of fifteen healthy Asian women compared to a control emulsion.

  International Journal of Dermatology, 2008

• Topical application of 0.1% hyaluronic acid formulations of different molecular weights led to significant improvements in skin hydration and elasticity, with low-molecular-weight formulations also significantly reducing wrinkle depth in seventy-six female subjects compared to a vehicle control.

  Journal of Drugs in Dermatology, 2011

• Topical application of hyaluronic acid in conjunction with free gingival graft significantly reduced donor site postoperative pain until day 7 compared to normal saline, with no significant differences in graft dimensions or patient satisfaction.

  Clinical Oral Investigations, 2022

• Treatment with a hyaluronic acid-containing mouth rinse or topical gel led to significant lesion reduction, pain relief, and normalization of lesion color in adult patients with minor recurrent aphthous stomatitis, with the gel formulation showing an earlier healing onset at 3 days.

  BMC Oral Health, 2019

• A single application of a moisturizing fluid containing hyaluronic acid 1%, glycerin 5%, and Centella asiatica stem cells extract significantly increased skin hydration by 29% and reduced transepidermal water loss at 24 hours compared to baseline and an untreated control site in twenty healthy women.

  Clinical, Cosmetic and Investigational Dermatology, 2017

• The emollient V0034CR significantly reduced TEWL compared to vehicle and vehicle plus glycerol, and significantly increased corneometry scores compared to vehicle and vehicle plus petrolatum in healthy volunteers with dry skin, demonstrating combined barrier function improvement from petrolatum and hydration improvement from glycerol.

  Journal of Cosmetic Dermatology, 2020

• Ten days of treatment with a cream containing 20% glycerin significantly increased skin hydration measured by corneometer values in 17 healthy volunteers compared to a placebo cream, but showed no influence on transepidermal water loss or skin sensitivity to an irritating surfactant.

  International Journal of Cosmetic Science, 2001

Ingredients

Water, Coco-Glucoside, Glycerin, Disodium Cocoamphodiacetate, Butylene Glycol, 1,2-Hexanediol, Sodium Cocoyl Apple Amino Acids, Sodium Chloride, Potassium Cocoyl Glycinate, Sodium Cocoyl Glutamate, Hexylene Glycol, Potassium Cocoate, Polyglyceryl-10 Laurate, Ethylhexylglycerin, Disodium Edta, Tetrasodium Glutamate Diacetate, Citrus Aurantium Dulcis Peel Oil, Sodium Hyaluronate, Perilla Ocymoides Seed Extract, Glycine, Bambusa Vulgaris Water, Serine, Glutamic Acid, Aspartic Acid, Leucine, Alanine, Lysine, Arginine, Tyrosine, Phenylalanine, Proline, Valine, Threonine, Isoleucine, Histidine, Caprylic Capric Triglyceride, Cysteine, Methionine, Bisabolol, Hydrogenated Lecithin, Phytosteryl Octyldodecyl Lauroyl Glutamate, Ceramide Np, Limonene

Behind this fit score

Lovi calculates every fit score from the full ingredient list with brand-independent rules our dermatologists and cosmetic chemists build and review, and personalizes every pick with AI trained on the real results of millions of users. Lovi trains its fit score models on a proprietary dataset built from more than 10,000 expert-labeled products and more than 100,000 simulated examples, following an internally consistent methodology presented at Cosmoprof, AMWC, and Skin of Color Update.