Price: ₹649.00 - ₹382.00
(as of Mar 10, 2025 12:58:08 UTC – Details)
Mother Sparsh Plant Powered liquid Laundry Detergent for babies has accurate blend of Botanical herbs which is perfect for cleaning babies washable such as baby clothes, towels, sheets, bedding, bib, woolen blankets and washable diapers. Our liquid detergent for babies is concentrated & added with Bio- enzymes which helps in removing tough milk residue, dirt & bad odour. Eucalyptus oil & Neem extracts in this baby detergent provides anti-bacterial property & leaves mild refreshing feel after every wash. Also, this mild liquid detergent is dermatologically tested & doesn’t contain any harsh chemicals such as SLS/SLES, dyes, phosphates, foam booster, bleach & parabens
Safe & plant powered formula: plant extracts & essential oils combined to formulate this mild & super-safe baby detergent.
Package Content: 1 Liquid Laundary Detergent
Quantity: 1 L. Material Type Free: Paraben Free. Anti bacterial: with ingredients like aloe & neem, this baby detergent has antibacterial properties that help in disposing off the microbes, germs & bacteria which emerges from food spills, sweat or dirt.
Natural, biodegradable & non toxic: mother sparsh laundry detergent for babies is formulated with elements from nature making the product super gentle, non-toxic & environment friendly.
Suitable for new born:- newborn has everything so gentle & so serene. We formulated mother sparsh baby liquid detergent specially for newborns need. Effective on tough stains: natural formula added with bio-enzymes to remove different variety of stains like milk spot, dirty & food leftovers.
Customers say
Customers find the laundry detergent mild and gentle for babies’ clothes. They appreciate its cleaning ability and softness, describing it as a good product that works well for washing baby clothes. Many customers find it suitable for washing kids’ clothing. The natural ingredients and value for money are also appreciated. However, some customers find the wateriness too strong.
AI-generated from the text of customer reviews